Files
2026-07-13 13:18:33 +08:00

51 lines
1.7 KiB
Python

# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from deepspeed.runtime.checkpoint_engine.checkpoint_engine import \
CheckpointEngine, CheckpointCommitInfo
from deepspeed.runtime.model_checkpointing import (
CHECKPOINT_WRITER,
CHECKPOINT_SERIALIZATION,
CheckpointWriterFactory,
)
class FastCheckpointEngine(CheckpointEngine):
def __init__(self, config_params, dp_writer_config, optimize_dp_state):
super().__init__(config_params)
self.name = 'FastCheckpointEngine'
self.serialization_enabled = config_params.checkpoint_config[CHECKPOINT_SERIALIZATION]
self.optimize_dp_state = optimize_dp_state
if dp_writer_config is None:
self._writer = None
else:
self._writer = CheckpointWriterFactory(writer_config=config_params.checkpoint_config[CHECKPOINT_WRITER],
aio_config=config_params.aio_config,
dp_writer_config=dp_writer_config)
def create(self, info: CheckpointCommitInfo):
pass
def save(self, state_dict, path: str):
if self._writer is None:
return
torch.save(obj=state_dict,
f=self._writer.create_writer(path, self.optimize_dp_state),
_use_new_zipfile_serialization=self.serialization_enabled)
self._writer.release_writer()
def load(self, path: str, map_location=None):
sd = torch.load(path, map_location=map_location)
return sd
def commit(self, info: CheckpointCommitInfo):
return True
def is_data_parallel_writer(self, dp_rank):
return self._writer is not None