From 4659778d8b9364e40aafbc3d7da70c2d5961236e Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Thu, 30 Jul 2020 00:55:38 -0500 Subject: [PATCH 001/253] push current --- examples/advection/weak.py | 6 +- grudge/execution.py | 8 +- grudge/grudge_array_context.py | 72 + test/test_results.txt | 10617 +++++++++++++++++++++++++++++++ 4 files changed, 10698 insertions(+), 5 deletions(-) create mode 100644 grudge/grudge_array_context.py create mode 100644 test/test_results.txt diff --git a/examples/advection/weak.py b/examples/advection/weak.py index 88703a0e9..21ce4f859 100644 --- a/examples/advection/weak.py +++ b/examples/advection/weak.py @@ -23,7 +23,8 @@ import pyopencl as cl -from meshmode.array_context import PyOpenCLArrayContext +#from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext from grudge import bind, sym @@ -88,7 +89,8 @@ def __call__(self, evt, basename, overwrite=True): def main(ctx_factory, dim=2, order=4, visualize=True): cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + #actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) # {{{ parameters diff --git a/grudge/execution.py b/grudge/execution.py index 1c25739d1..1f6305a35 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -274,8 +274,10 @@ def prg(): 0<=idof-4-upwind-strong-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c748> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'strong' +flux_type = 'upwind', order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-weak-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c748> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'weak' +flux_type = 'upwind', order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-weak-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c748> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'weak', flux_type = 'upwind' +order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-weak-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c748> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'weak', flux_type = 'upwind' +order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-strong-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c748> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'strong' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-strong-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c748> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'strong' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-strong-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c748> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'strong' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-weak-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c748> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'weak' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-weak-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c748> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'weak', flux_type = 'upwind' +order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-weak-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c748> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'weak', flux_type = 'upwind' +order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-strong-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'strong' +flux_type = 'upwind', order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-strong-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'strong' +flux_type = 'upwind', order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-strong-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'strong' +flux_type = 'upwind', order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-weak-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'weak' +flux_type = 'upwind', order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-weak-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'weak', flux_type = 'upwind' +order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-weak-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'weak', flux_type = 'upwind' +order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-strong-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'strong' +flux_type = 'upwind', order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'strong' +flux_type = 'upwind', order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-strong-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'strong' +flux_type = 'upwind', order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-weak-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'weak' +flux_type = 'upwind', order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-weak-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'weak', flux_type = 'upwind' +order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-weak-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'weak', flux_type = 'upwind' +order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-strong-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'strong' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-strong-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'strong' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-strong-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'strong' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-weak-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'weak' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-weak-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'weak', flux_type = 'upwind' +order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-weak-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c710> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'weak', flux_type = 'upwind' +order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-strong-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'strong' +flux_type = 'upwind', order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-strong-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'strong' +flux_type = 'upwind', order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-strong-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'strong' +flux_type = 'upwind', order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-weak-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'weak' +flux_type = 'upwind', order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-weak-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'weak', flux_type = 'upwind' +order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-3-upwind-weak-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'weak', flux_type = 'upwind' +order = 3, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-strong-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'strong' +flux_type = 'upwind', order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'strong' +flux_type = 'upwind', order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-strong-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'strong' +flux_type = 'upwind', order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-weak-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'weak' +flux_type = 'upwind', order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-weak-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'weak', flux_type = 'upwind' +order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-4-upwind-weak-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'weak', flux_type = 'upwind' +order = 4, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-strong-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'strong' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-strong-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'strong' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-strong-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'strong' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-weak-disk-mesh_pars0] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'disk', mesh_pars = [0.1, 0.05], op_type = 'weak' +flux_type = 'upwind', order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-weak-rect2-mesh_pars1] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect2', mesh_pars = [4, 8], op_type = 'weak', flux_type = 'upwind' +order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_advec[-5-upwind-weak-rect3-mesh_pars2] + +ctx_factory = .ContextFactory object at 0x7f4c1020c780> +mesh_name = 'rect3', mesh_pars = [4, 6], op_type = 'weak', flux_type = 'upwind' +order = 5, visualize = False + + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ + ("disk", [0.1, 0.05]), + ("rect2", [4, 8]), + ("rect3", [4, 6]), + ]) + @pytest.mark.parametrize("op_type", ["strong", "weak"]) + @pytest.mark.parametrize("flux_type", ["upwind"]) + @pytest.mark.parametrize("order", [3, 4, 5]) + # test: 'test_convergence_advec(cl._csc, "disk", [0.1, 0.05], "strong", "upwind", 3)' + def test_convergence_advec(ctx_factory, mesh_name, mesh_pars, op_type, flux_type, + order, visualize=False): + """Test whether 2D advection actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:219: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_maxwell[-3] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3fd0> +order = 3 + + @pytest.mark.parametrize("order", [3, 4, 5]) + def test_convergence_maxwell(ctx_factory, order): + """Test whether 3D maxwells actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:340: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_maxwell[-4] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3fd0> +order = 4 + + @pytest.mark.parametrize("order", [3, 4, 5]) + def test_convergence_maxwell(ctx_factory, order): + """Test whether 3D maxwells actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:340: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_maxwell[-5] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3fd0> +order = 5 + + @pytest.mark.parametrize("order", [3, 4, 5]) + def test_convergence_maxwell(ctx_factory, order): + """Test whether 3D maxwells actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:340: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_maxwell[-3] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3f98> +order = 3 + + @pytest.mark.parametrize("order", [3, 4, 5]) + def test_convergence_maxwell(ctx_factory, order): + """Test whether 3D maxwells actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:340: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_maxwell[-4] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3f98> +order = 4 + + @pytest.mark.parametrize("order", [3, 4, 5]) + def test_convergence_maxwell(ctx_factory, order): + """Test whether 3D maxwells actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:340: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_maxwell[-5] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3f98> +order = 5 + + @pytest.mark.parametrize("order", [3, 4, 5]) + def test_convergence_maxwell(ctx_factory, order): + """Test whether 3D maxwells actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:340: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_maxwell[-3] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3f60> +order = 3 + + @pytest.mark.parametrize("order", [3, 4, 5]) + def test_convergence_maxwell(ctx_factory, order): + """Test whether 3D maxwells actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:340: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_maxwell[-4] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3f60> +order = 4 + + @pytest.mark.parametrize("order", [3, 4, 5]) + def test_convergence_maxwell(ctx_factory, order): + """Test whether 3D maxwells actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:340: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_convergence_maxwell[-5] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3f60> +order = 5 + + @pytest.mark.parametrize("order", [3, 4, 5]) + def test_convergence_maxwell(ctx_factory, order): + """Test whether 3D maxwells actually converges""" + +> cl_ctx = cl.create_some_context() + +test_grudge.py:340: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_improvement_quadrature[-2] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3470> +order = 2 + + @pytest.mark.parametrize("order", [2, 3, 4]) + def test_improvement_quadrature(ctx_factory, order): + """Test whether quadrature improves things and converges""" + from meshmode.mesh.generation import generate_regular_rect_mesh + from grudge.models.advection import VariableCoefficientAdvectionOperator + from pytools.convergence import EOCRecorder + from pytools.obj_array import join_fields + from meshmode.discretization.poly_element import QuadratureSimplexGroupFactory + +> cl_ctx = cl.create_some_context() + +test_grudge.py:414: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_improvement_quadrature[-3] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3470> +order = 3 + + @pytest.mark.parametrize("order", [2, 3, 4]) + def test_improvement_quadrature(ctx_factory, order): + """Test whether quadrature improves things and converges""" + from meshmode.mesh.generation import generate_regular_rect_mesh + from grudge.models.advection import VariableCoefficientAdvectionOperator + from pytools.convergence import EOCRecorder + from pytools.obj_array import join_fields + from meshmode.discretization.poly_element import QuadratureSimplexGroupFactory + +> cl_ctx = cl.create_some_context() + +test_grudge.py:414: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_improvement_quadrature[-4] + +ctx_factory = .ContextFactory object at 0x7f4c1e8f3470> +order = 4 + + @pytest.mark.parametrize("order", [2, 3, 4]) + def test_improvement_quadrature(ctx_factory, order): + """Test whether quadrature improves things and converges""" + from meshmode.mesh.generation import generate_regular_rect_mesh + from grudge.models.advection import VariableCoefficientAdvectionOperator + from pytools.convergence import EOCRecorder + from pytools.obj_array import join_fields + from meshmode.discretization.poly_element import QuadratureSimplexGroupFactory + +> cl_ctx = cl.create_some_context() + +test_grudge.py:414: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_improvement_quadrature[-2] + +ctx_factory = .ContextFactory object at 0x7f4c1e8e5518> +order = 2 + + @pytest.mark.parametrize("order", [2, 3, 4]) + def test_improvement_quadrature(ctx_factory, order): + """Test whether quadrature improves things and converges""" + from meshmode.mesh.generation import generate_regular_rect_mesh + from grudge.models.advection import VariableCoefficientAdvectionOperator + from pytools.convergence import EOCRecorder + from pytools.obj_array import join_fields + from meshmode.discretization.poly_element import QuadratureSimplexGroupFactory + +> cl_ctx = cl.create_some_context() + +test_grudge.py:414: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_improvement_quadrature[-3] + +ctx_factory = .ContextFactory object at 0x7f4c1e8e5518> +order = 3 + + @pytest.mark.parametrize("order", [2, 3, 4]) + def test_improvement_quadrature(ctx_factory, order): + """Test whether quadrature improves things and converges""" + from meshmode.mesh.generation import generate_regular_rect_mesh + from grudge.models.advection import VariableCoefficientAdvectionOperator + from pytools.convergence import EOCRecorder + from pytools.obj_array import join_fields + from meshmode.discretization.poly_element import QuadratureSimplexGroupFactory + +> cl_ctx = cl.create_some_context() + +test_grudge.py:414: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_improvement_quadrature[-4] + +ctx_factory = .ContextFactory object at 0x7f4c1e8e5518> +order = 4 + + @pytest.mark.parametrize("order", [2, 3, 4]) + def test_improvement_quadrature(ctx_factory, order): + """Test whether quadrature improves things and converges""" + from meshmode.mesh.generation import generate_regular_rect_mesh + from grudge.models.advection import VariableCoefficientAdvectionOperator + from pytools.convergence import EOCRecorder + from pytools.obj_array import join_fields + from meshmode.discretization.poly_element import QuadratureSimplexGroupFactory + +> cl_ctx = cl.create_some_context() + +test_grudge.py:414: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_improvement_quadrature[-2] + +ctx_factory = .ContextFactory object at 0x7f4c1e8e58d0> +order = 2 + + @pytest.mark.parametrize("order", [2, 3, 4]) + def test_improvement_quadrature(ctx_factory, order): + """Test whether quadrature improves things and converges""" + from meshmode.mesh.generation import generate_regular_rect_mesh + from grudge.models.advection import VariableCoefficientAdvectionOperator + from pytools.convergence import EOCRecorder + from pytools.obj_array import join_fields + from meshmode.discretization.poly_element import QuadratureSimplexGroupFactory + +> cl_ctx = cl.create_some_context() + +test_grudge.py:414: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_improvement_quadrature[-3] + +ctx_factory = .ContextFactory object at 0x7f4c1e8e58d0> +order = 3 + + @pytest.mark.parametrize("order", [2, 3, 4]) + def test_improvement_quadrature(ctx_factory, order): + """Test whether quadrature improves things and converges""" + from meshmode.mesh.generation import generate_regular_rect_mesh + from grudge.models.advection import VariableCoefficientAdvectionOperator + from pytools.convergence import EOCRecorder + from pytools.obj_array import join_fields + from meshmode.discretization.poly_element import QuadratureSimplexGroupFactory + +> cl_ctx = cl.create_some_context() + +test_grudge.py:414: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_improvement_quadrature[-4] + +ctx_factory = .ContextFactory object at 0x7f4c1e8e58d0> +order = 4 + + @pytest.mark.parametrize("order", [2, 3, 4]) + def test_improvement_quadrature(ctx_factory, order): + """Test whether quadrature improves things and converges""" + from meshmode.mesh.generation import generate_regular_rect_mesh + from grudge.models.advection import VariableCoefficientAdvectionOperator + from pytools.convergence import EOCRecorder + from pytools.obj_array import join_fields + from meshmode.discretization.poly_element import QuadratureSimplexGroupFactory + +> cl_ctx = cl.create_some_context() + +test_grudge.py:414: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_bessel[] + +ctx_factory = .ContextFactory object at 0x7f4c10237ba8> + + def test_bessel(ctx_factory): +> cl_ctx = cl.create_some_context() + +test_grudge.py:489: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_bessel[] + +ctx_factory = .ContextFactory object at 0x7f4c10237b70> + + def test_bessel(ctx_factory): +> cl_ctx = cl.create_some_context() + +test_grudge.py:489: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError + test_bessel[] + +ctx_factory = .ContextFactory object at 0x7f4c10237be0> + + def test_bessel(ctx_factory): +> cl_ctx = cl.create_some_context() + +test_grudge.py:489: +_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + +interactive = False, answers = None + + def create_some_context(interactive=None, answers=None): + import os + if answers is None: + if "PYOPENCL_CTX" in os.environ: + ctx_spec = os.environ["PYOPENCL_CTX"] + answers = ctx_spec.split(":") + + if "PYOPENCL_TEST" in os.environ: + from pyopencl.tools import get_test_platforms_and_devices + for plat, devs in get_test_platforms_and_devices(): + for dev in devs: + return Context([dev]) + + if answers is not None: + pre_provided_answers = answers + answers = answers[:] + else: + pre_provided_answers = None + + user_inputs = [] + + if interactive is None: + interactive = True + try: + import sys + if not sys.stdin.isatty(): + interactive = False + except Exception: + interactive = False + + def cc_print(s): + if interactive: + print(s) + + def get_input(prompt): + if answers: + return str(answers.pop(0)) + elif not interactive: + return '' + else: + user_input = input(prompt) + user_inputs.append(user_input) + return user_input + + # {{{ pick a platform + + platforms = get_platforms() + + if not platforms: + raise Error("no platforms found") + else: + if not answers: + cc_print("Choose platform:") + for i, pf in enumerate(platforms): + cc_print("[%d] %s" % (i, pf)) + + answer = get_input("Choice [0]:") + if not answer: + platform = platforms[0] + else: + platform = None + try: + int_choice = int(answer) + except ValueError: + pass + else: + if 0 <= int_choice < len(platforms): + platform = platforms[int_choice] + + if platform is None: + answer = answer.lower() + for i, pf in enumerate(platforms): + if answer in pf.name.lower(): + platform = pf + if platform is None: + raise RuntimeError("input did not match any platform") + + # }}} + + # {{{ pick a device + + devices = platform.get_devices() + + def parse_device(choice): + try: + int_choice = int(choice) + except ValueError: + pass + else: + if 0 <= int_choice < len(devices): + return devices[int_choice] + + choice = choice.lower() + for i, dev in enumerate(devices): + if choice in dev.name.lower(): + return dev + raise RuntimeError("input did not match any device") + + if not devices: + raise Error("no devices found") + elif len(devices) == 1: + pass + else: + if not answers: + cc_print("Choose device(s):") + for i, dev in enumerate(devices): + cc_print("[%d] %s" % (i, dev)) + + answer = get_input("Choice, comma-separated [0]:") + if not answer: + devices = [devices[0]] + else: + devices = [parse_device(i) for i in answer.split(",")] + + # }}} + + if user_inputs: + if pre_provided_answers is not None: + user_inputs = pre_provided_answers + user_inputs + cc_print("Set the environment variable PYOPENCL_CTX='%s' to " + "avoid being asked again." % ":".join(user_inputs)) + + if answers: + raise RuntimeError("not all provided choices were used by " + "create_some_context. (left over: '%s')" % ":".join(answers)) + +> return Context(devices) +E pyopencl._cl.RuntimeError: Context failed: OUT_OF_HOST_MEMORY + +../../../miniconda3/envs/dgfem/lib/python3.7/site-packages/pyopencl/__init__.py:1462: RuntimeError +=============================== warnings summary =============================== +test/test_grudge.py::test_inverse_metric[-2] +test/test_grudge.py::test_inverse_metric[-2] +test/test_grudge.py::test_inverse_metric[-2] +test/test_grudge.py::test_inverse_metric[-2] +test/test_grudge.py::test_inverse_metric[-2] +test/test_grudge.py::test_inverse_metric[-3] +test/test_grudge.py::test_inverse_metric[-3] +test/test_grudge.py::test_inverse_metric[-3] +test/test_grudge.py::test_inverse_metric[-3] +test/test_grudge.py::test_inverse_metric[-3] +test/test_grudge.py::test_inverse_metric[-3] +test/test_grudge.py::test_inverse_metric[-3] +test/test_grudge.py::test_inverse_metric[-3] +test/test_grudge.py::test_inverse_metric[-3] 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+test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] + /home/njchris2/miniconda3/envs/dgfem/lib/python3.7/site-packages/grudge/symbolic/compiler.py:998: DeprecationWarning: temp_var_type should be Optional() if no temporary, not None. This usage will be disallowed soon. + ("*", "any"), + +test/test_grudge.py::test_inverse_metric[-2] + /home/njchris2/miniconda3/envs/dgfem/lib/python3.7/site-packages/loopy/transform/iname.py:678: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working + from collections import Iterable + +test/test_grudge.py::test_convergence_advec[-3-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-3-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-3-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-3-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-3-upwind-strong-rect3-mesh_pars2] +test/test_grudge.py::test_convergence_advec[-3-upwind-strong-rect3-mesh_pars2] +test/test_grudge.py::test_convergence_advec[-3-upwind-strong-rect3-mesh_pars2] +test/test_grudge.py::test_convergence_advec[-3-upwind-strong-rect3-mesh_pars2] +test/test_grudge.py::test_convergence_advec[-3-upwind-weak-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-3-upwind-weak-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-3-upwind-weak-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-3-upwind-weak-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-3-upwind-weak-rect3-mesh_pars2] +test/test_grudge.py::test_convergence_advec[-3-upwind-weak-rect3-mesh_pars2] +test/test_grudge.py::test_convergence_advec[-3-upwind-weak-rect3-mesh_pars2] +test/test_grudge.py::test_convergence_advec[-3-upwind-weak-rect3-mesh_pars2] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] +test/test_grudge.py::test_convergence_advec[-4-upwind-strong-rect2-mesh_pars1] + /home/njchris2/miniconda3/envs/dgfem/lib/python3.7/site-packages/grudge/symbolic/compiler.py:998: DeprecationWarning: temp_var_type should be Optional(None) if unspecified, not auto. This usage will be disallowed soon. + ("*", "any"), + +-- Docs: https://docs.pytest.org/en/latest/warnings.html +======= 67 failed, 23 passed, 9 skipped, 321 warnings in 132.64 seconds ======== From 49a35476e1410a18fd4cc55eccbcce161fec7726 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 4 Aug 2020 12:07:30 -0500 Subject: [PATCH 002/253] Begin to integrate dg kernel into grudge --- examples/maxwell/cavities.py | 6 ++-- examples/wave/wave-eager.py | 9 ++--- grudge/execution.py | 27 ++++++++++++++- grudge/grudge_array_context.py | 62 +++++++++++++++++++++++++++++++++- 4 files changed, 96 insertions(+), 8 deletions(-) diff --git a/examples/maxwell/cavities.py b/examples/maxwell/cavities.py index eb2ee28da..b56f4550c 100644 --- a/examples/maxwell/cavities.py +++ b/examples/maxwell/cavities.py @@ -28,7 +28,8 @@ import numpy as np import pyopencl as cl -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext +#from meshmode.array_context import PyOpenCLArrayContext from grudge.shortcuts import set_up_rk4 from grudge import sym, bind, DGDiscretizationWithBoundaries @@ -42,7 +43,8 @@ def main(dims, write_output=True, order=4): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) + #actx = PyOpenCLArrayContext(queue) from meshmode.mesh.generation import generate_regular_rect_mesh mesh = generate_regular_rect_mesh( diff --git a/examples/wave/wave-eager.py b/examples/wave/wave-eager.py index e78214313..3a23f94c5 100644 --- a/examples/wave/wave-eager.py +++ b/examples/wave/wave-eager.py @@ -29,7 +29,8 @@ from pytools.obj_array import flat_obj_array, make_obj_array -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext +#from meshmode.array_context import PyOpenCLArrayContext from meshmode.dof_array import thaw from meshmode.mesh import BTAG_ALL, BTAG_NONE # noqa @@ -89,7 +90,7 @@ def wave_operator(discr, c, w): )) ) -# }}} +# }}} def rk4_step(y, t, h, f): @@ -121,9 +122,9 @@ def bump(discr, actx, t=0): def main(): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue)#PyOpenCLArrayContext(queue) - dim = 2 + dim = 3 nel_1d = 16 from meshmode.mesh.generation import generate_regular_rect_mesh mesh = generate_regular_rect_mesh( diff --git a/grudge/execution.py b/grudge/execution.py index 1f6305a35..1216ffc52 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -40,6 +40,8 @@ from grudge import sym from grudge.function_registry import base_function_registry +import loopy_dg_kernels as dgk + import logging logger = logging.getLogger(__name__) @@ -268,6 +270,20 @@ def map_elementwise_linear(self, op, field_expr): @memoize_in(self.array_context, (ExecutionMapper, "elwise_linear_knl")) def prg(): + # Maybe can change shape and stride to make this work + ''' + result = make_loopy_program( + """{[iel, idof, j]: + 0<=iel Date: Tue, 11 Aug 2020 02:27:43 -0500 Subject: [PATCH 003/253] use optimized gpu kernel --- grudge/execution.py | 8 +++-- grudge/grudge_array_context.py | 64 +++++++--------------------------- 2 files changed, 18 insertions(+), 54 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index 1216ffc52..0b9db0164 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -292,8 +292,8 @@ def prg(): "result[iel, idof] = sum(j, mat[idof, j] * vec[iel, j])", name="elwise_linear") - result = lp.tag_array_axes(result, "result", "f,f") - result = lp.tag_array_axes(result, "vec", "f,f") + #result = lp.tag_array_axes(result, "result", "f,f") + #result = lp.tag_array_axes(result, "vec", "f,f") result = lp.tag_array_axes(result, "mat", "stride:auto,stride:auto") return result @@ -558,10 +558,12 @@ def prg(nmatrices): matrices_ary[i] = matrices[op.rst_axis] matrices_ary_dev = self.array_context.from_numpy(matrices_ary) - if noperators == 3: + # Breaks on complex data types + if noperators == 3 and field.entry_dtype == np.float64: n_out, n_in = matrices_ary_dev[0].shape n_elem = field[in_grp.index].shape[0] options = lp.Options(no_numpy=True, return_dict=True) + print(field.entry_dtype) program = dgk.gen_diff_knl_fortran(n_elem, n_in, n_out,options=options, fp_format=field.entry_dtype) else: program = prg(noperators) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index 635c739ac..9356c7bb2 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -12,42 +12,10 @@ def __init__(self, queue, allocator=None): def call_loopy(self, program, **kwargs): - ''' - if program.name == "elwise_linear": - #print("ELWISE LINEAR") - mat = kwargs["mat"] - result = kwargs["result"] - vec = kwargs["vec"] - - ctof_knl = lp.make_copy_kernel("f,f", old_dim_tags="c,c") - ftoc_knl = lp.make_copy_kernel("c,c", old_dim_tags="f,f") - - # Create input array - cq = vec.queue - shape = vec.shape - dtp = vec.dtype - inArg = pyopencl.array.Array(cq,shape,dtp, order="F") - - # Create output array - shape = result.shape - dtp = result.dtype - outArg = pyopencl.array.Array(cq, shape, dtp, order="F") - - #inArg.set(np.asfortranarray(vec)) - ctof_knl(cq, input=vec, output=inArg) - super().call_loopy(program,mat=mat,result=outArg,vec=inArg) - #result.set(np.ascontiguousarray(outArt.get())) - ftoc_knl(cq, input=outArg, output=result) - ''' - if program.name == "diff" and len(kwargs["diff_mat"]) == 3: - print(kwargs) + if program.name == "opt_diff": diff_mat = kwargs["diff_mat"] result = kwargs["result"] vec = kwargs["vec"] - print(vec) - print(type(vec)) - print(vec.strides) - print(vec.shape) ctof_knl = lp.make_copy_kernel("f,f", old_dim_tags="c,c") ftoc_knl = lp.make_copy_kernel("c,c", old_dim_tags="f,f") @@ -56,18 +24,9 @@ def call_loopy(self, program, **kwargs): cq = vec.queue shape = vec.shape dtp = vec.dtype - #inArg = pyopencl.array.Array(cq,shape,dtp, order="f") - print(vec.strides) - print(vec.shape) - _,(inArg,) = ctof_knl(cq, input=vec) - - print(inArg) - - print(inArg.strides) - print(inArg.shape) - - # Treat as c array + + # Treat as c array, can do this to use c-format diff function #inArg.shape = (inArg.shape[1], inArg.shape[0]) #inArg.strides = pyopencl.array._make_strides(vec.dtype.itemsize, inArg.shape, "c") @@ -79,14 +38,18 @@ def call_loopy(self, program, **kwargs): "mat2": diff_mat[1], "mat3": diff_mat[2] } - result = super().call_loopy(program, **argDict) + super().call_loopy(program, **argDict) - print(inArg) + result = kwargs["result"] - print(inArg.strides) - print(inArg.shape) + # Change order of result back to c ordering + for i, entry in enumerate(["result1", "result2", "result3"]): + # Treat as fortran array + #argDict[entry].shape = (argDict[entry].shape[1], argDict[entry].shape[0]) + #argDict[entry].strides = pyopencl.array._make_strides(argDict[entry].dtype.itemsize, argDict[entry].shape, "f") + ftoc_knl(cq, input=argDict[entry], output=result[i]) - exit() + return result else: result = super().call_loopy(program,**kwargs) @@ -95,8 +58,7 @@ def call_loopy(self, program, **kwargs): #@memoize_method def transform_loopy_program(self, program): - #print("TRANSFORMING LOOPY KERNEL") - if program.name == "diff": + if program.name == "opt_diff": filename = "/home/njchris2/Workspace/nick/loopy_dg_kernels/transform.hjson" deviceID = "NVIDIA Titan V" pn = 3 From 91fa0d6e499214a32960bd17044a331d79b30b11 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 11 Aug 2020 11:47:51 -0500 Subject: [PATCH 004/253] move ctof and ftoc kernel declarations out of function --- grudge/execution.py | 13 ------------- grudge/grudge_array_context.py | 6 +++--- 2 files changed, 3 insertions(+), 16 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index 0b9db0164..121c30dab 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -270,20 +270,7 @@ def map_elementwise_linear(self, op, field_expr): @memoize_in(self.array_context, (ExecutionMapper, "elwise_linear_knl")) def prg(): - # Maybe can change shape and stride to make this work - ''' - result = make_loopy_program( - """{[iel, idof, j]: - 0<=iel Date: Thu, 10 Sep 2020 16:20:36 -0500 Subject: [PATCH 005/253] just twiddle the metadata --- grudge/execution.py | 2 +- grudge/grudge_array_context.py | 33 +++++++++++++++++++-------------- 2 files changed, 20 insertions(+), 15 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index 121c30dab..87ba2e04c 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -551,7 +551,7 @@ def prg(nmatrices): n_elem = field[in_grp.index].shape[0] options = lp.Options(no_numpy=True, return_dict=True) print(field.entry_dtype) - program = dgk.gen_diff_knl_fortran(n_elem, n_in, n_out,options=options, fp_format=field.entry_dtype) + program = dgk.gen_diff_knl(n_elem, n_in, n_out,options=options, fp_format=field.entry_dtype) else: program = prg(noperators) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index 8b5665759..c4d524c2a 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -22,35 +22,37 @@ def call_loopy(self, program, **kwargs): # Create input array cq = vec.queue - shape = vec.shape dtp = vec.dtype + + # Esto no deberia hacerse aqui. _,(inArg,) = ctof_knl(cq, input=vec) # Treat as c array, can do this to use c-format diff function - #inArg.shape = (inArg.shape[1], inArg.shape[0]) - #inArg.strides = pyopencl.array._make_strides(vec.dtype.itemsize, inArg.shape, "c") - - argDict = { "result1": pyopencl.array.Array(cq, inArg.shape, dtp, order="f"), - "result2": pyopencl.array.Array(cq, inArg.shape, dtp, order="f"), - "result3": pyopencl.array.Array(cq, inArg.shape, dtp, order="f"), + # np.array(A, format="F").flatten() == np.array(A.T, format="C").flatten() + inArg.shape = (inArg.shape[1], inArg.shape[0]) + inArg.strides = pyopencl.array._make_strides(vec.dtype.itemsize, inArg.shape, "c") + outShape = inArg.shape #(inArg.shape[1], inArg.shape[0]) + + argDict = { "result1": pyopencl.array.Array(cq, outShape, dtp, order="c"), + "result2": pyopencl.array.Array(cq, outShape, dtp, order="c"), + "result3": pyopencl.array.Array(cq, outShape, dtp, order="c"), "vec": inArg, "mat1": diff_mat[0], "mat2": diff_mat[1], "mat3": diff_mat[2] } - + super().call_loopy(program, **argDict) result = kwargs["result"] - # Change order of result back to c ordering + # Treat as fortran style array again for i, entry in enumerate(["result1", "result2", "result3"]): - # Treat as fortran array - #argDict[entry].shape = (argDict[entry].shape[1], argDict[entry].shape[0]) - #argDict[entry].strides = pyopencl.array._make_strides(argDict[entry].dtype.itemsize, argDict[entry].shape, "f") + argDict[entry].shape = (argDict[entry].shape[1], argDict[entry].shape[0]) + argDict[entry].strides = pyopencl.array._make_strides(argDict[entry].dtype.itemsize, argDict[entry].shape, "f") + # This should be unnecessary + # Il est necessaire pour le moment a cause du "ctof" d'ici. ftoc_knl(cq, input=argDict[entry], output=result[i]) - return result - else: result = super().call_loopy(program,**kwargs) @@ -59,9 +61,12 @@ def call_loopy(self, program, **kwargs): #@memoize_method def transform_loopy_program(self, program): if program.name == "opt_diff": + # TODO: Dynamically determine device id, don't hardcode path to transform.hjson. + # Also get pn from program filename = "/home/njchris2/Workspace/nick/loopy_dg_kernels/transform.hjson" deviceID = "NVIDIA Titan V" pn = 3 + transformations = dgk.loadTransformationsFromFile(filename, deviceID, pn) program = dgk.applyTransformationList(program, transformations) else: From c99cd730401215c939e53dae82765c342ed0e294 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Fri, 11 Sep 2020 16:58:41 -0500 Subject: [PATCH 006/253] push latest --- grudge/grudge_array_context.py | 32 +++++++------------------------- 1 file changed, 7 insertions(+), 25 deletions(-) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index c4d524c2a..f19bd3691 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -3,7 +3,7 @@ import pyopencl import pyopencl.array import loopy_dg_kernels as dgk -#import numpy as np +import numpy as np ctof_knl = lp.make_copy_kernel("f,f", old_dim_tags="c,c") ftoc_knl = lp.make_copy_kernel("c,c", old_dim_tags="f,f") @@ -13,6 +13,12 @@ class GrudgeArrayContext(PyOpenCLArrayContext): def __init__(self, queue, allocator=None): super().__init__(queue, allocator=allocator) + def from_numpy(self, np_array: np.ndarray): + # Should intercept this for the dof array + # and make it return a fortran style array + return super().from_numpy(np_array) + + def call_loopy(self, program, **kwargs): if program.name == "opt_diff": @@ -72,28 +78,4 @@ def transform_loopy_program(self, program): else: program = super().transform_loopy_program(program) - ''' - # Broken currently - ctof_knl = lp.make_copy_kernel("f,f", old_dim_tags="c,c") - #ctof_knl = lp.rename_argument(ctof_knl, "input", "input_ctof") - ctof_knl = lp.rename_argument(ctof_knl, "output", "vec") - ctof_knl = lp.rename_iname(ctof_knl, "i0", "i0_ctof") - ctof_knl = lp.rename_iname(ctof_knl, "i1", "i1_ctof") - - ftoc_knl = lp.make_copy_kernel("c,c", old_dim_tags="f,f") - ftoc_knl = lp.rename_argument(ftoc_knl, "input", "result") - ftoc_knl = lp.rename_argument(ftoc_knl, "n0", "nelements", existing_ok=True) - ftoc_knl = lp.rename_argument(ftoc_knl, "n1", "ndiscr_nodes", existing_ok=True) - #ftoc_knl = lp.rename_argument(ftoc_knl, "output", "output_ftoc") - ftoc_knl = lp.rename_iname(ftoc_knl, "i0", "i0_ftoc") - ftoc_knl = lp.rename_iname(ftoc_knl, "i1", "i1_ftoc") - - #dependencies = [("vec", ctof_knl, program), ("result", program, ctof_knl)] - dependencies = [("vec", ctof_knl, program)] - program = lp.fuse_kernels([ctof_knl, program], data_flow=dependencies) - #program = lp.fuse_kernels([ctof_knl, program, ftoc_knl], data_flow=dependencies) - ''' - - #print(program) - return program From 231408b11e24839ee6ec537840678c20ffd3870b Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 14 Sep 2020 14:27:04 -0500 Subject: [PATCH 007/253] add caching on batched operator --- grudge/execution.py | 31 +++++++++++++++++-------------- grudge/grudge_array_context.py | 13 ++++++++++--- 2 files changed, 27 insertions(+), 17 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index 87ba2e04c..4acd66e6e 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -279,8 +279,6 @@ def prg(): "result[iel, idof] = sum(j, mat[idof, j] * vec[iel, j])", name="elwise_linear") - #result = lp.tag_array_axes(result, "result", "f,f") - #result = lp.tag_array_axes(result, "vec", "f,f") result = lp.tag_array_axes(result, "mat", "stride:auto,stride:auto") return result @@ -493,6 +491,7 @@ def map_insn_assign_from_discr_scoped(self, insn, profile_data=None): self.discrwb._discr_scoped_subexpr_name_to_value[insn.name])], [] def map_insn_diff_batch_assign(self, insn, profile_data=None): + # Whence comes the field? field = self.rec(insn.field) repr_op = insn.operators[0] # FIXME: There's no real reason why differentiation is special, @@ -536,21 +535,25 @@ def prg(nmatrices): if in_grp.nelements == 0: continue - matrices = repr_op.matrices(out_grp, in_grp) - - # FIXME: Should transfer matrices to device and cache them - matrices_ary = np.empty(( - noperators, out_grp.nunit_dofs, in_grp.nunit_dofs)) - for i, op in enumerate(insn.operators): - matrices_ary[i] = matrices[op.rst_axis] - matrices_ary_dev = self.array_context.from_numpy(matrices_ary) - - # Breaks on complex data types - if noperators == 3 and field.entry_dtype == np.float64: + # Cache operator + cache_key = "diff_batch", in_grp, out_grp, repr_op, field.dtype + try: + matrices_ary_dev = self.bound_op.operator_data_cache[cache_key] + except KeyError: + matrices = repr_op.matrices(out_grp, in_grp) + matrices_ary = np.empty(( + noperators, out_grp.nunit_dofs, in_grp.nunit_dofs)) + for i, op in enumerate(insn.operators): + matrices_ary[i] = matrices[op.rst_axis] + matrices_ary_dev = self.array_context.from_numpy(matrices_ary) + self.bound_op.operator_data_cache[cache_key] = matrices_ary_dev + + # Breaks on complex data types without check + if noperators == 3 and field.entry_dtype == np.float64 or field.entry_dtype == np.float32: n_out, n_in = matrices_ary_dev[0].shape n_elem = field[in_grp.index].shape[0] options = lp.Options(no_numpy=True, return_dict=True) - print(field.entry_dtype) + #print(field.entry_dtype) program = dgk.gen_diff_knl(n_elem, n_in, n_out,options=options, fp_format=field.entry_dtype) else: program = prg(noperators) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index f19bd3691..8f6c5ff49 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -8,6 +8,7 @@ ctof_knl = lp.make_copy_kernel("f,f", old_dim_tags="c,c") ftoc_knl = lp.make_copy_kernel("c,c", old_dim_tags="f,f") +# Really this is more of an Nvidia array context probably class GrudgeArrayContext(PyOpenCLArrayContext): def __init__(self, queue, allocator=None): @@ -15,9 +16,15 @@ def __init__(self, queue, allocator=None): def from_numpy(self, np_array: np.ndarray): # Should intercept this for the dof array - # and make it return a fortran style array - return super().from_numpy(np_array) - + # and make it return a fortran style array + # Creation of the field seems to not pass + # through here though. + cl_array_c = super().from_numpy(np_array) + #print(cl_array_c.shape) + return cl_array_c + #cq = cl_arry.queue # Is this necessary? + #_,(cl_array_f,) = ctof_knl(cq, input=cl_array_c) + #return cl_array_f def call_loopy(self, program, **kwargs): From e87d7728f954404c8a92c81445e4d72e39e383d1 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 14 Sep 2020 16:08:33 -0500 Subject: [PATCH 008/253] override thaw, broken still --- grudge/execution.py | 6 ++++-- grudge/grudge_array_context.py | 14 ++++++++++++++ 2 files changed, 18 insertions(+), 2 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index 4acd66e6e..e711d00ef 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -492,7 +492,10 @@ def map_insn_assign_from_discr_scoped(self, insn, profile_data=None): def map_insn_diff_batch_assign(self, insn, profile_data=None): # Whence comes the field? - field = self.rec(insn.field) + ifield = insn.field + #import pdb + #pdb.set_trace() + field = self.rec(ifield) repr_op = insn.operators[0] # FIXME: There's no real reason why differentiation is special, # execution-wise. @@ -521,7 +524,6 @@ def prg(nmatrices): result = lp.tag_array_axes(result, "result", "sep,c,c") return result - noperators = len(insn.operators) in_discr = self.discrwb.discr_from_dd(repr_op.dd_in) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index 8f6c5ff49..c64572bf9 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -14,6 +14,7 @@ class GrudgeArrayContext(PyOpenCLArrayContext): def __init__(self, queue, allocator=None): super().__init__(queue, allocator=allocator) + ''' def from_numpy(self, np_array: np.ndarray): # Should intercept this for the dof array # and make it return a fortran style array @@ -25,6 +26,7 @@ def from_numpy(self, np_array: np.ndarray): #cq = cl_arry.queue # Is this necessary? #_,(cl_array_f,) = ctof_knl(cq, input=cl_array_c) #return cl_array_f + ''' def call_loopy(self, program, **kwargs): @@ -70,6 +72,18 @@ def call_loopy(self, program, **kwargs): result = super().call_loopy(program,**kwargs) return result + + # May need to define this and have it return dof array in Fortran format? + # Side note: the meaning of thawed and frozen seem counterintuitive to me. + def thaw(self, array): + thawed = super().thaw(array) + # This will only work on the maxwell case + if False:#thawed.shape == (384, 35): + print("THAWING THE DOF ARRAY") + cq = thawed.queue + _, (out,) = ctof_knl(cq, input=thawed) + thawed = out + return thawed #@memoize_method def transform_loopy_program(self, program): From 8336829d2add278cf90020b1ec1e19554acc6800 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Fri, 25 Sep 2020 02:04:36 -0500 Subject: [PATCH 009/253] push current --- grudge/grudge_array_context.py | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index c64572bf9..2edac9cbc 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -30,6 +30,7 @@ def from_numpy(self, np_array: np.ndarray): def call_loopy(self, program, **kwargs): + print("Program: " + program.name) if program.name == "opt_diff": diff_mat = kwargs["diff_mat"] result = kwargs["result"] @@ -40,7 +41,7 @@ def call_loopy(self, program, **kwargs): dtp = vec.dtype # Esto no deberia hacerse aqui. - _,(inArg,) = ctof_knl(cq, input=vec) + #_,(inArg,) = ctof_knl(cq, input=vec) # Treat as c array, can do this to use c-format diff function # np.array(A, format="F").flatten() == np.array(A.T, format="C").flatten() @@ -66,7 +67,7 @@ def call_loopy(self, program, **kwargs): argDict[entry].strides = pyopencl.array._make_strides(argDict[entry].dtype.itemsize, argDict[entry].shape, "f") # This should be unnecessary # Il est necessaire pour le moment a cause du "ctof" d'ici. - ftoc_knl(cq, input=argDict[entry], output=result[i]) + #ftoc_knl(cq, input=argDict[entry], output=result[i]) else: result = super().call_loopy(program,**kwargs) @@ -78,7 +79,7 @@ def call_loopy(self, program, **kwargs): def thaw(self, array): thawed = super().thaw(array) # This will only work on the maxwell case - if False:#thawed.shape == (384, 35): + if thawed.shape == (384, 35): print("THAWING THE DOF ARRAY") cq = thawed.queue _, (out,) = ctof_knl(cq, input=thawed) @@ -96,6 +97,16 @@ def transform_loopy_program(self, program): transformations = dgk.loadTransformationsFromFile(filename, deviceID, pn) program = dgk.applyTransformationList(program, transformations) + elif program.name in ("grudge_assign_0"): + names = [] + for arg in program.args: + if type(arg) == lp.ArrayArg: + names.append(arg.name) + if len(names) > 0: + program = lp.tag_array_axes(program, names, "f,f") + elif program.name == "flatten": + program = lp.tag_array_axes(program, "grp_ary", "f,f") + else: program = super().transform_loopy_program(program) From 4cfa967fe69823d4f3dc46e240e6944766293b7d Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Fri, 2 Oct 2020 14:52:48 -0500 Subject: [PATCH 010/253] placate flake8 --- grudge/execution.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/grudge/execution.py b/grudge/execution.py index 546ef1659..77925dc85 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -533,7 +533,8 @@ def prg(nmatrices): except KeyError: matrices = repr_op.matrices(out_grp, in_grp) matrices_ary = np.empty(( - noperators, out_grp.nunit_dofs, in_grp.nunit_dofs), dtype=field.entry_dtype) + noperators, out_grp.nunit_dofs, in_grp.nunit_dofs),\ + dtype=field.entry_dtype) for i, op in enumerate(insn.operators): matrices_ary[i] = matrices[op.rst_axis] matrices_ary_dev = self.array_context.from_numpy(matrices_ary) From bb0b6d6c76a19eff52103e8c9395b302215fce3f Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Sun, 25 Oct 2020 17:57:24 -0500 Subject: [PATCH 011/253] preliminary tagging, breaks on maxwell case --- grudge/execution.py | 24 +++++++++++- grudge/function_registry.py | 4 +- grudge/grudge_array_context.py | 72 +++++++++++++++++++++------------- grudge/symbolic/compiler.py | 10 ++++- 4 files changed, 78 insertions(+), 32 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index e711d00ef..7c478aa04 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -45,7 +45,7 @@ import logging logger = logging.getLogger(__name__) -from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_1 # noqa: F401 +#from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_1 # noqa: F401 MPI_TAG_SEND_TAGS = 1729 @@ -277,6 +277,11 @@ def prg(): 0<=idof 0: - program = lp.tag_array_axes(program, names, "f,f") - elif program.name == "flatten": - program = lp.tag_array_axes(program, "grp_ary", "f,f") - else: program = super().transform_loopy_program(program) diff --git a/grudge/symbolic/compiler.py b/grudge/symbolic/compiler.py index 9ff67b5c7..906a49d57 100644 --- a/grudge/symbolic/compiler.py +++ b/grudge/symbolic/compiler.py @@ -37,7 +37,7 @@ from pymbolic.primitives import Variable, Subscript from six.moves import intern -from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_1 # noqa: F401 +#from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_1 # noqa: F401 # {{{ instructions @@ -1030,6 +1030,11 @@ def map_insn_assign(self, insn): if not expr_mapper.non_scalar_vars: return insn + kdata = [] + #for name in insn.names: + # Make all global args + # Global + knl = lp.make_kernel( "{[%(iel)s, %(idof)s]: " "0 <= %(iel)s < nelements and 0 <= %(idof)s < nunit_dofs}" @@ -1046,6 +1051,9 @@ def map_insn_assign(self, insn): no_numpy=True, ) ) + for arg in knl.args: + if type(arg) == lp.ArrayArg: + arg.tags = "dof_array" self.insn_count += 1 From 521079987e80bf5729202bd3eb9c8613fc48c4a1 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 10 Nov 2020 02:40:18 -0600 Subject: [PATCH 012/253] use Tag rather than string --- grudge/execution.py | 21 ++++++++++++++------- grudge/grudge_array_context.py | 16 ++++++++++------ grudge/symbolic/compiler.py | 4 ++-- 3 files changed, 26 insertions(+), 15 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index bc4506a3e..115281670 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -26,12 +26,13 @@ from pytools import memoize_in from pytools.obj_array import make_obj_array +from pytools.tag import Tag import loopy as lp import pyopencl as cl import pyopencl.array # noqa -from meshmode.dof_array import DOFArray, thaw, flatten, unflatten +from meshmode.dof_array import DOFArray, thaw, flatten, unflatten, DOFTag from meshmode.array_context import ArrayContext, make_loopy_program import grudge.symbolic.mappers as mappers @@ -52,6 +53,12 @@ # {{{ exec mapper +class VecDOFTag(Tag): + pass + +class FaceDOFTag(Tag): + pass + class ExecutionMapper(mappers.Evaluator, mappers.BoundOpMapperMixin, mappers.LocalOpReducerMixin): @@ -274,8 +281,8 @@ def prg(): 0<=j Date: Tue, 10 Nov 2020 03:00:04 -0600 Subject: [PATCH 013/253] remove unneeded print statements --- grudge/function_registry.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/grudge/function_registry.py b/grudge/function_registry.py index f4963723b..712b9faba 100644 --- a/grudge/function_registry.py +++ b/grudge/function_registry.py @@ -100,8 +100,6 @@ def __call__(self, array_context, *args): func_name = "abs" sfunc = getattr(array_context.np, func_name) - #print("ICH BIN HIER") - #print(sfunc.domains) return sfunc(*args) From 1917e61884bd5642c2b2ff6033e18d7c54a8e38a Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 10 Nov 2020 03:36:17 -0600 Subject: [PATCH 014/253] remove unused bit of code --- grudge/symbolic/compiler.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/grudge/symbolic/compiler.py b/grudge/symbolic/compiler.py index 0be974e07..e1631355e 100644 --- a/grudge/symbolic/compiler.py +++ b/grudge/symbolic/compiler.py @@ -1021,11 +1021,6 @@ def map_insn_assign(self, insn): if not expr_mapper.non_scalar_vars: return insn - kdata = [] - #for name in insn.names: - # Make all global args - # Global - knl = lp.make_kernel( "{[%(iel)s, %(idof)s]: " "0 <= %(iel)s < nelements and 0 <= %(idof)s < nunit_dofs}" From 568e7b66c72548f65b4fdf63fb639509fba31265 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 16 Nov 2020 01:51:05 -0600 Subject: [PATCH 015/253] remove unused code --- grudge/execution.py | 9 ++--- grudge/grudge_array_context.py | 66 ++-------------------------------- 2 files changed, 7 insertions(+), 68 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index 115281670..c14e15f27 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -297,7 +297,7 @@ def prg(): for in_grp, out_grp in zip(in_discr.groups, out_discr.groups): - cache_key = "elwise_linear", in_grp, out_grp, op, field.dtype + cache_key = "elwise_linear", in_grp, out_grp, op, field.entry_dtype try: matrix = self.bound_op.operator_data_cache[cache_key] except KeyError: @@ -368,7 +368,7 @@ def prg(): assert len(all_faces_discr.groups) == len(vol_discr.groups) for afgrp, volgrp in zip(all_faces_discr.groups, vol_discr.groups): - cache_key = "face_mass", afgrp, op, field.dtype + cache_key = "face_mass", afgrp, op, field.entry_dtype nfaces = volgrp.mesh_el_group.nfaces @@ -519,7 +519,7 @@ def map_insn_diff_batch_assign(self, insn, profile_data=None): @memoize_in(self.array_context, (ExecutionMapper, "reference_derivative_prg")) - def prg(nmatrices): + def prg(n_mat): result = make_loopy_program( """{[imatrix, iel, idof, j]: 0<=imatrix Date: Mon, 16 Nov 2020 02:52:53 -0600 Subject: [PATCH 016/253] VecOpDOFTag --- grudge/execution.py | 5 ++++- grudge/grudge_array_context.py | 13 ++++++------- 2 files changed, 10 insertions(+), 8 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index c14e15f27..a4c017bce 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -59,6 +59,9 @@ class VecDOFTag(Tag): class FaceDOFTag(Tag): pass +class VecOpDOFTag(Tag): + pass + class ExecutionMapper(mappers.Evaluator, mappers.BoundOpMapperMixin, mappers.LocalOpReducerMixin): @@ -533,7 +536,7 @@ def prg(n_mat): kernel_data=[ lp.GlobalArg("result", None, shape=lp.auto, tags=VecDOFTag()), lp.GlobalArg("vec", None, shape=lp.auto, tags=DOFTag()), - lp.GlobalArg("diff_mat", None, shape=lp.auto), + lp.GlobalArg("diff_mat", None, shape=lp.auto, tags=VecOpDOFTag()), ... ], name="diff") diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index 9a44d731b..e53d947a7 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -1,6 +1,6 @@ from meshmode.array_context import PyOpenCLArrayContext, make_loopy_program from meshmode.dof_array import DOFTag -from grudge.execution import VecDOFTag, FaceDOFTag +from grudge.execution import VecDOFTag, VecOpDOFTag, FaceDOFTag import loopy as lp import pyopencl import pyopencl.array as cla @@ -12,9 +12,6 @@ class GrudgeArrayContext(PyOpenCLArrayContext): - #def __init__(self, queue, allocator=None): - # super().__init__(queue, allocator=allocator) - def empty(self, shape, dtype): return cla.empty(self.queue, shape=shape, dtype=dtype, allocator=self.allocator, order='F') @@ -45,11 +42,13 @@ def thaw(self, array): def transform_loopy_program(self, program): for arg in program.args: - if type(arg.tags) == DOFTag: + if isinstance(arg.tags, DOFTag): program = lp.tag_array_axes(program, arg.name, "f,f") - elif type(arg.tags) == VecDOFTag: + elif isinstance(arg.tags, VecDOFTag): program = lp.tag_array_axes(program, arg.name, "sep,f,f") - elif type(arg.tags) == FaceDOFTag: + #elif isinstance(arg.tags, VecOpDOFTag): + # program = lp.tag_array_axes(program, arg.name, "sep,c,c") + elif isinstance(arg.tags, FaceDOFTag): program = lp.tag_array_axes(program, arg.name, "N1,N0,N2") if program.name == "opt_diff": From ff81a918764e97431cd9140089b35062d9aff442 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 17 Nov 2020 14:18:51 -0600 Subject: [PATCH 017/253] allow different fp_formats and pn --- grudge/grudge_array_context.py | 27 +++++++++++++++++++++++++-- 1 file changed, 25 insertions(+), 2 deletions(-) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index e53d947a7..b1468aa18 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -44,6 +44,7 @@ def transform_loopy_program(self, program): for arg in program.args: if isinstance(arg.tags, DOFTag): program = lp.tag_array_axes(program, arg.name, "f,f") + elif isinstance(arg.tags, VecDOFTag): program = lp.tag_array_axes(program, arg.name, "sep,f,f") #elif isinstance(arg.tags, VecOpDOFTag): @@ -56,9 +57,31 @@ def transform_loopy_program(self, program): # Also get pn from program filename = "/home/njchris2/Workspace/nick/loopy_dg_kernels/transform.hjson" deviceID = "NVIDIA Titan V" - pn = 4 - transformations = dgk.loadTransformationsFromFile(filename, deviceID, pn) + pn = -1 + fp_format = None + dofs_to_order = {10: 2, 20: 3, 35: 4, 56: 5, 84: 6, 120: 7} + # Is this a list or a dictionary? + for arg in program.args: + if arg.name=="diff_mat": + pn = dofs_to_order[arg.shape[2]] + fp_format = arg.dtype.numpy_dtype + break; + + #print(pn) + #print(fp_format) + #print(pn<=0) + #exit() + #print(type(fp_format) == None) + #print(type(None) == None) + # FP format is very specific. Could have integer arrays? + # What about mixed data types? + #if pn <= 0 or not isinstance(fp_format, : + #print("Need to specify a polynomial order and data type") + # Should throw an error + #exit() + + transformations = dgk.loadTransformationsFromFile(filename, deviceID, pn, fp_format=fp_format) program = dgk.applyTransformationList(program, transformations) else: program = super().transform_loopy_program(program) From c29d1ae8f70f5a863fadda33a31a2b31c9ff2ae9 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 15 Dec 2020 13:24:06 -0600 Subject: [PATCH 018/253] move transformation files into grudge --- ci-support.sh | 430 +++++++++++++++++++ examples/maxwell/cavities.py | 2 +- grudge/grudge_array_context.py | 12 +- grudge/loopy_dg_kernels/__init__.py | 324 ++++++++++++++ grudge/loopy_dg_kernels/roofline_plotting.py | 53 +++ grudge/loopy_dg_kernels/run_tests.py | 416 ++++++++++++++++++ grudge/loopy_dg_kernels/transform.hjson | 173 ++++++++ prepare-and-run-flake8.sh | 9 + requirements.txt | 6 +- setup.py | 6 +- 10 files changed, 1423 insertions(+), 8 deletions(-) create mode 100644 ci-support.sh create mode 100644 grudge/loopy_dg_kernels/__init__.py create mode 100644 grudge/loopy_dg_kernels/roofline_plotting.py create mode 100644 grudge/loopy_dg_kernels/run_tests.py create mode 100644 grudge/loopy_dg_kernels/transform.hjson create mode 100755 prepare-and-run-flake8.sh diff --git a/ci-support.sh b/ci-support.sh new file mode 100644 index 000000000..a64cf68c2 --- /dev/null +++ b/ci-support.sh @@ -0,0 +1,430 @@ +#! /bin/bash +# ^^ (not a script: only here for shellcheck's benefit) + +set -e +set -o pipefail + +ci_support="https://gitlab.tiker.net/inducer/ci-support/raw/master" + +if [ "$PY_EXE" == "" ]; then + if [ "$py_version" == "" ]; then + PY_EXE=python3 + else + PY_EXE=python${py_version} + fi +fi + + +if [ "$(uname)" = "Darwin" ]; then + PLATFORM=MacOSX +else + PLATFORM=Linux +fi + +if test "$CI_SERVER_NAME" = "GitLab" && test -d ~/.local/lib; then + echo "ERROR: $HOME/.local/lib exists. It really shouldn't. Here's what it contains:" + find ~/.local/lib + exit 1 +fi + + +# {{{ utilities + +function with_echo() +{ + echo "+++" "$@" + "$@" +} + +function get_proj_name() +{ + if [ -n "$CI_PROJECT_NAME" ]; then + echo "$CI_PROJECT_NAME" + else + basename "$GITHUB_REPOSITORY" + fi +} + +print_status_message() +{ + echo "-----------------------------------------------" + echo "Current directory: $(pwd)" + echo "Python executable: ${PY_EXE}" + echo "PYOPENCL_TEST: ${PYOPENCL_TEST}" + echo "PYTEST_ADDOPTS: ${PYTEST_ADDOPTS}" + echo "PROJECT_INSTALL_FLAGS: ${PROJECT_INSTALL_FLAGS}" + echo "git revision: $(git rev-parse --short HEAD)" + echo "git status:" + git status -s + echo "-----------------------------------------------" +} + + +create_and_set_up_virtualenv() +{ + ${PY_EXE} -m venv .env + . .env/bin/activate + + # https://github.com/pypa/pip/issues/5345#issuecomment-386443351 + export XDG_CACHE_HOME=$HOME/.cache/$CI_RUNNER_ID + + if [[ "${PY_EXE}" == pypy3* ]]; then + PY_EXE=pypy3-c + fi + + RESOLVED_PY_EXE=$(which ${PY_EXE}) + case "$RESOLVED_PY_EXE" in + $PWD/.env/*) ;; + *) + echo "Python executable $PY_EXE not in virtualenv" + exit 1 + ;; + esac + + + # https://github.com/pypa/pip/issues/8667 -AK, 2020-08-02 + $PY_EXE -m pip install --upgrade "pip<20.2" + $PY_EXE -m pip install setuptools +} + + +install_miniforge() +{ + MINIFORGE_VERSION=3 + MINIFORGE_INSTALL_DIR=.miniforge${MINIFORGE_VERSION} + + MINIFORGE_INSTALL_SH=Miniforge3-$PLATFORM-x86_64.sh + curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/$MINIFORGE_INSTALL_SH" + + rm -Rf "$MINIFORGE_INSTALL_DIR" + + bash "$MINIFORGE_INSTALL_SH" -b -p "$MINIFORGE_INSTALL_DIR" +} + + +handle_extra_install() +{ + if test "$EXTRA_INSTALL" != ""; then + for i in $EXTRA_INSTALL ; do + if [[ "$i" = *pybind11* ]] && [[ "${PY_EXE}" == pypy* ]]; then + # context: + # https://github.com/conda-forge/pyopencl-feedstock/pull/45 + # https://github.com/pybind/pybind11/pull/2146 + with_echo "$PY_EXE" -m pip install git+https://github.com/isuruf/pybind11@pypy3 + else + with_echo "$PY_EXE" -m pip install "$i" + fi + done + fi +} + + +pip_install_project() +{ + handle_extra_install + + if test "$REQUIREMENTS_TXT" == ""; then + REQUIREMENTS_TXT="requirements.txt" + fi + + if test -f "$REQUIREMENTS_TXT"; then + with_echo pip install -r "$REQUIREMENTS_TXT" + fi + + if test -f .conda-ci-build-configure.sh; then + with_echo source .conda-ci-build-configure.sh + fi + + if test -f .ci-build-configure.sh; then + with_echo source .ci-build-configure.sh + fi + + # Append --editable to PROJECT_INSTALL_FLAGS, if not there already. + # See: https://gitlab.tiker.net/inducer/ci-support/-/issues/3 + # Can be removed after https://github.com/pypa/pip/issues/2195 is resolved. + if [[ ! $PROJECT_INSTALL_FLAGS =~ (^|[[:space:]]*)(--editable|-e)[[:space:]]*$ ]]; then + PROJECT_INSTALL_FLAGS="$PROJECT_INSTALL_FLAGS --editable" + fi + + with_echo "$PY_EXE" -m pip install $PROJECT_INSTALL_FLAGS . +} + + +# }}} + + +# {{{ cleanup + +clean_up_repo_and_working_env() +{ + rm -Rf .env + rm -Rf build + find . -name '*.pyc' -delete + + rm -Rf env + git clean -fdx \ + -e siteconf.py \ + -e boost-numeric-bindings \ + -e '.pylintrc.yml' \ + -e 'prepare-and-run-*.sh' \ + -e 'ci-support.sh' \ + -e 'run-*.py' \ + -e '.test-*.yml' \ + $GIT_CLEAN_EXCLUDE + + + if test `find "siteconf.py" -mmin +1`; then + echo "siteconf.py older than a minute, assumed stale, deleted" + rm -f siteconf.py + fi + + if [[ "$NO_SUBMODULES" = "" ]]; then + git submodule update --init --recursive + fi +} + +# }}} + + +# {{{ virtualenv build + +build_py_project_in_venv() +{ + print_status_message + clean_up_repo_and_working_env + create_and_set_up_virtualenv + + pip_install_project +} + +# }}} + + +# {{{ miniconda build + +build_py_project_in_conda_env() +{ + print_status_message + clean_up_repo_and_working_env + install_miniforge + + PATH="$MINIFORGE_INSTALL_DIR/bin/:$PATH" with_echo conda update conda --yes --quiet + + PATH="$MINIFORGE_INSTALL_DIR/bin/:$PATH" with_echo conda update --all --yes --quiet + + PATH="$MINIFORGE_INSTALL_DIR/bin:$PATH" with_echo conda env create --file "$CONDA_ENVIRONMENT" --name testing + + source "$MINIFORGE_INSTALL_DIR/bin/activate" testing + + # https://github.com/conda-forge/ocl-icd-feedstock/issues/11#issuecomment-456270634 + rm -f $MINIFORGE_INSTALL_DIR/envs/testing/etc/OpenCL/vendors/system-*.icd + # https://gitlab.tiker.net/inducer/pytential/issues/112 + rm -f $MINIFORGE_INSTALL_DIR/envs/testing/etc/OpenCL/vendors/apple.icd + + # https://github.com/pypa/pip/issues/5345#issuecomment-386443351 + export XDG_CACHE_HOME=$HOME/.cache/$CI_RUNNER_ID + + # https://github.com/pypa/pip/issues/8667 -AK, 2020-08-02 + with_echo conda install --quiet --yes "pip<20.2" + with_echo conda list + + # Using pip instead of conda to install pytest (see test_py_project) avoids + # ridiculous uninstall chains like these: + # https://gitlab.tiker.net/inducer/pyopencl/-/jobs/61543 + + pip_install_project +} + +# }}} + + +# {{{ generic build + +build_py_project() +{ + if test "$USE_CONDA_BUILD" == "1"; then + build_py_project_in_conda_env + else + build_py_project_in_venv + fi +} + +# }}} + + +# {{{ test + +test_py_project() +{ + $PY_EXE -m pip install pytest + + # pytest-xdist fails on pypy with: ImportError: cannot import name '_psutil_linux' + # AK, 2020-08-20 + if [[ "${PY_EXE}" == pypy* ]]; then + CISUPPORT_PARALLEL_PYTEST=no + else + $PY_EXE -m pip install pytest-xdist + fi + + AK_PROJ_NAME="$(get_proj_name)" + + TESTABLES="" + if [ -d test ]; then + cd test + + if ! [ -f .not-actually-ci-tests ]; then + TESTABLES="$TESTABLES ." + fi + + if [ -z "$NO_DOCTESTS" ]; then + RST_FILES=(../doc/*.rst) + + for f in "${RST_FILES[@]}"; do + if [ -e "$f}" ]; then + if ! grep -q no-doctest "$f"; then + TESTABLES="$TESTABLES $f" + fi + fi + done + + # macOS bash is too old for mapfile: Oh well, no doctests on mac. + if [ "$(uname)" != "Darwin" ]; then + mapfile -t DOCTEST_MODULES < <( git grep -l doctest -- ":(glob,top)$AK_PROJ_NAME/**/*.py" ) + TESTABLES="$TESTABLES ${DOCTEST_MODULES[*]}" + fi + fi + + if [[ -n "$TESTABLES" ]]; then + # Core dumps? Sure, take them. + ulimit -c unlimited + + # 10 GiB should be enough for just about anyone :) + ulimit -m "$(python -c 'print(1024*1024*10)')" + + if [[ $CISUPPORT_PARALLEL_PYTEST == "" || $CISUPPORT_PARALLEL_PYTEST == "xdist" ]]; then + # Default: parallel if Not (Gitlab and GPU CI)? + PYTEST_PARALLEL_FLAGS="" + + # CI_RUNNER_DESCRIPTION is set by Gitlab + if [[ $CI_RUNNER_DESCRIPTION != *-gpu ]]; then + if [[ $CISUPPORT_PYTEST_NRUNNERS == "" ]]; then + PYTEST_PARALLEL_FLAGS="-n 4" + else + PYTEST_PARALLEL_FLAGS="-n $CISUPPORT_PYTEST_NRUNNERS" + fi + fi + + elif [[ $CISUPPORT_PARALLEL_PYTEST == "no" ]]; then + PYTEST_PARALLEL_FLAGS="" + else + echo "unrecognized scheme in CISUPPORT_PARALLEL_PYTEST" + fi + + # It... somehow... (?) seems to cause crashes for pytential. + # https://gitlab.tiker.net/inducer/pytential/-/issues/146 + if [[ $CISUPPORT_PYTEST_NO_DOCTEST_MODULES == "" ]]; then + DOCTEST_MODULES_FLAG="--doctest-modules" + else + DOCTEST_MODULES_FLAG="" + fi + + with_echo "${PY_EXE}" -m pytest \ + --durations=10 \ + --tb=native \ + --junitxml=pytest.xml \ + $DOCTEST_MODULES_FLAG \ + -rxsw \ + $PYTEST_FLAGS $PYTEST_PARALLEL_FLAGS $TESTABLES + fi + fi +} + +# }}} + + +# {{{ run examples + +run_examples() +{ + if ! test -d examples; then + echo "!!! No 'examples' directory found" + else + cd examples + for i in $(find . -name '*.py' -exec grep -q __main__ '{}' \; -print ); do + echo "-----------------------------------------------------------------------" + echo "RUNNING $i" + echo "-----------------------------------------------------------------------" + dn=$(dirname "$i") + bn=$(basename "$i") + (cd "$dn"; time ${PY_EXE} "$bn") + done + fi +} + +# }}} + + +# {{{ docs + +build_docs() +{ + # >=3.2.1 for https://github.com/sphinx-doc/sphinx/issues/8084 + with_echo $PY_EXE -m pip install "sphinx>=3.2.1" + + cd doc + + if test "$1" = "--no-check"; then + with_echo make html + else + with_echo make html SPHINXOPTS="-W --keep-going -n" + fi +} + +maybe_upload_docs() +{ + if test -n "${DOC_UPLOAD_KEY}" && test "$CI_COMMIT_REF_NAME" = "master"; then + cat > doc_upload_ssh_config < doc_upload_key + chmod 0600 doc_upload_key + RSYNC_RSH="ssh -F doc_upload_ssh_config" ./upload-docs.sh || { rm doc_upload_key; exit 1; } + rm doc_upload_key + else + echo "Not uploading docs. No DOC_UPLOAD_KEY or not on master on Gitlab." + fi +} + +# }}} + + +# {{{ flake8 + +install_and_run_flake8() +{ + FLAKE8_PACKAGES=(flake8 pep8-naming) + if grep -q quotes setup.cfg; then + true + FLAKE8_PACKAGES+=(flake8-quotes) + else + echo "-----------------------------------------------------------------" + echo "Consider enabling quote checking for this package by configuring" + echo "https://github.com/zheller/flake8-quotes" + echo "in setup.cfg. Follow this example:" + echo "https://github.com/illinois-ceesd/mirgecom/blob/45457596cac2eeb4a0e38bf6845fe4b7c323f6f5/setup.cfg#L5-L7" + echo "-----------------------------------------------------------------" + fi + + ${PY_EXE} -m pip install "${FLAKE8_PACKAGES[@]}" + ${PY_EXE} -m flake8 "$@" +} + +# }}} + +# vim: foldmethod=marker:sw=2 diff --git a/examples/maxwell/cavities.py b/examples/maxwell/cavities.py index f70a3b6d7..7de38a787 100644 --- a/examples/maxwell/cavities.py +++ b/examples/maxwell/cavities.py @@ -38,7 +38,7 @@ STEPS = 60 -def main(dims, write_output=True, order=4): +def main(dims, write_output=True, order=2): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) actx = GrudgeArrayContext(queue) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index b1468aa18..05ce45bd8 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -4,8 +4,13 @@ import loopy as lp import pyopencl import pyopencl.array as cla -import loopy_dg_kernels as dgk +import grudge.loopy_dg_kernels as dgk import numpy as np +try: + import importlib.resources as pkg_resources +except ImportError: + # Use backported version for python < 3.7 + import importlib_resources as pkg_resources ctof_knl = lp.make_copy_kernel("f,f", old_dim_tags="c,c") ftoc_knl = lp.make_copy_kernel("c,c", old_dim_tags="f,f") @@ -55,7 +60,8 @@ def transform_loopy_program(self, program): if program.name == "opt_diff": # TODO: Dynamically determine device id, don't hardcode path to transform.hjson. # Also get pn from program - filename = "/home/njchris2/Workspace/nick/loopy_dg_kernels/transform.hjson" + hjson_file = pkg_resources.open_text(dgk, "transform.hjson") + #filename = "/home/njchris2/Workspace/nick/loopy_dg_kernels/transform.hjson" deviceID = "NVIDIA Titan V" pn = -1 @@ -81,7 +87,7 @@ def transform_loopy_program(self, program): # Should throw an error #exit() - transformations = dgk.loadTransformationsFromFile(filename, deviceID, pn, fp_format=fp_format) + transformations = dgk.loadTransformationsFromFile(hjson_file, deviceID, pn, fp_format=fp_format) program = dgk.applyTransformationList(program, transformations) else: program = super().transform_loopy_program(program) diff --git a/grudge/loopy_dg_kernels/__init__.py b/grudge/loopy_dg_kernels/__init__.py new file mode 100644 index 000000000..d2c879857 --- /dev/null +++ b/grudge/loopy_dg_kernels/__init__.py @@ -0,0 +1,324 @@ +import numpy as np + +import pyopencl as cl +import pyopencl.array +import pyopencl.clrandom + +import loopy as lp +from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_2 +from loopy.kernel.data import AddressSpace + +import pycuda.gpuarray as cuarray +import pycuda.driver as drv +import pycuda.tools +import pycuda.autoinit +from pycuda.compiler import SourceModule +from pycuda.curandom import rand as curand + +from modepy import equidistant_nodes + +from bs4 import UnicodeDammit +import hjson +import time +from math import ceil +import sys + +# setup +# ----- +lp.set_caching_enabled(False) +import loopy.options +loopy.options.ALLOW_TERMINAL_COLORS = False + +# Se podría usar el de Grudge. +def gen_diff_knl_fortran2(n_mat, n_elem, n_in, n_out, fp_format=np.float32, options=None): + knl = lp.make_kernel( + """{[m,k,i,j]: + 0<=m 0 \ + and ndiscr_nodes_out > 0 \ + and ndiscr_nodes_in > 0", + default_offset=None, + name="diff" + ) + + knl = lp.fix_parameters(knl, nelements=n_elem, ndiscr_nodes_in=n_in, ndiscr_nodes_out=n_out) + + slabs0 = (0,0) if n_elem % k_inner_outer == 0 else (0,1) + knl = lp.split_iname(knl, "k", k_inner_outer, outer_tag="g.0", slabs=slabs0) + knl = lp.split_iname(knl, "k_inner", k_inner_inner, outer_tag="ilp", inner_tag="l.0") + knl = lp.split_iname(knl, "j", j_inner) + knl = lp.split_iname(knl, "i", i_inner_outer, outer_tag="g.1")#slabs=(0,1)) + knl = lp.split_iname(knl, "i_inner", i_inner_inner, outer_tag="ilp", inner_tag="l.1") + + #knl = lp.prioritize_loops(knl, "j_outer,j_inner,k_inner_outer") + + knl = lp.add_prefetch(knl, "vec", "j_outer,j_inner,k_inner_outer,k_inner_inner", temporary_name="vecf", default_tag="l.auto") + knl = lp.add_prefetch(knl, "mat1", "j_inner", temporary_name="mat1fp", default_tag="unr") + knl = lp.add_prefetch(knl, "mat2", "j_inner", temporary_name="mat2fp", default_tag="unr") + knl = lp.add_prefetch(knl, "mat3", "j_inner", temporary_name="mat3fp", default_tag="unr") + + return knl +''' + +def loadTransformationsFromFile(hjson_file, device_id, pn, fp_format=np.float32): + hjson_text = hjson_file.read() + od = hjson.loads(hjson_text) + transformID = od["devices"][device_id] + fp_string = "FP64" if fp_format == np.float64 else "FP32" + hjson_file.close() + transformations = od["transformations"][transformID][fp_string][str(pn)] + return transformations + +def generateTransformationListOld(k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner): + transformations = [] + # transformation name, list of args, dict of keyward args + transformations.append(("split_iname", ["k", k_inner_outer], {"outer_tag": "g.0", "slabs": (0,1)})) + transformations.append(("split_iname", ["k_inner", k_inner_inner], {"outer_tag": "ilp", "inner_tag": "l.0"})) + transformations.append(("split_iname", ["j", j_inner])) + transformations.append(("split_iname", ["i", i_inner_outer], {"outer_tag": "g.1"})) + transformations.append(("split_iname", ["i_inner", i_inner_inner], {"outer_tag": "ilp", "inner_tag": "l.1"})) + transformations.append(("add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], \ + {"temporary_name": "vecf", "default_tag": "l.auto"})) + transformations.append(("add_prefetch", ["mat1", "j_inner"], {"temporary_name": "mat1fp", "default_tag": "unr"})) + transformations.append(("add_prefetch", ["mat2", "j_inner"], {"temporary_name": "mat2fp", "default_tag": "unr"})) + transformations.append(("add_prefetch", ["mat3", "j_inner"], {"temporary_name": "mat3fp", "default_tag": "unr"})) + return transformations + +def generateTransformationList(k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner): + transformations = [] + # transformation name, list of args, dict of keyward args + transformations.append(("tag_array_axes", ["diff_mat", "sep,c,c"])) + transformations.append(("tag_array_axes", ["result", "sep,f,f"])) + transformations.append(("tag_inames", [[("m", "ilp")]])) + transformations.append(("split_iname", ["k", k_inner_outer], {"outer_tag": "g.0", "slabs": (0,0)})) + transformations.append(("split_iname", ["k_inner", k_inner_inner], {"outer_tag": "ilp", "inner_tag": "l.0"})) + transformations.append(("split_iname", ["j", j_inner])) + transformations.append(("split_iname", ["i", i_inner_outer], {"outer_tag": "g.1"})) + transformations.append(("split_iname", ["i_inner", i_inner_inner], {"outer_tag": "ilp", "inner_tag": "l.1"})) + transformations.append(("add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], \ + {"temporary_name": "vecf", "default_tag": "l.auto"})) + transformations.append(("add_prefetch", ["diff_mat", "j_inner"], {"temporary_name": "matfp", "default_tag": "unr"})) + return transformations + + +def applyTransformationList(knl, transformations): + functionMapping = { "split_iname": lp.split_iname, + "add_prefetch": lp.add_prefetch, + "prioritize_loops": lp.prioritize_loops, + "rename_iname": lp.rename_iname, + "tag_array_axes": lp.tag_array_axes, + "tag_inames": lp.tag_inames } + + # Maybe add some logic to add slabs=(0,0) if n_elem % k_inner_outer == 0 + # Maybe can do this based on tranformation name, loop variable, and loop variable bounds + for t in transformations: + func = functionMapping[t[0]] + args = [knl] + t[1] + kwargs = t[2] if len(t) > 2 else {} + #print(t) + knl = func(*args, **kwargs) + + return knl + +#knl = gen_diff_knl_fortran2(3, 128, 10, 10) +#trans = generateTransformationList(64, 32, 10, 10, 10) +#knl = applyTransformationList(knl, trans) +#code = lp.generate_code_v2(knl).device_code() +#print(code) diff --git a/grudge/loopy_dg_kernels/roofline_plotting.py b/grudge/loopy_dg_kernels/roofline_plotting.py new file mode 100644 index 000000000..886532ef8 --- /dev/null +++ b/grudge/loopy_dg_kernels/roofline_plotting.py @@ -0,0 +1,53 @@ +import matplotlib.pyplot as plt +import numpy as np + +max_flops_unboosted = 12288 #GFLOP/s +max_flops_boosted = 13444.5 #Empirical roofline toolkit + +max_g_bandwidth_warburton = 540 #GB/s +max_g_bandwidth_ert = 561.4 +max_l1_bandwidth = 2610.5 + +flops_per_byte_accessed = np.arange(0, 101) +max_flops_unboosted_array = max_flops_unboosted * np.ones_like(flops_per_byte_accessed) + +max_flops_g_unboosted_data = np.minimum(flops_per_byte_accessed*max_g_bandwidth_warburton, max_flops_unboosted_array) +max_flops_l1_unboosted_data = np.minimum(flops_per_byte_accessed*max_l1_bandwidth, max_flops_unboosted_array) + +fig = plt.figure() +ax = fig.add_subplot(111) +ax.loglog(flops_per_byte_accessed, max_flops_g_unboosted_data, label='Device memory roofline') +ax.loglog(flops_per_byte_accessed, max_flops_l1_unboosted_data, label='L1 cache/Local memory roofline') + +theoretical_x_1 = 3*2*np.array([10,20,35,56,85,120]) / (4 + 12) # Assumes one read and three stores +theoretical_x_4 = 3*2*np.array([10,20,35,56,84,120]) / (4 + 12 + 12) # Assumes four reads and three stores +theoretical_x_7 = 3*2*np.array([10,20,35,56,84,120]) / (4 + 2*(12+12)) # Assumes seven reads and three stores +#theoretical_x = 2*np.arange(1,33) / (4 + 4) # Assumes one read and one stores +theoretical_y_1 = np.minimum(theoretical_x_1*max_g_bandwidth_warburton, max_flops_unboosted) +theoretical_y_4 = np.minimum(theoretical_x_4*max_g_bandwidth_warburton, max_flops_unboosted) +theoretical_y_7 = np.minimum(theoretical_x_7*max_g_bandwidth_warburton, max_flops_unboosted) +empirical_x = theoretical_x_4.copy() +#empirical_x[0:3] = theoretical_x_1[0:3] +empirical_y = [2026.9636053441898, 4049.8734098551745, 7085.0042493541905, 8143.440577930807, 9010.054141132498, 10126.59788574097] +print(theoretical_x_1) +print(theoretical_y_1) +print(theoretical_x_4) +print(theoretical_y_4) + +pn_labels = ['2', '3', '4', '5', '6', '7'] + +plt.title("Grudge elementwise differentiation kernel: FP32") +ax.loglog(theoretical_x_1, theoretical_y_1,'sy', label='4 device memory accesses model (3 writes, 1 read)', markersize=8) +ax.loglog(theoretical_x_4, theoretical_y_4,'ob', label='7 device memory accesses model, (3 writes, 4 reads)') +#plt.loglog(theoretical_x_7, theoretical_y_7,'oy', label='13 accesses model') +ax.loglog(theoretical_x_1, empirical_y, '.r', label='Experimental results assuming 4 accesses') +for i in range(6): + ax.annotate(pn_labels[i], xy = (theoretical_x_1[i], empirical_y[i])) +ax.loglog(theoretical_x_4, empirical_y, '.g', label='Experimental results assuming 7 accesses') +for i in range(6): + ax.annotate(pn_labels[i], xy = (theoretical_x_4[i], empirical_y[i])) +plt.ylabel("GFLOP/s") +plt.xlabel("Bytes per flop") +plt.legend() +#plt.yticks(theoretical_y) +plt.show() diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py new file mode 100644 index 000000000..2c6818e6b --- /dev/null +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -0,0 +1,416 @@ +import numpy as np + +import pyopencl as cl +import pyopencl.array +import pyopencl.clrandom + +import loopy as lp +from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_2 +from loopy.kernel.data import AddressSpace + +import pycuda.gpuarray as cuarray +import pycuda.driver as drv +import pycuda.tools +import pycuda.autoinit +from pycuda.compiler import SourceModule +from pycuda.curandom import rand as curand + +from modepy import equidistant_nodes + +from bs4 import UnicodeDammit +import hjson +import time +from math import ceil +import sys + +# setup +# ----- +lp.set_caching_enabled(False) +import loopy.options +loopy.options.ALLOW_TERMINAL_COLORS = False + +from loopy_dg_kernels import gen_diff_knl +from loopy_dg_kernels import generateTransformationList +from loopy_dg_kernels import applyTransformationList +def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner,\ + backend="CUDA", fp_format=np.float32,nruns=10): + + kern = gen_diff_knl(n_elem,n_in,n_out,k_inner_outer,k_inner_inner,i_inner_outer,i_inner_inner, j_inner) + kern = lp.set_options(kern, "no_numpy") + + CUDA = backend == "CUDA" + OPENCL = not CUDA + + if CUDA: + stream = drv.Stream() + (ygrid, xgrid), (yblk, xblk) = kern.get_grid_size_upper_bounds_as_exprs() + kern = kern.copy(target=lp.CudaTarget()) + #kern = lp.set_options(kern, edit_code=True) + code = lp.generate_code_v2(kern).device_code() + mod = SourceModule(code, keep=True) + diff_fn = mod.get_function("diff") + A_dev1 = curand((n_out, n_in), dtype=fp_format, stream=stream) + A_dev2 = curand((n_out, n_in), dtype=fp_format, stream=stream) + A_dev3 = curand((n_out, n_in), dtype=fp_format, stream=stream) + X_dev = curand((n_in, n_elem), dtype=fp_format, stream=stream) + B_dev1 = cuarray.GPUArray((n_out, n_elem), fp_format) + B_dev2 = cuarray.GPUArray((n_out, n_elem), fp_format) + B_dev3 = cuarray.GPUArray((n_out, n_elem), fp_format) + print(code) + elif OPENCL: + + platform = cl.get_platforms() + my_gpu_devices = platform[0].get_devices(device_type=cl.device_type.GPU) + ctx = cl.Context(devices=my_gpu_devices) + #ctx = cl.create_some_context(interactive=True) + queue = cl.CommandQueue(ctx) + + #kern = lp.set_options(kern, edit_code=False) #Only works for OpenCL? + kern = lp.set_options(kern, "write_code") #Outputs the code before editing it + kern = kern.copy(target=lp.PyOpenCLTarget(my_gpu_devices[0])) + #code = lp.generate_code_v2(kern).device_code() + ## Print the Code + #prog = cl.Program(ctx, code) + #prog = prog.build() + #ptx = prog.get_info(cl.program_info.BINARIES)[0]#.decode(errors='ignore') #Breaks pocl + #dammit = UnicodeDammit(ptx) + #print(dammit.unicode_markup) + + #kern = lp.set_options(kern, "write_cl") + #A_dev = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + #X_dev = cl.clrandom.rand(queue, (n_elem, n_in), dtype=fp_format) + #B_dev = cl.array.Array(queue, (n_elem, n_out), dtype=fp_format) + A_dev1 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + A_dev2 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + A_dev3 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + X_dev = cl.clrandom.rand(queue, (n_in, n_elem), dtype=fp_format) + B_dev1 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + B_dev2 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + B_dev3 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + # Code for running binaries + + #device = queue.get_info(cl.command_queue_info.DEVICE) + #with open("pocl_32x32.ptx","rb") as f: + #with open("ptx_binary_nvopencl","rb") as f: + #with open("ptx_binary", "rb") as f: + #with open("cuda_32x32.ptx", "rb") as f: + # binary = f.read() + #prg = cl.Program(ctx, [device], [binary]) + #prg = prg.build() + #diff_knl = prg.diff + + events = [] + for i in range(2): + if OPENCL: + #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) + #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32),None) + evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, mat3=A_dev3, vec=X_dev) + events.append(evt) + elif CUDA: + diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk,xblk,1), grid=(ygrid,xgrid)) + if OPENCL: + cl.wait_for_events(events) + elif CUDA: + pycuda.autoinit.context.synchronize() + + sum_time = 0.0 + events = [] + start = time.time() + for i in range(nruns): + if OPENCL: + #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) + #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32),None) + evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, mat3=A_dev3, vec=X_dev) + events.append(evt) + elif CUDA: + diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk,xblk,1), grid=(ygrid,xgrid)) + if OPENCL: + cl.wait_for_events(events) + elif CUDA: + pycuda.autoinit.context.synchronize() + + sum_time = time.time() - start + avg_time = sum_time / nruns + + return (B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev), avg_time + + + +def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner,\ + backend="CUDA", fp_format=np.float32,nruns=10): + + kern = gen_diff_knl(n_elem,n_in,n_out,fp_format=fp_format) + transformations = generateTransformationList(k_inner_outer,k_inner_inner,i_inner_outer,i_inner_inner, j_inner) + print(transformations) + kern = applyTransformationList(kern, transformations) + + kern = lp.set_options(kern, "no_numpy") + + CUDA = backend == "CUDA" + OPENCL = not CUDA + + if CUDA: + stream = drv.Stream() + (ygrid, xgrid), (yblk, xblk) = kern.get_grid_size_upper_bounds_as_exprs() + kern = kern.copy(target=lp.CudaTarget()) + #kern = lp.set_options(kern, edit_code=True) + code = lp.generate_code_v2(kern).device_code() + mod = SourceModule(code, keep=True) + diff_fn = mod.get_function("diff") + A_dev1 = curand((n_out, n_in), dtype=fp_format, stream=stream) + A_dev2 = curand((n_out, n_in), dtype=fp_format, stream=stream) + A_dev3 = curand((n_out, n_in), dtype=fp_format, stream=stream) + X_dev = curand((n_in, n_elem), dtype=fp_format, stream=stream) + B_dev1 = cuarray.GPUArray((n_out, n_elem), fp_format) + B_dev2 = cuarray.GPUArray((n_out, n_elem), fp_format) + B_dev3 = cuarray.GPUArray((n_out, n_elem), fp_format) + print(code) + elif OPENCL: + + platform = cl.get_platforms() + my_gpu_devices = platform[0].get_devices(device_type=cl.device_type.GPU) + ctx = cl.Context(devices=my_gpu_devices) + #ctx = cl.create_some_context(interactive=True) + queue = cl.CommandQueue(ctx) + + #kern = lp.set_options(kern, edit_code=False) #Only works for OpenCL? + kern = lp.set_options(kern, "write_code") #Outputs the code before editing it + kern = kern.copy(target=lp.PyOpenCLTarget(my_gpu_devices[0])) + #code = lp.generate_code_v2(kern).device_code() + ## Print the Code + #prog = cl.Program(ctx, code) + #prog = prog.build() + #ptx = prog.get_info(cl.program_info.BINARIES)[0]#.decode(errors='ignore') #Breaks pocl + #dammit = UnicodeDammit(ptx) + #print(dammit.unicode_markup) + + #kern = lp.set_options(kern, "write_cl") + #A_dev = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + #X_dev = cl.clrandom.rand(queue, (n_elem, n_in), dtype=fp_format) + #B_dev = cl.array.Array(queue, (n_elem, n_out), dtype=fp_format) + A_dev1 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + A_dev2 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + A_dev3 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + X_dev = cl.clrandom.rand(queue, (n_in, n_elem), dtype=fp_format) + B_dev1 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + B_dev2 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + B_dev3 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + # Code for running binaries + + #device = queue.get_info(cl.command_queue_info.DEVICE) + #with open("pocl_32x32.ptx","rb") as f: + #with open("ptx_binary_nvopencl","rb") as f: + #with open("ptx_binary", "rb") as f: + #with open("cuda_32x32.ptx", "rb") as f: + # binary = f.read() + #prg = cl.Program(ctx, [device], [binary]) + #prg = prg.build() + #diff_knl = prg.diff + + events = [] + for i in range(2): + if OPENCL: + #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) + #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32),None) + evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, mat3=A_dev3, vec=X_dev) + events.append(evt) + elif CUDA: + diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk,xblk,1), grid=(ygrid,xgrid)) + if OPENCL: + cl.wait_for_events(events) + elif CUDA: + pycuda.autoinit.context.synchronize() + + sum_time = 0.0 + events = [] + start = time.time() + for i in range(nruns): + if OPENCL: + #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) + #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32),None) + evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, mat3=A_dev3, vec=X_dev) + events.append(evt) + elif CUDA: + diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk,xblk,1), grid=(ygrid,xgrid)) + if OPENCL: + cl.wait_for_events(events) + elif CUDA: + pycuda.autoinit.context.synchronize() + + sum_time = time.time() - start + avg_time = sum_time / nruns + + return (B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev), avg_time + +def analyzeResult(n_out, n_in, n_elem, peak_gflops, device_memory_bandwidth, avg_time, fp_bytes=4): + + flops = 3*2*(n_out * n_in * n_elem) + gflop_rate = (flops / avg_time) * 1e-9 + #peak_gflop_rate = 12288 + #peak_gflop_rate = 368 # (8 flops / cycle) * 2.3 Hertz * 20 cores + frac_peak_gflops = gflop_rate / peak_gflops + print("GFLOP/s: " + str(gflop_rate)) + print("Peak GFLOP/s: " + str(peak_gflops)) + print("Percent peak: " + str(100*(frac_peak_gflops))) + print() + + # Calculate bandwidth + # Assumes each element only read once + ideal_total_bytes_transferred = fp_bytes*(3*(n_out * n_elem) + (n_in * n_elem) + 3*(n_out * n_in)) + GBps = (ideal_total_bytes_transferred / avg_time) / 1e9 + frac_peak_GBps = GBps / device_memory_bandwidth + print("GB/s: " + str(GBps)) + print("Peak GB/s: " + str(device_memory_bandwidth)) + print("Percent peak: " + str(100*(frac_peak_GBps))) + print() + return frac_peak_gflops, frac_peak_GBps + +def verifyResult(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev): + A_host1 = A_dev1.get() + A_host2 = A_dev2.get() + A_host3 = A_dev3.get() + X_host = X_dev.get() + B_host1 = B_dev1.get() + B_host2 = B_dev2.get() + B_host3 = B_dev3.get() + np.set_printoptions(threshold=sys.maxsize) + errMat = ((A_host1 @ X_host) - B_host1) / np.linalg.norm(A_host1 @ X_host) + print("Fraction Nonzero: "+ str(np.count_nonzero(errMat)/(n_out*n_elem))) + print("Norm1: " + str(np.linalg.norm((A_host1 @ X_host) - B_host1) / np.linalg.norm(A_host1 @ X_host) )) + print("Norm2: " + str(np.linalg.norm((A_host2 @ X_host) - B_host2) / np.linalg.norm(A_host2 @ X_host) )) + print("Norm3: " + str(np.linalg.norm((A_host3 @ X_host) - B_host3) / np.linalg.norm(A_host3 @ X_host) )) + +def verifyResultFortran(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev): + A_host1 = A_dev1.get() + A_host2 = A_dev2.get() + A_host3 = A_dev3.get() + X_host = X_dev.get().T + B_host1 = B_dev1.get() + B_host2 = B_dev2.get() + B_host3 = B_dev3.get() + np.set_printoptions(threshold=sys.maxsize) + errMat = ((A_host1 @ X_host).T - B_host1) / np.linalg.norm(A_host1 @ X_host) + print("Fraction Nonzero: "+ str(np.count_nonzero(errMat)/(n_out*n_elem))) + print("Norm1: " + str(np.linalg.norm((A_host1 @ X_host).T - B_host1) / np.linalg.norm(A_host1 @ X_host) )) + print("Norm2: " + str(np.linalg.norm((A_host2 @ X_host).T - B_host2) / np.linalg.norm(A_host2 @ X_host) )) + print("Norm3: " + str(np.linalg.norm((A_host3 @ X_host).T - B_host3) / np.linalg.norm(A_host3 @ X_host) )) + +def k_inner_inner_options(reverse=True): + return sorted([8,16,32], reverse=reverse) + +def k_inner_outer_options(n_in, k_inner_inner, sm_size, fp_bytes=4,reverse=False): + # Possibilities limited by size of global memory + options = np.arange(1, (sm_size // (fp_bytes*k_inner_inner*n_in)) + 1) + #Arbitrarily limit to at max 12 inline to limit search space + options = k_inner_inner*options[options <= 12] + return sorted(options, reverse=reverse) + +def i_inner_inner_options(n_out, k_inner_inner, max_workitems=1024, reverse=True): + factors = np.arange(2,n_out+1)[(n_out % np.arange(2,n_out+1)) == 0] + # Ensure total number of workitems is less than maximum + usable_factors = factors[factors*k_inner_inner <= max_workitems] + return sorted(usable_factors, reverse=reverse) + +def i_inner_outer_options(n_out, i_inner_inner, reverse=False): + # Select a number of inline blocks such that n_out % outer*inner == 0 + inline = np.arange(1, (n_out // i_inner_inner) + 1) + options = i_inner_inner*inline[n_out % (inline*i_inner_inner) == 0] + return sorted(options, reverse=reverse) + +def j_inner_options(n_in,reverse=False): + factors = list(np.arange(1,n_in + 1)[(n_in % np.arange(1,n_in + 1)) == 0]) + return sorted(factors, reverse=reverse) + +def exhaustiveSearch(n_in, n_out, n_elem, sm_size,time_limit=float('inf'), fp_bytes=4, max_gflops=None, device_memory_bandwidth=None, max_workitems=1024, gflops_cutoff=.95, bandwidth_cutoff=0.95): + k_inner_inner_opt = k_inner_inner_options() + j_inner_opt = j_inner_options(n_in) + start = time.time() + + avg_time_saved = float("inf") + result_saved = None + for kii in k_inner_inner_opt: + for kio in k_inner_outer_options(n_in, kii, sm_size, fp_bytes=fp_bytes): + for iii in i_inner_inner_options(n_out, kii, max_workitems=max_workitems): + for iio in i_inner_outer_options(n_out, iii): + for ji in j_inner_opt: + dev_arrays, avg_time = runTest(int(n_elem), int(n_in), int(n_out), int(kio), int(kii), int(iio), int(iii), int(ji)) + if not max_gflops == None and not device_memory_bandwidth == None: + frac_peak_gflops, frac_peak_GBps = analyzeResult(n_out, n_in, n_elem, max_gflops, device_memory_bandwidth, avg_time) + if frac_peak_gflops >= gflops_cutoff or frac_peak_GBps >= bandwidth_cutoff: + # Should validate result here + print("Performance is within tolerance of peak bandwith or flop rate. Terminating search") + return (kio, kii, iio, iii, ji) + if avg_time < avg_time_saved: + avg_time_saved = avg_time + result_saved = (kio, kii, iio, iii, ji) + if time.time() - start > time_limit: + return result_saved + return result_saved + +def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float('inf'), fp_bytes=4, max_gflops=None, device_memory_bandwidth=None, max_workitems=1024, gflops_cutoff=.95, bandwidth_cutoff=0.95): + from random import choice + avg_time_saved = float("inf") + result_saved=None + start = time.time() + + k_inner_inner_opt = k_inner_inner_options() + j_inner_opt = j_inner_options(n_in) + + tested = [] + # Assuming time is in milliseconds + while(time.time() - start < time_limit): + # Can be more intelligent by ensuring choices are not run multiple times + kii = choice(k_inner_inner_opt) + kio = choice(k_inner_outer_options(n_in, kii, sm_size, fp_bytes=fp_bytes)) + iii = choice(i_inner_inner_options(n_out, kii, max_workitems=max_workitems)) + iio = choice(i_inner_outer_options(n_out, iii)) + ji = choice(j_inner_opt) + choices = (kio, kii, iio, iii, ji) + if not choices in tested: + print(choices) + dev_arrays, avg_time = runTest(int(n_elem), int(n_in), int(n_out), int(kio), int(kii), int(iio), int(iii), int(ji)) + tested.append(choices) + if not max_gflops == None and not device_memory_bandwidth == None: + frac_peak_gflops, frac_peak_GBps = analyzeResult(n_out, n_in, n_elem, max_gflops, device_memory_bandwidth, avg_time) + if frac_peak_gflops >= gflops_cutoff or frac_peak_GBps >= bandwidth_cutoff: + # Should validate result here + print("Performance is within tolerance of peak bandwith or flop rate. Terminating search") + return (kio, kii, iio, iii, ji) + if avg_time < avg_time_saved: + avg_time_saved = avg_time + result_saved = (kio, kii, iio, iii, ji) + + print("Time limit exceeded: returning current best result") + return result_saved + + +# Testing code +file_name = "transform.hjson" +device_id = "NVIDIA Titan V" +fp_format=np.complex128 +fp_format_dict = {np.float32: (4, "FP32"), np.float64: (8, "FP64"), np.complex128: (16, "C128")} +fp_bytes, fp_string = (8, "FP64") if fp_format==np.float64 else (4, "FP32") + + + +toTest = True + +if toTest: + n_elem = 2**21 + pn = 2 + print(len(equidistant_nodes(pn, 3)[1])) + n_out = len(equidistant_nodes(pn, 3)[1]) + n_in = len(equidistant_nodes(pn, 3)[1]) + + #settings = exhaustiveSearch(n_in, n_out, n_elem, 4*12*1024, fp_bytes=fp_bytes, max_gflops=12288, device_memory_bandwidth=540) + settings = randomSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180, fp_bytes=fp_bytes, max_gflops=12288, device_memory_bandwidth=540) + #settings = noSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180, fp_bytes=fp_bytes, max_gflops=12288, device_memory_bandwidth=540) + print("FINAL RESULTS") + print(settings) +# Add functionality to write transformations to file + +#for i in range(10): +# dev_arrays, avg_time = runTest(n_elem, n_in, n_out, kio, kii, iio, iii, ji) +# analyzeResult(n_out, n_in, n_elem, 12288, 540, avg_time) +# verifyResult(*dev_arrays) + diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson new file mode 100644 index 000000000..1f002c4ff --- /dev/null +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -0,0 +1,173 @@ +{ + # The idea with mapping devices to uuids is that multiple devices can map to + # a single set of transformations. + # Question: should + devices: { + "NVIDIA Titan V": 72a3ce98-5d21-48bf-b402-6ee96bafd1b6 + "NVIDIA GTX Titan X": 1d7cab16-19bd-4474-95f2-44ed1c0e60df + } + + transformations:{ + 72a3ce98-5d21-48bf-b402-6ee96bafd1b6: { + description: "Transformations for the NVIDIA Titan V" + # 64-bit or 32-bit kernel + FP32:{ + # Polynomial order + 2:[ + # Format: [Transformation, args, kwargs] + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["i", 10], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 3:[ + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 4:[ + # Move this to array context? + #["tag_array_axes", ["diff_mat", "sep,c,c"]], + #["tag_array_axes", ["result", "sep,f,f"]], + #["tag_array_axes", ["vec", "f,f"]], + + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["i", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + + #["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + #["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + #["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + #["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + + ], + 5:[ + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 192], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["i", 56], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], + 6:[ + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 128], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["i", 42], {outer_tag: "g.1"}], + ["split_iname", ["i_inner", 14], {outer_tag: "ilp", inner_tag: "l.1"}], + ["split_iname", ["j", 14], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + + #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], + #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ], + 7:[ + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 96], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["k_inner", 8], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["i", 120], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + + #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], + #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ] + } + # Not optimized, just copied from 32 bit version + FP64: { + 2:[ + # Format: [Transformation, args, kwargs] + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["i", 10], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 3:[ + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 4:[ + # Move this to array context? + #["tag_array_axes", ["diff_mat", "sep,c,c"]], + #["tag_array_axes", ["result", "sep,f,f"]], + #["tag_array_axes", ["vec", "f,f"]], + + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["i", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + + #["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + #["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + #["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + #["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + + ], + 5:[ + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 192], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["i", 56], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], + 6:[ + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 128], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["i", 42], {outer_tag: "g.1"}], + ["split_iname", ["i_inner", 14], {outer_tag: "ilp", inner_tag: "l.1"}], + ["split_iname", ["j", 14], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + + #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], + #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ], + 7:[ + ["tag_inames", [[["m", "ilp"]]]], + ["split_iname", ["k", 48], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["k_inner", 8], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["i", 120], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + + #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], + #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ] + } + } + 1d7cab16-19bd-4474-95f2-44ed1c0e60df: {} + } +} + + diff --git a/prepare-and-run-flake8.sh b/prepare-and-run-flake8.sh new file mode 100755 index 000000000..d22a4d874 --- /dev/null +++ b/prepare-and-run-flake8.sh @@ -0,0 +1,9 @@ +#! /bin/bash + +curl -L -O -k https://gitlab.tiker.net/inducer/ci-support/raw/master/ci-support.sh +source ci-support.sh + +print_status_message +clean_up_repo_and_working_env +create_and_set_up_virtualenv +install_and_run_flake8 "$@" diff --git a/requirements.txt b/requirements.txt index 0b012db62..6f8c0779c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,15 +1,15 @@ numpy mpi4py -git+https://github.com/inducer/pytools.git#egg=pytools +git+https://github.com/nchristensen/pytools.git#egg=pytools == 2020.4.5 git+https://github.com/inducer/pymbolic.git#egg=pymbolic git+https://github.com/inducer/islpy.git#egg=islpy git+https://github.com/inducer/pyopencl.git#egg=pyopencl -git+https://github.com/inducer/loopy.git#egg=loo.py +git+https://github.com/inducer/loopy.git@revert-172-revert-156-master#egg=loopy == 2020.2.2 git+https://github.com/inducer/dagrt.git#egg=dagrt git+https://github.com/inducer/leap.git#egg=leap git+https://github.com/inducer/meshpy.git#egg=meshpy git+https://github.com/inducer/modepy.git#egg=modepy -git+https://github.com/inducer/meshmode.git#egg=meshmode +git+https://github.com/nchristensen/meshmode.git#egg=meshmode == 2020.2.1 git+https://github.com/inducer/pyvisfile.git#egg=pyvisfile git+https://github.com/inducer/pymetis.git#egg=pymetis git+https://github.com/illinois-ceesd/logpyle.git#egg=logpyle diff --git a/setup.py b/setup.py index 22aaa32c2..a4ec4ee6a 100644 --- a/setup.py +++ b/setup.py @@ -40,12 +40,15 @@ def main(): 'Topic :: Utilities', ], + package_data={ + "loopy_dg_kernels": ["*.hjson"] + }, packages=find_packages(), python_requires="~=3.6", install_requires=[ "pytest>=2.3", - "pytools>=2020.3", + "pytools>=2020.4.5", "modepy>=2013.3", "meshmode>=2020.2", "pyopencl>=2013.1", @@ -54,6 +57,7 @@ def main(): "cgen>=2013.1.2", "leap>=2019.1", "dagrt>=2019.1", + "import_resources; python_version<'3.7'" ]) From 013fe912ea7702ec3dc90cc7f5a1fdc612c7c60a Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 22 Dec 2020 02:48:31 -0600 Subject: [PATCH 019/253] flake8 + versioning --- grudge/execution.py | 21 +- grudge/grudge_array_context.py | 29 +- grudge/loopy_dg_kernels/__init__.py | 325 ++++---- grudge/loopy_dg_kernels/roofline_plotting.py | 60 +- grudge/loopy_dg_kernels/run_tests.py | 743 ++++++++++--------- grudge/version.py | 2 +- 6 files changed, 623 insertions(+), 557 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index a4c017bce..a1173845c 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -56,12 +56,15 @@ class VecDOFTag(Tag): pass + class FaceDOFTag(Tag): pass + class VecOpDOFTag(Tag): pass + class ExecutionMapper(mappers.Evaluator, mappers.BoundOpMapperMixin, mappers.LocalOpReducerMixin): @@ -316,8 +319,8 @@ def prg(): prg(), mat=matrix, result=result[out_grp.index], - vec=field[in_grp.index]) #inArg - + vec=field[in_grp.index]) # inArg + return result def map_projection(self, op, field_expr): @@ -355,7 +358,7 @@ def prg(): """ result[iel,idof] = sum(f, sum(j, mat[idof, f, j] * vec[f, iel, j])) """, - kernel_data = [ + kernel_data=[ lp.GlobalArg("result", None, shape=lp.auto, tags=DOFTag()), lp.GlobalArg("vec", None, shape=lp.auto, tags=FaceDOFTag()), "..." @@ -536,7 +539,8 @@ def prg(n_mat): kernel_data=[ lp.GlobalArg("result", None, shape=lp.auto, tags=VecDOFTag()), lp.GlobalArg("vec", None, shape=lp.auto, tags=DOFTag()), - lp.GlobalArg("diff_mat", None, shape=lp.auto, tags=VecOpDOFTag()), + lp.GlobalArg("diff_mat", None, shape=lp.auto, + tags=VecOpDOFTag()), ... ], name="diff") @@ -578,18 +582,21 @@ def prg(n_mat): # TODO Add fallback transformations to hjson file # TODO Use the above kernel rather than the one in loopy_dg_kernels print(field.entry_dtype) - if noperators == 3 and (field.entry_dtype == np.float64 or field.entry_dtype == np.float32): + if noperators == 3 and (field.entry_dtype == np.float64 + or field.entry_dtype == np.float32): n_out, n_in = matrices_ary_dev[0].shape n_elem = field[in_grp.index].shape[0] options = lp.Options(no_numpy=True, return_dict=True) - program = dgk.gen_diff_knl_fortran2(noperators, n_elem, n_in, n_out,options=options, fp_format=field.entry_dtype) + program = dgk.gen_diff_knl_fortran2(noperators, n_elem, n_in, + n_out, options=options, fp_format=field.entry_dtype) else: program = prg(noperators) self.array_context.call_loopy( program, diff_mat=matrices_ary_dev, - result=make_obj_array([result[iop][out_grp.index] for iop in range(noperators)]), + result=make_obj_array([result[iop][out_grp.index] + for iop in range(noperators)]), vec=field[in_grp.index]) return [(name, result[i]) for i, name in enumerate(insn.names)], [] diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index 05ce45bd8..867fd9730 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -1,11 +1,12 @@ -from meshmode.array_context import PyOpenCLArrayContext, make_loopy_program +from meshmode.array_context import PyOpenCLArrayContext from meshmode.dof_array import DOFTag -from grudge.execution import VecDOFTag, VecOpDOFTag, FaceDOFTag +#from grudge.execution import VecOpDOFTag +from grudge.execution import VecDOFTag, FaceDOFTag import loopy as lp -import pyopencl +#import pyopencl import pyopencl.array as cla import grudge.loopy_dg_kernels as dgk -import numpy as np +#import numpy as np try: import importlib.resources as pkg_resources except ImportError: @@ -15,6 +16,7 @@ ctof_knl = lp.make_copy_kernel("f,f", old_dim_tags="c,c") ftoc_knl = lp.make_copy_kernel("c,c", old_dim_tags="f,f") + class GrudgeArrayContext(PyOpenCLArrayContext): def empty(self, shape, dtype): @@ -35,7 +37,7 @@ def _get_scalar_func_loopy_program(self, name, nargs, naxes): def thaw(self, array): thawed = super().thaw(array) - if type(getattr(array, "tags", None)) == DOFTag: + if type(getattr(array, "tags", None)) == DOFTag: cq = thawed.queue _, (out,) = ctof_knl(cq, input=thawed) thawed = out @@ -49,19 +51,19 @@ def transform_loopy_program(self, program): for arg in program.args: if isinstance(arg.tags, DOFTag): program = lp.tag_array_axes(program, arg.name, "f,f") - + elif isinstance(arg.tags, VecDOFTag): - program = lp.tag_array_axes(program, arg.name, "sep,f,f") + program = lp.tag_array_axes(program, arg.name, "sep,f,f") #elif isinstance(arg.tags, VecOpDOFTag): # program = lp.tag_array_axes(program, arg.name, "sep,c,c") elif isinstance(arg.tags, FaceDOFTag): - program = lp.tag_array_axes(program, arg.name, "N1,N0,N2") + program = lp.tag_array_axes(program, arg.name, "N1,N0,N2") if program.name == "opt_diff": - # TODO: Dynamically determine device id, don't hardcode path to transform.hjson. + # TODO: Dynamically determine device id, + # don't hardcode path to transform.hjson. # Also get pn from program hjson_file = pkg_resources.open_text(dgk, "transform.hjson") - #filename = "/home/njchris2/Workspace/nick/loopy_dg_kernels/transform.hjson" deviceID = "NVIDIA Titan V" pn = -1 @@ -69,10 +71,10 @@ def transform_loopy_program(self, program): dofs_to_order = {10: 2, 20: 3, 35: 4, 56: 5, 84: 6, 120: 7} # Is this a list or a dictionary? for arg in program.args: - if arg.name=="diff_mat": + if arg.name == "diff_mat": pn = dofs_to_order[arg.shape[2]] fp_format = arg.dtype.numpy_dtype - break; + break #print(pn) #print(fp_format) @@ -87,7 +89,8 @@ def transform_loopy_program(self, program): # Should throw an error #exit() - transformations = dgk.loadTransformationsFromFile(hjson_file, deviceID, pn, fp_format=fp_format) + transformations = dgk.loadTransformationsFromFile(hjson_file, + deviceID, pn, fp_format=fp_format) program = dgk.applyTransformationList(program, transformations) else: program = super().transform_loopy_program(program) diff --git a/grudge/loopy_dg_kernels/__init__.py b/grudge/loopy_dg_kernels/__init__.py index d2c879857..f7deb9077 100644 --- a/grudge/loopy_dg_kernels/__init__.py +++ b/grudge/loopy_dg_kernels/__init__.py @@ -1,27 +1,27 @@ import numpy as np -import pyopencl as cl -import pyopencl.array -import pyopencl.clrandom +#import pyopencl as cl +#import pyopencl.array +#import pyopencl.clrandom import loopy as lp -from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_2 -from loopy.kernel.data import AddressSpace +#from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_2 +#from loopy.kernel.data import AddressSpace -import pycuda.gpuarray as cuarray -import pycuda.driver as drv -import pycuda.tools -import pycuda.autoinit -from pycuda.compiler import SourceModule -from pycuda.curandom import rand as curand +#import pycuda.gpuarray as cuarray +#import pycuda.driver as drv +#import pycuda.tools +#import pycuda.autoinit +#from pycuda.compiler import SourceModule +#from pycuda.curandom import rand as curand -from modepy import equidistant_nodes +#from modepy import equidistant_nodes -from bs4 import UnicodeDammit +#from bs4 import UnicodeDammit import hjson -import time -from math import ceil -import sys +#import time +#from math import ceil +#import sys # setup # ----- @@ -29,8 +29,10 @@ import loopy.options loopy.options.ALLOW_TERMINAL_COLORS = False -# Se podría usar el de Grudge. -def gen_diff_knl_fortran2(n_mat, n_elem, n_in, n_out, fp_format=np.float32, options=None): + +# Se podría usar el de Grudge. +def gen_diff_knl_fortran2(n_mat, n_elem, n_in, n_out, fp_format=np.float32, + options=None): knl = lp.make_kernel( """{[m,k,i,j]: 0<=m 0 \ and ndiscr_nodes_out > 0 \ and ndiscr_nodes_in > 0 and nmatrices > 0", options=options, - name="opt_diff" + name="opt_diff" ) # This should be in array context probably but need to avoid circular dependency knl = lp.tag_array_axes(knl, "diff_mat", "sep,c,c") - knl = lp.tag_array_axes(knl, "result", "sep,f,f") + knl = lp.tag_array_axes(knl, "result", "sep,f,f") knl = lp.tag_array_axes(knl, "vec", "f,f") - knl = lp.fix_parameters(knl, nmatrices=n_mat, nelements=n_elem, ndiscr_nodes_in=n_in, ndiscr_nodes_out=n_out) - + knl = lp.fix_parameters(knl, nmatrices=n_mat, nelements=n_elem, + ndiscr_nodes_in=n_in, ndiscr_nodes_out=n_out) return knl @@ -71,31 +76,40 @@ def gen_diff_knl_fortran(n_elem, n_in, n_out, fp_format=np.float32, options=None 0<=i 0 \ + assumptions="nelements > 0 \ and ndiscr_nodes_out > 0 \ and ndiscr_nodes_in > 0", - default_offset=None, + default_offset=None, name="diff" ) - knl = lp.fix_parameters(knl, nelements=n_elem, ndiscr_nodes_in=n_in, ndiscr_nodes_out=n_out) + knl = lp.fix_parameters(knl, nelements=n_elem, ndiscr_nodes_in=n_in, + ndiscr_nodes_out=n_out) slabs0 = (0,0) if n_elem % k_inner_outer == 0 else (0,1) knl = lp.split_iname(knl, "k", k_inner_outer, outer_tag="g.0", slabs=slabs0) - knl = lp.split_iname(knl, "k_inner", k_inner_inner, outer_tag="ilp", inner_tag="l.0") + knl = lp.split_iname(knl, "k_inner", k_inner_inner, outer_tag="ilp", + inner_tag="l.0") knl = lp.split_iname(knl, "j", j_inner) knl = lp.split_iname(knl, "i", i_inner_outer, outer_tag="g.1")#slabs=(0,1)) - knl = lp.split_iname(knl, "i_inner", i_inner_inner, outer_tag="ilp", inner_tag="l.1") + knl = lp.split_iname(knl, "i_inner", i_inner_inner, outer_tag="ilp", + inner_tag="l.1") - #knl = lp.prioritize_loops(knl, "j_outer,j_inner,k_inner_outer") - - knl = lp.add_prefetch(knl, "vec", "j_outer,j_inner,k_inner_outer,k_inner_inner", temporary_name="vecf", default_tag="l.auto") - knl = lp.add_prefetch(knl, "mat1", "j_inner", temporary_name="mat1fp", default_tag="unr") - knl = lp.add_prefetch(knl, "mat2", "j_inner", temporary_name="mat2fp", default_tag="unr") - knl = lp.add_prefetch(knl, "mat3", "j_inner", temporary_name="mat3fp", default_tag="unr") + #knl = lp.prioritize_loops(knl, "j_outer,j_inner,k_inner_outer") + + knl = lp.add_prefetch(knl, "vec", "j_outer,j_inner,k_inner_outer,k_inner_inner", + temporary_name="vecf", default_tag="l.auto") + knl = lp.add_prefetch(knl, "mat1", "j_inner", temporary_name="mat1fp", + default_tag="unr") + knl = lp.add_prefetch(knl, "mat2", "j_inner", temporary_name="mat2fp", + default_tag="unr") + knl = lp.add_prefetch(knl, "mat3", "j_inner", temporary_name="mat3fp", + default_tag="unr") return knl ''' + def loadTransformationsFromFile(hjson_file, device_id, pn, fp_format=np.float32): hjson_text = hjson_file.read() od = hjson.loads(hjson_text) transformID = od["devices"][device_id] fp_string = "FP64" if fp_format == np.float64 else "FP32" hjson_file.close() - transformations = od["transformations"][transformID][fp_string][str(pn)] + transformations = od["transformations"][transformID][fp_string][str(pn)] return transformations -def generateTransformationListOld(k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner): + +def generateTransformationListOld(k_inner_outer, k_inner_inner, i_inner_outer, + i_inner_inner, j_inner): transformations = [] # transformation name, list of args, dict of keyward args - transformations.append(("split_iname", ["k", k_inner_outer], {"outer_tag": "g.0", "slabs": (0,1)})) - transformations.append(("split_iname", ["k_inner", k_inner_inner], {"outer_tag": "ilp", "inner_tag": "l.0"})) + transformations.append(("split_iname", ["k", k_inner_outer], {"outer_tag": "g.0", + "slabs": (0, 1)})) + transformations.append(("split_iname", ["k_inner", k_inner_inner], + {"outer_tag": "ilp", "inner_tag": "l.0"})) transformations.append(("split_iname", ["j", j_inner])) - transformations.append(("split_iname", ["i", i_inner_outer], {"outer_tag": "g.1"})) - transformations.append(("split_iname", ["i_inner", i_inner_inner], {"outer_tag": "ilp", "inner_tag": "l.1"})) - transformations.append(("add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], \ - {"temporary_name": "vecf", "default_tag": "l.auto"})) - transformations.append(("add_prefetch", ["mat1", "j_inner"], {"temporary_name": "mat1fp", "default_tag": "unr"})) - transformations.append(("add_prefetch", ["mat2", "j_inner"], {"temporary_name": "mat2fp", "default_tag": "unr"})) - transformations.append(("add_prefetch", ["mat3", "j_inner"], {"temporary_name": "mat3fp", "default_tag": "unr"})) + transformations.append(("split_iname", ["i", i_inner_outer], + {"outer_tag": "g.1"})) + transformations.append(("split_iname", ["i_inner", i_inner_inner], + {"outer_tag": "ilp", "inner_tag": "l.1"})) + transformations.append(("add_prefetch", ["vec", + "j_outer,j_inner,k_inner_outer,k_inner_inner"], + {"temporary_name": "vecf", "default_tag": "l.auto"})) + transformations.append(("add_prefetch", ["mat1", "j_inner"], + {"temporary_name": "mat1fp", "default_tag": "unr"})) + transformations.append(("add_prefetch", ["mat2", "j_inner"], + {"temporary_name": "mat2fp", "default_tag": "unr"})) + transformations.append(("add_prefetch", ["mat3", "j_inner"], + {"temporary_name": "mat3fp", "default_tag": "unr"})) return transformations -def generateTransformationList(k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner): + +def generateTransformationList(k_inner_outer, k_inner_inner, i_inner_outer, + i_inner_inner, j_inner): transformations = [] # transformation name, list of args, dict of keyward args transformations.append(("tag_array_axes", ["diff_mat", "sep,c,c"])) transformations.append(("tag_array_axes", ["result", "sep,f,f"])) transformations.append(("tag_inames", [[("m", "ilp")]])) - transformations.append(("split_iname", ["k", k_inner_outer], {"outer_tag": "g.0", "slabs": (0,0)})) - transformations.append(("split_iname", ["k_inner", k_inner_inner], {"outer_tag": "ilp", "inner_tag": "l.0"})) + transformations.append(("split_iname", ["k", k_inner_outer], {"outer_tag": "g.0", + "slabs": (0, 0)})) + transformations.append(("split_iname", ["k_inner", k_inner_inner], + {"outer_tag": "ilp", "inner_tag": "l.0"})) transformations.append(("split_iname", ["j", j_inner])) - transformations.append(("split_iname", ["i", i_inner_outer], {"outer_tag": "g.1"})) - transformations.append(("split_iname", ["i_inner", i_inner_inner], {"outer_tag": "ilp", "inner_tag": "l.1"})) - transformations.append(("add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], \ - {"temporary_name": "vecf", "default_tag": "l.auto"})) - transformations.append(("add_prefetch", ["diff_mat", "j_inner"], {"temporary_name": "matfp", "default_tag": "unr"})) + transformations.append(("split_iname", ["i", i_inner_outer], + {"outer_tag": "g.1"})) + transformations.append(("split_iname", ["i_inner", i_inner_inner], + {"outer_tag": "ilp", "inner_tag": "l.1"})) + transformations.append(("add_prefetch", ["vec", + "j_outer,j_inner,k_inner_outer,k_inner_inner"], + {"temporary_name": "vecf", "default_tag": "l.auto"})) + transformations.append(("add_prefetch", ["diff_mat", "j_inner"], + {"temporary_name": "matfp", "default_tag": "unr"})) return transformations def applyTransformationList(knl, transformations): - functionMapping = { "split_iname": lp.split_iname, + functionMapping = {"split_iname": lp.split_iname, "add_prefetch": lp.add_prefetch, "prioritize_loops": lp.prioritize_loops, "rename_iname": lp.rename_iname, "tag_array_axes": lp.tag_array_axes, - "tag_inames": lp.tag_inames } + "tag_inames": lp.tag_inames} # Maybe add some logic to add slabs=(0,0) if n_elem % k_inner_outer == 0 - # Maybe can do this based on tranformation name, loop variable, and loop variable bounds + # Maybe can do this based on tranformation name, loop variable, and loop variable + # bounds for t in transformations: - func = functionMapping[t[0]] - args = [knl] + t[1] - kwargs = t[2] if len(t) > 2 else {} - #print(t) - knl = func(*args, **kwargs) + func = functionMapping[t[0]] + args = [knl] + t[1] + kwargs = t[2] if len(t) > 2 else {} + #print(t) + knl = func(*args, **kwargs) return knl diff --git a/grudge/loopy_dg_kernels/roofline_plotting.py b/grudge/loopy_dg_kernels/roofline_plotting.py index 886532ef8..ff1bbfae1 100644 --- a/grudge/loopy_dg_kernels/roofline_plotting.py +++ b/grudge/loopy_dg_kernels/roofline_plotting.py @@ -1,34 +1,46 @@ import matplotlib.pyplot as plt import numpy as np -max_flops_unboosted = 12288 #GFLOP/s -max_flops_boosted = 13444.5 #Empirical roofline toolkit +max_flops_unboosted = 12288 # GFLOP/s +max_flops_boosted = 13444.5 # Empirical roofline toolkit -max_g_bandwidth_warburton = 540 #GB/s -max_g_bandwidth_ert = 561.4 +max_g_bandwidth_warburton = 540 # GB/s +max_g_bandwidth_ert = 561.4 max_l1_bandwidth = 2610.5 flops_per_byte_accessed = np.arange(0, 101) -max_flops_unboosted_array = max_flops_unboosted * np.ones_like(flops_per_byte_accessed) +max_flops_unboosted_array = max_flops_unboosted * \ + np.ones_like(flops_per_byte_accessed) -max_flops_g_unboosted_data = np.minimum(flops_per_byte_accessed*max_g_bandwidth_warburton, max_flops_unboosted_array) -max_flops_l1_unboosted_data = np.minimum(flops_per_byte_accessed*max_l1_bandwidth, max_flops_unboosted_array) +max_flops_g_unboosted_data = np.minimum(flops_per_byte_accessed + * max_g_bandwidth_warburton, max_flops_unboosted_array) +max_flops_l1_unboosted_data = np.minimum(flops_per_byte_accessed + * max_l1_bandwidth, max_flops_unboosted_array) fig = plt.figure() ax = fig.add_subplot(111) -ax.loglog(flops_per_byte_accessed, max_flops_g_unboosted_data, label='Device memory roofline') -ax.loglog(flops_per_byte_accessed, max_flops_l1_unboosted_data, label='L1 cache/Local memory roofline') +ax.loglog(flops_per_byte_accessed, max_flops_g_unboosted_data, + label='Device memory roofline') +ax.loglog(flops_per_byte_accessed, max_flops_l1_unboosted_data, + label='L1 cache/Local memory roofline') -theoretical_x_1 = 3*2*np.array([10,20,35,56,85,120]) / (4 + 12) # Assumes one read and three stores -theoretical_x_4 = 3*2*np.array([10,20,35,56,84,120]) / (4 + 12 + 12) # Assumes four reads and three stores -theoretical_x_7 = 3*2*np.array([10,20,35,56,84,120]) / (4 + 2*(12+12)) # Assumes seven reads and three stores +theoretical_x_1 = 3*2*np.array([10, 20, 35, 56, 85, 120]) \ + / (4 + 12) # Assumes one read and three stores +theoretical_x_4 = 3*2*np.array([10, 20, 35, 56, 84, 120]) \ + / (4 + 12 + 12) # Assumes four reads and three stores +theoretical_x_7 = 3*2*np.array([10, 20, 35, 56, 84, 120]) \ + / (4 + 2*(12+12)) # Assumes seven reads and three stores #theoretical_x = 2*np.arange(1,33) / (4 + 4) # Assumes one read and one stores -theoretical_y_1 = np.minimum(theoretical_x_1*max_g_bandwidth_warburton, max_flops_unboosted) -theoretical_y_4 = np.minimum(theoretical_x_4*max_g_bandwidth_warburton, max_flops_unboosted) -theoretical_y_7 = np.minimum(theoretical_x_7*max_g_bandwidth_warburton, max_flops_unboosted) +theoretical_y_1 = np.minimum(theoretical_x_1 + * max_g_bandwidth_warburton, max_flops_unboosted) +theoretical_y_4 = np.minimum(theoretical_x_4 + * max_g_bandwidth_warburton, max_flops_unboosted) +theoretical_y_7 = np.minimum(theoretical_x_7 + * max_g_bandwidth_warburton, max_flops_unboosted) empirical_x = theoretical_x_4.copy() #empirical_x[0:3] = theoretical_x_1[0:3] -empirical_y = [2026.9636053441898, 4049.8734098551745, 7085.0042493541905, 8143.440577930807, 9010.054141132498, 10126.59788574097] +empirical_y = [2026.9636053441898, 4049.8734098551745, 7085.0042493541905, + 8143.440577930807, 9010.054141132498, 10126.59788574097] print(theoretical_x_1) print(theoretical_y_1) print(theoretical_x_4) @@ -37,15 +49,19 @@ pn_labels = ['2', '3', '4', '5', '6', '7'] plt.title("Grudge elementwise differentiation kernel: FP32") -ax.loglog(theoretical_x_1, theoretical_y_1,'sy', label='4 device memory accesses model (3 writes, 1 read)', markersize=8) -ax.loglog(theoretical_x_4, theoretical_y_4,'ob', label='7 device memory accesses model, (3 writes, 4 reads)') +ax.loglog(theoretical_x_1, theoretical_y_1, 'sy', + label='4 device memory accesses model (3 writes, 1 read)', markersize=8) +ax.loglog(theoretical_x_4, theoretical_y_4, 'ob', + label='7 device memory accesses model, (3 writes, 4 reads)') #plt.loglog(theoretical_x_7, theoretical_y_7,'oy', label='13 accesses model') -ax.loglog(theoretical_x_1, empirical_y, '.r', label='Experimental results assuming 4 accesses') +ax.loglog(theoretical_x_1, empirical_y, '.r', + label='Experimental results assuming 4 accesses') for i in range(6): - ax.annotate(pn_labels[i], xy = (theoretical_x_1[i], empirical_y[i])) -ax.loglog(theoretical_x_4, empirical_y, '.g', label='Experimental results assuming 7 accesses') + ax.annotate(pn_labels[i], x=(theoretical_x_1[i], empirical_y[i])) +ax.loglog(theoretical_x_4, empirical_y, '.g', + label='Experimental results assuming 7 accesses') for i in range(6): - ax.annotate(pn_labels[i], xy = (theoretical_x_4[i], empirical_y[i])) + ax.annotate(pn_labels[i], xy=(theoretical_x_4[i], empirical_y[i])) plt.ylabel("GFLOP/s") plt.xlabel("Bytes per flop") plt.legend() diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index 2c6818e6b..a5bf08188 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -5,8 +5,8 @@ import pyopencl.clrandom import loopy as lp -from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_2 -from loopy.kernel.data import AddressSpace +#from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_2 +#from loopy.kernel.data import AddressSpace import pycuda.gpuarray as cuarray import pycuda.driver as drv @@ -17,10 +17,10 @@ from modepy import equidistant_nodes -from bs4 import UnicodeDammit -import hjson +#from bs4 import UnicodeDammit +#import hjson import time -from math import ceil +#from math import ceil import sys # setup @@ -32,379 +32,431 @@ from loopy_dg_kernels import gen_diff_knl from loopy_dg_kernels import generateTransformationList from loopy_dg_kernels import applyTransformationList -def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner,\ - backend="CUDA", fp_format=np.float32,nruns=10): - - kern = gen_diff_knl(n_elem,n_in,n_out,k_inner_outer,k_inner_inner,i_inner_outer,i_inner_inner, j_inner) - kern = lp.set_options(kern, "no_numpy") - - CUDA = backend == "CUDA" - OPENCL = not CUDA - - if CUDA: - stream = drv.Stream() - (ygrid, xgrid), (yblk, xblk) = kern.get_grid_size_upper_bounds_as_exprs() - kern = kern.copy(target=lp.CudaTarget()) - #kern = lp.set_options(kern, edit_code=True) - code = lp.generate_code_v2(kern).device_code() - mod = SourceModule(code, keep=True) - diff_fn = mod.get_function("diff") - A_dev1 = curand((n_out, n_in), dtype=fp_format, stream=stream) - A_dev2 = curand((n_out, n_in), dtype=fp_format, stream=stream) - A_dev3 = curand((n_out, n_in), dtype=fp_format, stream=stream) - X_dev = curand((n_in, n_elem), dtype=fp_format, stream=stream) - B_dev1 = cuarray.GPUArray((n_out, n_elem), fp_format) - B_dev2 = cuarray.GPUArray((n_out, n_elem), fp_format) - B_dev3 = cuarray.GPUArray((n_out, n_elem), fp_format) - print(code) - elif OPENCL: - - platform = cl.get_platforms() - my_gpu_devices = platform[0].get_devices(device_type=cl.device_type.GPU) - ctx = cl.Context(devices=my_gpu_devices) - #ctx = cl.create_some_context(interactive=True) - queue = cl.CommandQueue(ctx) - - #kern = lp.set_options(kern, edit_code=False) #Only works for OpenCL? - kern = lp.set_options(kern, "write_code") #Outputs the code before editing it - kern = kern.copy(target=lp.PyOpenCLTarget(my_gpu_devices[0])) - #code = lp.generate_code_v2(kern).device_code() - ## Print the Code - #prog = cl.Program(ctx, code) - #prog = prog.build() - #ptx = prog.get_info(cl.program_info.BINARIES)[0]#.decode(errors='ignore') #Breaks pocl - #dammit = UnicodeDammit(ptx) - #print(dammit.unicode_markup) - - #kern = lp.set_options(kern, "write_cl") - #A_dev = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - #X_dev = cl.clrandom.rand(queue, (n_elem, n_in), dtype=fp_format) - #B_dev = cl.array.Array(queue, (n_elem, n_out), dtype=fp_format) - A_dev1 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - A_dev2 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - A_dev3 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - X_dev = cl.clrandom.rand(queue, (n_in, n_elem), dtype=fp_format) - B_dev1 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - B_dev2 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - B_dev3 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - # Code for running binaries - - #device = queue.get_info(cl.command_queue_info.DEVICE) - #with open("pocl_32x32.ptx","rb") as f: - #with open("ptx_binary_nvopencl","rb") as f: - #with open("ptx_binary", "rb") as f: - #with open("cuda_32x32.ptx", "rb") as f: - # binary = f.read() - #prg = cl.Program(ctx, [device], [binary]) - #prg = prg.build() - #diff_knl = prg.diff - - events = [] - for i in range(2): + + +def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, + i_inner_inner, j_inner, backend="CUDA", fp_format=np.float32, nruns=10): + + kern = gen_diff_knl(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, + i_inner_outer, i_inner_inner, j_inner) + kern = lp.set_options(kern, "no_numpy") + + CUDA = (backend == "CUDA") + OPENCL = not CUDA + + if CUDA: + stream = drv.Stream() + (ygrid, xgrid), (yblk, xblk) = kern.get_grid_size_upper_bounds_as_exprs() + kern = kern.copy(target=lp.CudaTarget()) + #kern = lp.set_options(kern, edit_code=True) + code = lp.generate_code_v2(kern).device_code() + mod = SourceModule(code, keep=True) + diff_fn = mod.get_function("diff") + A_dev1 = curand((n_out, n_in), dtype=fp_format, stream=stream) + A_dev2 = curand((n_out, n_in), dtype=fp_format, stream=stream) + A_dev3 = curand((n_out, n_in), dtype=fp_format, stream=stream) + X_dev = curand((n_in, n_elem), dtype=fp_format, stream=stream) + B_dev1 = cuarray.GPUArray((n_out, n_elem), fp_format) + B_dev2 = cuarray.GPUArray((n_out, n_elem), fp_format) + B_dev3 = cuarray.GPUArray((n_out, n_elem), fp_format) + print(code) + elif OPENCL: + + platform = cl.get_platforms() + my_gpu_devices = platform[0].get_devices(device_type=cl.device_type.GPU) + ctx = cl.Context(devices=my_gpu_devices) + #ctx = cl.create_some_context(interactive=True) + queue = cl.CommandQueue(ctx) + + #kern = lp.set_options(kern, edit_code=False) #Only works for OpenCL? + kern = lp.set_options(kern, "write_code") # Output code before editing it + kern = kern.copy(target=lp.PyOpenCLTarget(my_gpu_devices[0])) + #code = lp.generate_code_v2(kern).device_code() + # Print the Code + #prog = cl.Program(ctx, code) + #prog = prog.build() + #ptx = prog.get_info(cl.program_info.BINARIES)[0]#.decode( + #errors='ignore') #Breaks pocl + #dammit = UnicodeDammit(ptx) + #print(dammit.unicode_markup) + + #kern = lp.set_options(kern, "write_cl") + #A_dev = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + #X_dev = cl.clrandom.rand(queue, (n_elem, n_in), dtype=fp_format) + #B_dev = cl.array.Array(queue, (n_elem, n_out), dtype=fp_format) + A_dev1 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + A_dev2 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + A_dev3 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + X_dev = cl.clrandom.rand(queue, (n_in, n_elem), dtype=fp_format) + B_dev1 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + B_dev2 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + B_dev3 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + # Code for running binaries + + #device = queue.get_info(cl.command_queue_info.DEVICE) + #with open("pocl_32x32.ptx","rb") as f: + #with open("ptx_binary_nvopencl","rb") as f: + #with open("ptx_binary", "rb") as f: + #with open("cuda_32x32.ptx", "rb") as f: + # binary = f.read() + #prg = cl.Program(ctx, [device], [binary]) + #prg = prg.build() + #diff_knl = prg.diff + + events = [] + for i in range(2): + if OPENCL: + #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) + #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, + # X_dev.shape, (32,32),None) + evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, + mat3=A_dev3, vec=X_dev) + events.append(evt) + elif CUDA: + diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, + block=(yblk, xblk, 1), grid=(ygrid, xgrid)) if OPENCL: - #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) - #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32),None) - evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, mat3=A_dev3, vec=X_dev) - events.append(evt) + cl.wait_for_events(events) elif CUDA: - diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk,xblk,1), grid=(ygrid,xgrid)) - if OPENCL: - cl.wait_for_events(events) - elif CUDA: - pycuda.autoinit.context.synchronize() - - sum_time = 0.0 - events = [] - start = time.time() - for i in range(nruns): + pycuda.autoinit.context.synchronize() + + sum_time = 0.0 + events = [] + start = time.time() + for i in range(nruns): + if OPENCL: + #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) + #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, + # X_dev.shape, (32,32),None) + evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, + mat3=A_dev3, vec=X_dev) + events.append(evt) + elif CUDA: + diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, + block=(yblk, xblk, 1), grid=(ygrid, xgrid)) if OPENCL: - #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) - #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32),None) - evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, mat3=A_dev3, vec=X_dev) - events.append(evt) + cl.wait_for_events(events) elif CUDA: - diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk,xblk,1), grid=(ygrid,xgrid)) - if OPENCL: - cl.wait_for_events(events) - elif CUDA: - pycuda.autoinit.context.synchronize() - - sum_time = time.time() - start - avg_time = sum_time / nruns - - return (B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev), avg_time - - - -def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner,\ - backend="CUDA", fp_format=np.float32,nruns=10): - - kern = gen_diff_knl(n_elem,n_in,n_out,fp_format=fp_format) - transformations = generateTransformationList(k_inner_outer,k_inner_inner,i_inner_outer,i_inner_inner, j_inner) - print(transformations) - kern = applyTransformationList(kern, transformations) - - kern = lp.set_options(kern, "no_numpy") - - CUDA = backend == "CUDA" - OPENCL = not CUDA - - if CUDA: - stream = drv.Stream() - (ygrid, xgrid), (yblk, xblk) = kern.get_grid_size_upper_bounds_as_exprs() - kern = kern.copy(target=lp.CudaTarget()) - #kern = lp.set_options(kern, edit_code=True) - code = lp.generate_code_v2(kern).device_code() - mod = SourceModule(code, keep=True) - diff_fn = mod.get_function("diff") - A_dev1 = curand((n_out, n_in), dtype=fp_format, stream=stream) - A_dev2 = curand((n_out, n_in), dtype=fp_format, stream=stream) - A_dev3 = curand((n_out, n_in), dtype=fp_format, stream=stream) - X_dev = curand((n_in, n_elem), dtype=fp_format, stream=stream) - B_dev1 = cuarray.GPUArray((n_out, n_elem), fp_format) - B_dev2 = cuarray.GPUArray((n_out, n_elem), fp_format) - B_dev3 = cuarray.GPUArray((n_out, n_elem), fp_format) - print(code) - elif OPENCL: - - platform = cl.get_platforms() - my_gpu_devices = platform[0].get_devices(device_type=cl.device_type.GPU) - ctx = cl.Context(devices=my_gpu_devices) - #ctx = cl.create_some_context(interactive=True) - queue = cl.CommandQueue(ctx) - - #kern = lp.set_options(kern, edit_code=False) #Only works for OpenCL? - kern = lp.set_options(kern, "write_code") #Outputs the code before editing it - kern = kern.copy(target=lp.PyOpenCLTarget(my_gpu_devices[0])) - #code = lp.generate_code_v2(kern).device_code() - ## Print the Code - #prog = cl.Program(ctx, code) - #prog = prog.build() - #ptx = prog.get_info(cl.program_info.BINARIES)[0]#.decode(errors='ignore') #Breaks pocl - #dammit = UnicodeDammit(ptx) - #print(dammit.unicode_markup) - - #kern = lp.set_options(kern, "write_cl") - #A_dev = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - #X_dev = cl.clrandom.rand(queue, (n_elem, n_in), dtype=fp_format) - #B_dev = cl.array.Array(queue, (n_elem, n_out), dtype=fp_format) - A_dev1 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - A_dev2 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - A_dev3 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - X_dev = cl.clrandom.rand(queue, (n_in, n_elem), dtype=fp_format) - B_dev1 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - B_dev2 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - B_dev3 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - # Code for running binaries - - #device = queue.get_info(cl.command_queue_info.DEVICE) - #with open("pocl_32x32.ptx","rb") as f: - #with open("ptx_binary_nvopencl","rb") as f: - #with open("ptx_binary", "rb") as f: - #with open("cuda_32x32.ptx", "rb") as f: - # binary = f.read() - #prg = cl.Program(ctx, [device], [binary]) - #prg = prg.build() - #diff_knl = prg.diff - - events = [] - for i in range(2): + pycuda.autoinit.context.synchronize() + + sum_time = time.time() - start + avg_time = sum_time / nruns + + return (B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev), avg_time + + +def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, + i_inner_inner, j_inner, backend="CUDA", fp_format=np.float32, + nruns=10): + + kern = gen_diff_knl(n_elem, n_in, n_out, fp_format=fp_format) + transformations = generateTransformationList(k_inner_outer, k_inner_inner, + i_inner_outer, i_inner_inner, + j_inner) + print(transformations) + kern = applyTransformationList(kern, transformations) + + kern = lp.set_options(kern, "no_numpy") + + CUDA = backend == "CUDA" + OPENCL = not CUDA + + if CUDA: + stream = drv.Stream() + (ygrid, xgrid), (yblk, xblk) = kern.get_grid_size_upper_bounds_as_exprs() + kern = kern.copy(target=lp.CudaTarget()) + #kern = lp.set_options(kern, edit_code=True) + code = lp.generate_code_v2(kern).device_code() + mod = SourceModule(code, keep=True) + diff_fn = mod.get_function("diff") + A_dev1 = curand((n_out, n_in), dtype=fp_format, stream=stream) + A_dev2 = curand((n_out, n_in), dtype=fp_format, stream=stream) + A_dev3 = curand((n_out, n_in), dtype=fp_format, stream=stream) + X_dev = curand((n_in, n_elem), dtype=fp_format, stream=stream) + B_dev1 = cuarray.GPUArray((n_out, n_elem), fp_format) + B_dev2 = cuarray.GPUArray((n_out, n_elem), fp_format) + B_dev3 = cuarray.GPUArray((n_out, n_elem), fp_format) + print(code) + elif OPENCL: + + platform = cl.get_platforms() + my_gpu_devices = platform[0].get_devices(device_type=cl.device_type.GPU) + ctx = cl.Context(devices=my_gpu_devices) + #ctx = cl.create_some_context(interactive=True) + queue = cl.CommandQueue(ctx) + + #kern = lp.set_options(kern, edit_code=False) # Only works for OpenCL? + # Outputs the code before editing it + kern = lp.set_options(kern, "write_code") + kern = kern.copy(target=lp.PyOpenCLTarget(my_gpu_devices[0])) + #code = lp.generate_code_v2(kern).device_code() + # Print the Code + #prog = cl.Program(ctx, code) + #prog = prog.build() + # Breaks pocl + #ptx = prog.get_info(cl.program_info.BINARIES)[0]#.decode(errors='ignore') + #dammit = UnicodeDammit(ptx) + #print(dammit.unicode_markup) + + #kern = lp.set_options(kern, "write_cl") + #A_dev = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + #X_dev = cl.clrandom.rand(queue, (n_elem, n_in), dtype=fp_format) + #B_dev = cl.array.Array(queue, (n_elem, n_out), dtype=fp_format) + A_dev1 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + A_dev2 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + A_dev3 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + X_dev = cl.clrandom.rand(queue, (n_in, n_elem), dtype=fp_format) + B_dev1 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + B_dev2 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + B_dev3 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + # Code for running binaries + #device = queue.get_info(cl.command_queue_info.DEVICE) + #with open("pocl_32x32.ptx","rb") as f: + #with open("ptx_binary_nvopencl","rb") as f: + #with open("ptx_binary", "rb") as f: + #with open("cuda_32x32.ptx", "rb") as f: + # binary = f.read() + #prg = cl.Program(ctx, [device], [binary]) + #prg = prg.build() + #diff_knl = prg.diff + + events = [] + for i in range(2): + if OPENCL: + #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) + #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32), + # None) + evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, + mat3=A_dev3, vec=X_dev) + events.append(evt) + elif CUDA: + diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, + block=(yblk, xblk, 1), grid=(ygrid, xgrid)) if OPENCL: - #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) - #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32),None) - evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, mat3=A_dev3, vec=X_dev) - events.append(evt) + cl.wait_for_events(events) elif CUDA: - diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk,xblk,1), grid=(ygrid,xgrid)) - if OPENCL: - cl.wait_for_events(events) - elif CUDA: - pycuda.autoinit.context.synchronize() - - sum_time = 0.0 - events = [] - start = time.time() - for i in range(nruns): + pycuda.autoinit.context.synchronize() + + sum_time = 0.0 + events = [] + start = time.time() + for i in range(nruns): + if OPENCL: + #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) + #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32), + # None) + evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, + mat3=A_dev3, vec=X_dev) + events.append(evt) + elif CUDA: + diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, + block=(yblk, xblk, 1), grid=(ygrid, xgrid)) if OPENCL: - #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) - #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32),None) - evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, mat3=A_dev3, vec=X_dev) - events.append(evt) + cl.wait_for_events(events) elif CUDA: - diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk,xblk,1), grid=(ygrid,xgrid)) - if OPENCL: - cl.wait_for_events(events) - elif CUDA: - pycuda.autoinit.context.synchronize() - - sum_time = time.time() - start - avg_time = sum_time / nruns - - return (B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev), avg_time - -def analyzeResult(n_out, n_in, n_elem, peak_gflops, device_memory_bandwidth, avg_time, fp_bytes=4): - - flops = 3*2*(n_out * n_in * n_elem) - gflop_rate = (flops / avg_time) * 1e-9 - #peak_gflop_rate = 12288 - #peak_gflop_rate = 368 # (8 flops / cycle) * 2.3 Hertz * 20 cores - frac_peak_gflops = gflop_rate / peak_gflops - print("GFLOP/s: " + str(gflop_rate)) - print("Peak GFLOP/s: " + str(peak_gflops)) - print("Percent peak: " + str(100*(frac_peak_gflops))) - print() - - # Calculate bandwidth - # Assumes each element only read once - ideal_total_bytes_transferred = fp_bytes*(3*(n_out * n_elem) + (n_in * n_elem) + 3*(n_out * n_in)) - GBps = (ideal_total_bytes_transferred / avg_time) / 1e9 - frac_peak_GBps = GBps / device_memory_bandwidth - print("GB/s: " + str(GBps)) - print("Peak GB/s: " + str(device_memory_bandwidth)) - print("Percent peak: " + str(100*(frac_peak_GBps))) - print() - return frac_peak_gflops, frac_peak_GBps + pycuda.autoinit.context.synchronize() + + sum_time = time.time() - start + avg_time = sum_time / nruns + + return (B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev), avg_time + + +def analyzeResult(n_out, n_in, n_elem, peak_gflops, device_memory_bandwidth, + avg_time, fp_bytes=4): + + flops = 3*2*(n_out * n_in * n_elem) + gflop_rate = (flops / avg_time) * 1e-9 + #peak_gflop_rate = 12288 + #peak_gflop_rate = 368 # (8 flops / cycle) * 2.3 Hertz * 20 cores + frac_peak_gflops = gflop_rate / peak_gflops + print("GFLOP/s: " + str(gflop_rate)) + print("Peak GFLOP/s: " + str(peak_gflops)) + print("Percent peak: " + str(100*(frac_peak_gflops))) + print() + + # Calculate bandwidth + # Assumes each element only read once + ideal_total_bytes_transferred = fp_bytes*(3*(n_out * n_elem) + (n_in * n_elem) + + 3*(n_out * n_in)) + GBps = (ideal_total_bytes_transferred / avg_time) / 1e9 + frac_peak_GBps = GBps / device_memory_bandwidth + print("GB/s: " + str(GBps)) + print("Peak GB/s: " + str(device_memory_bandwidth)) + print("Percent peak: " + str(100*(frac_peak_GBps))) + print() + return frac_peak_gflops, frac_peak_GBps + def verifyResult(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev): - A_host1 = A_dev1.get() - A_host2 = A_dev2.get() - A_host3 = A_dev3.get() - X_host = X_dev.get() - B_host1 = B_dev1.get() - B_host2 = B_dev2.get() - B_host3 = B_dev3.get() - np.set_printoptions(threshold=sys.maxsize) - errMat = ((A_host1 @ X_host) - B_host1) / np.linalg.norm(A_host1 @ X_host) - print("Fraction Nonzero: "+ str(np.count_nonzero(errMat)/(n_out*n_elem))) - print("Norm1: " + str(np.linalg.norm((A_host1 @ X_host) - B_host1) / np.linalg.norm(A_host1 @ X_host) )) - print("Norm2: " + str(np.linalg.norm((A_host2 @ X_host) - B_host2) / np.linalg.norm(A_host2 @ X_host) )) - print("Norm3: " + str(np.linalg.norm((A_host3 @ X_host) - B_host3) / np.linalg.norm(A_host3 @ X_host) )) + A_host1 = A_dev1.get() + A_host2 = A_dev2.get() + A_host3 = A_dev3.get() + X_host = X_dev.get() + B_host1 = B_dev1.get() + B_host2 = B_dev2.get() + B_host3 = B_dev3.get() + np.set_printoptions(threshold=sys.maxsize) + errMat = ((A_host1 @ X_host) - B_host1) / np.linalg.norm(A_host1 @ X_host) + print("Fraction Nonzero: " + str(np.count_nonzero(errMat)/(n_out*n_elem))) + print("Norm1: " + str(np.linalg.norm((A_host1 @ X_host) - B_host1) + / np.linalg.norm(A_host1 @ X_host))) + print("Norm2: " + str(np.linalg.norm((A_host2 @ X_host) - B_host2) + / np.linalg.norm(A_host2 @ X_host))) + print("Norm3: " + str(np.linalg.norm((A_host3 @ X_host) - B_host3) + / np.linalg.norm(A_host3 @ X_host))) + def verifyResultFortran(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev): - A_host1 = A_dev1.get() - A_host2 = A_dev2.get() - A_host3 = A_dev3.get() - X_host = X_dev.get().T - B_host1 = B_dev1.get() - B_host2 = B_dev2.get() - B_host3 = B_dev3.get() - np.set_printoptions(threshold=sys.maxsize) - errMat = ((A_host1 @ X_host).T - B_host1) / np.linalg.norm(A_host1 @ X_host) - print("Fraction Nonzero: "+ str(np.count_nonzero(errMat)/(n_out*n_elem))) - print("Norm1: " + str(np.linalg.norm((A_host1 @ X_host).T - B_host1) / np.linalg.norm(A_host1 @ X_host) )) - print("Norm2: " + str(np.linalg.norm((A_host2 @ X_host).T - B_host2) / np.linalg.norm(A_host2 @ X_host) )) - print("Norm3: " + str(np.linalg.norm((A_host3 @ X_host).T - B_host3) / np.linalg.norm(A_host3 @ X_host) )) + A_host1 = A_dev1.get() + A_host2 = A_dev2.get() + A_host3 = A_dev3.get() + X_host = X_dev.get().T + B_host1 = B_dev1.get() + B_host2 = B_dev2.get() + B_host3 = B_dev3.get() + np.set_printoptions(threshold=sys.maxsize) + errMat = ((A_host1 @ X_host).T - B_host1) / np.linalg.norm(A_host1 @ X_host) + print("Fraction Nonzero: " + str(np.count_nonzero(errMat)/(n_out*n_elem))) + print("Norm1: " + str(np.linalg.norm((A_host1 @ X_host).T - B_host1) + / np.linalg.norm(A_host1 @ X_host))) + print("Norm2: " + str(np.linalg.norm((A_host2 @ X_host).T - B_host2) + / np.linalg.norm(A_host2 @ X_host))) + print("Norm3: " + str(np.linalg.norm((A_host3 @ X_host).T - B_host3) + / np.linalg.norm(A_host3 @ X_host))) + def k_inner_inner_options(reverse=True): - return sorted([8,16,32], reverse=reverse) + return sorted([8, 16, 32], reverse=reverse) + + +def k_inner_outer_options(n_in, k_inner_inner, sm_size, + fp_bytes=4, reverse=False): + # Possibilities limited by size of global memory + options = np.arange(1, (sm_size // (fp_bytes*k_inner_inner*n_in)) + 1) + #Arbitrarily limit to at max 12 inline to limit search space + options = k_inner_inner*options[options <= 12] + return sorted(options, reverse=reverse) -def k_inner_outer_options(n_in, k_inner_inner, sm_size, fp_bytes=4,reverse=False): - # Possibilities limited by size of global memory - options = np.arange(1, (sm_size // (fp_bytes*k_inner_inner*n_in)) + 1) - #Arbitrarily limit to at max 12 inline to limit search space - options = k_inner_inner*options[options <= 12] - return sorted(options, reverse=reverse) def i_inner_inner_options(n_out, k_inner_inner, max_workitems=1024, reverse=True): - factors = np.arange(2,n_out+1)[(n_out % np.arange(2,n_out+1)) == 0] - # Ensure total number of workitems is less than maximum - usable_factors = factors[factors*k_inner_inner <= max_workitems] - return sorted(usable_factors, reverse=reverse) + factors = np.arange(2, n_out+1)[(n_out % np.arange(2, n_out+1)) == 0] + # Ensure total number of workitems is less than maximum + usable_factors = factors[factors*k_inner_inner <= max_workitems] + return sorted(usable_factors, reverse=reverse) + def i_inner_outer_options(n_out, i_inner_inner, reverse=False): - # Select a number of inline blocks such that n_out % outer*inner == 0 - inline = np.arange(1, (n_out // i_inner_inner) + 1) - options = i_inner_inner*inline[n_out % (inline*i_inner_inner) == 0] - return sorted(options, reverse=reverse) - -def j_inner_options(n_in,reverse=False): - factors = list(np.arange(1,n_in + 1)[(n_in % np.arange(1,n_in + 1)) == 0]) - return sorted(factors, reverse=reverse) - -def exhaustiveSearch(n_in, n_out, n_elem, sm_size,time_limit=float('inf'), fp_bytes=4, max_gflops=None, device_memory_bandwidth=None, max_workitems=1024, gflops_cutoff=.95, bandwidth_cutoff=0.95): - k_inner_inner_opt = k_inner_inner_options() - j_inner_opt = j_inner_options(n_in) - start = time.time() - - avg_time_saved = float("inf") - result_saved = None - for kii in k_inner_inner_opt: - for kio in k_inner_outer_options(n_in, kii, sm_size, fp_bytes=fp_bytes): - for iii in i_inner_inner_options(n_out, kii, max_workitems=max_workitems): - for iio in i_inner_outer_options(n_out, iii): - for ji in j_inner_opt: - dev_arrays, avg_time = runTest(int(n_elem), int(n_in), int(n_out), int(kio), int(kii), int(iio), int(iii), int(ji)) - if not max_gflops == None and not device_memory_bandwidth == None: - frac_peak_gflops, frac_peak_GBps = analyzeResult(n_out, n_in, n_elem, max_gflops, device_memory_bandwidth, avg_time) - if frac_peak_gflops >= gflops_cutoff or frac_peak_GBps >= bandwidth_cutoff: - # Should validate result here - print("Performance is within tolerance of peak bandwith or flop rate. Terminating search") - return (kio, kii, iio, iii, ji) + # Select a number of inline blocks such that n_out % outer*inner == 0 + inline = np.arange(1, (n_out // i_inner_inner) + 1) + options = i_inner_inner*inline[n_out % (inline*i_inner_inner) == 0] + return sorted(options, reverse=reverse) + + +def j_inner_options(n_in, reverse=False): + factors = list(np.arange(1, n_in + 1)[(n_in % np.arange(1, n_in + 1)) == 0]) + return sorted(factors, reverse=reverse) + + +def exhaustiveSearch(n_in, n_out, n_elem, sm_size, time_limit=float('inf'), + fp_bytes=4, max_gflops=None, device_memory_bandwidth=None, + max_workitems=1024, gflops_cutoff=.95, + bandwidth_cutoff=0.95): + k_inner_inner_opt = k_inner_inner_options() + j_inner_opt = j_inner_options(n_in) + start = time.time() + + avg_time_saved = float("inf") + result_saved = None + for kii in k_inner_inner_opt: + for kio in k_inner_outer_options(n_in, kii, sm_size, fp_bytes=fp_bytes): + for iii in i_inner_inner_options(n_out, kii, + max_workitems=max_workitems): + for iio in i_inner_outer_options(n_out, iii): + for ji in j_inner_opt: + dev_arrays, avg_time = runTest(int(n_elem), int(n_in), + int(n_out), int(kio), int(kii), int(iio), int(iii), + int(ji)) + if max_gflops is not None and device_memory_bandwidth is not None: # noqa + frac_peak_gflops, frac_peak_GBps = analyzeResult(n_out, + n_in, n_elem, max_gflops, device_memory_bandwidth, + avg_time) + if frac_peak_gflops >= gflops_cutoff or frac_peak_GBps >= bandwidth_cutoff: # noqa + # Should validate result here + print("Performance is within tolerance of peak bandwith or flop rate. Terminating search") # noqa + return (kio, kii, iio, iii, ji) + if avg_time < avg_time_saved: + avg_time_saved = avg_time + result_saved = (kio, kii, iio, iii, ji) + if time.time() - start > time_limit: + return result_saved + return result_saved + + +def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float('inf'), fp_bytes=4, + max_gflops=None, device_memory_bandwidth=None, + max_workitems=1024, gflops_cutoff=.95, bandwidth_cutoff=0.95): + from random import choice + avg_time_saved = float("inf") + result_saved = None + start = time.time() + + k_inner_inner_opt = k_inner_inner_options() + j_inner_opt = j_inner_options(n_in) + + tested = [] + # Assuming time is in milliseconds + while(time.time() - start < time_limit): + # Can be more intelligent by ensuring choices are not run multiple times + kii = choice(k_inner_inner_opt) + kio = choice(k_inner_outer_options(n_in, kii, sm_size, fp_bytes=fp_bytes)) + iii = choice(i_inner_inner_options(n_out, kii, max_workitems=max_workitems)) + iio = choice(i_inner_outer_options(n_out, iii)) + ji = choice(j_inner_opt) + choices = (kio, kii, iio, iii, ji) + if choices not in tested: + print(choices) + dev_arrays, avg_time = runTest(int(n_elem), int(n_in), int(n_out), + int(kio), int(kii), int(iio), int(iii), int(ji)) + tested.append(choices) + if max_gflops is not None and device_memory_bandwidth is not None: + frac_peak_gflops, frac_peak_GBps = analyzeResult(n_out, n_in, n_elem, + max_gflops, device_memory_bandwidth, avg_time) + if frac_peak_gflops >= gflops_cutoff or frac_peak_GBps >= bandwidth_cutoff: # noqa + # Should validate result here + print("Performance is within tolerance of peak bandwith or flop rate. Terminating search") # noqa + return (kio, kii, iio, iii, ji) if avg_time < avg_time_saved: - avg_time_saved = avg_time - result_saved = (kio, kii, iio, iii, ji) - if time.time() - start > time_limit: - return result_saved - return result_saved - -def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float('inf'), fp_bytes=4, max_gflops=None, device_memory_bandwidth=None, max_workitems=1024, gflops_cutoff=.95, bandwidth_cutoff=0.95): - from random import choice - avg_time_saved = float("inf") - result_saved=None - start = time.time() - - k_inner_inner_opt = k_inner_inner_options() - j_inner_opt = j_inner_options(n_in) - - tested = [] - # Assuming time is in milliseconds - while(time.time() - start < time_limit): - # Can be more intelligent by ensuring choices are not run multiple times - kii = choice(k_inner_inner_opt) - kio = choice(k_inner_outer_options(n_in, kii, sm_size, fp_bytes=fp_bytes)) - iii = choice(i_inner_inner_options(n_out, kii, max_workitems=max_workitems)) - iio = choice(i_inner_outer_options(n_out, iii)) - ji = choice(j_inner_opt) - choices = (kio, kii, iio, iii, ji) - if not choices in tested: - print(choices) - dev_arrays, avg_time = runTest(int(n_elem), int(n_in), int(n_out), int(kio), int(kii), int(iio), int(iii), int(ji)) - tested.append(choices) - if not max_gflops == None and not device_memory_bandwidth == None: - frac_peak_gflops, frac_peak_GBps = analyzeResult(n_out, n_in, n_elem, max_gflops, device_memory_bandwidth, avg_time) - if frac_peak_gflops >= gflops_cutoff or frac_peak_GBps >= bandwidth_cutoff: - # Should validate result here - print("Performance is within tolerance of peak bandwith or flop rate. Terminating search") - return (kio, kii, iio, iii, ji) - if avg_time < avg_time_saved: - avg_time_saved = avg_time - result_saved = (kio, kii, iio, iii, ji) - - print("Time limit exceeded: returning current best result") - return result_saved + avg_time_saved = avg_time + result_saved = (kio, kii, iio, iii, ji) + + print("Time limit exceeded: returning current best result") + return result_saved # Testing code file_name = "transform.hjson" device_id = "NVIDIA Titan V" -fp_format=np.complex128 -fp_format_dict = {np.float32: (4, "FP32"), np.float64: (8, "FP64"), np.complex128: (16, "C128")} -fp_bytes, fp_string = (8, "FP64") if fp_format==np.float64 else (4, "FP32") - - +fp_format = np.complex128 +fp_format_dict = {np.float32: (4, "FP32"), np.float64: (8, "FP64"), + np.complex128: (16, "C128")} +fp_bytes, fp_string = (8, "FP64") if fp_format == np.float64 else (4, "FP32") toTest = True - if toTest: n_elem = 2**21 pn = 2 print(len(equidistant_nodes(pn, 3)[1])) - n_out = len(equidistant_nodes(pn, 3)[1]) + n_out = len(equidistant_nodes(pn, 3)[1]) n_in = len(equidistant_nodes(pn, 3)[1]) - #settings = exhaustiveSearch(n_in, n_out, n_elem, 4*12*1024, fp_bytes=fp_bytes, max_gflops=12288, device_memory_bandwidth=540) - settings = randomSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180, fp_bytes=fp_bytes, max_gflops=12288, device_memory_bandwidth=540) - #settings = noSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180, fp_bytes=fp_bytes, max_gflops=12288, device_memory_bandwidth=540) + #settings = exhaustiveSearch(n_in, n_out, n_elem, 4*12*1024, fp_bytes=fp_bytes, + # max_gflops=12288, device_memory_bandwidth=540) + settings = randomSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180, + fp_bytes=fp_bytes, max_gflops=12288, device_memory_bandwidth=540) + #settings = noSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180, + # fp_bytes=fp_bytes, max_gflops=12288, + # device_memory_bandwidth=540) print("FINAL RESULTS") print(settings) # Add functionality to write transformations to file @@ -413,4 +465,3 @@ def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float('inf'), fp_bytes # dev_arrays, avg_time = runTest(n_elem, n_in, n_out, kio, kii, iio, iii, ji) # analyzeResult(n_out, n_in, n_elem, 12288, 540, avg_time) # verifyResult(*dev_arrays) - diff --git a/grudge/version.py b/grudge/version.py index 1da70a1e0..5cea8857d 100644 --- a/grudge/version.py +++ b/grudge/version.py @@ -1,2 +1,2 @@ -VERSION = (2015, 1) +VERSION = (2020, 1) VERSION_TEXT = ".".join(str(i) for i in VERSION) From 3e4a8a7444ae898fc29f21b175640cfece20b37f Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 22 Dec 2020 04:43:01 -0600 Subject: [PATCH 020/253] remove single quotes --- grudge/grudge_array_context.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index 867fd9730..e8b6d3cef 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -21,11 +21,11 @@ class GrudgeArrayContext(PyOpenCLArrayContext): def empty(self, shape, dtype): return cla.empty(self.queue, shape=shape, dtype=dtype, - allocator=self.allocator, order='F') + allocator=self.allocator, order="F") def zeros(self, shape, dtype): return cla.zeros(self.queue, shape=shape, dtype=dtype, - allocator=self.allocator, order='F') + allocator=self.allocator, order="F") #@memoize_method def _get_scalar_func_loopy_program(self, name, nargs, naxes): From fdd0f92c19b6917b792a150f65d41ba46d697b54 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 22 Dec 2020 04:44:16 -0600 Subject: [PATCH 021/253] remove uppercase --- grudge/grudge_array_context.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index e8b6d3cef..65d2f7a75 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -64,7 +64,7 @@ def transform_loopy_program(self, program): # don't hardcode path to transform.hjson. # Also get pn from program hjson_file = pkg_resources.open_text(dgk, "transform.hjson") - deviceID = "NVIDIA Titan V" + device_id = "NVIDIA Titan V" pn = -1 fp_format = None @@ -90,7 +90,7 @@ def transform_loopy_program(self, program): #exit() transformations = dgk.loadTransformationsFromFile(hjson_file, - deviceID, pn, fp_format=fp_format) + device_id, pn, fp_format=fp_format) program = dgk.applyTransformationList(program, transformations) else: program = super().transform_loopy_program(program) From d39a968f63bc2ca0399d2d573ff5b92271b89162 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Thu, 24 Dec 2020 22:03:48 -0600 Subject: [PATCH 022/253] fix flake8 in wave-eager.py --- examples/wave/wave-eager.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/wave/wave-eager.py b/examples/wave/wave-eager.py index 4a7c00dea..5c2f1d7fb 100644 --- a/examples/wave/wave-eager.py +++ b/examples/wave/wave-eager.py @@ -83,7 +83,7 @@ def wave_operator(discr, c, w): )) ) -# }}} +# }}} def rk4_step(y, t, h, f): @@ -115,7 +115,7 @@ def bump(actx, discr, t=0): def main(): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = GrudgeArrayContext(queue)#PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) # PyOpenCLArrayContext(queue) dim = 3 nel_1d = 16 From e372dfb64522bc0b2e315390e0dcfee05aa15e2c Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Thu, 24 Dec 2020 22:10:44 -0600 Subject: [PATCH 023/253] __init__.py and compiler.py flake8 fixes --- grudge/loopy_dg_kernels/__init__.py | 20 ++++++++++---------- grudge/symbolic/compiler.py | 1 + 2 files changed, 11 insertions(+), 10 deletions(-) diff --git a/grudge/loopy_dg_kernels/__init__.py b/grudge/loopy_dg_kernels/__init__.py index f7deb9077..7d9c593ce 100644 --- a/grudge/loopy_dg_kernels/__init__.py +++ b/grudge/loopy_dg_kernels/__init__.py @@ -227,17 +227,17 @@ def gen_diff_knl(n_elem, n_in, n_out, k_inner_outer,k_inner_inner,i_inner_outer, ''' -def loadTransformationsFromFile(hjson_file, device_id, pn, fp_format=np.float32): +def load_transformations_from_file(hjson_file, device_id, pn, fp_format=np.float32): hjson_text = hjson_file.read() od = hjson.loads(hjson_text) - transformID = od["devices"][device_id] + transform_id = od["devices"][device_id] fp_string = "FP64" if fp_format == np.float64 else "FP32" hjson_file.close() - transformations = od["transformations"][transformID][fp_string][str(pn)] + transformations = od["transformations"][transform_id][fp_string][str(pn)] return transformations -def generateTransformationListOld(k_inner_outer, k_inner_inner, i_inner_outer, +def generate_transformation_list_old(k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner): transformations = [] # transformation name, list of args, dict of keyward args @@ -262,7 +262,7 @@ def generateTransformationListOld(k_inner_outer, k_inner_inner, i_inner_outer, return transformations -def generateTransformationList(k_inner_outer, k_inner_inner, i_inner_outer, +def generate_transformation_list(k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner): transformations = [] # transformation name, list of args, dict of keyward args @@ -286,8 +286,8 @@ def generateTransformationList(k_inner_outer, k_inner_inner, i_inner_outer, return transformations -def applyTransformationList(knl, transformations): - functionMapping = {"split_iname": lp.split_iname, +def apply_transformation_list(knl, transformations): + function_mapping = {"split_iname": lp.split_iname, "add_prefetch": lp.add_prefetch, "prioritize_loops": lp.prioritize_loops, "rename_iname": lp.rename_iname, @@ -298,7 +298,7 @@ def applyTransformationList(knl, transformations): # Maybe can do this based on tranformation name, loop variable, and loop variable # bounds for t in transformations: - func = functionMapping[t[0]] + func = function_mapping[t[0]] args = [knl] + t[1] kwargs = t[2] if len(t) > 2 else {} #print(t) @@ -307,7 +307,7 @@ def applyTransformationList(knl, transformations): return knl #knl = gen_diff_knl_fortran2(3, 128, 10, 10) -#trans = generateTransformationList(64, 32, 10, 10, 10) -#knl = applyTransformationList(knl, trans) +#trans = generate_transformation_list(64, 32, 10, 10, 10) +#knl = apply_transformation_list(knl, trans) #code = lp.generate_code_v2(knl).device_code() #print(code) diff --git a/grudge/symbolic/compiler.py b/grudge/symbolic/compiler.py index 4f2fa835a..4c99cc77b 100644 --- a/grudge/symbolic/compiler.py +++ b/grudge/symbolic/compiler.py @@ -37,6 +37,7 @@ # {{{ instructions + class Instruction(Record): priority = 0 neglect_for_dofdesc_inference = False From f58ea88c1e1db4dcd1c893dffdeba65ce9a37560 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Thu, 24 Dec 2020 22:13:37 -0600 Subject: [PATCH 024/253] roofline_plotting.py --- grudge/loopy_dg_kernels/roofline_plotting.py | 24 ++++++++++---------- 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/grudge/loopy_dg_kernels/roofline_plotting.py b/grudge/loopy_dg_kernels/roofline_plotting.py index ff1bbfae1..f17843cd1 100644 --- a/grudge/loopy_dg_kernels/roofline_plotting.py +++ b/grudge/loopy_dg_kernels/roofline_plotting.py @@ -20,9 +20,9 @@ fig = plt.figure() ax = fig.add_subplot(111) ax.loglog(flops_per_byte_accessed, max_flops_g_unboosted_data, - label='Device memory roofline') + label="Device memory roofline") ax.loglog(flops_per_byte_accessed, max_flops_l1_unboosted_data, - label='L1 cache/Local memory roofline') + label="L1 cache/Local memory roofline") theoretical_x_1 = 3*2*np.array([10, 20, 35, 56, 85, 120]) \ / (4 + 12) # Assumes one read and three stores @@ -46,20 +46,20 @@ print(theoretical_x_4) print(theoretical_y_4) -pn_labels = ['2', '3', '4', '5', '6', '7'] +pn_labels = ["2", "3", "4", "5", "6", "7"] plt.title("Grudge elementwise differentiation kernel: FP32") -ax.loglog(theoretical_x_1, theoretical_y_1, 'sy', - label='4 device memory accesses model (3 writes, 1 read)', markersize=8) -ax.loglog(theoretical_x_4, theoretical_y_4, 'ob', - label='7 device memory accesses model, (3 writes, 4 reads)') -#plt.loglog(theoretical_x_7, theoretical_y_7,'oy', label='13 accesses model') -ax.loglog(theoretical_x_1, empirical_y, '.r', - label='Experimental results assuming 4 accesses') +ax.loglog(theoretical_x_1, theoretical_y_1, "sy", + label="4 device memory accesses model (3 writes, 1 read)", markersize=8) +ax.loglog(theoretical_x_4, theoretical_y_4, "ob", + label="7 device memory accesses model, (3 writes, 4 reads)") +#plt.loglog(theoretical_x_7, theoretical_y_7,"oy", label="13 accesses model") +ax.loglog(theoretical_x_1, empirical_y, ".r", + label="Experimental results assuming 4 accesses") for i in range(6): ax.annotate(pn_labels[i], x=(theoretical_x_1[i], empirical_y[i])) -ax.loglog(theoretical_x_4, empirical_y, '.g', - label='Experimental results assuming 7 accesses') +ax.loglog(theoretical_x_4, empirical_y, ".g", + label="Experimental results assuming 7 accesses") for i in range(6): ax.annotate(pn_labels[i], xy=(theoretical_x_4[i], empirical_y[i])) plt.ylabel("GFLOP/s") From 94310a9286c32ce56565b8b3d276920c6915aad7 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Thu, 24 Dec 2020 22:23:07 -0600 Subject: [PATCH 025/253] ignore some flake8 errors --- grudge/loopy_dg_kernels/run_tests.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index a5bf08188..4122d9904 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -1,3 +1,5 @@ + # flake8: noqa N806, N802, N803 + import numpy as np import pyopencl as cl From c8c99b6014cf4d42e39c4201e489072494a3b0e0 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Thu, 24 Dec 2020 22:28:25 -0600 Subject: [PATCH 026/253] ignore in config file instead --- grudge/loopy_dg_kernels/run_tests.py | 2 -- setup.cfg | 2 ++ 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index 4122d9904..a5bf08188 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -1,5 +1,3 @@ - # flake8: noqa N806, N802, N803 - import numpy as np import pyopencl as cl diff --git a/setup.cfg b/setup.cfg index e8791cc48..6f35d27cc 100644 --- a/setup.cfg +++ b/setup.cfg @@ -14,6 +14,8 @@ inline-quotes = " docstring-quotes = """ multiline-quotes = """ +per-file-ignores = + grudge/loopy_dg_kernels/run_tests.py:N806, N803, N802 [mypy] ignore_missing_imports = True From ea2129c5ba00c2b6a0da002936b9598dbbbce5d9 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Thu, 24 Dec 2020 22:30:59 -0600 Subject: [PATCH 027/253] Q000, N816 --- grudge/loopy_dg_kernels/run_tests.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index a5bf08188..eb299187e 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -76,7 +76,7 @@ def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_ou #prog = cl.Program(ctx, code) #prog = prog.build() #ptx = prog.get_info(cl.program_info.BINARIES)[0]#.decode( - #errors='ignore') #Breaks pocl + #errors="ignore") #Breaks pocl #dammit = UnicodeDammit(ptx) #print(dammit.unicode_markup) @@ -194,7 +194,7 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, #prog = cl.Program(ctx, code) #prog = prog.build() # Breaks pocl - #ptx = prog.get_info(cl.program_info.BINARIES)[0]#.decode(errors='ignore') + #ptx = prog.get_info(cl.program_info.BINARIES)[0]#.decode(errors="ignore") #dammit = UnicodeDammit(ptx) #print(dammit.unicode_markup) @@ -358,7 +358,7 @@ def j_inner_options(n_in, reverse=False): return sorted(factors, reverse=reverse) -def exhaustiveSearch(n_in, n_out, n_elem, sm_size, time_limit=float('inf'), +def exhaustiveSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), fp_bytes=4, max_gflops=None, device_memory_bandwidth=None, max_workitems=1024, gflops_cutoff=.95, bandwidth_cutoff=0.95): @@ -393,7 +393,7 @@ def exhaustiveSearch(n_in, n_out, n_elem, sm_size, time_limit=float('inf'), return result_saved -def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float('inf'), fp_bytes=4, +def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), fp_bytes=4, max_gflops=None, device_memory_bandwidth=None, max_workitems=1024, gflops_cutoff=.95, bandwidth_cutoff=0.95): from random import choice @@ -442,8 +442,8 @@ def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float('inf'), fp_bytes np.complex128: (16, "C128")} fp_bytes, fp_string = (8, "FP64") if fp_format == np.float64 else (4, "FP32") -toTest = True -if toTest: +to_test = True +if to_test: n_elem = 2**21 pn = 2 print(len(equidistant_nodes(pn, 3)[1])) From 4b9a1bc38c3a73a5672052728d75e5468a79ffb8 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 5 Jan 2021 14:17:04 -0600 Subject: [PATCH 028/253] push grudge progress --- grudge/execution.py | 39 +++++++---- grudge/grudge_array_context.py | 93 +++++++++++++++++++++---- grudge/loopy_dg_kernels/__init__.py | 48 +++++++------ grudge/loopy_dg_kernels/run_tests.py | 68 +++++++++--------- grudge/loopy_dg_kernels/transform.hjson | 10 ++- grudge/symbolic/compiler.py | 4 +- 6 files changed, 171 insertions(+), 91 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index 68f239857..80621fd6b 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -32,14 +32,14 @@ import pyopencl as cl import pyopencl.array # noqa -from meshmode.dof_array import DOFArray, thaw, flatten, unflatten, DOFTag -from meshmode.array_context import ArrayContext, make_loopy_program +from meshmode.dof_array import DOFArray, thaw, flatten, unflatten +from meshmode.array_context import ArrayContext, make_loopy_program, IsDOFArray import grudge.symbolic.mappers as mappers from grudge import sym from grudge.function_registry import base_function_registry -import loopy_dg_kernels as dgk +import grudge.loopy_dg_kernels as dgk import logging logger = logging.getLogger(__name__) @@ -51,20 +51,24 @@ ResultType = Union[DOFArray, Number] -# {{{ exec mapper +class VecIsDOFArray(Tag): + pass -class VecDOFTag(Tag): + +class FaceIsDOFArray(Tag): pass -class FaceDOFTag(Tag): +class VecOpIsDOFArray(Tag): pass -class VecOpDOFTag(Tag): +class IsOpArray(Tag): pass +# {{{ exec mapper + class ExecutionMapper(mappers.Evaluator, mappers.BoundOpMapperMixin, mappers.LocalOpReducerMixin): @@ -137,9 +141,15 @@ def prg(): """ result[iel, idof] = %s(jdof, operand[iel, jdof]) """ % op_name, + kernel_data=[ + lp.GlobalArg("result", None, shape=lp.auto, tags=IsDOFArray()), + lp.GlobalArg("operand", None, shape=lp.auto, tags=IsOpArray()), + ... + ], name="grudge_elementwise_%s" % op_name) field = self.rec(field_expr) + discr = self.discrwb.discr_from_dd(dd) assert field.shape == (len(discr.groups),) @@ -287,8 +297,8 @@ def prg(): 0<=j" % + (self.device.name.strip(), + self.device.platform.name.strip())) + + import pyopencl.tools as cl_tools + arg_names = cl_tools.get_pyopencl_fixture_arg_names( + metafunc, extra_arg_names=["actx_factory"]) + + if not arg_names: + return + + arg_values, ids = cl_tools.get_pyopencl_fixture_arg_values() + if "actx_factory" in arg_names: + if "ctx_factory" in arg_names or "ctx_getter" in arg_names: + raise RuntimeError("Cannot use both an 'actx_factory' and a " + "'ctx_factory' / 'ctx_getter' as arguments.") + + for arg_dict in arg_values: + arg_dict["actx_factory"] = ArrayContextFactory(arg_dict["device"]) + + arg_values = [ + tuple(arg_dict[name] for name in arg_names) + for arg_dict in arg_values + ] + + metafunc.parametrize(arg_names, arg_values, ids=ids) + +# }}} + + +# vim: foldmethod=marker diff --git a/grudge/loopy_dg_kernels/__init__.py b/grudge/loopy_dg_kernels/__init__.py index 7d9c593ce..c677b9bb4 100644 --- a/grudge/loopy_dg_kernels/__init__.py +++ b/grudge/loopy_dg_kernels/__init__.py @@ -110,32 +110,26 @@ def gen_diff_knl_fortran(n_elem, n_in, n_out, fp_format=np.float32, options=None return knl -def gen_diff_knl(n_elem, n_in, n_out, fp_format=np.float32, options=None): +def gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format=np.float32, options=None): + print(fp_format) knl = lp.make_kernel( - """{[k,i,j]: + """{[m,k,i,j]: 0<=k 0 \ + and nmatrices > 0", options=options, name="opt_diff" ) + knl = lp.tag_array_axes(knl, "diff_mat", "sep,c,c") + knl = lp.tag_array_axes(knl, "result", "sep,c,c") + knl = lp.tag_array_axes(knl, "vec", "c,c") + + knl = lp.fix_parameters(knl, nmatrices=n_mat, nelements=n_elem, + ndiscr_nodes_in=n_in, ndiscr_nodes_out=n_out) - knl = lp.fix_parameters(knl, nelements=n_elem, ndiscr_nodes_in=n_in, - ndiscr_nodes_out=n_out) #mat_string = ["result1", "result2", "result3", "vec"] #for i in range(len(mat_string)): # knl = lp.tag_array_axes(knl, mat_string, "stride:auto,stride:auto") @@ -197,7 +196,7 @@ def gen_diff_knl(n_elem, n_in, n_out, k_inner_outer,k_inner_inner,i_inner_outer, and ndiscr_nodes_out > 0 \ and ndiscr_nodes_in > 0", default_offset=None, - name="diff" + name="opt_diff" ) knl = lp.fix_parameters(knl, nelements=n_elem, ndiscr_nodes_in=n_in, @@ -297,7 +296,10 @@ def apply_transformation_list(knl, transformations): # Maybe add some logic to add slabs=(0,0) if n_elem % k_inner_outer == 0 # Maybe can do this based on tranformation name, loop variable, and loop variable # bounds + print(knl) for t in transformations: + print("HERE") + print(t) func = function_mapping[t[0]] args = [knl] + t[1] kwargs = t[2] if len(t) > 2 else {} diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index eb299187e..2e1ef674e 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -29,9 +29,7 @@ import loopy.options loopy.options.ALLOW_TERMINAL_COLORS = False -from loopy_dg_kernels import gen_diff_knl -from loopy_dg_kernels import generateTransformationList -from loopy_dg_kernels import applyTransformationList +from grudge.loopy_dg_kernels import gen_diff_knl, generate_transformation_list, apply_transformation_list def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, @@ -149,14 +147,21 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner, backend="CUDA", fp_format=np.float32, nruns=10): - kern = gen_diff_knl(n_elem, n_in, n_out, fp_format=fp_format) - transformations = generateTransformationList(k_inner_outer, k_inner_inner, + + n_mat = 3 + print(fp_format) + kern = gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format=fp_format) + print(kern) + + transformations = generate_transformation_list(k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner) print(transformations) - kern = applyTransformationList(kern, transformations) + kern = apply_transformation_list(kern, transformations) kern = lp.set_options(kern, "no_numpy") + # For some reason compyte will not install when using local pip + backend="OPENCL" CUDA = backend == "CUDA" OPENCL = not CUDA @@ -169,13 +174,12 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, code = lp.generate_code_v2(kern).device_code() mod = SourceModule(code, keep=True) diff_fn = mod.get_function("diff") - A_dev1 = curand((n_out, n_in), dtype=fp_format, stream=stream) - A_dev2 = curand((n_out, n_in), dtype=fp_format, stream=stream) - A_dev3 = curand((n_out, n_in), dtype=fp_format, stream=stream) + A_dev = curand((n_mat, n_out, n_in), dtype=fp_format, stream=stream) X_dev = curand((n_in, n_elem), dtype=fp_format, stream=stream) - B_dev1 = cuarray.GPUArray((n_out, n_elem), fp_format) - B_dev2 = cuarray.GPUArray((n_out, n_elem), fp_format) - B_dev3 = cuarray.GPUArray((n_out, n_elem), fp_format) + B_dev = cuarray.GPUArray((n_mat, n_out, n_elem), fp_format) + + #for i in range(3): + # B_dev.append(cuarray.GPUArray((n_out, n_elem), fp_format) print(code) elif OPENCL: @@ -202,13 +206,9 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, #A_dev = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) #X_dev = cl.clrandom.rand(queue, (n_elem, n_in), dtype=fp_format) #B_dev = cl.array.Array(queue, (n_elem, n_out), dtype=fp_format) - A_dev1 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - A_dev2 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - A_dev3 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) + A_dev = cl.clrandom.rand(queue, (n_mat, n_out, n_in), dtype=fp_format) X_dev = cl.clrandom.rand(queue, (n_in, n_elem), dtype=fp_format) - B_dev1 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - B_dev2 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - B_dev3 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) + B_dev = cl.array.Array(queue, (n_mat, n_out, n_elem), dtype=fp_format) # Code for running binaries #device = queue.get_info(cl.command_queue_info.DEVICE) #with open("pocl_32x32.ptx","rb") as f: @@ -226,16 +226,15 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32), # None) - evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, - mat3=A_dev3, vec=X_dev) + evt, B_dev = kern(queue, diff_mat=A_dev, vec=X_dev) events.append(evt) elif CUDA: - diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, - block=(yblk, xblk, 1), grid=(ygrid, xgrid)) + diff_fn(B_dev, A_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) if OPENCL: cl.wait_for_events(events) elif CUDA: pycuda.autoinit.context.synchronize() + #exit() sum_time = 0.0 events = [] @@ -245,12 +244,10 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32), # None) - evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, - mat3=A_dev3, vec=X_dev) + evt, B_dev = kern(queue, diff_mat=A_dev, vec=X_dev) events.append(evt) elif CUDA: - diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, - block=(yblk, xblk, 1), grid=(ygrid, xgrid)) + diff_fn(B_dev, A_dev, X_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) if OPENCL: cl.wait_for_events(events) elif CUDA: @@ -259,7 +256,7 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, sum_time = time.time() - start avg_time = sum_time / nruns - return (B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev), avg_time + return (B_dev, A_dev, X_dev), avg_time def analyzeResult(n_out, n_in, n_elem, peak_gflops, device_memory_bandwidth, @@ -393,9 +390,11 @@ def exhaustiveSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), return result_saved -def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), fp_bytes=4, +def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), fp_format=np.float32, max_gflops=None, device_memory_bandwidth=None, max_workitems=1024, gflops_cutoff=.95, bandwidth_cutoff=0.95): + # Should probably make this a function + fp_bytes, fp_string = (8, "FP64") if fp_format == np.float64 else (4, "FP32") from random import choice avg_time_saved = float("inf") result_saved = None @@ -417,7 +416,8 @@ def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), fp_bytes if choices not in tested: print(choices) dev_arrays, avg_time = runTest(int(n_elem), int(n_in), int(n_out), - int(kio), int(kii), int(iio), int(iii), int(ji)) + int(kio), int(kii), int(iio), int(iii), int(ji), fp_format=fp_format) + #exit() tested.append(choices) if max_gflops is not None and device_memory_bandwidth is not None: frac_peak_gflops, frac_peak_GBps = analyzeResult(n_out, n_in, n_elem, @@ -437,23 +437,23 @@ def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), fp_bytes # Testing code file_name = "transform.hjson" device_id = "NVIDIA Titan V" -fp_format = np.complex128 +fp_format = np.float64 fp_format_dict = {np.float32: (4, "FP32"), np.float64: (8, "FP64"), np.complex128: (16, "C128")} fp_bytes, fp_string = (8, "FP64") if fp_format == np.float64 else (4, "FP32") to_test = True if to_test: - n_elem = 2**21 - pn = 2 + n_elem = 2**15#2**21 + pn = 6 print(len(equidistant_nodes(pn, 3)[1])) n_out = len(equidistant_nodes(pn, 3)[1]) n_in = len(equidistant_nodes(pn, 3)[1]) #settings = exhaustiveSearch(n_in, n_out, n_elem, 4*12*1024, fp_bytes=fp_bytes, # max_gflops=12288, device_memory_bandwidth=540) - settings = randomSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180, - fp_bytes=fp_bytes, max_gflops=12288, device_memory_bandwidth=540) + settings = randomSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=60, + fp_format=fp_format, max_gflops=12288//2, device_memory_bandwidth=540) #settings = noSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180, # fp_bytes=fp_bytes, max_gflops=12288, # device_memory_bandwidth=540) diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index 1f002c4ff..63038db91 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -52,7 +52,7 @@ ], 5:[ ["tag_inames", [[["m", "ilp"]]]], - ["split_iname", ["k", 192], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["k", 80], {outer_tag: "g.0", slabs: [0,1]}], ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], ["split_iname", ["i", 56], {outer_tag: "g.1", inner_tag: "l.1"}], ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], @@ -135,18 +135,16 @@ ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], ["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], + ] 6:[ ["tag_inames", [[["m", "ilp"]]]], - ["split_iname", ["k", 128], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["k_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["i", 42], {outer_tag: "g.1"}], ["split_iname", ["i_inner", 14], {outer_tag: "ilp", inner_tag: "l.1"}], ["split_iname", ["j", 14], {outer_tag: "for", inner_tag: "for"}], ["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], - - #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], - #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], ], diff --git a/grudge/symbolic/compiler.py b/grudge/symbolic/compiler.py index 4c99cc77b..cbbc16f3b 100644 --- a/grudge/symbolic/compiler.py +++ b/grudge/symbolic/compiler.py @@ -33,7 +33,7 @@ from sys import intern from functools import reduce from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_2 # noqa: F401 -from meshmode.dof_array import DOFTag +from meshmode.dof_array import IsDOFArray # {{{ instructions @@ -1040,7 +1040,7 @@ def map_insn_assign(self, insn): ) for arg in knl.args: if type(arg) == lp.ArrayArg: - arg.tags = DOFTag() + arg.tags = IsDOFArray() self.insn_count += 1 From 2622f6c8f5db7ec4ea379529dc834c23030ad388 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 02:31:12 -0600 Subject: [PATCH 029/253] flake8 --- grudge/loopy_dg_kernels/__init__.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/grudge/loopy_dg_kernels/__init__.py b/grudge/loopy_dg_kernels/__init__.py index c677b9bb4..c4fcdf884 100644 --- a/grudge/loopy_dg_kernels/__init__.py +++ b/grudge/loopy_dg_kernels/__init__.py @@ -116,7 +116,7 @@ def gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format=np.float32, options=None) """{[m,k,i,j]: 0<=k Date: Mon, 11 Jan 2021 02:36:35 -0600 Subject: [PATCH 030/253] more flake8 --- grudge/execution.py | 3 +-- grudge/grudge_array_context.py | 1 + grudge/loopy_dg_kernels/run_tests.py | 16 +++++++++------- 3 files changed, 11 insertions(+), 9 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index 80621fd6b..fd80b6e0d 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -145,11 +145,10 @@ def prg(): lp.GlobalArg("result", None, shape=lp.auto, tags=IsDOFArray()), lp.GlobalArg("operand", None, shape=lp.auto, tags=IsOpArray()), ... - ], + ], name="grudge_elementwise_%s" % op_name) field = self.rec(field_expr) - discr = self.discrwb.discr_from_dd(dd) assert field.shape == (len(discr.groups),) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index 374aa64e3..104b22709 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -100,6 +100,7 @@ def transform_loopy_program(self, program): return program + # {{{ pytest integration # Should this method just be modified to accept a class _ContextFactory diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index 2e1ef674e..5acab960a 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -29,7 +29,8 @@ import loopy.options loopy.options.ALLOW_TERMINAL_COLORS = False -from grudge.loopy_dg_kernels import gen_diff_knl, generate_transformation_list, apply_transformation_list +from grudge.loopy_dg_kernels import (gen_diff_knl, generate_transformation_list, + apply_transformation_list) def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, @@ -147,7 +148,6 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner, backend="CUDA", fp_format=np.float32, nruns=10): - n_mat = 3 print(fp_format) kern = gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format=fp_format) @@ -161,7 +161,7 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, kern = lp.set_options(kern, "no_numpy") # For some reason compyte will not install when using local pip - backend="OPENCL" + backend = "OPENCL" CUDA = backend == "CUDA" OPENCL = not CUDA @@ -390,7 +390,8 @@ def exhaustiveSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), return result_saved -def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), fp_format=np.float32, +def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), + fp_format=np.float32, max_gflops=None, device_memory_bandwidth=None, max_workitems=1024, gflops_cutoff=.95, bandwidth_cutoff=0.95): # Should probably make this a function @@ -444,7 +445,7 @@ def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), fp_forma to_test = True if to_test: - n_elem = 2**15#2**21 + n_elem = 2**15 # 2**21 pn = 6 print(len(equidistant_nodes(pn, 3)[1])) n_out = len(equidistant_nodes(pn, 3)[1]) @@ -453,8 +454,9 @@ def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), fp_forma #settings = exhaustiveSearch(n_in, n_out, n_elem, 4*12*1024, fp_bytes=fp_bytes, # max_gflops=12288, device_memory_bandwidth=540) settings = randomSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=60, - fp_format=fp_format, max_gflops=12288//2, device_memory_bandwidth=540) - #settings = noSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180, + fp_format=fp_format, max_gflops=12288//2, + device_memory_bandwidth=540) + #settings = noSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180,1 # fp_bytes=fp_bytes, max_gflops=12288, # device_memory_bandwidth=540) print("FINAL RESULTS") From 47b2634cbdc198d87acf8bdb3cf8348ca284d6dd Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 03:14:57 -0600 Subject: [PATCH 031/253] udate requirements --- requirements.txt | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements.txt b/requirements.txt index 6f8c0779c..95e7246ce 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,6 @@ numpy mpi4py -git+https://github.com/nchristensen/pytools.git#egg=pytools == 2020.4.5 +git+https://github.com/inducer/pytools.git#egg=pytools git+https://github.com/inducer/pymbolic.git#egg=pymbolic git+https://github.com/inducer/islpy.git#egg=islpy git+https://github.com/inducer/pyopencl.git#egg=pyopencl diff --git a/setup.py b/setup.py index 96ba931e1..a5605b682 100644 --- a/setup.py +++ b/setup.py @@ -48,7 +48,7 @@ def main(): python_requires="~=3.6", install_requires=[ "pytest>=2.3", - "pytools>=2020.4.5", + "pytools>=2021.1", "modepy>=2013.3", "meshmode>=2020.2", "pyopencl>=2013.1", From a2d1eb44726b904d958d0b8047192fe85b9c7049 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 03:28:07 -0600 Subject: [PATCH 032/253] update requirements --- requirements.txt | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements.txt b/requirements.txt index 95e7246ce..f68b986d8 100644 --- a/requirements.txt +++ b/requirements.txt @@ -4,7 +4,7 @@ git+https://github.com/inducer/pytools.git#egg=pytools git+https://github.com/inducer/pymbolic.git#egg=pymbolic git+https://github.com/inducer/islpy.git#egg=islpy git+https://github.com/inducer/pyopencl.git#egg=pyopencl -git+https://github.com/inducer/loopy.git@revert-172-revert-156-master#egg=loopy == 2020.2.2 +git+https://github.com/inducer/loopy.git@#egg=loopy == 2020.2.2 git+https://github.com/inducer/dagrt.git#egg=dagrt git+https://github.com/inducer/leap.git#egg=leap git+https://github.com/inducer/meshpy.git#egg=meshpy diff --git a/setup.py b/setup.py index a5605b682..1587fbbdf 100644 --- a/setup.py +++ b/setup.py @@ -53,7 +53,7 @@ def main(): "meshmode>=2020.2", "pyopencl>=2013.1", "pymbolic>=2013.2", - "loopy>=2020.2", + "loopy>=2020.2.2", "cgen>=2013.1.2", "leap>=2019.1", "dagrt>=2019.1", From af406afa3b4ae24cca68a42cd249b2a771c3fd01 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 03:31:08 -0600 Subject: [PATCH 033/253] update grudge tests --- test/test_grudge.py | 27 +++++++++++---------------- 1 file changed, 11 insertions(+), 16 deletions(-) diff --git a/test/test_grudge.py b/test/test_grudge.py index 2a6da624d..978972856 100644 --- a/test/test_grudge.py +++ b/test/test_grudge.py @@ -31,17 +31,19 @@ from grudge import sym, bind, DGDiscretizationWithBoundaries import pytest -from meshmode.array_context import ( # noqa - pytest_generate_tests_for_pyopencl_array_context - as pytest_generate_tests) +#from grudge.grudge_array_context import ( # noqa +# pytest_generate_tests_for_grudge_array_context +# as pytest_generate_tests) +from meshmode.array_context import generate_pytest_generate_tests +from grudge.grudge_array_context import GrudgeArrayContext +pytest_generate_tests = generate_pytest_generate_tests(GrudgeArrayContext) + import logging logger = logging.getLogger(__name__) - -# {{{ inverse metric - +# { {{ inverse metric @pytest.mark.parametrize("dim", [2, 3]) def test_inverse_metric(actx_factory, dim): actx = actx_factory() @@ -639,9 +641,7 @@ def f(x): assert eoc_local.max_error() < 1.0e-12 \ or eoc_local.order_estimate() > order - 0.5 -# }}} - - + # }}} # {{{ models: advection @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ @@ -795,9 +795,9 @@ def rhs(t, u): # }}} - # {{{ models: maxwell + @pytest.mark.parametrize("order", [3, 4, 5]) def test_convergence_maxwell(actx_factory, order): """Test whether 3D Maxwell's actually converges""" @@ -869,7 +869,7 @@ def rhs(t, w): # }}} -# {{{ models: variable coefficient advection oversampling + # {{{ models: variable coefficient advection oversampling @pytest.mark.parametrize("order", [2, 3, 4]) def test_improvement_quadrature(actx_factory, order): @@ -940,7 +940,6 @@ def conv_test(descr, use_quad): # }}} - # {{{ operator collector determinism def test_op_collector_order_determinism(): @@ -969,7 +968,6 @@ def map_test_operator(self, expr): # }}} - # {{{ bessel def test_bessel(actx_factory): @@ -1001,7 +999,6 @@ def test_bessel(actx_factory): # }}} - # {{{ function symbol def test_external_call(actx_factory): @@ -1103,7 +1100,6 @@ def test_norm_obj_array(actx_factory, p): # }}} - def test_map_if(actx_factory): """Test :meth:`grudge.symbolic.execution.ExecutionMapper.map_if` handling of scalar conditions. @@ -1121,7 +1117,6 @@ def test_map_if(actx_factory): sym_if = sym.If(sym.Comparison(2.0, "<", 1.0e-14), 1.0, 2.0) bind(discr, sym_if)(actx) - # You can test individual routines by typing # $ python test_grudge.py 'test_routine()' From 6e78e4d13a4171daf8d50ec87183a5d6f4de653b Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 03:34:04 -0600 Subject: [PATCH 034/253] flake8 --- test/test_grudge.py | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/test/test_grudge.py b/test/test_grudge.py index 978972856..93749f46e 100644 --- a/test/test_grudge.py +++ b/test/test_grudge.py @@ -43,7 +43,9 @@ logger = logging.getLogger(__name__) + # { {{ inverse metric + @pytest.mark.parametrize("dim", [2, 3]) def test_inverse_metric(actx_factory, dim): actx = actx_factory() @@ -641,9 +643,10 @@ def f(x): assert eoc_local.max_error() < 1.0e-12 \ or eoc_local.order_estimate() > order - 0.5 - # }}} +# }}} # {{{ models: advection + @pytest.mark.parametrize(("mesh_name", "mesh_pars"), [ ("segment", [8, 16, 32]), ("disk", [0.1, 0.05]), @@ -868,8 +871,8 @@ def rhs(t, w): # }}} +# {{{ models: variable coefficient advection oversampling - # {{{ models: variable coefficient advection oversampling @pytest.mark.parametrize("order", [2, 3, 4]) def test_improvement_quadrature(actx_factory, order): @@ -942,6 +945,7 @@ def conv_test(descr, use_quad): # {{{ operator collector determinism + def test_op_collector_order_determinism(): class TestOperator(sym.Operator): @@ -970,6 +974,7 @@ def map_test_operator(self, expr): # {{{ bessel + def test_bessel(actx_factory): actx = actx_factory() @@ -1001,6 +1006,7 @@ def test_bessel(actx_factory): # {{{ function symbol + def test_external_call(actx_factory): actx = actx_factory() @@ -1100,6 +1106,7 @@ def test_norm_obj_array(actx_factory, p): # }}} + def test_map_if(actx_factory): """Test :meth:`grudge.symbolic.execution.ExecutionMapper.map_if` handling of scalar conditions. @@ -1120,6 +1127,7 @@ def test_map_if(actx_factory): # You can test individual routines by typing # $ python test_grudge.py 'test_routine()' + if __name__ == "__main__": import sys if len(sys.argv) > 1: From ae120153fb4f5d7b754db2db3aedff1ecfc61ec0 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 03:59:44 -0600 Subject: [PATCH 035/253] push changes --- grudge/loopy_dg_kernels/transform.hjson | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index 63038db91..c7b1b1a75 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -52,11 +52,11 @@ ], 5:[ ["tag_inames", [[["m", "ilp"]]]], - ["split_iname", ["k", 80], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["k", 192], {outer_tag: "g.0", slabs: [0,1]}], ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], ["split_iname", ["i", 56], {outer_tag: "g.1", inner_tag: "l.1"}], ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], - ["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], 6:[ ["tag_inames", [[["m", "ilp"]]]], @@ -94,7 +94,7 @@ # Format: [Transformation, args, kwargs] ["tag_inames", [[["m", "ilp"]]]], ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["k_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["i", 10], {outer_tag: "g.1", inner_tag: "l.1"}], ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], @@ -102,7 +102,7 @@ 3:[ ["tag_inames", [[["m", "ilp"]]]], ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["k_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], @@ -129,7 +129,7 @@ ], 5:[ ["tag_inames", [[["m", "ilp"]]]], - ["split_iname", ["k", 192], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs: [0,1]}], ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], ["split_iname", ["i", 56], {outer_tag: "g.1", inner_tag: "l.1"}], ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], From 7e9dcaa23a9989a9e37fa275ff4d802dc02188bf Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 04:16:50 -0600 Subject: [PATCH 036/253] meshmode version --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 1587fbbdf..0fbda2ae5 100644 --- a/setup.py +++ b/setup.py @@ -50,7 +50,7 @@ def main(): "pytest>=2.3", "pytools>=2021.1", "modepy>=2013.3", - "meshmode>=2020.2", + "meshmode>=2020.2.1", "pyopencl>=2013.1", "pymbolic>=2013.2", "loopy>=2020.2.2", From 481906f7302aa563db2de367c39a97fdfd454621 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 09:11:24 -0600 Subject: [PATCH 037/253] specify branch --- requirements.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements.txt b/requirements.txt index f68b986d8..daaed6d01 100644 --- a/requirements.txt +++ b/requirements.txt @@ -4,12 +4,12 @@ git+https://github.com/inducer/pytools.git#egg=pytools git+https://github.com/inducer/pymbolic.git#egg=pymbolic git+https://github.com/inducer/islpy.git#egg=islpy git+https://github.com/inducer/pyopencl.git#egg=pyopencl -git+https://github.com/inducer/loopy.git@#egg=loopy == 2020.2.2 +git+https://github.com/inducer/loopy.git#egg=loopy == 2020.2.2 git+https://github.com/inducer/dagrt.git#egg=dagrt git+https://github.com/inducer/leap.git#egg=leap git+https://github.com/inducer/meshpy.git#egg=meshpy git+https://github.com/inducer/modepy.git#egg=modepy -git+https://github.com/nchristensen/meshmode.git#egg=meshmode == 2020.2.1 +git+https://github.com/nchristensen/meshmode.git@dof_tagging#egg=meshmode == 2020.2.1 git+https://github.com/inducer/pyvisfile.git#egg=pyvisfile git+https://github.com/inducer/pymetis.git#egg=pymetis git+https://github.com/illinois-ceesd/logpyle.git#egg=logpyle From b2254aafc0841031883e682dd115b2e16d54a638 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 09:20:36 -0600 Subject: [PATCH 038/253] add hjson to requirements --- setup.py | 1 + 1 file changed, 1 insertion(+) diff --git a/setup.py b/setup.py index 0fbda2ae5..a239c8e03 100644 --- a/setup.py +++ b/setup.py @@ -57,6 +57,7 @@ def main(): "cgen>=2013.1.2", "leap>=2019.1", "dagrt>=2019.1", + "hjson", "import_resources; python_version<'3.7'" ]) From 32f8776399471a0e23da0c883bb768c5cc8551c4 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 10:46:36 -0600 Subject: [PATCH 039/253] comment print statements --- grudge/execution.py | 2 +- grudge/grudge_array_context.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index fd80b6e0d..f93d87d23 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -591,7 +591,7 @@ def prg(n_mat): # Breaks on complex data types without check # TODO Add fallback transformations to hjson file # TODO Use the above kernel rather than the one in loopy_dg_kernels - print(field.entry_dtype) + #print(field.entry_dtype) if noperators == 3 and (field.entry_dtype == np.float64 or field.entry_dtype == np.float32): n_out, n_in = matrices_ary_dev[0].shape diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index 104b22709..acc88ae20 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -48,7 +48,7 @@ def thaw(self, array): #@memoize_method def transform_loopy_program(self, program): - print(program.name) + #print(program.name) for arg in program.args: if isinstance(arg.tags, IsDOFArray): From 038701159bf78f7b16718fdf96c0994e6d16f9ce Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 11 Jan 2021 23:51:19 -0600 Subject: [PATCH 040/253] Use GrudgeArrayContext in all tests and examples --- examples/advection/surface.py | 4 ++-- examples/advection/var-velocity.py | 4 ++-- examples/advection/weak.py | 2 -- examples/dagrt-fusion.py | 16 ++++++++-------- examples/geometry.py | 4 ++-- examples/maxwell/cavities.py | 2 -- examples/wave/var-propagation-speed.py | 4 ++-- examples/wave/wave-eager-mpi.py | 4 ++-- examples/wave/wave-eager-var-velocity.py | 4 ++-- examples/wave/wave-eager.py | 3 +-- examples/wave/wave-min-mpi.py | 4 ++-- examples/wave/wave-min.py | 4 ++-- grudge/loopy_dg_kernels/__init__.py | 1 - test/test_mpi_communication.py | 6 +++--- 14 files changed, 28 insertions(+), 34 deletions(-) diff --git a/examples/advection/surface.py b/examples/advection/surface.py index 2ab36d516..5fb713974 100644 --- a/examples/advection/surface.py +++ b/examples/advection/surface.py @@ -25,7 +25,7 @@ import numpy as np import pyopencl as cl -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext from meshmode.dof_array import thaw, flatten from grudge import bind, sym @@ -94,7 +94,7 @@ def __call__(self, evt, basename, overwrite=True): def main(ctx_factory, dim=2, order=4, product_tag=None, visualize=False): cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) # {{{ parameters diff --git a/examples/advection/var-velocity.py b/examples/advection/var-velocity.py index 9aa4d5b5f..877b78c64 100644 --- a/examples/advection/var-velocity.py +++ b/examples/advection/var-velocity.py @@ -25,7 +25,7 @@ import pyopencl as cl -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext from meshmode.dof_array import thaw, flatten from grudge import bind, sym @@ -91,7 +91,7 @@ def __call__(self, evt, basename, overwrite=True): def main(ctx_factory, dim=2, order=4, product_tag=None, visualize=False): cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) # {{{ parameters diff --git a/examples/advection/weak.py b/examples/advection/weak.py index 7977a439f..70d39a934 100644 --- a/examples/advection/weak.py +++ b/examples/advection/weak.py @@ -26,7 +26,6 @@ import pyopencl as cl -#from meshmode.array_context import PyOpenCLArrayContext from grudge.grudge_array_context import GrudgeArrayContext from meshmode.dof_array import thaw, flatten @@ -93,7 +92,6 @@ def __call__(self, evt, basename, overwrite=True): def main(ctx_factory, dim=2, order=4, visualize=False): cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) - #actx = PyOpenCLArrayContext(queue) actx = GrudgeArrayContext(queue) # {{{ parameters diff --git a/examples/dagrt-fusion.py b/examples/dagrt-fusion.py index 51033dba8..93060e53a 100755 --- a/examples/dagrt-fusion.py +++ b/examples/dagrt-fusion.py @@ -60,7 +60,7 @@ import pymbolic.primitives as p from meshmode.dof_array import DOFArray -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext import grudge.symbolic.mappers as gmap import grudge.symbolic.operators as sym_op @@ -484,7 +484,7 @@ def get_wave_component(state_component): def test_stepper_equivalence(ctx_factory, order=4): cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) dims = 2 @@ -748,7 +748,7 @@ def map_insn_diff_batch_assign(self, insn, profile_data): def test_assignment_memory_model(ctx_factory): cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) _, discr = get_wave_op_with_discr(actx, dims=2, order=3) @@ -776,7 +776,7 @@ def test_assignment_memory_model(ctx_factory): def test_stepper_mem_ops(ctx_factory, use_fusion): cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) dims = 2 @@ -947,7 +947,7 @@ def test_stepper_timing(ctx_factory, use_fusion): queue = cl.CommandQueue( cl_ctx, properties=cl.command_queue_properties.PROFILING_ENABLE) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) dims = 3 @@ -1070,7 +1070,7 @@ def ascii_table(table_format, header, rows): def problem_stats(order=3): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) with open_output_file("grudge-problem-stats.txt") as outf: _, dg_discr_2d = get_wave_op_with_discr( @@ -1095,7 +1095,7 @@ def problem_stats(order=3): def statement_counts_table(): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) fused_stepper = get_example_stepper(actx, use_fusion=True) stepper = get_example_stepper(actx, use_fusion=False) @@ -1186,7 +1186,7 @@ def mem_ops_results(actx, dims): def scalar_assignment_percent_of_total_mem_ops_table(): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) result2d = mem_ops_results(actx, 2) result3d = mem_ops_results(actx, 3) diff --git a/examples/geometry.py b/examples/geometry.py index 0affdc8ec..308033218 100644 --- a/examples/geometry.py +++ b/examples/geometry.py @@ -27,13 +27,13 @@ import pyopencl as cl from grudge import sym, bind, DGDiscretizationWithBoundaries, shortcuts -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext def main(write_output=True): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) from meshmode.mesh.generation import generate_warped_rect_mesh mesh = generate_warped_rect_mesh(dim=2, order=4, n=6) diff --git a/examples/maxwell/cavities.py b/examples/maxwell/cavities.py index 7de38a787..f1e6f27de 100644 --- a/examples/maxwell/cavities.py +++ b/examples/maxwell/cavities.py @@ -27,7 +27,6 @@ import pyopencl as cl from grudge.grudge_array_context import GrudgeArrayContext -#from meshmode.array_context import PyOpenCLArrayContext from grudge.shortcuts import set_up_rk4 from grudge import sym, bind, DGDiscretizationWithBoundaries @@ -42,7 +41,6 @@ def main(dims, write_output=True, order=2): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) actx = GrudgeArrayContext(queue) - #actx = PyOpenCLArrayContext(queue) from meshmode.mesh.generation import generate_regular_rect_mesh mesh = generate_regular_rect_mesh( diff --git a/examples/wave/var-propagation-speed.py b/examples/wave/var-propagation-speed.py index 6a0756501..f80b5e1ae 100644 --- a/examples/wave/var-propagation-speed.py +++ b/examples/wave/var-propagation-speed.py @@ -28,13 +28,13 @@ from grudge.shortcuts import set_up_rk4 from grudge import sym, bind, DGDiscretizationWithBoundaries -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext def main(write_output=True, order=4): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) dims = 2 from meshmode.mesh.generation import generate_regular_rect_mesh diff --git a/examples/wave/wave-eager-mpi.py b/examples/wave/wave-eager-mpi.py index b6ca9ae38..ea3370602 100644 --- a/examples/wave/wave-eager-mpi.py +++ b/examples/wave/wave-eager-mpi.py @@ -27,7 +27,7 @@ from pytools.obj_array import flat_obj_array -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext from meshmode.dof_array import thaw from meshmode.mesh import BTAG_ALL, BTAG_NONE # noqa @@ -121,7 +121,7 @@ def bump(actx, discr, t=0): def main(): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) comm = MPI.COMM_WORLD num_parts = comm.Get_size() diff --git a/examples/wave/wave-eager-var-velocity.py b/examples/wave/wave-eager-var-velocity.py index 194a1d654..0c58723d5 100644 --- a/examples/wave/wave-eager-var-velocity.py +++ b/examples/wave/wave-eager-var-velocity.py @@ -27,7 +27,7 @@ from pytools.obj_array import flat_obj_array -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext from meshmode.dof_array import thaw from meshmode.mesh import BTAG_ALL, BTAG_NONE # noqa @@ -133,7 +133,7 @@ def bump(actx, discr, t=0, width=0.05, center=None): def main(): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) dim = 2 nel_1d = 16 diff --git a/examples/wave/wave-eager.py b/examples/wave/wave-eager.py index 5c2f1d7fb..7cac91d5b 100644 --- a/examples/wave/wave-eager.py +++ b/examples/wave/wave-eager.py @@ -28,7 +28,6 @@ from pytools.obj_array import flat_obj_array from grudge.grudge_array_context import GrudgeArrayContext -#from meshmode.array_context import PyOpenCLArrayContext from meshmode.dof_array import thaw from meshmode.mesh import BTAG_ALL, BTAG_NONE # noqa @@ -115,7 +114,7 @@ def bump(actx, discr, t=0): def main(): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = GrudgeArrayContext(queue) # PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) dim = 3 nel_1d = 16 diff --git a/examples/wave/wave-min-mpi.py b/examples/wave/wave-min-mpi.py index a65582b7d..b67ce9f01 100644 --- a/examples/wave/wave-min-mpi.py +++ b/examples/wave/wave-min-mpi.py @@ -25,7 +25,7 @@ import numpy as np import pyopencl as cl -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext from grudge.shortcuts import set_up_rk4 from grudge import sym, bind, DGDiscretizationWithBoundaries from mpi4py import MPI @@ -34,7 +34,7 @@ def main(write_output=True, order=4): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) comm = MPI.COMM_WORLD num_parts = comm.Get_size() diff --git a/examples/wave/wave-min.py b/examples/wave/wave-min.py index c5d0e6017..9d1b4b6f1 100644 --- a/examples/wave/wave-min.py +++ b/examples/wave/wave-min.py @@ -26,7 +26,7 @@ import numpy as np import pyopencl as cl -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext from grudge.shortcuts import set_up_rk4 from grudge import sym, bind, DGDiscretizationWithBoundaries @@ -34,7 +34,7 @@ def main(write_output=True, order=4): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) dims = 2 from meshmode.mesh.generation import generate_regular_rect_mesh diff --git a/grudge/loopy_dg_kernels/__init__.py b/grudge/loopy_dg_kernels/__init__.py index c4fcdf884..8b0a46443 100644 --- a/grudge/loopy_dg_kernels/__init__.py +++ b/grudge/loopy_dg_kernels/__init__.py @@ -297,7 +297,6 @@ def apply_transformation_list(knl, transformations): # bounds print(knl) for t in transformations: - print("HERE") print(t) func = function_mapping[t[0]] args = [knl] + t[1] diff --git a/test/test_mpi_communication.py b/test/test_mpi_communication.py index dedc35d16..3357edffe 100644 --- a/test/test_mpi_communication.py +++ b/test/test_mpi_communication.py @@ -29,7 +29,7 @@ import pyopencl as cl import logging -from meshmode.array_context import PyOpenCLArrayContext +from grudge.grudge_array_context import GrudgeArrayContext logger = logging.getLogger(__name__) logging.basicConfig() @@ -42,7 +42,7 @@ def simple_mpi_communication_entrypoint(): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) from meshmode.distributed import MPIMeshDistributor, get_partition_by_pymetis @@ -100,7 +100,7 @@ def simple_mpi_communication_entrypoint(): def mpi_communication_entrypoint(): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = PyOpenCLArrayContext(queue) + actx = GrudgeArrayContext(queue) from mpi4py import MPI comm = MPI.COMM_WORLD From 6449eeab0c3a08bc716b641fe029ad35933aae37 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Sun, 17 Jan 2021 05:50:33 -0600 Subject: [PATCH 041/253] update setup.py --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index a239c8e03..feacd4ccc 100644 --- a/setup.py +++ b/setup.py @@ -41,7 +41,7 @@ def main(): ], package_data={ - "loopy_dg_kernels": ["*.hjson"] + "": ["*.hjson"] }, packages=find_packages(), From cc431b2682441bf97eabc6cf3ce28a29b24d7e4d Mon Sep 17 00:00:00 2001 From: Christensen Date: Sun, 17 Jan 2021 18:56:16 -0600 Subject: [PATCH 042/253] Add gmsh to requirements --- requirements.txt | 2 ++ setup.py | 1 + 2 files changed, 3 insertions(+) diff --git a/requirements.txt b/requirements.txt index daaed6d01..e50059747 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,7 @@ numpy mpi4py +gmsh +hjson git+https://github.com/inducer/pytools.git#egg=pytools git+https://github.com/inducer/pymbolic.git#egg=pymbolic git+https://github.com/inducer/islpy.git#egg=islpy diff --git a/setup.py b/setup.py index feacd4ccc..6b14e0493 100644 --- a/setup.py +++ b/setup.py @@ -58,6 +58,7 @@ def main(): "leap>=2019.1", "dagrt>=2019.1", "hjson", + "gmsh", "import_resources; python_version<'3.7'" ]) From 97fd27b81e0dc26abfede0e0fd499824d9f0d628 Mon Sep 17 00:00:00 2001 From: Christensen Date: Mon, 18 Jan 2021 04:21:49 -0600 Subject: [PATCH 043/253] reduce local memory use --- grudge/loopy_dg_kernels/transform.hjson | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index c7b1b1a75..0c457eed7 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -114,8 +114,12 @@ #["tag_array_axes", ["vec", "f,f"]], ["tag_inames", [[["m", "ilp"]]]], - ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + #["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + #["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + # See if these pass the tests + ["split_iname", ["k", 12], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 4], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["i", 35], {outer_tag: "g.1", inner_tag: "l.1"}], ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], From 004269b6152e462d0f516dd2e561f8517542ee6f Mon Sep 17 00:00:00 2001 From: Christensen Date: Mon, 18 Jan 2021 12:22:09 -0600 Subject: [PATCH 044/253] comment gmsh requirement --- requirements.txt | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements.txt b/requirements.txt index e50059747..7d3dfae06 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,6 @@ numpy mpi4py -gmsh +#gmsh hjson git+https://github.com/inducer/pytools.git#egg=pytools git+https://github.com/inducer/pymbolic.git#egg=pymbolic diff --git a/setup.py b/setup.py index 6b14e0493..a8cf22bdd 100644 --- a/setup.py +++ b/setup.py @@ -58,7 +58,7 @@ def main(): "leap>=2019.1", "dagrt>=2019.1", "hjson", - "gmsh", + #"gmsh", "import_resources; python_version<'3.7'" ]) From 64f2e39e1a8af7adb5d5ac982e255aacb1fd5d05 Mon Sep 17 00:00:00 2001 From: Christensen Date: Mon, 18 Jan 2021 18:50:11 -0600 Subject: [PATCH 045/253] remove all transformations to test --- grudge/loopy_dg_kernels/transform.hjson | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index 0c457eed7..4dea997a3 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -101,11 +101,11 @@ ], 3:[ ["tag_inames", [[["m", "ilp"]]]], - ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - ["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], - ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + #["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + #["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + #["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], + #["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 4:[ # Move this to array context? From 11aa98b5d5e109d64124735be941c6ed5eaafdf9 Mon Sep 17 00:00:00 2001 From: Christensen Date: Mon, 18 Jan 2021 19:45:04 -0600 Subject: [PATCH 046/253] add k split back --- grudge/loopy_dg_kernels/transform.hjson | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index 4dea997a3..37fc20539 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -101,7 +101,7 @@ ], 3:[ ["tag_inames", [[["m", "ilp"]]]], - #["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], #["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], #["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], #["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], From 6a2f29014a1dd85758870fe8e02f2275d03b96d8 Mon Sep 17 00:00:00 2001 From: Christensen Date: Mon, 18 Jan 2021 20:09:39 -0600 Subject: [PATCH 047/253] add k_inner split back --- grudge/loopy_dg_kernels/transform.hjson | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index 37fc20539..799dae75d 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -102,7 +102,7 @@ 3:[ ["tag_inames", [[["m", "ilp"]]]], ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], - #["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], #["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], #["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], From f1d9d07a85927cc1dadcb312e0860ad4e7c4378b Mon Sep 17 00:00:00 2001 From: Christensen Date: Mon, 18 Jan 2021 20:39:09 -0600 Subject: [PATCH 048/253] add i split back --- grudge/loopy_dg_kernels/transform.hjson | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index 799dae75d..5f913f4d5 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -103,7 +103,7 @@ ["tag_inames", [[["m", "ilp"]]]], ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - #["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], #["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], From 55fa19270ec30ebd832d035e8fc6ed2c655ba38b Mon Sep 17 00:00:00 2001 From: Christensen Date: Mon, 18 Jan 2021 21:07:43 -0600 Subject: [PATCH 049/253] add vector prefetch back --- grudge/loopy_dg_kernels/transform.hjson | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index 5f913f4d5..1def9042a 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -104,7 +104,7 @@ ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], - #["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 4:[ From b6727d6f4da080c2313ba03e648fd82cf08db318 Mon Sep 17 00:00:00 2001 From: Christensen Date: Mon, 18 Jan 2021 21:42:24 -0600 Subject: [PATCH 050/253] add matrix prefetch, remove vector prefetch --- grudge/loopy_dg_kernels/transform.hjson | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index 1def9042a..891cc267e 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -104,8 +104,8 @@ ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], - ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + #["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 4:[ # Move this to array context? From fb2735c3e980db3b47e465dc748f242c19a0561e Mon Sep 17 00:00:00 2001 From: Christensen Date: Mon, 18 Jan 2021 23:48:40 -0600 Subject: [PATCH 051/253] change k_outer size --- grudge/loopy_dg_kernels/transform.hjson | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index 891cc267e..0e1a1826f 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -101,7 +101,9 @@ ], 3:[ ["tag_inames", [[["m", "ilp"]]]], - ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + #["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + # For tests + ["split_iname", ["k", 32], {outer_tag: "g.0", slabs:[0,1]}], ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], #["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], From c0c295a7ca43efeb7c1a7cda3cff76d125545efd Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 16 Feb 2021 12:46:43 -0600 Subject: [PATCH 052/253] Make elwise_linear call batched diff --- examples/advection/surface.py | 4 +- examples/advection/var-velocity.py | 2 +- examples/advection/weak.py | 5 +- examples/dagrt-fusion.py | 2 +- examples/wave/var-propagation-speed.py | 2 +- examples/wave/wave-eager.py | 7 +- grudge/execution.py | 50 +++--- grudge/grudge_array_context.py | 219 +++++++++++++++--------- grudge/loopy_dg_kernels/__init__.py | 28 +-- grudge/loopy_dg_kernels/run_tests.py | 212 ++++++++++++++++------- grudge/loopy_dg_kernels/transform.hjson | 28 ++- grudge/symbolic/operators.py | 8 + requirements.txt | 2 +- setup.py | 2 +- 14 files changed, 371 insertions(+), 200 deletions(-) diff --git a/examples/advection/surface.py b/examples/advection/surface.py index 5fb713974..11a20ff29 100644 --- a/examples/advection/surface.py +++ b/examples/advection/surface.py @@ -91,7 +91,7 @@ def __call__(self, evt, basename, overwrite=True): # }}} -def main(ctx_factory, dim=2, order=4, product_tag=None, visualize=False): +def main(ctx_factory, dim=2, order=3, product_tag=None, visualize=False): cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) actx = GrudgeArrayContext(queue) @@ -245,7 +245,7 @@ def rhs(t, u): import argparse parser = argparse.ArgumentParser() - parser.add_argument("--dim", choices=[2, 3], default=2, type=int) + parser.add_argument("--dim", choices=[2, 3], default=3, type=int) parser.add_argument("--qtag", choices=["none", "product"], default="none") args = parser.parse_args() diff --git a/examples/advection/var-velocity.py b/examples/advection/var-velocity.py index 877b78c64..5477444d2 100644 --- a/examples/advection/var-velocity.py +++ b/examples/advection/var-velocity.py @@ -210,7 +210,7 @@ def rhs(t, u): import argparse parser = argparse.ArgumentParser() - parser.add_argument("--dim", default=2, type=int) + parser.add_argument("--dim", default=3, type=int) parser.add_argument("--qtag", default="product") args = parser.parse_args() diff --git a/examples/advection/weak.py b/examples/advection/weak.py index 70d39a934..dca951a29 100644 --- a/examples/advection/weak.py +++ b/examples/advection/weak.py @@ -26,6 +26,7 @@ import pyopencl as cl +#from meshmode.array_context import PyOpenCLArrayContext from grudge.grudge_array_context import GrudgeArrayContext from meshmode.dof_array import thaw, flatten @@ -92,7 +93,7 @@ def __call__(self, evt, basename, overwrite=True): def main(ctx_factory, dim=2, order=4, visualize=False): cl_ctx = ctx_factory() queue = cl.CommandQueue(cl_ctx) - actx = GrudgeArrayContext(queue) + actx = PyOpenCLArrayContext(queue) # {{{ parameters @@ -183,7 +184,7 @@ def rhs(t, u): import argparse parser = argparse.ArgumentParser() - parser.add_argument("--dim", default=2, type=int) + parser.add_argument("--dim", default=3, type=int) args = parser.parse_args() logging.basicConfig(level=logging.INFO) diff --git a/examples/dagrt-fusion.py b/examples/dagrt-fusion.py index 93060e53a..4f328c1eb 100755 --- a/examples/dagrt-fusion.py +++ b/examples/dagrt-fusion.py @@ -676,7 +676,7 @@ def map_insn_loopy_kernel(self, insn, profile_data): for name, ary in dof_array_kwargs.items(): kwargs[name] = ary[grp.index] - knl_result = self.inner_mapper.array_context.call_loopy( + _, knl_result = self.inner_mapper.array_context.call_loopy( kdescr.loopy_kernel, **kwargs) for name, val in knl_result.items(): diff --git a/examples/wave/var-propagation-speed.py b/examples/wave/var-propagation-speed.py index f80b5e1ae..4a190b0bb 100644 --- a/examples/wave/var-propagation-speed.py +++ b/examples/wave/var-propagation-speed.py @@ -36,7 +36,7 @@ def main(write_output=True, order=4): queue = cl.CommandQueue(cl_ctx) actx = GrudgeArrayContext(queue) - dims = 2 + dims = 3 from meshmode.mesh.generation import generate_regular_rect_mesh mesh = generate_regular_rect_mesh( a=(-0.5,)*dims, diff --git a/examples/wave/wave-eager.py b/examples/wave/wave-eager.py index 7cac91d5b..af30b95bd 100644 --- a/examples/wave/wave-eager.py +++ b/examples/wave/wave-eager.py @@ -28,6 +28,7 @@ from pytools.obj_array import flat_obj_array from grudge.grudge_array_context import GrudgeArrayContext +from meshmode.array_context import PyOpenCLArrayContext # noqa F401 from meshmode.dof_array import thaw from meshmode.mesh import BTAG_ALL, BTAG_NONE # noqa @@ -114,12 +115,14 @@ def bump(actx, discr, t=0): def main(): cl_ctx = cl.create_some_context() queue = cl.CommandQueue(cl_ctx) - actx = GrudgeArrayContext(queue) + from pyopencl.tools import ImmediateAllocator + actx = GrudgeArrayContext(queue, allocator=ImmediateAllocator(queue)) dim = 3 - nel_1d = 16 + nel_1d = 2**4 from meshmode.mesh.generation import generate_regular_rect_mesh mesh = generate_regular_rect_mesh( + coord_dtype=np.float32, a=(-0.5,)*dim, b=(0.5,)*dim, n=(nel_1d,)*dim) diff --git a/grudge/execution.py b/grudge/execution.py index f93d87d23..9e0816b8e 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -26,7 +26,6 @@ from pytools import memoize_in from pytools.obj_array import make_obj_array -from pytools.tag import Tag import loopy as lp import pyopencl as cl @@ -36,10 +35,14 @@ from meshmode.array_context import ArrayContext, make_loopy_program, IsDOFArray import grudge.symbolic.mappers as mappers +from grudge.symbolic.compiler import DiffBatchAssign +from grudge.symbolic.operators import RefMassOperator, RefInverseMassOperator from grudge import sym from grudge.function_registry import base_function_registry import grudge.loopy_dg_kernels as dgk +from grudge.grudge_array_context import (GrudgeArrayContext, VecIsDOFArray, + FaceIsDOFArray, VecOpIsDOFArray, IsOpArray) import logging logger = logging.getLogger(__name__) @@ -51,22 +54,6 @@ ResultType = Union[DOFArray, Number] -class VecIsDOFArray(Tag): - pass - - -class FaceIsDOFArray(Tag): - pass - - -class VecOpIsDOFArray(Tag): - pass - - -class IsOpArray(Tag): - pass - - # {{{ exec mapper class ExecutionMapper(mappers.Evaluator, @@ -270,7 +257,7 @@ def knl(sym_then, sym_else): knl(sym_then, sym_else), crit=bool_crit[igrp], a=get_then(igrp), - b=get_else(igrp)) + b=get_else(igrp))[1] for igrp in range(ngroups))) # {{{ elementwise linear operators @@ -280,6 +267,12 @@ def map_ref_diff_base(self, op, field_expr): "differentiation should be happening in batched form") def map_elementwise_linear(self, op, field_expr): + insn = DiffBatchAssign(names=("elwise_linear",), operators=(op,), + field=field_expr) + out, _ = self.map_insn_diff_batch_assign(insn) + return out[0][1] + + def map_elementwise_linear_old(self, op, field_expr): field = self.rec(field_expr) from grudge.tools import is_zero @@ -489,7 +482,7 @@ def map_insn_loopy_kernel(self, insn, profile_data=None): for name, ary in dof_array_kwargs.items(): kwargs[name] = ary[grp.index] - knl_result = self.array_context.call_loopy( + _, knl_result = self.array_context.call_loopy( kdescr.loopy_kernel, **kwargs) for name, val in knl_result.items(): @@ -519,16 +512,15 @@ def map_insn_assign_from_discr_scoped(self, insn, profile_data=None): self.discrwb._discr_scoped_subexpr_name_to_value[insn.name])], [] def map_insn_diff_batch_assign(self, insn, profile_data=None): - # Whence comes the field? ifield = insn.field - #import pdb - #pdb.set_trace() field = self.rec(ifield) repr_op = insn.operators[0] + # FIXME: There's no real reason why differentiation is special, # execution-wise. # This should be unified with map_elementwise_linear, which should # be extended to support batching. + # Note: This is now mostly done assert repr_op.dd_in.domain_tag == repr_op.dd_out.domain_tag @@ -583,17 +575,25 @@ def prg(n_mat): matrices_ary = np.empty( (noperators, out_grp.nunit_dofs, in_grp.nunit_dofs), dtype=field.entry_dtype) + for i, op in enumerate(insn.operators): - matrices_ary[i] = matrices[op.rst_axis] + # Is there a more flexible way to do this? + if isinstance(op, RefInverseMassOperator) or \ + isinstance(op, RefMassOperator): + matrices_ary[i] = matrices[0] + else: + matrices_ary[i] = matrices[op.rst_axis] + matrices_ary_dev = self.array_context.from_numpy(matrices_ary) self.bound_op.operator_data_cache[cache_key] = matrices_ary_dev # Breaks on complex data types without check # TODO Add fallback transformations to hjson file # TODO Use the above kernel rather than the one in loopy_dg_kernels - #print(field.entry_dtype) + # TODO Add transformations for other numbers of operators if noperators == 3 and (field.entry_dtype == np.float64 - or field.entry_dtype == np.float32): + or field.entry_dtype == np.float32) \ + and isinstance(self.array_context, GrudgeArrayContext): n_out, n_in = matrices_ary_dev[0].shape n_elem = field[in_grp.index].shape[0] options = lp.Options(no_numpy=True, return_dict=True) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index acc88ae20..f3cf2080c 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -1,13 +1,13 @@ from meshmode.array_context import PyOpenCLArrayContext from meshmode.dof_array import IsDOFArray -#from grudge.execution import VecOpIsDOFArray -from grudge.execution import (VecIsDOFArray, FaceIsDOFArray, - IsOpArray) +from pytools.tag import Tag +from pytools import memoize_method import loopy as lp -#import pyopencl import pyopencl.array as cla import grudge.loopy_dg_kernels as dgk -#import numpy as np + +#from grudge.loopy_dg_kernels.run_tests import analyzeResult + try: import importlib.resources as pkg_resources except ImportError: @@ -18,6 +18,22 @@ ftoc_knl = lp.make_copy_kernel("c,c", old_dim_tags="f,f") +class VecIsDOFArray(Tag): + pass + + +class FaceIsDOFArray(Tag): + pass + + +class VecOpIsDOFArray(Tag): + pass + + +class IsOpArray(Tag): + pass + + class GrudgeArrayContext(PyOpenCLArrayContext): def empty(self, shape, dtype): @@ -28,14 +44,6 @@ def zeros(self, shape, dtype): return cla.zeros(self.queue, shape=shape, dtype=dtype, allocator=self.allocator, order="F") - #@memoize_method - def _get_scalar_func_loopy_program(self, name, nargs, naxes): - prog = super()._get_scalar_func_loopy_program(name, nargs, naxes) - for arg in prog.args: - if type(arg) == lp.ArrayArg: - arg.tags = IsDOFArray() - return prog - def thaw(self, array): thawed = super().thaw(array) if type(getattr(array, "tags", None)) == IsDOFArray: @@ -46,7 +54,7 @@ def thaw(self, array): #thawed.tags = "dof_array" return thawed - #@memoize_method + @memoize_method def transform_loopy_program(self, program): #print(program.name) @@ -95,74 +103,131 @@ def transform_loopy_program(self, program): transformations = dgk.load_transformations_from_file(hjson_file, device_id, pn, fp_format=fp_format) program = dgk.apply_transformation_list(program, transformations) + elif "actx_special" in program.name: + program = lp.split_iname(program, "i0", 512, outer_tag="g.0", + inner_tag="l.0", slabs=(0, 1)) + #program = lp.split_iname(program, "i0", 128, outer_tag="g.0", + # slabs=(0,1)) + #program = lp.split_iname(program, "i0_inner", 32, outer_tag="ilp", + # inner_tag="l.0") + #program = lp.split_iname(program, "i1", 20, outer_tag="g.1", + # inner_tag="l.1", slabs=(0,0)) + #program2 = lp.join_inames(program, ("i1", "i0"), "i") + #from islpy import BasicMap + #m = BasicMap("[x,y] -> {[n0,n1]->[i]:}") + #program2 = lp.map_domain(program, m) + #print(program2) + #exit() + + #program = super().transform_loopy_program(program) + #print(program) + #print(lp.generate_code_v2(program).device_code()) + elif "grudge_assign" in program.name or \ + "flatten" in program.name or \ + "resample" in program.name or \ + "face_mass" in program.name: + #program = lp.set_options(program, "write_cl") + program = lp.split_iname(program, "iel", 128, outer_tag="g.0", + slabs=(0, 1)) + program = lp.split_iname(program, "iel_inner", 32, outer_tag="ilp", + inner_tag="l.0") + program = lp.split_iname(program, "idof", 20, outer_tag="g.1", + inner_tag="l.1", slabs=(0, 0)) else: program = super().transform_loopy_program(program) return program + ''' + def call_loopy(self, program, **kwargs): + if program.name == "opt_diff": + self.queue.finish() + start = time.time() + evt, result = program(self.queue, **kwargs, allocator=self.allocator) + self.queue.finish() + dt = time.time() - start + _, nelem, n = program.args[0].shape + print(program.args[0].shape) + #print(lp.generate_code_v2(program).device_code()) + analyzeResult(n, n, nelem, 6144, 540, dt, 8) + print(dt) + # First is warmup + self.queue.finish() + start = time.time() + evt, result = program(self.queue, **kwargs, allocator=self.allocator) + self.queue.finish() + dt = time.time() - start + _, nelem, n = program.args[0].shape + print(program.args[0].shape) + #print(lp.generate_code_v2(program).device_code()) + analyzeResult(n, n, nelem, 6144, 540, dt, 8) + print(dt) -# {{{ pytest integration - -# Should this method just be modified to accept a class _ContextFactory -# as an argument? -def pytest_generate_tests_for_grudge_array_context(metafunc): - """Parametrize tests for pytest to use a :mod:`grudge` array context. - - Performs device enumeration analogously to - :func:`pyopencl.tools.pytest_generate_tests_for_pyopencl`. - - Using the line: - - .. code-block:: python - - from grudge.grudge_array_context import pytest_generate_tests_for_pyopencl \ - as pytest_generate_tests - - in your pytest test scripts allows you to use the arguments ctx_factory, - device, or platform in your test functions, and they will automatically be - run for each OpenCL device/platform in the system, as appropriate. - - It also allows you to specify the ``PYOPENCL_TEST`` environment variable - for device selection. - """ - - import pyopencl as cl - from pyopencl.tools import _ContextFactory - - class ArrayContextFactory(_ContextFactory): - def __call__(self): - ctx = super().__call__() - return GrudgeArrayContext(cl.CommandQueue(ctx)) - - def __str__(self): - return ("" % - (self.device.name.strip(), - self.device.platform.name.strip())) - - import pyopencl.tools as cl_tools - arg_names = cl_tools.get_pyopencl_fixture_arg_names( - metafunc, extra_arg_names=["actx_factory"]) - - if not arg_names: - return - - arg_values, ids = cl_tools.get_pyopencl_fixture_arg_values() - if "actx_factory" in arg_names: - if "ctx_factory" in arg_names or "ctx_getter" in arg_names: - raise RuntimeError("Cannot use both an 'actx_factory' and a " - "'ctx_factory' / 'ctx_getter' as arguments.") - - for arg_dict in arg_values: - arg_dict["actx_factory"] = ArrayContextFactory(arg_dict["device"]) - - arg_values = [ - tuple(arg_dict[name] for name in arg_names) - for arg_dict in arg_values - ] - - metafunc.parametrize(arg_names, arg_values, ids=ids) - -# }}} - + #exit() + result = kwargs["result"] + elif "actx_special" in program.name: + print(program.name) + start = time.time() + evt, result = program(self.queue, **kwargs, allocator=self.allocator) + self.queue.finish() + dt = time.time() - start + print(dt) + d1, d2 = program.args[0].shape + print((d1, d2)) + nbytes = d1*d2*8 + bandwidth = 2*(nbytes / dt) / 1e9 + print(bandwidth) + else: + evt, result = program(self.queue, **kwargs, allocator=self.allocator) + """ + if program.name == "opt_diff": + self.queue.finish() + start = time.time() + evt, result = super().call_loopy(program, **kwargs) + #evt, result = program(self.queue, **kwargs, allocator=self.allocator) + self.queue.finish() + dt = time.time() - start + _, nelem, n = program.args[0].shape + print(program.args[0].shape) + #print(lp.generate_code_v2(program).device_code()) + analyzeResult(n, n, nelem, 6144, 540, dt, 8) + print(dt) + + # First was warmup + self.queue.finish() + start = time.time() + evt, result = program(self.queue, **kwargs, allocator=self.allocator) + self.queue.finish() + dt = time.time() - start + _, nelem, n = program.args[0].shape + print(program.args[0].shape) + #print(lp.generate_code_v2(program).device_code()) + analyzeResult(n, n, nelem, 6144, 540, dt, 8) + print(dt) + + + #exit() + result = kwargs["result"] + else: + evt, result = super().call_loopy(program, **kwargs) + #evt, result = program(self.queue, **kwargs, allocator=self.allocator) + """ + # """ + #start = time.time() + evt, result = super().call_loopy(program, **kwargs) + """ + if False:#program.name == "opt_diff": + self.queue.finish() + dt = time.time() - start + _, nelem, n = program.args[0].shape + print(program.args[0].shape) + print(lp.generate_code_v2(program).device_code()) + analyzeResult(n, n, nelem, 6144, 540, dt, 8) + exit() + """ + # """ + + return evt, result + ''' # vim: foldmethod=marker diff --git a/grudge/loopy_dg_kernels/__init__.py b/grudge/loopy_dg_kernels/__init__.py index 8b0a46443..802bf6c72 100644 --- a/grudge/loopy_dg_kernels/__init__.py +++ b/grudge/loopy_dg_kernels/__init__.py @@ -1,4 +1,5 @@ import numpy as np +from pytools import memoize_in #import pyopencl as cl #import pyopencl.array @@ -31,9 +32,13 @@ # Se podría usar el de Grudge. +#@memoize_method def gen_diff_knl_fortran2(n_mat, n_elem, n_in, n_out, fp_format=np.float32, options=None): - knl = lp.make_kernel( + + @memoize_in(gen_diff_knl_fortran2, "_gen_diff_knl") + def _gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format): + knl = lp.make_kernel( """{[m,k,i,j]: 0<=m 0 and nmatrices > 0", options=options, name="opt_diff" - ) + ) + return knl + + knl = _gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format) # This should be in array context probably but need to avoid circular dependency + knl = lp.tag_inames(knl, "m: ilp") knl = lp.tag_array_axes(knl, "diff_mat", "sep,c,c") knl = lp.tag_array_axes(knl, "result", "sep,f,f") knl = lp.tag_array_axes(knl, "vec", "f,f") @@ -109,7 +118,7 @@ def gen_diff_knl_fortran(n_elem, n_in, n_out, fp_format=np.float32, options=None return knl - +#@memoize_method def gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format=np.float32, options=None): print(fp_format) knl = lp.make_kernel( @@ -224,7 +233,6 @@ def gen_diff_knl(n_elem, n_in, n_out, k_inner_outer,k_inner_inner,i_inner_outer, return knl ''' - def load_transformations_from_file(hjson_file, device_id, pn, fp_format=np.float32): hjson_text = hjson_file.read() od = hjson.loads(hjson_text) @@ -234,7 +242,6 @@ def load_transformations_from_file(hjson_file, device_id, pn, fp_format=np.float transformations = od["transformations"][transform_id][fp_string][str(pn)] return transformations - def generate_transformation_list_old(k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner): transformations = [] @@ -257,8 +264,7 @@ def generate_transformation_list_old(k_inner_outer, k_inner_inner, i_inner_outer {"temporary_name": "mat2fp", "default_tag": "unr"})) transformations.append(("add_prefetch", ["mat3", "j_inner"], {"temporary_name": "mat3fp", "default_tag": "unr"})) - return transformations - + return tuple(transformations) def generate_transformation_list(k_inner_outer, k_inner_inner, i_inner_outer, i_inner_inner, j_inner): @@ -281,9 +287,9 @@ def generate_transformation_list(k_inner_outer, k_inner_inner, i_inner_outer, {"temporary_name": "vecf", "default_tag": "l.auto"})) transformations.append(("add_prefetch", ["diff_mat", "j_inner"], {"temporary_name": "matfp", "default_tag": "unr"})) - return transformations - + return tuple(transformations) +#@memoize_method def apply_transformation_list(knl, transformations): function_mapping = {"split_iname": lp.split_iname, "add_prefetch": lp.add_prefetch, @@ -295,9 +301,9 @@ def apply_transformation_list(knl, transformations): # Maybe add some logic to add slabs=(0,0) if n_elem % k_inner_outer == 0 # Maybe can do this based on tranformation name, loop variable, and loop variable # bounds - print(knl) + #print(knl) for t in transformations: - print(t) + #print(t) func = function_mapping[t[0]] args = [knl] + t[1] kwargs = t[2] if len(t) > 2 else {} diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index 5acab960a..cc4361eb2 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -29,16 +29,72 @@ import loopy.options loopy.options.ALLOW_TERMINAL_COLORS = False -from grudge.loopy_dg_kernels import (gen_diff_knl, generate_transformation_list, - apply_transformation_list) +from grudge.loopy_dg_kernels import (gen_diff_knl, gen_diff_knl_fortran2, + generate_transformation_list, apply_transformation_list) +ctof = lp.make_copy_kernel("f,f", old_dim_tags="c,c") -def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, - i_inner_inner, j_inner, backend="CUDA", fp_format=np.float32, nruns=10): +def testBandwidth(fp_format=np.float64, nruns=1): - kern = gen_diff_knl(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, - i_inner_outer, i_inner_inner, j_inner) + from pyopencl.array import sum as clsum + platform = cl.get_platforms() + my_gpu_devices = platform[0].get_devices(device_type=cl.device_type.GPU) + ctx = cl.Context(devices=my_gpu_devices) + #ctx = cl.create_some_context(interactive=True) + queue = cl.CommandQueue(ctx) + + from pyopencl.tools import ImmediateAllocator + allocator = ImmediateAllocator(queue) + + + knl = lp.make_copy_kernel("c,c", old_dim_tags="c,c") + knl = lp.add_dtypes(knl, {"input": fp_format, "output": fp_format}) + knl = knl.copy(target=lp.PyOpenCLTarget(my_gpu_devices[0])) + n0 = 20 + #knl = lp.split_iname(knl, "i1", 1024//2, inner_tag="l.0", outer_tag="g.0", slabs=(0,1)) + knl = lp.split_iname(knl, "i1", 512, inner_tag="l.0", outer_tag="g.0", slabs=(0,1)) + #knl = lp.split_iname(knl, "i1", 6*16, outer_tag="g.0") + #knl = lp.split_iname(knl, "i1_inner", 16, outer_tag="ilp", inner_tag="l.0", slabs=(0,1)) + + #knl = lp.split_iname(knl, "i0", n0, inner_tag="l.1", outer_tag="g.1", slabs=(0,0)) + + fp_bytes = 8 if fp_format == np.float64 else 4 + + for i in range(24): + + n = 2**i + kern = lp.fix_parameters(knl, n0=n0, n1=n) + inpt = cl.clrandom.rand(queue, (n0, n), dtype=fp_format) + outpt = cl.array.Array(queue, (n0, n), dtype=fp_format, allocator=allocator) + + #kern = lp.set_options(kern, "write_code") # Output code before editing it + + for j in range(2): + kern(queue, input=inpt, output=outpt) + start = time.time() + for j in range(nruns): + kern(queue, input=inpt, output=outpt) + queue.finish() + dt = (time.time() - start)/nruns + bandwidth = 2*n*n0*fp_bytes / dt / 1e9 + print("{} {}".format(i, bandwidth)) + + #print((inpt - outpt)) + diff = (inpt - outpt) + if clsum(inpt - outpt) != 0: + print("INCORRECT COPY") + + +def runTestFortran(kern, n_elem, n_in, n_out, backend="OPENCL", fp_format=np.float32, nruns=10): +#def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, +# i_inner_inner, j_inner, backend="OPENCL", fp_format=np.float32, nruns=10): + + #kern = gen_diff_knl(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, + # i_inner_outer, i_inner_inner, j_inner) kern = lp.set_options(kern, "no_numpy") + kern = lp.set_options(kern, "return_dict") + + n_mat = 3 CUDA = (backend == "CUDA") OPENCL = not CUDA @@ -50,7 +106,7 @@ def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_ou #kern = lp.set_options(kern, edit_code=True) code = lp.generate_code_v2(kern).device_code() mod = SourceModule(code, keep=True) - diff_fn = mod.get_function("diff") + diff_fn = mod.get_function("opt_diff") A_dev1 = curand((n_out, n_in), dtype=fp_format, stream=stream) A_dev2 = curand((n_out, n_in), dtype=fp_format, stream=stream) A_dev3 = curand((n_out, n_in), dtype=fp_format, stream=stream) @@ -79,18 +135,20 @@ def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_ou #dammit = UnicodeDammit(ptx) #print(dammit.unicode_markup) - #kern = lp.set_options(kern, "write_cl") - #A_dev = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - #X_dev = cl.clrandom.rand(queue, (n_elem, n_in), dtype=fp_format) - #B_dev = cl.array.Array(queue, (n_elem, n_out), dtype=fp_format) - A_dev1 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - A_dev2 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - A_dev3 = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - X_dev = cl.clrandom.rand(queue, (n_in, n_elem), dtype=fp_format) - B_dev1 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - B_dev2 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - B_dev3 = cl.array.Array(queue, (n_out, n_elem), dtype=fp_format) - # Code for running binaries + from pyopencl.tools import ImmediateAllocator + allocator = ImmediateAllocator(queue) + X_dev_c = cl.clrandom.rand(queue, (n_elem, n_in), dtype=fp_format) + evt, (X_dev,) = ctof(queue, input=X_dev_c) + from pytools.obj_array import make_obj_array + B_dev = [] + A_dev = [] + for i in range(n_mat): + B_dev.append(cl.array.Array(queue, (n_elem, n_out), dtype=fp_format, allocator=allocator,order="F")) + A_dev.append(cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format)) + B_dev = make_obj_array(B_dev) + A_dev = make_obj_array(A_dev) + + # Code for running binaries #device = queue.get_info(cl.command_queue_info.DEVICE) #with open("pocl_32x32.ptx","rb") as f: @@ -102,20 +160,18 @@ def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_ou #prg = prg.build() #diff_knl = prg.diff - events = [] + #events = [] for i in range(2): if OPENCL: #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, # X_dev.shape, (32,32),None) - evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, - mat3=A_dev3, vec=X_dev) - events.append(evt) + kern(queue, result=B_dev, diff_mat=A_dev, vec=X_dev) elif CUDA: diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) if OPENCL: - cl.wait_for_events(events) + queue.finish() elif CUDA: pycuda.autoinit.context.synchronize() @@ -127,41 +183,40 @@ def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_ou #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, # X_dev.shape, (32,32),None) - evt, (B_dev1, B_dev2, B_dev3) = kern(queue, mat1=A_dev1, mat2=A_dev2, - mat3=A_dev3, vec=X_dev) - events.append(evt) + kern(queue, result=B_dev, diff_mat=A_dev, vec=X_dev) elif CUDA: diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) if OPENCL: - cl.wait_for_events(events) + queue.finish() elif CUDA: pycuda.autoinit.context.synchronize() sum_time = time.time() - start avg_time = sum_time / nruns - return (B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev), avg_time - + return (B_dev, A_dev, X_dev), avg_time -def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, - i_inner_inner, j_inner, backend="CUDA", fp_format=np.float32, - nruns=10): +#def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, +# i_inner_inner, j_inner, backend="CUDA", fp_format=np.float32, +# nruns=10): +def runTest(kern, n_elem, n_in, n_out, backend="OPENCL", fp_format=np.float32, nruns=10): n_mat = 3 print(fp_format) - kern = gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format=fp_format) + #kern = gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format=fp_format) print(kern) - transformations = generate_transformation_list(k_inner_outer, k_inner_inner, - i_inner_outer, i_inner_inner, - j_inner) - print(transformations) - kern = apply_transformation_list(kern, transformations) + #transformations = generate_transformation_list(k_inner_outer, k_inner_inner, + # i_inner_outer, i_inner_inner, + # j_inner) + #print(transformations) + #kern = apply_transformation_list(kern, transformations) kern = lp.set_options(kern, "no_numpy") + kern = lp.set_options(kern, "return_dict") # For some reason compyte will not install when using local pip - backend = "OPENCL" + #backend = "OPENCL" CUDA = backend == "CUDA" OPENCL = not CUDA @@ -173,10 +228,11 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, #kern = lp.set_options(kern, edit_code=True) code = lp.generate_code_v2(kern).device_code() mod = SourceModule(code, keep=True) - diff_fn = mod.get_function("diff") + diff_fn = mod.get_function("opt_diff") A_dev = curand((n_mat, n_out, n_in), dtype=fp_format, stream=stream) X_dev = curand((n_in, n_elem), dtype=fp_format, stream=stream) - B_dev = cuarray.GPUArray((n_mat, n_out, n_elem), fp_format) + B_dev = cuarray.GPUArray((n_mat,n_out, n_elem), fp_format) + #for i in range(3): # B_dev.append(cuarray.GPUArray((n_out, n_elem), fp_format) @@ -206,9 +262,19 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, #A_dev = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) #X_dev = cl.clrandom.rand(queue, (n_elem, n_in), dtype=fp_format) #B_dev = cl.array.Array(queue, (n_elem, n_out), dtype=fp_format) - A_dev = cl.clrandom.rand(queue, (n_mat, n_out, n_in), dtype=fp_format) + from pyopencl.tools import ImmediateAllocator + allocator = ImmediateAllocator(queue) X_dev = cl.clrandom.rand(queue, (n_in, n_elem), dtype=fp_format) - B_dev = cl.array.Array(queue, (n_mat, n_out, n_elem), dtype=fp_format) + #A_dev = cl.clrandom.rand(queue, (n_mat, n_out, n_in), dtype=fp_format) + #B_dev = cl.array.Array(queue, (n_mat, n_out, n_elem), dtype=fp_format, allocator=allocator) + from pytools.obj_array import make_obj_array + B_dev = [] + A_dev = [] + for i in range(n_mat): + B_dev.append(cl.array.Array(queue, (n_out, n_elem), dtype=fp_format, allocator=allocator)) + A_dev.append(cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format)) + B_dev = make_obj_array(B_dev) + A_dev = make_obj_array(A_dev) # Code for running binaries #device = queue.get_info(cl.command_queue_info.DEVICE) #with open("pocl_32x32.ptx","rb") as f: @@ -226,15 +292,21 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32), # None) - evt, B_dev = kern(queue, diff_mat=A_dev, vec=X_dev) - events.append(evt) + #print(B_dev) + kern(queue, diff_mat=A_dev, vec=X_dev, result=B_dev) + #print(B_dev) + #print(evt) + #exit() + #events.append(evt) elif CUDA: - diff_fn(B_dev, A_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) + diff_fn(B_dev, A_dev, X_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) + print(B_dev) if OPENCL: - cl.wait_for_events(events) + queue.finish() + #exit() + #cl.wait_for_events(events) elif CUDA: pycuda.autoinit.context.synchronize() - #exit() sum_time = 0.0 events = [] @@ -244,12 +316,13 @@ def runTest(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, X_dev.shape, (32,32), # None) - evt, B_dev = kern(queue, diff_mat=A_dev, vec=X_dev) - events.append(evt) + kern(queue, diff_mat=A_dev, vec=X_dev, result=B_dev) + #events.append(evt) elif CUDA: diff_fn(B_dev, A_dev, X_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) if OPENCL: - cl.wait_for_events(events) + queue.finish() + #cl.wait_for_events(events) elif CUDA: pycuda.autoinit.context.synchronize() @@ -443,17 +516,18 @@ def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), np.complex128: (16, "C128")} fp_bytes, fp_string = (8, "FP64") if fp_format == np.float64 else (4, "FP32") +""" to_test = True if to_test: - n_elem = 2**15 # 2**21 - pn = 6 + n_elem = 2**22#2**15 # 2**21 + pn = 5 print(len(equidistant_nodes(pn, 3)[1])) n_out = len(equidistant_nodes(pn, 3)[1]) n_in = len(equidistant_nodes(pn, 3)[1]) #settings = exhaustiveSearch(n_in, n_out, n_elem, 4*12*1024, fp_bytes=fp_bytes, # max_gflops=12288, device_memory_bandwidth=540) - settings = randomSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=60, + settings = randomSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=120, fp_format=fp_format, max_gflops=12288//2, device_memory_bandwidth=540) #settings = noSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180,1 @@ -462,8 +536,28 @@ def randomSearch(n_in, n_out, n_elem, sm_size, time_limit=float("inf"), print("FINAL RESULTS") print(settings) # Add functionality to write transformations to file +""" + +# Test existing optimizations +if __name__ == "__main__": + from __init__ import gen_diff_knl, load_transformations_from_file, apply_transformation_list -#for i in range(10): -# dev_arrays, avg_time = runTest(n_elem, n_in, n_out, kio, kii, iio, iii, ji) -# analyzeResult(n_out, n_in, n_elem, 12288, 540, avg_time) -# verifyResult(*dev_arrays) + """ + hjson_file = open(file_name) + #for i in range(2,8): + pn = 3 + n_out = len(equidistant_nodes(pn, 3)[1]) + n_in = len(equidistant_nodes(pn, 3)[1]) + n_elem = 1500282#2**20 + knl = gen_diff_knl_fortran2(3, n_elem, n_out, n_in, fp_format=fp_format) + trans =load_transformations_from_file(hjson_file, device_id, pn, fp_format=fp_format) + knl = apply_transformation_list(knl, trans) + print(lp.generate_code_v2(knl).device_code()) + dev_arrays, avg_time = runTestFortran(knl, n_elem, n_in, n_out, fp_format=fp_format, nruns=1) + #dev_arrays, avg_time = runTest(n_elem, n_in, n_out, kio, kii, iio, iii, ji) + analyzeResult(n_out, n_in, n_elem, 12288//2, 540, avg_time, fp_bytes=fp_bytes) + print(avg_time) + #verifyResult(*dev_arrays) + """ + + testBandwidth() diff --git a/grudge/loopy_dg_kernels/transform.hjson b/grudge/loopy_dg_kernels/transform.hjson index 0e1a1826f..a99af0875 100644 --- a/grudge/loopy_dg_kernels/transform.hjson +++ b/grudge/loopy_dg_kernels/transform.hjson @@ -56,7 +56,7 @@ ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], ["split_iname", ["i", 56], {outer_tag: "g.1", inner_tag: "l.1"}], ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], - #["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["vec", "j_outer,j_inner,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], 6:[ ["tag_inames", [[["m", "ilp"]]]], @@ -94,19 +94,20 @@ # Format: [Transformation, args, kwargs] ["tag_inames", [[["m", "ilp"]]]], ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["i", 10], {outer_tag: "g.1", inner_tag: "l.1"}], ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 3:[ ["tag_inames", [[["m", "ilp"]]]], - #["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], - # For tests - ["split_iname", ["k", 32], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + # For tests uncomment this + #["split_iname", ["k", 32], {outer_tag: "g.0", slabs:[0,1]}], ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["i", 20], {outer_tag: "g.1", inner_tag: "l.1"}], - #["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + # For tests comment this + ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 4:[ @@ -116,22 +117,15 @@ #["tag_array_axes", ["vec", "f,f"]], ["tag_inames", [[["m", "ilp"]]]], - #["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], - #["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["k", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["k_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], # See if these pass the tests - ["split_iname", ["k", 12], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["k_inner", 4], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + #["split_iname", ["k", 12], {outer_tag: "g.0", slabs:[0,1]}], + #["split_iname", ["k_inner", 4], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["i", 35], {outer_tag: "g.1", inner_tag: "l.1"}], ["add_prefetch", ["vec", "j,k_inner_outer,k_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], - - #["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], - #["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - #["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], - #["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], - ], 5:[ ["tag_inames", [[["m", "ilp"]]]], diff --git a/grudge/symbolic/operators.py b/grudge/symbolic/operators.py index b6db10eb6..79be91548 100644 --- a/grudge/symbolic/operators.py +++ b/grudge/symbolic/operators.py @@ -517,6 +517,10 @@ def matrix(out_element_group, in_element_group): weights = in_element_group.weights return np.einsum("j,ik,jk->ij", weights, vand_inv_t, o_vand) + @staticmethod + def matrices(out_element_group, in_element_group): + return [RefMassOperator.matrix(out_element_group, in_element_group)] + mapper_method = intern("map_ref_mass") @@ -529,6 +533,10 @@ def matrix(in_element_group, out_element_group): in_element_group.basis(), in_element_group.unit_nodes) + @staticmethod + def matrices(out_element_group, in_element_group): + return [RefInverseMassOperator.matrix(out_element_group, in_element_group)] + mapper_method = intern("map_ref_inverse_mass") # }}} diff --git a/requirements.txt b/requirements.txt index 7d3dfae06..58c8d0e72 100644 --- a/requirements.txt +++ b/requirements.txt @@ -11,7 +11,7 @@ git+https://github.com/inducer/dagrt.git#egg=dagrt git+https://github.com/inducer/leap.git#egg=leap git+https://github.com/inducer/meshpy.git#egg=meshpy git+https://github.com/inducer/modepy.git#egg=modepy -git+https://github.com/nchristensen/meshmode.git@dof_tagging#egg=meshmode == 2020.2.1 +git+https://github.com/nchristensen/meshmode.git@dof_tagging#egg=meshmode == 2021.1.1 git+https://github.com/inducer/pyvisfile.git#egg=pyvisfile git+https://github.com/inducer/pymetis.git#egg=pymetis git+https://github.com/illinois-ceesd/logpyle.git#egg=logpyle diff --git a/setup.py b/setup.py index a8cf22bdd..6e26954b0 100644 --- a/setup.py +++ b/setup.py @@ -50,7 +50,7 @@ def main(): "pytest>=2.3", "pytools>=2021.1", "modepy>=2013.3", - "meshmode>=2020.2.1", + "meshmode>=2021.1.1", "pyopencl>=2013.1", "pymbolic>=2013.2", "loopy>=2020.2.2", From 7b0b92539fe7d83f1949df5aba521cd82ba776ce Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Sun, 21 Feb 2021 16:36:51 -0600 Subject: [PATCH 053/253] Generalize transformation logic --- grudge/execution.py | 4 +- grudge/grudge_array_context.py | 37 +++- grudge/loopy_dg_kernels/__init__.py | 23 ++- grudge/loopy_dg_kernels/device_mappings.hjson | 8 + grudge/loopy_dg_kernels/diff.hjson | 162 +++++++++++++++++ .../elwise_linear_transform.hjson | 147 +++++++++++++++ grudge/loopy_dg_kernels/transform.hjson | 171 ------------------ 7 files changed, 363 insertions(+), 189 deletions(-) create mode 100644 grudge/loopy_dg_kernels/device_mappings.hjson create mode 100644 grudge/loopy_dg_kernels/diff.hjson create mode 100644 grudge/loopy_dg_kernels/elwise_linear_transform.hjson delete mode 100644 grudge/loopy_dg_kernels/transform.hjson diff --git a/grudge/execution.py b/grudge/execution.py index 9e0816b8e..b4f966433 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -266,13 +266,13 @@ def map_ref_diff_base(self, op, field_expr): raise NotImplementedError( "differentiation should be happening in batched form") - def map_elementwise_linear(self, op, field_expr): + def map_elementwise_linear_new(self, op, field_expr): insn = DiffBatchAssign(names=("elwise_linear",), operators=(op,), field=field_expr) out, _ = self.map_insn_diff_batch_assign(insn) return out[0][1] - def map_elementwise_linear_old(self, op, field_expr): + def map_elementwise_linear(self, op, field_expr): field = self.rec(field_expr) from grudge.tools import is_zero diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index f3cf2080c..153d04e12 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -5,6 +5,9 @@ import loopy as lp import pyopencl.array as cla import grudge.loopy_dg_kernels as dgk +from numpy import prod +import hjson +import numpy as np #from grudge.loopy_dg_kernels.run_tests import analyzeResult @@ -17,6 +20,12 @@ ctof_knl = lp.make_copy_kernel("f,f", old_dim_tags="c,c") ftoc_knl = lp.make_copy_kernel("c,c", old_dim_tags="f,f") +def get_transformation_id(device_id): + hjson_file = pkg_resources.open_text(dgk, "device_mappings.hjson") + hjson_text = hjson_file.read() + hjson_file.close() + od = hjson.loads(hjson_text) + return od[device_id] class VecIsDOFArray(Tag): pass @@ -72,10 +81,10 @@ def transform_loopy_program(self, program): if program.name == "opt_diff": # TODO: Dynamically determine device id, - # don't hardcode path to transform.hjson. - # Also get pn from program - hjson_file = pkg_resources.open_text(dgk, "transform.hjson") + # Rename this file + hjson_file = pkg_resources.open_text(dgk, "diff.hjson") device_id = "NVIDIA Titan V" + transform_id = get_transformation_id(device_id) pn = -1 fp_format = None @@ -100,8 +109,12 @@ def transform_loopy_program(self, program): # Should throw an error #exit() + # Probably need to generalize this + fp_string = "FP64" if fp_format == np.float64 else "FP32" + indices = [transform_id, str(3), fp_string, str(pn)] transformations = dgk.load_transformations_from_file(hjson_file, - device_id, pn, fp_format=fp_format) + indices)#transform_id, fp_string, pn) + hjson_file.close() program = dgk.apply_transformation_list(program, transformations) elif "actx_special" in program.name: program = lp.split_iname(program, "i0", 512, outer_tag="g.0", @@ -138,6 +151,22 @@ def transform_loopy_program(self, program): return program + def call_loopy(self, program, **kwargs): + evt, result = super().call_loopy(program, **kwargs) + evt.wait() + dt = (evt.profile.end - evt.profile.start) / 1e9 + nbytes = 0 + for val in kwargs.values(): + if isinstance(val, lp.ArrayArg): + nbytes += prod(val.shape)*8 + for val in result.values(): + nbytes += prod(val.shape)*8 + + bw = nbytes / dt / 1e9 + + print("Kernel {}, Time {}, Bytes {}, Bandwidth {}".format(program.name, dt, nbytes, bw)) + return evt, result + ''' def call_loopy(self, program, **kwargs): if program.name == "opt_diff": diff --git a/grudge/loopy_dg_kernels/__init__.py b/grudge/loopy_dg_kernels/__init__.py index 802bf6c72..8800b1492 100644 --- a/grudge/loopy_dg_kernels/__init__.py +++ b/grudge/loopy_dg_kernels/__init__.py @@ -39,13 +39,13 @@ def gen_diff_knl_fortran2(n_mat, n_elem, n_in, n_out, fp_format=np.float32, @memoize_in(gen_diff_knl_fortran2, "_gen_diff_knl") def _gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format): knl = lp.make_kernel( - """{[m,k,i,j]: - 0<=m Date: Sun, 21 Feb 2021 23:17:20 -0600 Subject: [PATCH 054/253] Pull out elwise_linear kernel for separate tuning --- examples/wave/wave-eager.py | 6 +- grudge/grudge_array_context.py | 1 + grudge/loopy_dg_kernels/__init__.py | 20 +++ .../elwise_linear_transform.hjson | 136 +++++++++--------- grudge/loopy_dg_kernels/run_tests.py | 124 +++++++++++++++- 5 files changed, 213 insertions(+), 74 deletions(-) diff --git a/examples/wave/wave-eager.py b/examples/wave/wave-eager.py index af30b95bd..5803b9b76 100644 --- a/examples/wave/wave-eager.py +++ b/examples/wave/wave-eager.py @@ -114,15 +114,15 @@ def bump(actx, discr, t=0): def main(): cl_ctx = cl.create_some_context() - queue = cl.CommandQueue(cl_ctx) + queue = cl.CommandQueue(cl_ctx, properties=cl.command_queue_properties.PROFILING_ENABLE) from pyopencl.tools import ImmediateAllocator actx = GrudgeArrayContext(queue, allocator=ImmediateAllocator(queue)) dim = 3 - nel_1d = 2**4 + nel_1d = 2**5 from meshmode.mesh.generation import generate_regular_rect_mesh mesh = generate_regular_rect_mesh( - coord_dtype=np.float32, + coord_dtype=np.float64, a=(-0.5,)*dim, b=(0.5,)*dim, n=(nel_1d,)*dim) diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index 153d04e12..66a1def07 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -156,6 +156,7 @@ def call_loopy(self, program, **kwargs): evt.wait() dt = (evt.profile.end - evt.profile.start) / 1e9 nbytes = 0 + # Could probably just use program.args for val in kwargs.values(): if isinstance(val, lp.ArrayArg): nbytes += prod(val.shape)*8 diff --git a/grudge/loopy_dg_kernels/__init__.py b/grudge/loopy_dg_kernels/__init__.py index 8800b1492..e3bc2d03a 100644 --- a/grudge/loopy_dg_kernels/__init__.py +++ b/grudge/loopy_dg_kernels/__init__.py @@ -30,6 +30,26 @@ import loopy.options loopy.options.ALLOW_TERMINAL_COLORS = False +def gen_elwise_linear_knl(n_elem, n_in, n_out, fp_format): + + knl = lp.make_kernel( + """{[iel, idof, j]: + 0<=iel Date: Mon, 22 Feb 2021 03:28:43 -0600 Subject: [PATCH 055/253] optimize elwise_linear --- .../elwise_linear_transform.hjson | 62 ++++++++++++------- grudge/loopy_dg_kernels/run_tests.py | 26 ++++---- 2 files changed, 52 insertions(+), 36 deletions(-) diff --git a/grudge/loopy_dg_kernels/elwise_linear_transform.hjson b/grudge/loopy_dg_kernels/elwise_linear_transform.hjson index f689119a0..2d5c907c3 100644 --- a/grudge/loopy_dg_kernels/elwise_linear_transform.hjson +++ b/grudge/loopy_dg_kernels/elwise_linear_transform.hjson @@ -14,10 +14,12 @@ ], 3:[ ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - ["split_iname", ["idof", 20], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 20], {outer_tag: "g.1", inner_tag: "l.1"}], + #["split_iname", ["idof", 20], {outer_tag: "g.1"}], + #["split_iname", ["idof_inner", 10], {outer_tag: "ilp", inner_tag: "l.1"}], ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + #["add_prefetch", ["mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 4:[ # Move this to array context? @@ -77,21 +79,23 @@ FP64: { 2:[ # Format: [Transformation, args, kwargs] - ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["iel", 128], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["idof", 10], {outer_tag: "g.1", inner_tag: "l.1"}], ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], ["add_prefetch", ["mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 3:[ - ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel", 128], {outer_tag: "g.0", slabs:[0,1]}], # For tests uncomment this #["split_iname", ["iel", 32], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - ["split_iname", ["idof", 20], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,0]}], + #["split_iname", ["idof", 10], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["idof", 20], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 10], {outer_tag: "ilp", inner_tag: "l.1"}], # For tests comment this ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + #["add_prefetch", ["mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 4:[ # Move this to array context? @@ -100,41 +104,53 @@ #["tag_array_axes", ["vec", "f,f"]], ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], # See if these pass the tests #["split_iname", ["iel", 12], {outer_tag: "g.0", slabs:[0,1]}], #["split_iname", ["iel_inner", 4], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - ["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + #["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["idof", 35], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 7], {outer_tag: "ilp", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + #["add_prefetch", ["mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 5:[ ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs: [0,1]}], ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], - ["split_iname", ["idof", 56], {outer_tag: "g.1", inner_tag: "l.1"}], - ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], - ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], + ["split_iname", ["idof", 56], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 8], {outer_tag: "ilp", inner_tag: "l.1"}], + + #["split_iname", ["idof", 56], {outer_tag: "g.1", inner_tag: "l.1"}], + #["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], ] 6:[ ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - ["split_iname", ["idof", 42], {outer_tag: "g.1"}], - ["split_iname", ["idof_inner", 14], {outer_tag: "ilp", inner_tag: "l.1"}], - ["split_iname", ["j", 14], {outer_tag: "for", inner_tag: "for"}], + ["split_iname", ["idof", 84], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 12], {outer_tag: "ilp", inner_tag: "l.1"}], + ["split_iname", ["j", 12], {outer_tag: "for", inner_tag: "for"}], ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + #["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], ], 7:[ ["split_iname", ["iel", 48], {outer_tag: "g.0", slabs: [0,1]}], - ["split_iname", ["iel_inner", 8], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], - ["split_iname", ["idof", 120], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["idof", 120], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 12], {outer_tag: "ilp", inner_tag: "l.1"}], + + #["split_iname", ["idof", 120], {outer_tag: "g.1", inner_tag: "l.1"}], ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + #["add_prefetch", ["mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index 82979d4f2..8a5ed052b 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -85,9 +85,6 @@ def testBandwidth(fp_format=np.float64, nruns=1): print("INCORRECT COPY") def test_elwise_linear(kern, backend="OPENCL", nruns=10): -#def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, -# i_inner_inner, j_inner, backend="OPENCL", fp_format=np.float32, nruns=10): - #kern = gen_diff_knl(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, # i_inner_outer, i_inner_inner, j_inner) kern = lp.set_options(kern, "no_numpy") @@ -121,8 +118,7 @@ def test_elwise_linear(kern, backend="OPENCL", nruns=10): start = time.time() for i in range(nruns): - diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, - block=(yblk, xblk, 1), grid=(ygrid, xgrid)) + diff_fn(B_dev, A_dev, X_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) pycuda.autoinit.context.synchronize() @@ -130,8 +126,8 @@ def test_elwise_linear(kern, backend="OPENCL", nruns=10): elif OPENCL: platform = cl.get_platforms() my_gpu_devices = platform[0].get_devices(device_type=cl.device_type.GPU) - ctx = cl.Context(devices=my_gpu_devices) - #ctx = cl.create_some_context(interactive=True) + #ctx = cl.Context(devices=my_gpu_devices) + ctx = cl.create_some_context(interactive=True) queue = cl.CommandQueue(ctx) #kern = lp.set_options(kern, edit_code=False) #Only works for OpenCL? @@ -416,6 +412,7 @@ def runTest(kern, n_elem, n_in, n_out, backend="OPENCL", fp_format=np.float32, n sum_time = time.time() - start avg_time = sum_time / nruns + return (B_dev, A_dev, X_dev), avg_time @@ -424,7 +421,8 @@ def analyze_knl_bandwidth(knl, avg_time): for arg in knl.args: print(arg.name) entries = np.prod((arg.shape)) - fp_bytes = 8 if arg.dtype == np.float64 else 4 + print(type(arg.dtype)) + fp_bytes = 8 if arg.dtype.dtype == np.float64 else 4 nbytes += fp_bytes * entries bw = nbytes / avg_time / 1e9 print("Bandwidth: {} GB/s".format(bw)) @@ -665,17 +663,19 @@ def get_transformation_id(device_id): #testBandwidth() - pn = 2 + pn = 7 n_out = len(equidistant_nodes(pn,3)[1]) n_in = n_out - n_elem = 2**25 - knl = gen_elwise_linear_knl(n_elem, n_in, n_out, np.float64) + n_elem = 2**15 + fp_format = np.float64 + fp_string = "FP64" if fp_format == np.float64 else "FP32" + knl = gen_elwise_linear_knl(n_elem, n_in, n_out, fp_format) tid = get_transformation_id("NVIDIA Titan V") hjson_file = open("elwise_linear_transform.hjson") - trans = load_transformations_from_file(hjson_file, [tid, "FP64", str(pn)]) + trans = load_transformations_from_file(hjson_file, [tid, fp_string, str(pn)]) knl = apply_transformation_list(knl, trans) #print(knl) - _, avg_time = test_elwise_linear(knl) + _, avg_time = test_elwise_linear(knl, backend="OPENCL") print(avg_time) analyze_knl_bandwidth(knl, avg_time) From 855ce4946da369ce0a48b7b3bc90926346a3bd47 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 22 Feb 2021 14:24:38 -0600 Subject: [PATCH 056/253] Add elwise linear transformation to array context --- grudge/execution.py | 20 ++++++++++----- grudge/grudge_array_context.py | 46 +++++++++++++++++++++++----------- 2 files changed, 46 insertions(+), 20 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index b4f966433..e0c41c303 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -280,7 +280,7 @@ def map_elementwise_linear(self, op, field_expr): return 0 @memoize_in(self.array_context, (ExecutionMapper, "elwise_linear_knl")) - def prg(): + def prg(nelements, nnodes, fp_format): result = make_loopy_program( """{[iel, idof, j]: @@ -289,13 +289,17 @@ def prg(): 0<=j Date: Mon, 22 Feb 2021 21:01:12 -0600 Subject: [PATCH 057/253] Make warmup rounds optional --- grudge/loopy_dg_kernels/diff.hjson | 6 +- grudge/loopy_dg_kernels/run_tests.py | 139 +++++++++++++-------------- 2 files changed, 73 insertions(+), 72 deletions(-) diff --git a/grudge/loopy_dg_kernels/diff.hjson b/grudge/loopy_dg_kernels/diff.hjson index 8543c5441..50cad7589 100644 --- a/grudge/loopy_dg_kernels/diff.hjson +++ b/grudge/loopy_dg_kernels/diff.hjson @@ -1,3 +1,4 @@ +# transform ID -> dimension -> fp format -> pn { 72a3ce98-5d21-48bf-b402-6ee96bafd1b6: { description: "Transformations for the NVIDIA Titan V" @@ -98,10 +99,11 @@ # For tests uncomment this #["split_iname", ["iel", 32], {outer_tag: "g.0", slabs:[0,1]}], ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - ["split_iname", ["idof", 20], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["idof", 20], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 10], {outer_tag: "ilp", inner_tag: "l.1"}], # For tests comment this ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 4:[ # Move this to array context? diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index 8a5ed052b..e60305995 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -84,7 +84,7 @@ def testBandwidth(fp_format=np.float64, nruns=1): if clsum(inpt - outpt) != 0: print("INCORRECT COPY") -def test_elwise_linear(kern, backend="OPENCL", nruns=10): +def test_elwise_linear(kern, backend="OPENCL", nruns=10, warmup=True): #kern = gen_diff_knl(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, # i_inner_outer, i_inner_inner, j_inner) kern = lp.set_options(kern, "no_numpy") @@ -112,9 +112,10 @@ def test_elwise_linear(kern, backend="OPENCL", nruns=10): B_dev = cuarray.GPUArray((n_out, n_elem), fp_format) print(code) - for i in range(2): - diff_fn(B_dev, A_dev, X_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) - pycuda.autoinit.context.synchronize() + if warmup: + for i in range(2): + diff_fn(B_dev, A_dev, X_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) + pycuda.autoinit.context.synchronize() start = time.time() for i in range(nruns): @@ -150,9 +151,10 @@ def test_elwise_linear(kern, backend="OPENCL", nruns=10): B_dev = cl.array.Array(queue, (n_elem, n_out), dtype=fp_format, allocator=allocator,order="F") A_dev = cl.clrandom.rand(queue, (n_out, n_in), dtype=fp_format) - for i in range(2): - kern(queue, result=B_dev, mat=A_dev, vec=X_dev) - queue.finish() + if warmup: + for i in range(2): + kern(queue, result=B_dev, mat=A_dev, vec=X_dev) + queue.finish() start = time.time() for i in range(nruns): @@ -168,17 +170,17 @@ def test_elwise_linear(kern, backend="OPENCL", nruns=10): -def runTestFortran(kern, n_elem, n_in, n_out, backend="OPENCL", fp_format=np.float32, nruns=10): -#def runTestFortran(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, i_inner_outer, -# i_inner_inner, j_inner, backend="OPENCL", fp_format=np.float32, nruns=10): +def runTestFortran(kern, backend="OPENCL", nruns=10, warmup=True): + for arg in kern.args: + if arg.name == "diff_mat": + n_mat, n_out, n_in = arg.shape + elif arg.name == "vec": + n_elem, _ = arg.shape + fp_format = arg.dtype.dtype - #kern = gen_diff_knl(n_elem, n_in, n_out, k_inner_outer, k_inner_inner, - # i_inner_outer, i_inner_inner, j_inner) kern = lp.set_options(kern, "no_numpy") kern = lp.set_options(kern, "return_dict") - n_mat = 3 - CUDA = (backend == "CUDA") OPENCL = not CUDA @@ -202,9 +204,9 @@ def runTestFortran(kern, n_elem, n_in, n_out, backend="OPENCL", fp_format=np.flo platform = cl.get_platforms() my_gpu_devices = platform[0].get_devices(device_type=cl.device_type.GPU) - ctx = cl.Context(devices=my_gpu_devices) - #ctx = cl.create_some_context(interactive=True) - queue = cl.CommandQueue(ctx) + #ctx = cl.Context(devices=my_gpu_devices) + ctx = cl.create_some_context(interactive=True) + queue = cl.CommandQueue(ctx, properties=cl.command_queue_properties.PROFILING_ENABLE) #kern = lp.set_options(kern, edit_code=False) #Only works for OpenCL? kern = lp.set_options(kern, "write_code") # Output code before editing it @@ -243,16 +245,14 @@ def runTestFortran(kern, n_elem, n_in, n_out, backend="OPENCL", fp_format=np.flo #prg = prg.build() #diff_knl = prg.diff - #events = [] - for i in range(2): - if OPENCL: - #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) - #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, - # X_dev.shape, (32,32),None) - kern(queue, result=B_dev, diff_mat=A_dev, vec=X_dev) - elif CUDA: - diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, - block=(yblk, xblk, 1), grid=(ygrid, xgrid)) + if warmup==True: + for i in range(2): + if OPENCL: + kern(queue, result=B_dev, diff_mat=A_dev, vec=X_dev) + elif CUDA: + diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, + block=(yblk, xblk, 1), grid=(ygrid, xgrid)) + if OPENCL: queue.finish() elif CUDA: @@ -263,10 +263,9 @@ def runTestFortran(kern, n_elem, n_in, n_out, backend="OPENCL", fp_format=np.flo start = time.time() for i in range(nruns): if OPENCL: - #diff_knl.set_args(B_dev.data, A_dev.data, X_dev.data) - #evt = cl.enqueue_nd_range_kernel(queue, diff_knl, - # X_dev.shape, (32,32),None) - kern(queue, result=B_dev, diff_mat=A_dev, vec=X_dev) + evt, _ = kern(queue, result=B_dev, diff_mat=A_dev, vec=X_dev) + evt.wait() + sum_time += (evt.profile.end - evt.profile.start)/ 1e9 elif CUDA: diff_fn(B_dev1, B_dev2, B_dev3, A_dev1, A_dev2, A_dev3, X_dev, block=(yblk, xblk, 1), grid=(ygrid, xgrid)) @@ -274,8 +273,8 @@ def runTestFortran(kern, n_elem, n_in, n_out, backend="OPENCL", fp_format=np.flo queue.finish() elif CUDA: pycuda.autoinit.context.synchronize() + sum_time = time.time() - start - sum_time = time.time() - start avg_time = sum_time / nruns return (B_dev, A_dev, X_dev), avg_time @@ -609,52 +608,52 @@ def get_transformation_id(device_id): od = hjson.loads(hjson_text) return od[device_id] -# Testing code -file_name = "transform.hjson" -device_id = "NVIDIA Titan V" -fp_format = np.float64 -fp_format_dict = {np.float32: (4, "FP32"), np.float64: (8, "FP64"), - np.complex128: (16, "C128")} -fp_bytes, fp_string = (8, "FP64") if fp_format == np.float64 else (4, "FP32") - -""" -to_test = True -if to_test: - n_elem = 2**22#2**15 # 2**21 - pn = 5 - print(len(equidistant_nodes(pn, 3)[1])) - n_out = len(equidistant_nodes(pn, 3)[1]) - n_in = len(equidistant_nodes(pn, 3)[1]) - - #settings = exhaustiveSearch(n_in, n_out, n_elem, 4*12*1024, fp_bytes=fp_bytes, - # max_gflops=12288, device_memory_bandwidth=540) - settings = randomSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=120, - fp_format=fp_format, max_gflops=12288//2, - device_memory_bandwidth=540) - #settings = noSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180,1 - # fp_bytes=fp_bytes, max_gflops=12288, - # device_memory_bandwidth=540) - print("FINAL RESULTS") - print(settings) -# Add functionality to write transformations to file -""" - # Test existing optimizations if __name__ == "__main__": from __init__ import gen_diff_knl, load_transformations_from_file, apply_transformation_list + + # Testing code + device_id = "NVIDIA Titan V" + tid = get_transformation_id("NVIDIA Titan V") + fp_format = np.float64 + fp_format_dict = {np.float32: (4, "FP32"), np.float64: (8, "FP64"), + np.complex128: (16, "C128")} + fp_bytes, fp_string = (8, "FP64") if fp_format == np.float64 else (4, "FP32") """ - hjson_file = open(file_name) + to_test = True + if to_test: + n_elem = 2**22#2**15 # 2**21 + pn = 5 + print(len(equidistant_nodes(pn, 3)[1])) + n_out = len(equidistant_nodes(pn, 3)[1]) + n_in = len(equidistant_nodes(pn, 3)[1]) + + #settings = exhaustiveSearch(n_in, n_out, n_elem, 4*12*1024, fp_bytes=fp_bytes, + # max_gflops=12288, device_memory_bandwidth=540) + settings = randomSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=120, + fp_format=fp_format, max_gflops=12288//2, + device_memory_bandwidth=540) + #settings = noSearch(n_in, n_out, n_elem, 4*12*1024, time_limit=180,1 + # fp_bytes=fp_bytes, max_gflops=12288, + # device_memory_bandwidth=540) + print("FINAL RESULTS") + print(settings) + # Add functionality to write transformations to file + """ + """ + hjson_file = open("diff.hjson") #for i in range(2,8): pn = 3 n_out = len(equidistant_nodes(pn, 3)[1]) n_in = len(equidistant_nodes(pn, 3)[1]) - n_elem = 1500282#2**20 + n_elem = 178746 # 2**20 knl = gen_diff_knl_fortran2(3, n_elem, n_out, n_in, fp_format=fp_format) - trans =load_transformations_from_file(hjson_file, device_id, pn, fp_format=fp_format) + trans = load_transformations_from_file(hjson_file, [tid, str(3), fp_string, str(pn)]) knl = apply_transformation_list(knl, trans) print(lp.generate_code_v2(knl).device_code()) - dev_arrays, avg_time = runTestFortran(knl, n_elem, n_in, n_out, fp_format=fp_format, nruns=1) + + dev_arrays, avg_time = runTestFortran(knl, nruns=10, warmup=True) #dev_arrays, avg_time = runTest(n_elem, n_in, n_out, kio, kii, iio, iii, ji) analyzeResult(n_out, n_in, n_elem, 12288//2, 540, avg_time, fp_bytes=fp_bytes) print(avg_time) @@ -663,19 +662,19 @@ def get_transformation_id(device_id): #testBandwidth() - pn = 7 + # Test elwise linear + pn = 3 n_out = len(equidistant_nodes(pn,3)[1]) n_in = n_out - n_elem = 2**15 + n_elem = 178746 fp_format = np.float64 fp_string = "FP64" if fp_format == np.float64 else "FP32" knl = gen_elwise_linear_knl(n_elem, n_in, n_out, fp_format) - tid = get_transformation_id("NVIDIA Titan V") hjson_file = open("elwise_linear_transform.hjson") trans = load_transformations_from_file(hjson_file, [tid, fp_string, str(pn)]) knl = apply_transformation_list(knl, trans) #print(knl) - _, avg_time = test_elwise_linear(knl, backend="OPENCL") + _, avg_time = test_elwise_linear(knl, backend="OPENCL", nruns=1, warmup=False) print(avg_time) analyze_knl_bandwidth(knl, avg_time) From 694f6002de28f0fddedc9f8c95d46441a1733465 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 22 Feb 2021 21:15:13 -0600 Subject: [PATCH 058/253] Separate diff kernel into different files for each dimension --- grudge/grudge_array_context.py | 4 +- .../{diff.hjson => diff_1d_transform.hjson} | 3 - .../loopy_dg_kernels/diff_2d_transform.hjson | 161 ++++++++++++++++++ .../loopy_dg_kernels/diff_3d_transform.hjson | 161 ++++++++++++++++++ grudge/loopy_dg_kernels/run_tests.py | 4 +- 5 files changed, 326 insertions(+), 7 deletions(-) rename grudge/loopy_dg_kernels/{diff.hjson => diff_1d_transform.hjson} (99%) create mode 100644 grudge/loopy_dg_kernels/diff_2d_transform.hjson create mode 100644 grudge/loopy_dg_kernels/diff_3d_transform.hjson diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index 7f3fc4803..ffdbcf707 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -92,7 +92,7 @@ def transform_loopy_program(self, program): if program.name == "opt_diff": # TODO: Dynamically determine device id, # Rename this file - hjson_file = pkg_resources.open_text(dgk, "diff.hjson") + hjson_file = pkg_resources.open_text(dgk, "diff_3d_transform.hjson") pn = -1 fp_format = None for arg in program.args: @@ -110,7 +110,7 @@ def transform_loopy_program(self, program): # Probably need to generalize this fp_string = get_fp_string(fp_format) - indices = [transform_id, str(3), fp_string, str(pn)] + indices = [transform_id, fp_string, str(pn)] transformations = dgk.load_transformations_from_file(hjson_file, indices)#transform_id, fp_string, pn) hjson_file.close() diff --git a/grudge/loopy_dg_kernels/diff.hjson b/grudge/loopy_dg_kernels/diff_1d_transform.hjson similarity index 99% rename from grudge/loopy_dg_kernels/diff.hjson rename to grudge/loopy_dg_kernels/diff_1d_transform.hjson index 50cad7589..5fdb285c9 100644 --- a/grudge/loopy_dg_kernels/diff.hjson +++ b/grudge/loopy_dg_kernels/diff_1d_transform.hjson @@ -2,8 +2,6 @@ { 72a3ce98-5d21-48bf-b402-6ee96bafd1b6: { description: "Transformations for the NVIDIA Titan V" - # Number of dimensions - 3: { # 64-bit or 32-bit kernel FP32:{ # Polynomial order @@ -158,7 +156,6 @@ #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], ] } - } } 1d7cab16-19bd-4474-95f2-44ed1c0e60df: {} } diff --git a/grudge/loopy_dg_kernels/diff_2d_transform.hjson b/grudge/loopy_dg_kernels/diff_2d_transform.hjson new file mode 100644 index 000000000..5fdb285c9 --- /dev/null +++ b/grudge/loopy_dg_kernels/diff_2d_transform.hjson @@ -0,0 +1,161 @@ +# transform ID -> dimension -> fp format -> pn +{ + 72a3ce98-5d21-48bf-b402-6ee96bafd1b6: { + description: "Transformations for the NVIDIA Titan V" + # 64-bit or 32-bit kernel + FP32:{ + # Polynomial order + 2:[ + # Format: [Transformation, args, kwargs] + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 10], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 3:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 20], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 4:[ + # Move this to array context? + #["tag_array_axes", ["diff_mat", "sep,c,c"]], + #["tag_array_axes", ["result", "sep,f,f"]], + #["tag_array_axes", ["vec", "f,f"]], + + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + + #["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + #["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + #["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + #["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + + ], + 5:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 192], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["idof", 56], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], + 6:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 128], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 42], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 14], {outer_tag: "ilp", inner_tag: "l.1"}], + ["split_iname", ["j", 14], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + + #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], + #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ], + 7:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 96], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["iel_inner", 8], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["idof", 120], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + + #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], + #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ] + } + # Not optimized, just copied from 32 bit version + FP64: { + 2:[ + # Format: [Transformation, args, kwargs] + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 10], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 3:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + # For tests uncomment this + #["split_iname", ["iel", 32], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 20], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 10], {outer_tag: "ilp", inner_tag: "l.1"}], + # For tests comment this + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 4:[ + # Move this to array context? + #["tag_array_axes", ["diff_mat", "sep,c,c"]], + #["tag_array_axes", ["result", "sep,f,f"]], + #["tag_array_axes", ["vec", "f,f"]], + + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + # See if these pass the tests + #["split_iname", ["iel", 12], {outer_tag: "g.0", slabs:[0,1]}], + #["split_iname", ["iel_inner", 4], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + + ["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 5:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["idof", 56], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], + ] + 6:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 42], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 14], {outer_tag: "ilp", inner_tag: "l.1"}], + ["split_iname", ["j", 14], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ], + 7:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 48], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["iel_inner", 8], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["idof", 120], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + + #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], + #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ] + } + } + 1d7cab16-19bd-4474-95f2-44ed1c0e60df: {} +} diff --git a/grudge/loopy_dg_kernels/diff_3d_transform.hjson b/grudge/loopy_dg_kernels/diff_3d_transform.hjson new file mode 100644 index 000000000..5fdb285c9 --- /dev/null +++ b/grudge/loopy_dg_kernels/diff_3d_transform.hjson @@ -0,0 +1,161 @@ +# transform ID -> dimension -> fp format -> pn +{ + 72a3ce98-5d21-48bf-b402-6ee96bafd1b6: { + description: "Transformations for the NVIDIA Titan V" + # 64-bit or 32-bit kernel + FP32:{ + # Polynomial order + 2:[ + # Format: [Transformation, args, kwargs] + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 10], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 3:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 20], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 4:[ + # Move this to array context? + #["tag_array_axes", ["diff_mat", "sep,c,c"]], + #["tag_array_axes", ["result", "sep,f,f"]], + #["tag_array_axes", ["vec", "f,f"]], + + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + + #["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + #["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + #["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + #["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + + ], + 5:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 192], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["idof", 56], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], + 6:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 128], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 42], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 14], {outer_tag: "ilp", inner_tag: "l.1"}], + ["split_iname", ["j", 14], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + + #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], + #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ], + 7:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 96], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["iel_inner", 8], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["idof", 120], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + + #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], + #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ] + } + # Not optimized, just copied from 32 bit version + FP64: { + 2:[ + # Format: [Transformation, args, kwargs] + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 10], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 3:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + # For tests uncomment this + #["split_iname", ["iel", 32], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 20], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 10], {outer_tag: "ilp", inner_tag: "l.1"}], + # For tests comment this + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 4:[ + # Move this to array context? + #["tag_array_axes", ["diff_mat", "sep,c,c"]], + #["tag_array_axes", ["result", "sep,f,f"]], + #["tag_array_axes", ["vec", "f,f"]], + + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + # See if these pass the tests + #["split_iname", ["iel", 12], {outer_tag: "g.0", slabs:[0,1]}], + #["split_iname", ["iel_inner", 4], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + + ["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], + ], + 5:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["idof", 56], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "mat1fp", default_tag: "unr"}], + ] + 6:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], + ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 42], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 14], {outer_tag: "ilp", inner_tag: "l.1"}], + ["split_iname", ["j", 14], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ], + 7:[ + ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 48], {outer_tag: "g.0", slabs: [0,1]}], + ["split_iname", ["iel_inner", 8], {outer_tag: "ilp", inner_tag: "l.0", slabs: [0,1]}], + ["split_iname", ["idof", 120], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["j", 8], {outer_tag: "for", inner_tag: "for"}], + ["add_prefetch", ["vec", "j_outer,j_inner,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], + ["add_prefetch", ["diff_mat", "j_inner"], {temporary_name: "matfp", default_tag: "unr"}], + + #["add_prefetch", ["mat2", "j_inner"], {temporary_name: "mat2fp", default_tag: "unr"}], + #["add_prefetch", ["mat3", "j_inner"], {temporary_name: "mat3fp", default_tag: "unr"}], + #["rename_iname", ["mat3_dim_1", "mat1_dim_1"], {existing_ok: true}], + #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], + ] + } + } + 1d7cab16-19bd-4474-95f2-44ed1c0e60df: {} +} diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index e60305995..cfe7af2d7 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -642,14 +642,14 @@ def get_transformation_id(device_id): # Add functionality to write transformations to file """ """ - hjson_file = open("diff.hjson") + hjson_file = open("diff_3d_transform.hjson") #for i in range(2,8): pn = 3 n_out = len(equidistant_nodes(pn, 3)[1]) n_in = len(equidistant_nodes(pn, 3)[1]) n_elem = 178746 # 2**20 knl = gen_diff_knl_fortran2(3, n_elem, n_out, n_in, fp_format=fp_format) - trans = load_transformations_from_file(hjson_file, [tid, str(3), fp_string, str(pn)]) + trans = load_transformations_from_file(hjson_file, [tid, fp_string, str(pn)]) knl = apply_transformation_list(knl, trans) print(lp.generate_code_v2(knl).device_code()) From 9d232eec8663d9524177d5ab4ff0bd9dc3dc9244 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 22 Feb 2021 21:49:51 -0600 Subject: [PATCH 059/253] add preliminary 1d and 2d transformation for pn=2,3,4 --- grudge/execution.py | 1 + .../loopy_dg_kernels/diff_1d_transform.hjson | 35 +++------------- .../loopy_dg_kernels/diff_2d_transform.hjson | 16 ++----- .../loopy_dg_kernels/diff_3d_transform.hjson | 3 +- grudge/loopy_dg_kernels/run_tests.py | 42 ++++++++++--------- 5 files changed, 34 insertions(+), 63 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index e0c41c303..d5e2107aa 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -599,6 +599,7 @@ def prg(n_mat): # TODO Add fallback transformations to hjson file # TODO Use the above kernel rather than the one in loopy_dg_kernels # TODO Add transformations for other numbers of operators + print(noperators) if noperators == 3 and (field.entry_dtype == np.float64 or field.entry_dtype == np.float32) \ and isinstance(self.array_context, GrudgeArrayContext): diff --git a/grudge/loopy_dg_kernels/diff_1d_transform.hjson b/grudge/loopy_dg_kernels/diff_1d_transform.hjson index 5fdb285c9..a400500ee 100644 --- a/grudge/loopy_dg_kernels/diff_1d_transform.hjson +++ b/grudge/loopy_dg_kernels/diff_1d_transform.hjson @@ -1,4 +1,4 @@ -# transform ID -> dimension -> fp format -> pn +# transform ID -> fp format -> pn { 72a3ce98-5d21-48bf-b402-6ee96bafd1b6: { description: "Transformations for the NVIDIA Titan V" @@ -23,24 +23,12 @@ ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 4:[ - # Move this to array context? - #["tag_array_axes", ["diff_mat", "sep,c,c"]], - #["tag_array_axes", ["result", "sep,f,f"]], - #["tag_array_axes", ["vec", "f,f"]], - - ["tag_inames", [[["imatrix", "ilp"]]]], + ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], ["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], - - #["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], - #["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - #["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], - #["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], - + ["add_prefetch", ["mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 5:[ ["tag_inames", [[["imatrix", "ilp"]]]], @@ -80,7 +68,6 @@ #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], ] } - # Not optimized, just copied from 32 bit version FP64: { 2:[ # Format: [Transformation, args, kwargs] @@ -104,21 +91,11 @@ #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 4:[ - # Move this to array context? - #["tag_array_axes", ["diff_mat", "sep,c,c"]], - #["tag_array_axes", ["result", "sep,f,f"]], - #["tag_array_axes", ["vec", "f,f"]], - - ["tag_inames", [[["imatrix", "ilp"]]]], ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - # See if these pass the tests - #["split_iname", ["iel", 12], {outer_tag: "g.0", slabs:[0,1]}], - #["split_iname", ["iel_inner", 4], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - - ["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 35], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 7], {outer_tag: "ilp", inner_tag: "l.1"}], ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 5:[ ["tag_inames", [[["imatrix", "ilp"]]]], diff --git a/grudge/loopy_dg_kernels/diff_2d_transform.hjson b/grudge/loopy_dg_kernels/diff_2d_transform.hjson index 5fdb285c9..1ccbbf4e6 100644 --- a/grudge/loopy_dg_kernels/diff_2d_transform.hjson +++ b/grudge/loopy_dg_kernels/diff_2d_transform.hjson @@ -104,21 +104,11 @@ #["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 4:[ - # Move this to array context? - #["tag_array_axes", ["diff_mat", "sep,c,c"]], - #["tag_array_axes", ["result", "sep,f,f"]], - #["tag_array_axes", ["vec", "f,f"]], - - ["tag_inames", [[["imatrix", "ilp"]]]], ["split_iname", ["iel", 64], {outer_tag: "g.0", slabs:[0,1]}], - ["split_iname", ["iel_inner", 16], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - # See if these pass the tests - #["split_iname", ["iel", 12], {outer_tag: "g.0", slabs:[0,1]}], - #["split_iname", ["iel_inner", 4], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], - - ["split_iname", ["idof", 35], {outer_tag: "g.1", inner_tag: "l.1"}], + ["split_iname", ["iel_inner", 32], {outer_tag: "ilp", inner_tag: "l.0", slabs:[0,1]}], + ["split_iname", ["idof", 35], {outer_tag: "g.1"}], + ["split_iname", ["idof_inner", 7], {outer_tag: "ilp", inner_tag: "l.1"}], ["add_prefetch", ["vec", "j,iel_inner_outer,iel_inner_inner"], {temporary_name: "vecf", default_tag: "l.auto"}], - ["add_prefetch", ["diff_mat", "j"], {temporary_name: "matfp", default_tag: "unr"}], ], 5:[ ["tag_inames", [[["imatrix", "ilp"]]]], diff --git a/grudge/loopy_dg_kernels/diff_3d_transform.hjson b/grudge/loopy_dg_kernels/diff_3d_transform.hjson index 5fdb285c9..c23a13c27 100644 --- a/grudge/loopy_dg_kernels/diff_3d_transform.hjson +++ b/grudge/loopy_dg_kernels/diff_3d_transform.hjson @@ -1,4 +1,4 @@ -# transform ID -> dimension -> fp format -> pn +# transform ID -> fp format -> pn { 72a3ce98-5d21-48bf-b402-6ee96bafd1b6: { description: "Transformations for the NVIDIA Titan V" @@ -80,7 +80,6 @@ #["rename_iname", ["mat2_dim_1", "mat1_dim_1"], {existing_ok: true}], ] } - # Not optimized, just copied from 32 bit version FP64: { 2:[ # Format: [Transformation, args, kwargs] diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index cfe7af2d7..114d93848 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -641,27 +641,30 @@ def get_transformation_id(device_id): print(settings) # Add functionality to write transformations to file """ - """ - hjson_file = open("diff_3d_transform.hjson") - #for i in range(2,8): - pn = 3 - n_out = len(equidistant_nodes(pn, 3)[1]) - n_in = len(equidistant_nodes(pn, 3)[1]) - n_elem = 178746 # 2**20 - knl = gen_diff_knl_fortran2(3, n_elem, n_out, n_in, fp_format=fp_format) - trans = load_transformations_from_file(hjson_file, [tid, fp_string, str(pn)]) - knl = apply_transformation_list(knl, trans) - print(lp.generate_code_v2(knl).device_code()) - - dev_arrays, avg_time = runTestFortran(knl, nruns=10, warmup=True) - #dev_arrays, avg_time = runTest(n_elem, n_in, n_out, kio, kii, iio, iii, ji) - analyzeResult(n_out, n_in, n_elem, 12288//2, 540, avg_time, fp_bytes=fp_bytes) - print(avg_time) - #verifyResult(*dev_arrays) - """ + dim_to_file = {1: "diff_1d_transform.hjson", + 2: "diff_2d_transform.hjson", + 3: "diff_1d_transform.hjson"} + + for dim in range(1,4): + hjson_file = open(dim_to_file[dim]) + #for i in range(2,8): + pn = 4 + n_out = len(equidistant_nodes(pn, 3)[1]) + n_in = len(equidistant_nodes(pn, 3)[1]) + n_elem = 2**20 #178746 # 2**20 + knl = gen_diff_knl_fortran2(3, n_elem, n_out, n_in, fp_format=fp_format) + trans = load_transformations_from_file(hjson_file, [tid, fp_string, str(pn)]) + knl = apply_transformation_list(knl, trans) + print(lp.generate_code_v2(knl).device_code()) + + dev_arrays, avg_time = runTestFortran(knl, nruns=10, warmup=True) + #dev_arrays, avg_time = runTest(n_elem, n_in, n_out, kio, kii, iio, iii, ji) + analyzeResult(n_out, n_in, n_elem, 12288//2, 540, avg_time, fp_bytes=fp_bytes) + print(avg_time) + #verifyResult(*dev_arrays) #testBandwidth() - + """ # Test elwise linear pn = 3 n_out = len(equidistant_nodes(pn,3)[1]) @@ -678,3 +681,4 @@ def get_transformation_id(device_id): _, avg_time = test_elwise_linear(knl, backend="OPENCL", nruns=1, warmup=False) print(avg_time) analyze_knl_bandwidth(knl, avg_time) + """ From 312654879aa292954836081580d33c68ff33e19e Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Mon, 22 Feb 2021 22:19:54 -0600 Subject: [PATCH 060/253] Use transformations with 1D and 2D diff kernels --- grudge/execution.py | 3 +-- grudge/grudge_array_context.py | 7 +++++-- grudge/loopy_dg_kernels/__init__.py | 2 +- 3 files changed, 7 insertions(+), 5 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index d5e2107aa..963d31a72 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -599,8 +599,7 @@ def prg(n_mat): # TODO Add fallback transformations to hjson file # TODO Use the above kernel rather than the one in loopy_dg_kernels # TODO Add transformations for other numbers of operators - print(noperators) - if noperators == 3 and (field.entry_dtype == np.float64 + if (field.entry_dtype == np.float64 or field.entry_dtype == np.float32) \ and isinstance(self.array_context, GrudgeArrayContext): n_out, n_in = matrices_ary_dev[0].shape diff --git a/grudge/grudge_array_context.py b/grudge/grudge_array_context.py index ffdbcf707..926ea2734 100644 --- a/grudge/grudge_array_context.py +++ b/grudge/grudge_array_context.py @@ -89,18 +89,21 @@ def transform_loopy_program(self, program): # This read could be slow transform_id = get_transformation_id(device_id) - if program.name == "opt_diff": + if "opt_diff" in program.name: # TODO: Dynamically determine device id, # Rename this file - hjson_file = pkg_resources.open_text(dgk, "diff_3d_transform.hjson") pn = -1 fp_format = None + dim = -1 for arg in program.args: if arg.name == "diff_mat": + dim = arg.shape[0] pn = get_order_from_dofs(arg.shape[2]) fp_format = arg.dtype.numpy_dtype break + hjson_file = pkg_resources.open_text(dgk, "diff_{}d_transform.hjson".format(dim)) + # FP format is very specific. Could have integer arrays? # What about mixed data types? #if pn <= 0 or not isinstance(fp_format, : diff --git a/grudge/loopy_dg_kernels/__init__.py b/grudge/loopy_dg_kernels/__init__.py index e3bc2d03a..608fdc01c 100644 --- a/grudge/loopy_dg_kernels/__init__.py +++ b/grudge/loopy_dg_kernels/__init__.py @@ -79,7 +79,7 @@ def _gen_diff_knl(n_mat, n_elem, n_in, n_out, fp_format): and ndiscr_nodes_out > 0 \ and ndiscr_nodes_in > 0 and nmatrices > 0", options=options, - name="opt_diff" + name="opt_diff_{}d".format(n_mat) ) return knl From f83a2c7f3e6d229061d7350601a7c0d1e2231580 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Tue, 23 Feb 2021 14:20:31 -0600 Subject: [PATCH 061/253] fix tests --- grudge/execution.py | 2 +- grudge/loopy_dg_kernels/run_tests.py | 14 +++++++------- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/grudge/execution.py b/grudge/execution.py index 963d31a72..346f68849 100644 --- a/grudge/execution.py +++ b/grudge/execution.py @@ -553,7 +553,7 @@ def prg(n_mat): tags=VecOpIsDOFArray()), ... ], - name="diff") + name="diff_{}d".format(n_mat)) result = lp.fix_parameters(result, nmatrices=n_mat) result = lp.tag_inames(result, "imatrix: ilp") diff --git a/grudge/loopy_dg_kernels/run_tests.py b/grudge/loopy_dg_kernels/run_tests.py index 114d93848..464943d31 100644 --- a/grudge/loopy_dg_kernels/run_tests.py +++ b/grudge/loopy_dg_kernels/run_tests.py @@ -648,23 +648,23 @@ def get_transformation_id(device_id): for dim in range(1,4): hjson_file = open(dim_to_file[dim]) #for i in range(2,8): - pn = 4 + pn = 3 n_out = len(equidistant_nodes(pn, 3)[1]) n_in = len(equidistant_nodes(pn, 3)[1]) - n_elem = 2**20 #178746 # 2**20 - knl = gen_diff_knl_fortran2(3, n_elem, n_out, n_in, fp_format=fp_format) + n_elem = 178746 # 2**20 + knl = gen_diff_knl_fortran2(dim, n_elem, n_out, n_in, fp_format=fp_format) trans = load_transformations_from_file(hjson_file, [tid, fp_string, str(pn)]) knl = apply_transformation_list(knl, trans) print(lp.generate_code_v2(knl).device_code()) dev_arrays, avg_time = runTestFortran(knl, nruns=10, warmup=True) #dev_arrays, avg_time = runTest(n_elem, n_in, n_out, kio, kii, iio, iii, ji) - analyzeResult(n_out, n_in, n_elem, 12288//2, 540, avg_time, fp_bytes=fp_bytes) + analyze_knl_bandwidth(knl, avg_time) + #analyzeResult(n_out, n_in, n_elem, 12288//2, 540, avg_time, fp_bytes=fp_bytes) print(avg_time) #verifyResult(*dev_arrays) - - #testBandwidth() """ + #testBandwidth() # Test elwise linear pn = 3 n_out = len(equidistant_nodes(pn,3)[1]) @@ -678,7 +678,7 @@ def get_transformation_id(device_id): trans = load_transformations_from_file(hjson_file, [tid, fp_string, str(pn)]) knl = apply_transformation_list(knl, trans) #print(knl) - _, avg_time = test_elwise_linear(knl, backend="OPENCL", nruns=1, warmup=False) + _, avg_time = test_elwise_linear(knl, backend="OPENCL", nruns=10, warmup=True) print(avg_time) analyze_knl_bandwidth(knl, avg_time) """ From 702435602370ce7044044c9375dbed49d7b3b161 Mon Sep 17 00:00:00 2001 From: Nicholas Christensen Date: Wed, 24 Mar 2021 02:32:48 -0500 Subject: [PATCH 062/253] Push current to update multiple dispatch branch --- examples/wave/nvprof-wave-eager.nvprof | Bin 0 -> 29024256 bytes examples/wave/wave-eager.py | 2 +- grudge/execution.py | 7 +- grudge/grudge_array_context.py | 114 +++++++++++- grudge/loopy_dg_kernels/__init__.py | 2 +- .../loopy_dg_kernels/diff_1d_transform.hjson | 10 +- .../loopy_dg_kernels/diff_2d_transform.hjson | 3 + .../loopy_dg_kernels/diff_3d_transform.hjson | 14 +- .../elwise_linear_transform.hjson | 11 +- grudge/loopy_dg_kernels/ptx.ptx | Bin 0 -> 112135 bytes grudge/loopy_dg_kernels/resample_by_mat.hjson | 163 ++++++++++++++++++ grudge/loopy_dg_kernels/run_tests.py | 158 +++++++++++------ .../symbolic_links/NVIDIA_Titan_V | 1 + .../FP64/resample_by_mat.hjson | 83 +++++++++ 14 files changed, 485 insertions(+), 83 deletions(-) create mode 100644 examples/wave/nvprof-wave-eager.nvprof create mode 100644 grudge/loopy_dg_kernels/ptx.ptx create mode 100644 grudge/loopy_dg_kernels/resample_by_mat.hjson create mode 120000 grudge/loopy_dg_kernels/transformations/symbolic_links/NVIDIA_Titan_V create mode 100644 grudge/loopy_dg_kernels/transformations/transformations/72a3ce98-5d21-48bf-b402-6ee96bafd1b6/FP64/resample_by_mat.hjson diff --git a/examples/wave/nvprof-wave-eager.nvprof b/examples/wave/nvprof-wave-eager.nvprof new file mode 100644 index 0000000000000000000000000000000000000000..e1002804471a040cf8321a409ee7ffc4dc70402c GIT binary patch literal 29024256 zcmeFa2YeL8|NlR8TW@P9Nq|reLJ1IhZ$c6d2nk6@p=$`q0f97<3sr%=3%y7O0Rib< zqzi&b69EB1MFADTf}n_^sDS!^?`(kNl92m8e&zpr_}F~-yr1*l_w4NKYvw(-v*9GJ zXJo3=VH=#8ou1^hHA6lKW7NrJLx^gIP{4Nd?58&r>1Qs&1cQ6p;)Gzcp zN$Ml@f%=R3qx!viL;ZrOLp`8kEmiSIG{slqkF~|bhW7}G z?Q4s$_qBy2#7BomK`TArGQqag6up)$DjNQu5E&V48<~`r>+m?1l9`^An&ELUIWs%k zk(T64&CCcd+(=!mmcsc*hhfd0nvvod4R>YllUQ6|V-up{!+Y4D6H@c;0@b7;0BDW%BaLSlF{p6zhvW@q#&G8yV>)g{iqM+nwJN*UYEvEjY! 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