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- # Copyright 2020 The HuggingFace Team. 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.
- __version__ = "1.12.0"
- from .accelerator import Accelerator
- from .big_modeling import (
- cpu_offload,
- cpu_offload_with_hook,
- disk_offload,
- dispatch_model,
- init_empty_weights,
- init_on_device,
- load_checkpoint_and_dispatch,
- )
- from .data_loader import skip_first_batches
- from .inference import prepare_pippy
- from .launchers import debug_launcher, notebook_launcher
- from .parallelism_config import ParallelismConfig
- from .state import PartialState
- from .utils import (
- AutocastKwargs,
- DataLoaderConfiguration,
- DDPCommunicationHookType,
- DeepSpeedPlugin,
- DistributedDataParallelKwargs,
- DistributedType,
- FullyShardedDataParallelPlugin,
- GradScalerKwargs,
- InitProcessGroupKwargs,
- ProfileKwargs,
- find_executable_batch_size,
- infer_auto_device_map,
- is_rich_available,
- load_checkpoint_in_model,
- synchronize_rng_states,
- )
- if is_rich_available():
- from .utils import rich
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