Transition default GPU data format from dpctl to dpnp (#202)

* Transition default GPU data format from dpctl to dpnp

* deprecate dpctl tensors in sklbench

Author: ethanglaser

configs/common/sklearn.json

@@ -19,7 +19,7 @@
                 "estimator_params": { "n_jobs": "[REMOVE]" }
             },
             "data": {
-                "format": "dpctl",
+                "format": "dpnp",
                 "order": "C",
                 "distributed_split": "rank_based"
             },

sklbench/benchmarks/sklearn_estimator.py

@@ -363,7 +363,7 @@ def dataframe_function(x):
             for i in range(n_batches):
                 method_instance(x.iloc[i * batch_size : (i + 1) * batch_size])
 
-    if "ndarray" in str(type(data_args[0])):
+    if "array" in str(type(data_args[0])):
         return ndarray_function
     elif "DataFrame" in str(type(data_args[0])):
         return dataframe_function

sklbench/datasets/transformer.py

@@ -15,6 +15,7 @@
 # ===============================================================================
 
 import os
+import warnings
 
 import numpy as np
 import pandas as pd
@@ -47,6 +48,12 @@ def convert_data(data, dformat: str, order: str, dtype: str, device: str = None)
 
         return dpnp.array(data, dtype=dtype, order=order, device=device)
     elif dformat == "dpctl":
+        warnings.warn(
+            "dpctl tensors are deprecated and support for them "
+            "in scikit-learn_bench will be removed. "
+            "Consider using dpnp arrays instead.",
+            FutureWarning,
+        )
         import dpctl.tensor
 
         return dpctl.tensor.asarray(data, dtype=dtype, order=order, device=device)

sklbench/utils/common.py

@@ -20,6 +20,7 @@
 import json
 import re
 import subprocess as sp
+import warnings
 from pprint import pformat
 from shutil import get_terminal_size
 from typing import Any, Dict, List, Tuple, Union
@@ -214,6 +215,12 @@ def convert_to_numpy(a, dp_compat=False) -> np.ndarray:
 
         return dpnp.asnumpy(a)
     elif "dpctl" in str(type(a)):
+        warnings.warn(
+            "dpctl tensors are deprecated and support for them "
+            "in scikit-learn_bench will be removed. "
+            "Consider using dpnp arrays instead.",
+            FutureWarning,
+        )
         import dpctl.tensor
 
         return dpctl.tensor.to_numpy(a)