code: 
  
  
  
  
  
  # Copyright 2021 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.
  
  import json
  import os
  from dataclasses import dataclass
  from enum import Enum
  from typing import List, Optional, Union
  
  import yaml
  
  from ...utils import ComputeEnvironment, DistributedType, SageMakerDistributedType
  from ...utils.constants import SAGEMAKER_PYTHON_VERSION, SAGEMAKER_PYTORCH_VERSION, SAGEMAKER_TRANSFORMERS_VERSION
  
  
  _UpperCamelCase       = os.path.expanduser(
      os.getenv('''HF_HOME''', os.path.join(os.getenv('''XDG_CACHE_HOME''', '''~/.cache'''), '''huggingface'''))
  )
  _UpperCamelCase       = os.path.join(hf_cache_home, '''accelerate''')
  _UpperCamelCase       = os.path.join(cache_dir, '''default_config.yaml''')
  _UpperCamelCase       = os.path.join(cache_dir, '''default_config.yaml''')
  
  # For backward compatibility: the default config is the json one if it's the only existing file.
  if os.path.isfile(default_yaml_config_file) or not os.path.isfile(default_json_config_file):
       _UpperCamelCase       = default_yaml_config_file
  else:
       _UpperCamelCase       = default_json_config_file
  
  
  
  
  
  
  
  def       lowerCAmelCase__(	lowercase       :    int				) ->    Any:
    if config_file is not None:
      if not os.path.isfile(lowercase				):
        raise FileNotFoundError(
            f"""The passed configuration file `{config_file}` does not exist. """
            "Please pass an existing file to `accelerate launch`, or use the the default one "
            "created through `accelerate config` and run `accelerate launch` "
            "without the `--config_file` argument."				)
    else:
      __snake_case   :				Any        =       default_config_file
    with open(lowercase   ,     "r"   ,     encoding="utf-8"				) as f:
      if config_file.endswith(".json"				):
        if (
            json.load(lowercase				).get("compute_environment"   ,     ComputeEnvironment.LOCAL_MACHINE				)
            == ComputeEnvironment.LOCAL_MACHINE
        ):
          __snake_case   :				Tuple        =       ClusterConfig
        else:
          __snake_case   :				Union[str, Any]        =       SageMakerConfig
        return config_class.from_json_file(json_file=lowercase				)
      else:
        if (
            yaml.safe_load(lowercase				).get("compute_environment"   ,     ComputeEnvironment.LOCAL_MACHINE				)
            == ComputeEnvironment.LOCAL_MACHINE
        ):
          __snake_case   :				Optional[Any]        =       ClusterConfig
        else:
          __snake_case   :				Optional[int]        =       SageMakerConfig
        return config_class.from_yaml_file(yaml_file=lowercase				)
  
  
  
  
  @dataclass
  class 				_lowerCamelCase :
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        UpperCAmelCase_						:      ComputeEnvironment
        UpperCAmelCase_						:      Union[DistributedType, SageMakerDistributedType]
        UpperCAmelCase_						:      str
        UpperCAmelCase_						:      bool
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self   )       ->   Optional[int]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Tuple        =       self.__dict__
          # For serialization, it's best to convert Enums to strings (or their underlying value type).
          for key, value in result.items():
            if isinstance(UpperCAmelCase				,						UpperCAmelCase   ):
              __snake_case   :				Tuple        =       value.value
            if isinstance(UpperCAmelCase				,						UpperCAmelCase   ) and not bool(UpperCAmelCase   ):
              __snake_case   :				Dict        =       None
          __snake_case   :				Optional[Any]        =       {k: v for k, v in result.items() if v is not None}
          return result
  
  
  
  
  
  
  
        @classmethod
        def 						UpperCAmelCase		( cls				,						UpperCAmelCase=None   )       ->   Union[str, Any]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Optional[Any]        =       default_json_config_file if json_file is None else json_file
          with open(UpperCAmelCase				,						"r"				,						encoding="utf-8"   ) as f:
            __snake_case   :				int        =       json.load(UpperCAmelCase   )
          if "compute_environment" not in config_dict:
            __snake_case   :				Tuple        =       ComputeEnvironment.LOCAL_MACHINE
          if "mixed_precision" not in config_dict:
            __snake_case   :				str        =       "fp16" if ("fp16" in config_dict and config_dict["fp16"]) else None
          if "fp16" in config_dict:  # Convert the config to the new format.
            del config_dict["fp16"]
          if "dynamo_backend" in config_dict:  # Convert the config to the new format.
            __snake_case   :				str        =       config_dict.pop("dynamo_backend"   )
            __snake_case   :				Any        =       {} if dynamo_backend == "NO" else {"dynamo_backend": dynamo_backend}
          if "use_cpu" not in config_dict:
            __snake_case   :				str        =       False
          return cls(**UpperCAmelCase   )
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase   )       ->   int:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          with open(UpperCAmelCase				,						"w"				,						encoding="utf-8"   ) as f:
            __snake_case   :				str        =       json.dumps(self.to_dict()				,						indent=2				,						sort_keys=UpperCAmelCase   ) + "\n"
            f.write(UpperCAmelCase   )
  
  
  
  
  
  
  
        @classmethod
        def 						UpperCAmelCase		( cls				,						UpperCAmelCase=None   )       ->   List[Any]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				List[Any]        =       default_yaml_config_file if yaml_file is None else yaml_file
          with open(UpperCAmelCase				,						"r"				,						encoding="utf-8"   ) as f:
            __snake_case   :				Tuple        =       yaml.safe_load(UpperCAmelCase   )
          if "compute_environment" not in config_dict:
            __snake_case   :				str        =       ComputeEnvironment.LOCAL_MACHINE
  
          if "mixed_precision" not in config_dict:
            __snake_case   :				Optional[Any]        =       "fp16" if ("fp16" in config_dict and config_dict["fp16"]) else None
          if isinstance(config_dict["mixed_precision"]				,						UpperCAmelCase   ) and not config_dict["mixed_precision"]:
            __snake_case   :				List[str]        =       "no"
          if "fp16" in config_dict:  # Convert the config to the new format.
            del config_dict["fp16"]
          if "dynamo_backend" in config_dict:  # Convert the config to the new format.
            __snake_case   :				Dict        =       config_dict.pop("dynamo_backend"   )
            __snake_case   :				int        =       {} if dynamo_backend == "NO" else {"dynamo_backend": dynamo_backend}
          if "use_cpu" not in config_dict:
            __snake_case   :				Optional[Any]        =       False
          return cls(**UpperCAmelCase   )
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase   )       ->   List[str]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          with open(UpperCAmelCase				,						"w"				,						encoding="utf-8"   ) as f:
            yaml.safe_dump(self.to_dict()				,						UpperCAmelCase   )
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self   )       ->   Union[str, Any]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          if isinstance(self.compute_environment				,						UpperCAmelCase   ):
            __snake_case   :				str        =       ComputeEnvironment(self.compute_environment   )
          if isinstance(self.distributed_type				,						UpperCAmelCase   ):
            if self.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
              __snake_case   :				str        =       SageMakerDistributedType(self.distributed_type   )
            else:
              __snake_case   :				Dict        =       DistributedType(self.distributed_type   )
          if self.dynamo_config is None:
            __snake_case   :				Dict        =       {}
  
  
  
  
  @dataclass
  class 				_lowerCamelCase (    a    ):
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        UpperCAmelCase_						:      int
        UpperCAmelCase_						:      int       =0
        UpperCAmelCase_						:      int       =1
        UpperCAmelCase_						:      Optional[str]       =None
        UpperCAmelCase_						:      Optional[str]       =None
        UpperCAmelCase_						:      Optional[int]       =None
        UpperCAmelCase_						:      Optional[str]       ="static"
        UpperCAmelCase_						:      Optional[bool]       =False
        UpperCAmelCase_						:      str       ="main"
  
        # args for deepspeed_plugin
        UpperCAmelCase_						:      dict       =None
        # args for fsdp
        UpperCAmelCase_						:      dict       =None
        # args for megatron_lm
        UpperCAmelCase_						:      dict       =None
        # args for ipex
        UpperCAmelCase_						:      dict       =None
        # args for TPU
        UpperCAmelCase_						:      bool       =False
  
        # args for TPU pods
        UpperCAmelCase_						:      str       =None
        UpperCAmelCase_						:      str       =None
        UpperCAmelCase_						:      bool       =False
        UpperCAmelCase_						:      bool       =False
        UpperCAmelCase_						:      str       =None
        UpperCAmelCase_						:      List[str]       =None
        UpperCAmelCase_						:      List[str]       =None
        UpperCAmelCase_						:      List[str]       =None
  
        # args for dynamo
        UpperCAmelCase_						:      dict       =None
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self   )       ->   Tuple:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          if self.deepspeed_config is None:
            __snake_case   :				str        =       {}
          if self.fsdp_config is None:
            __snake_case   :				int        =       {}
          if self.megatron_lm_config is None:
            __snake_case   :				Any        =       {}
          if self.ipex_config is None:
            __snake_case   :				Union[str, Any]        =       {}
          return super().__post_init__()
  
  
  
  
  @dataclass
  class 				_lowerCamelCase (    a    ):
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        UpperCAmelCase_						:      str
        UpperCAmelCase_						:      str
        UpperCAmelCase_						:      Optional[str]       =None
        UpperCAmelCase_						:      Optional[str]       =None
        UpperCAmelCase_						:      str       ="us-east-1"
        UpperCAmelCase_						:      int       =1
        UpperCAmelCase_						:      str       ="all"
        UpperCAmelCase_						:      str       =F"""accelerate-sagemaker-{num_machines}"""
        UpperCAmelCase_						:      str       =SAGEMAKER_PYTORCH_VERSION
        UpperCAmelCase_						:      str       =SAGEMAKER_TRANSFORMERS_VERSION
        UpperCAmelCase_						:      str       =SAGEMAKER_PYTHON_VERSION
        UpperCAmelCase_						:      str       =None
        UpperCAmelCase_						:      str       =None
        UpperCAmelCase_						:      dict       =None
        UpperCAmelCase_						:      dict       =None
  
  
style_context: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  _UpperCamelCase       = {'''configuration_nat''': ['''NAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NatConfig''']}
  
  
  try:
       if not is_torch_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       _UpperCamelCase       = [
           '''NAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''NatForImageClassification''',
           '''NatModel''',
           '''NatPreTrainedModel''',
           '''NatBackbone''',
       ]
  
  if TYPE_CHECKING:
       from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig
  
       try:
            if not is_torch_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .modeling_nat import (
                NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                NatBackbone,
                NatForImageClassification,
                NatModel,
                NatPreTrainedModel,
            )
  
  else:
       import sys
  
       _UpperCamelCase       = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  