MAINT: utility module for Intel data parallel libs; import checks in one place

daal4py/sklearn/_utils.py

@@ -95,17 +95,21 @@ def daal_check_version(
     return False
 
 
-@functools.lru_cache(maxsize=256, typed=False)
-def sklearn_check_version(ver):
-    if hasattr(Version(ver), "base_version"):
-        base_sklearn_version = Version(sklearn_version).base_version
-        res = bool(Version(base_sklearn_version) >= Version(ver))
+def _package_check_version(version_to_check, available_version):
+    if hasattr(Version(version_to_check), "base_version"):
+        base_package_version = Version(available_version).base_version
+        res = bool(Version(base_package_version) >= Version(version_to_check))
     else:
         # packaging module not available
-        res = bool(Version(sklearn_version) >= Version(ver))
+        res = bool(Version(available_version) >= Version(version_to_check))
     return res
 
 
+@functools.lru_cache(maxsize=256, typed=False)
+def sklearn_check_version(ver):
+    return _package_check_version(ver, sklearn_version)
+
+
 def parse_dtype(dt):
     if dt == np.double:
         return "double"

onedal/_device_offload.py

@@ -23,25 +23,18 @@
 
 from ._config import _get_config
 from .utils._array_api import _asarray, _is_numpy_namespace
+from .utils._dpep_helpers import dpctl_available, dpnp_available
 
-try:
+if dpctl_available:
     from dpctl import SyclQueue
     from dpctl.memory import MemoryUSMDevice, as_usm_memory
     from dpctl.tensor import usm_ndarray
 
-    dpctl_available = True
-except ImportError:
-    dpctl_available = False
-
-try:
+if dpnp_available:
     import dpnp
 
     from .utils._array_api import _convert_to_dpnp
 
-    dpnp_available = True
-except ImportError:
-    dpnp_available = False
-
 
 class DummySyclQueue:
     """This class is designed to act like dpctl.SyclQueue

onedal/common/tests/test_policy.py

@@ -22,8 +22,9 @@
     device_type_to_str,
     get_memory_usm,
     get_queues,
-    is_dpctl_available,
+    is_dpctl_device_available,
 )
+from onedal.utils._dpep_helpers import dpctl_available
 
 
 @pytest.mark.parametrize("queue", get_queues())
@@ -43,7 +44,7 @@ def test_with_numpy_data(queue):
     assert _get_policy(queue, X, y).get_device_name() == device_name
 
 
-@pytest.mark.skipif(not is_dpctl_available(), reason="depends on dpctl")
+@pytest.mark.skipif(not dpctl_available, reason="depends on dpctl")
 @pytest.mark.parametrize("queue", get_queues("cpu,gpu"))
 @pytest.mark.parametrize("memtype", get_memory_usm())
 def test_with_usm_ndarray_data(queue, memtype):
@@ -61,7 +62,7 @@ def test_with_usm_ndarray_data(queue, memtype):
 
 
 @pytest.mark.skipif(
-    not is_dpctl_available(["cpu", "gpu"]), reason="test uses multiple devices"
+    not is_dpctl_device_available(["cpu", "gpu"]), reason="test uses multiple devices"
 )
 @pytest.mark.parametrize("memtype", get_memory_usm())
 def test_queue_parameter_with_usm_ndarray(memtype):

onedal/datatypes/_data_conversion.py

@@ -22,15 +22,14 @@
 from onedal import _backend, _is_dpc_backend
 
 from ..utils import _is_csr
+from ..utils._dpep_helpers import is_dpctl_available
 
-try:
+dpctl_available = is_dpctl_available("0.14")
+
+if dpctl_available:
     import dpctl
     import dpctl.tensor as dpt
 
-    dpctl_available = dpctl.__version__ >= "0.14"
-except ImportError:
-    dpctl_available = False
-
 
 def _apply_and_pass(func, *args):
     if len(args) == 1:

onedal/datatypes/tests/test_data.py

@@ -22,15 +22,14 @@
 from onedal.datatypes import from_table, to_table
 from onedal.primitives import linear_kernel
 from onedal.tests.utils._device_selection import get_queues
+from onedal.utils._dpep_helpers import is_dpctl_available
 
-try:
+dpctl_available = is_dpctl_available("0.14")
+
+if dpctl_available:
     import dpctl
     import dpctl.tensor as dpt
 
-    dpctl_available = dpctl.__version__ >= "0.14"
-except ImportError:
-    dpctl_available = False
-
 
 def _test_input_format_c_contiguous_numpy(queue, dtype):
     rng = np.random.RandomState(0)

onedal/tests/utils/_dataframes_support.py

@@ -19,20 +19,14 @@
 
 from sklearnex import get_config
 
-try:
-    import dpctl.tensor as dpt
+from ...utils._dpep_helpers import dpctl_available, dpnp_available
 
-    dpctl_available = True
-except ImportError:
-    dpctl_available = False
+if dpctl_available:
+    import dpctl.tensor as dpt
 
-try:
+if dpnp_available:
     import dpnp
 
-    dpnp_available = True
-except ImportError:
-    dpnp_available = False
-
 try:
     # This should be lazy imported in the
     # future along with other popular

onedal/tests/utils/_device_selection.py

@@ -18,6 +18,8 @@
 
 import pytest
 
+from ...utils._dpep_helpers import dpctl_available
+
 
 def get_queues(filter_="cpu,gpu"):
     """Get available dpctl.SycQueues for testing.
@@ -61,20 +63,17 @@ def get_memory_usm():
         return []
 
 
-def is_dpctl_available(targets=None):
-    try:
+def is_dpctl_device_available(targets):
+    if dpctl_available:
         import dpctl
 
-        if targets is None:
-            return True
         for device in targets:
             if device == "cpu" and not dpctl.has_cpu_devices():
                 return False
             if device == "gpu" and not dpctl.has_gpu_devices():
                 return False
         return True
-    except ImportError:
-        return False
+    return False
 
 
 def device_type_to_str(queue):

onedal/utils/_array_api.py

@@ -18,20 +18,10 @@
 
 from collections.abc import Iterable
 
-try:
-    from dpctl.tensor import usm_ndarray
-
-    dpctl_available = True
-except ImportError:
-    dpctl_available = False
-
-try:
-    import dpnp
-
-    dpnp_available = True
-except ImportError:
-    dpnp_available = False
+from ._dpep_helpers import dpctl_available, dpnp_available
 
+if dpctl_available:
+    from dpctl.tensor import usm_ndarray
 
 if dpnp_available:
     import dpnp

onedal/utils/_dpep_helpers.py

@@ -0,0 +1,50 @@
+# ==============================================================================
+# Copyright 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+
+"""Utilities for Data Parallel Extensions libs, such as DPNP, DPCtl"""
+
+from daal4py.sklearn._utils import _package_check_version
+
+
+def is_dpctl_available(version=None):
+    """Checks availability of DPCtl package"""
+    try:
+        import dpctl
+        import dpctl.tensor as dpt
+
+        dpctl_available = True
+    except ImportError:
+        dpctl_available = False
+    if dpctl_available and version is not None:
+        dpctl_available = _package_check_version(version, dpctl.__version__)
+    return dpctl_available
+
+
+def is_dpnp_available(version=None):
+    """Checks availability of DPNP package"""
+    try:
+        import dpnp
+
+        dpnp_available = True
+    except ImportError:
+        dpnp_available = False
+    if dpnp_available and version is not None:
+        dpnp_available = _package_check_version(version, dpnp.__version__)
+    return dpnp_available
+
+
+dpctl_available = is_dpctl_available()
+dpnp_available = is_dpnp_available()

sklearnex/tests/test_memory_usage.py

@@ -35,7 +35,7 @@
     _convert_to_dataframe,
     get_dataframes_and_queues,
 )
-from onedal.tests.utils._device_selection import get_queues, is_dpctl_available
+from onedal.tests.utils._device_selection import get_queues, is_dpctl_device_available
 from sklearnex import config_context
 from sklearnex.tests.utils import PATCHED_FUNCTIONS, PATCHED_MODELS, SPECIAL_INSTANCES
 from sklearnex.utils._array_api import get_namespace
@@ -275,7 +275,7 @@ def test_memory_leaks(estimator, dataframe, queue, order, data_shape):
 
 
 @pytest.mark.skipif(
-    os.getenv("ZES_ENABLE_SYSMAN") is None or not is_dpctl_available("gpu"),
+    os.getenv("ZES_ENABLE_SYSMAN") is None or not is_dpctl_device_available("gpu"),
     reason="SYCL device memory leak check requires the level zero sysman",
 )
 @pytest.mark.parametrize("queue", get_queues("gpu"))

tests/run_examples.py

@@ -27,7 +27,7 @@
 
 from daal4py import __has_dist__
 from daal4py.sklearn._utils import get_daal_version
-from onedal._device_offload import dpctl_available
+from onedal.utils._dpep_helpers import dpctl_available
 
 print("Starting examples validation")
 # First item is major version - 2021,