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paddlepaddle--paddle/python/paddle/distributed/launch/context/device.py
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2026-07-13 12:40:42 +08:00

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Python

# Copyright (c) 2022 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.
import os
# (TODO: GhostScreaming) It will be removed later.
from paddle.base import core
from paddle.base.core import get_all_custom_device_type
from paddle.device import get_available_custom_device
class DeviceType:
CPU = 'cpu'
GPU = 'gpu'
XPU = 'xpu'
IPU = 'ipu'
CUSTOM_DEVICE = 'custom_device'
class Device:
def __init__(self, dtype=None, memory="", labels=""):
self._dtype = dtype
self._memory = memory
self._labels = labels
def __str__(self):
return ",".join(self._labels)
@property
def dtype(self):
return self._dtype
@property
def count(self):
return len(self._labels) or 1
@property
def memory(self):
return self._memory
@property
def labels(self):
return self._labels
@labels.setter
def labels(self, lbs):
if isinstance(lbs, str):
self._labels = lbs.split(',')
elif isinstance(lbs, list):
self._labels = lbs
else:
self._labels = []
def get_selected_device_key(self):
if self._dtype == DeviceType.CPU:
return 'FLAGS_selected_cpus'
if self._dtype == DeviceType.GPU:
return 'FLAGS_selected_gpus'
if self._dtype == DeviceType.XPU:
return 'FLAGS_selected_xpus'
if self._dtype == DeviceType.IPU:
return 'FLAGS_selected_ipus'
if self._dtype == DeviceType.CUSTOM_DEVICE:
custom_device_types = get_all_custom_device_type()
device_type = (
str(custom_device_types[0]) if custom_device_types else ""
)
return f'FLAGS_selected_{device_type}s'
return 'FLAGS_selected_devices'
def get_selected_devices(self, devices=''):
'''
return the device label/id relative to the visible devices
'''
if not devices:
return [str(x) for x in range(0, len(self._labels))]
else:
devs = [x.strip() for x in devices.split(',')]
return [str(self._labels.index(d)) for d in devs]
def get_custom_device_envs(self):
custom_device_types = get_all_custom_device_type()
device_type = str(custom_device_types[0]) if custom_device_types else ""
return {
'PADDLE_DISTRI_BACKEND': 'xccl',
'PADDLE_XCCL_BACKEND': device_type,
}
@classmethod
def parse_device(self):
dev = Device()
visible_devices = None
custom_device_types = get_all_custom_device_type()
if custom_device_types:
dev._dtype = DeviceType.CUSTOM_DEVICE
device_type = str(custom_device_types[0])
visible_devices_str = f'{device_type.upper()}_VISIBLE_DEVICES'
if visible_devices_str in os.environ:
visible_devices = os.getenv(visible_devices_str)
elif 'XPULINK_VISIBLE_DEVICES' in os.environ:
dev._dtype = DeviceType.XPU
visible_devices = os.getenv("XPULINK_VISIBLE_DEVICES")
elif 'XPU_VISIBLE_DEVICES' in os.environ:
dev._dtype = DeviceType.XPU
visible_devices = os.getenv("XPU_VISIBLE_DEVICES")
elif 'CUDA_VISIBLE_DEVICES' in os.environ:
if core.is_compiled_with_xpu():
dev._dtype = DeviceType.XPU
else:
dev._dtype = DeviceType.GPU
visible_devices = os.getenv("CUDA_VISIBLE_DEVICES")
if visible_devices is not None and visible_devices != 'all':
dev._labels = visible_devices.split(',')
else:
return self.detect_device()
return dev
@classmethod
def detect_device(self):
def get_custom_devices_count(device_type):
all_custom_devices = get_available_custom_device()
all_custom_devices = [
device.split(':')[0] for device in all_custom_devices
]
custom_devices_count = all_custom_devices.count(device_type)
return custom_devices_count
dev = Device()
num = 0
visible_devices = None
custom_device_types = get_all_custom_device_type()
if custom_device_types:
custom_device_type = str(custom_device_types[0])
dev._dtype = DeviceType.CUSTOM_DEVICE
num = get_custom_devices_count(custom_device_type)
visible_devices_str = (
f'{custom_device_type.upper()}_VISIBLE_DEVICES'
)
if visible_devices_str in os.environ:
visible_devices = os.getenv(visible_devices_str)
elif core.is_compiled_with_cuda():
dev._dtype = DeviceType.GPU
num = core.get_cuda_device_count()
visible_devices = os.getenv("CUDA_VISIBLE_DEVICES")
elif core.is_compiled_with_xpu():
dev._dtype = DeviceType.XPU
num = core.get_xpu_device_count()
visible_devices = os.getenv("XPU_VISIBLE_DEVICES")
elif core.is_compiled_with_ipu():
dev._dtype = DeviceType.IPU
num = core.get_ipu_device_count()
# For IPUs, 'labels' is a list which contains the available numbers of IPU devices.
dev._labels = [str(x) for x in range(0, num + 1)]
return dev
if num == 0:
dev._dtype = DeviceType.CPU
elif visible_devices is None or visible_devices == "all":
dev._labels = [str(x) for x in range(0, num)]
else:
dev._labels = visible_devices.split(',')
return dev
if __name__ == '__main__':
d = Device.parse_device()
print(d.get_selected_devices())