60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from typing import TYPE_CHECKING, TypeAlias
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if TYPE_CHECKING:
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from paddle import CustomPlace
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from paddle.base.libpaddle import _customDeviceProperties
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_CustomPlaceLike: TypeAlias = CustomPlace | str | int
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__all__ = [
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'get_device_properties',
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]
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def get_device_properties(
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device: _CustomPlaceLike | None = None,
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) -> _customDeviceProperties:
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"""
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Return the properties of given custom device.
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Args:
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device (CustomPlace|str|int|None, optional): The device, the id of the device or
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the string name of device like 'metax_gpu:x' which to get the properties of the
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device from. Notice that this api only supports gpgpu devices. If device is None, the device is the current device.
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Default: None.
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Returns:
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_customDeviceProperties: The properties of the device which include device name,
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major compute capability, minor compute capability, global memory available
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and the number of multiprocessors on the device.
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Examples:
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.. code-block:: pycon
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>>> # doctest: +REQUIRES(env:METAX_GPU)
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>>> import paddle
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>>> paddle.device.get_device_properties('metax_gpu:0')
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>>> paddle.device.get_device_properties(0)
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>>> paddle.device.get_device_properties(paddle.CustomPlace('metax_gpu', 0))
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"""
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raise RuntimeError(
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"get_device_properties is not supported for this device type. "
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"This function is only available for gpgpu devices."
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)
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return None
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