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[API Compatibility] sgn/signbit/tensordot/tril_indices/vander/logaddexp/moveaxis/nan_to_num/nanmean/nansum/*scatter Edit By AI Agent #866

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[API Compatibility] sgn/signbit/tensordot/tril_indices/vander/logaddexp/moveaxis/nan_to_num/nanmean/nansum/*scatter Edit By AI Agent #866

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117 changes: 9 additions & 108 deletions paconvert/api_mapping.json
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2119,18 +2119,7 @@
]
},
"torch.Tensor.select_scatter": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.Tensor.select_scatter",
"min_input_args": 3,
"args_list": [
"src",
"dim",
"index"
],
"kwargs_change": {
"src": "values",
"dim": "axis"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.set_": {
"Matcher": "TensorSetMatcher",
Expand Down Expand Up @@ -2352,12 +2341,7 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.take": {
"Matcher": "TensorTakeMatcher",
"paddle_api": "paddle.Tensor.take",
"min_input_args": 1,
"args_list": [
"index"
]
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.take_along_dim": {
"Matcher": "ChangePrefixMatcher"
Expand Down Expand Up @@ -10627,20 +10611,7 @@
]
},
"torch.select_scatter": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.select_scatter",
"min_input_args": 4,
"args_list": [
"input",
"src",
"dim",
"index"
],
"kwargs_change": {
"input": "x",
"src": "values",
"dim": "axis"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.selu": {
"Matcher": "GenericMatcher",
Expand Down Expand Up @@ -10719,17 +10690,7 @@
}
},
"torch.sgn": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.sgn",
"min_input_args": 1,
"args_list": [
"input",
"*",
"out"
],
"kwargs_change": {
"input": "x"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.sigmoid": {
"Matcher": "ChangePrefixMatcher"
Expand Down Expand Up @@ -10934,17 +10895,7 @@
}
},
"torch.signbit": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.signbit",
"min_input_args": 1,
"args_list": [
"input",
"*",
"out"
],
"kwargs_change": {
"input": "x"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.sin": {
"Matcher": "ChangePrefixMatcher"
Expand Down Expand Up @@ -11531,16 +11482,7 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.take": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.take",
"min_input_args": 2,
"args_list": [
"input",
"index"
],
"kwargs_change": {
"input": "x"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.take_along_dim": {
"Matcher": "ChangePrefixMatcher"
Expand All @@ -11558,20 +11500,7 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.tensordot": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.tensordot",
"min_input_args": 2,
"args_list": [
"a",
"b",
"dims",
"out"
],
"kwargs_change": {
"a": "x",
"b": "y",
"dims": "axes"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.testing.assert_allclose": {
"Matcher": "Assert_AllcloseMatcher",
Expand Down Expand Up @@ -11656,42 +11585,14 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.tril_indices": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.tril_indices",
"min_input_args": 2,
"args_list": [
"row",
"col",
"offset",
"*",
"dtype",
"device",
"layout"
],
"kwargs_change": {
"dtype": "dtype"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.triplet_margin_loss": {},
"torch.triu": {
"Matcher": "ChangePrefixMatcher"
},
"torch.triu_indices": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.triu_indices",
"min_input_args": 2,
"args_list": [
"row",
"col",
"offset",
"*",
"dtype",
"device",
"layout"
],
"kwargs_change": {
"dtype": "dtype"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.true_divide": {
"Matcher": "ChangePrefixMatcher"
Expand Down
91 changes: 91 additions & 0 deletions tests/test_Tensor_select_scatter.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -77,3 +77,94 @@ def test_case_5():
"""
)
obj.run(pytorch_code, ["result"])


def test_case_6():
"""Test with 3D tensor"""
pytorch_code = textwrap.dedent(
"""
import torch
input = torch.zeros((2, 3, 4)).type(torch.float32)
src = torch.ones((2, 4)).type(torch.float32)
result = input.select_scatter(src, 1, 1)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_7():
"""Test with 3D tensor and keyword arguments"""
pytorch_code = textwrap.dedent(
"""
import torch
input = torch.zeros((2, 3, 4)).type(torch.float32)
src = torch.ones((2, 4)).type(torch.float32)
result = input.select_scatter(src=src, dim=1, index=2)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_8():
"""Test with 4D tensor"""
pytorch_code = textwrap.dedent(
"""
import torch
input = torch.zeros((2, 3, 4, 5)).type(torch.float32)
src = torch.ones((2, 3, 5)).type(torch.float32)
result = input.select_scatter(src, dim=2, index=1)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_9():
"""Test with index=0"""
pytorch_code = textwrap.dedent(
"""
import torch
input = torch.zeros((3, 4)).type(torch.float32)
src = torch.ones(4).type(torch.float32)
result = input.select_scatter(src, dim=0, index=0)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_10():
"""Test with float64 dtype"""
pytorch_code = textwrap.dedent(
"""
import torch
input = torch.zeros((2, 3)).type(torch.float64)
src = torch.ones(3).type(torch.float64)
result = input.select_scatter(src, dim=0, index=1)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_11():
"""Test with keyword arguments out of order"""
pytorch_code = textwrap.dedent(
"""
import torch
input = torch.zeros((2, 3, 4))
src = torch.ones((2, 4))
result = input.select_scatter(index=1, src=src, dim=1)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_12():
"""Test on last dimension"""
pytorch_code = textwrap.dedent(
"""
import torch
input = torch.zeros((2, 3, 4))
src = torch.ones((2, 3))
result = input.select_scatter(src=src, dim=2, index=0)
"""
)
obj.run(pytorch_code, ["result"])
96 changes: 96 additions & 0 deletions tests/test_Tensor_sgn.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -39,3 +39,99 @@ def test_case_2():
"""
)
obj.run(pytorch_code, ["result"])


def test_case_3():
"""Test with 2D tensor"""
pytorch_code = textwrap.dedent(
"""
import torch
a = torch.tensor([[0.5950, -0.0872], [2.3298, -0.2972]])
result = a.sgn()
"""
)
obj.run(pytorch_code, ["result"])


def test_case_4():
"""Test with 3D tensor"""
pytorch_code = textwrap.dedent(
"""
import torch
a = torch.tensor([[[0.5950, -0.0872], [2.3298, -0.2972]]])
result = a.sgn()
"""
)
obj.run(pytorch_code, ["result"])


def test_case_5():
"""Test with zero values"""
pytorch_code = textwrap.dedent(
"""
import torch
a = torch.tensor([0., 1., 0., -1., 0.])
result = a.sgn()
"""
)
obj.run(pytorch_code, ["result"])


def test_case_6():
"""Test with negative values only"""
pytorch_code = textwrap.dedent(
"""
import torch
a = torch.tensor([-1., -2., -3., -0.5])
result = a.sgn()
"""
)
obj.run(pytorch_code, ["result"])


def test_case_7():
"""Test with positive values only"""
pytorch_code = textwrap.dedent(
"""
import torch
a = torch.tensor([1., 2., 3., 0.5])
result = a.sgn()
"""
)
obj.run(pytorch_code, ["result"])


def test_case_8():
"""Test with single element tensor"""
pytorch_code = textwrap.dedent(
"""
import torch
a = torch.tensor([3.5])
result = a.sgn()
"""
)
obj.run(pytorch_code, ["result"])


def test_case_9():
"""Test with large values"""
pytorch_code = textwrap.dedent(
"""
import torch
a = torch.tensor([1e10, -1e10, 1e-10, -1e-10])
result = a.sgn()
"""
)
obj.run(pytorch_code, ["result"])


def test_case_10():
"""Test with float64 dtype"""
pytorch_code = textwrap.dedent(
"""
import torch
a = torch.tensor([0.5950, -0.0872, 2.3298, -0.2972], dtype=torch.float64)
result = a.sgn()
"""
)
obj.run(pytorch_code, ["result"])
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