99 lines
3.6 KiB
Python
99 lines
3.6 KiB
Python
# 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
|
|
|
|
from paddle.base import core
|
|
|
|
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 backend. 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
|
|
|
|
>>> 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))
|
|
"""
|
|
if device is not None:
|
|
if isinstance(device, int):
|
|
device_id = device
|
|
# Use default custom device type
|
|
dev_types = core.get_all_custom_device_type()
|
|
if not dev_types:
|
|
raise ValueError("No custom device types available")
|
|
device_name = dev_types[0]
|
|
elif isinstance(device, core.CustomPlace):
|
|
device_name = device.get_device_type()
|
|
device_id = device.get_device_id()
|
|
elif isinstance(device, str):
|
|
colon_idx = device.rfind(':')
|
|
if colon_idx == -1:
|
|
device_name = device
|
|
device_id = 0
|
|
else:
|
|
device_name = device[:colon_idx]
|
|
device_id_str = device[colon_idx + 1 :]
|
|
|
|
if not device_id_str.isdigit():
|
|
raise ValueError(
|
|
f"Invalid device ID '{device_id_str}'. "
|
|
f"After colon must be digits only. "
|
|
"Example: 'metax_gpu:0'"
|
|
)
|
|
|
|
device_id = int(device_id_str)
|
|
else:
|
|
raise ValueError(
|
|
f"The device type {device} is not expected. Because paddle.device."
|
|
"get_device_properties only support int, str or CustomPlace. "
|
|
"Please input appropriate device again!"
|
|
)
|
|
else:
|
|
# Use default custom device type and device id
|
|
dev_types = core.get_all_custom_device_type()
|
|
if not dev_types:
|
|
raise ValueError("No custom device types available")
|
|
device_name = dev_types[0]
|
|
device_id = 0
|
|
|
|
return core.get_device_properties(device_name, device_id)
|