chore: import upstream snapshot with attribution

python/paddle/device/default_backend.py

@@ -0,0 +1,59 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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.
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, TypeAlias
+
+if TYPE_CHECKING:
+    from paddle import CustomPlace
+    from paddle.base.libpaddle import _customDeviceProperties
+
+    _CustomPlaceLike: TypeAlias = CustomPlace | str | int
+
+__all__ = [
+    'get_device_properties',
+]
+
+
+def get_device_properties(
+    device: _CustomPlaceLike | None = None,
+) -> _customDeviceProperties:
+    """
+    Return the properties of given custom device.
+
+    Args:
+        device (CustomPlace|str|int|None, optional): The device, the id of the device or
+            the string name of device like 'metax_gpu:x' which to get the properties of the
+            device from. Notice that this api only supports gpgpu devices. If device is None, the device is the current device.
+            Default: None.
+
+    Returns:
+        _customDeviceProperties: The properties of the device which include device name,
+            major compute capability, minor compute capability, global memory available
+            and the number of multiprocessors on the device.
+
+    Examples:
+        .. code-block:: pycon
+
+            >>> # doctest: +REQUIRES(env:METAX_GPU)
+            >>> import paddle
+            >>> paddle.device.get_device_properties('metax_gpu:0')
+            >>> paddle.device.get_device_properties(0)
+            >>> paddle.device.get_device_properties(paddle.CustomPlace('metax_gpu', 0))
+    """
+    raise RuntimeError(
+        "get_device_properties is not supported for this device type. "
+        "This function is only available for gpgpu devices."
+    )
+    return None