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