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Source code for pytorch_lightning.accelerators.ddp_cpu_hpc_accelerator

# 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
from pytorch_lightning.accelerators.ddp_hpc_accelerator import DDPHPCAccelerator


try:
    from hydra.utils import to_absolute_path, get_original_cwd
    from hydra.core.hydra_config import HydraConfig
except ImportError:
    HYDRA_AVAILABLE = False
else:
    HYDRA_AVAILABLE = True


[docs]class DDPCPUHPCAccelerator(DDPHPCAccelerator): def __init__(self, trainer, cluster_environment=None, ddp_plugin=None): """ Runs training using DDP (with CPUs) strategy on a cluster Example:: # default trainer = Trainer(accelerator=DDPCPUHPCAccelerator()) """ super().__init__(trainer, cluster_environment, ddp_plugin) self.nickname = 'ddp_cpu' def model_to_device(self, model, process_idx): model.cpu() def get_device_ids(self): device_ids = None return device_ids

© Copyright Copyright (c) 2018-2020, William Falcon et al... Revision 5df40a4a.

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