Source code for pytorch_lightning.accelerators.cpu
# Copyright The PyTorch Lightning team.## 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.fromtypingimportAny,Dict,List,Unionimporttorchfrompytorch_lightning.accelerators.acceleratorimportAcceleratorfrompytorch_lightning.utilitiesimportdevice_parserfrompytorch_lightning.utilities.exceptionsimportMisconfigurationExceptionfrompytorch_lightning.utilities.typesimport_DEVICE
[docs]classCPUAccelerator(Accelerator):"""Accelerator for CPU devices."""
[docs]defsetup_environment(self,root_device:torch.device)->None:""" Raises: MisconfigurationException: If the selected device is not CPU. """super().setup_environment(root_device)ifroot_device.type!="cpu":raiseMisconfigurationException(f"Device should be CPU, got {root_device} instead.")
[docs]@staticmethoddefget_parallel_devices(devices:Union[int,str,List[int]])->List[torch.device]:"""Gets parallel devices for the Accelerator."""devices=device_parser.parse_cpu_cores(devices)return[torch.device("cpu")]*devices
[docs]@staticmethoddefauto_device_count()->int:"""Get the devices when set to auto."""return1
[docs]@staticmethoddefis_available()->bool:"""CPU is always available for execution."""returnTrue
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