'''simple docstring'''
# Copyright 2022 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 argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


lowercase__  :      Tuple        =					"Run commands across TPU VMs for initial setup before running `accelerate launch`."



def  __lowerCamelCase       (      _UpperCamelCase  :  Union[str, Any]=None					):


      '''simple docstring'''


      if subparsers is not None:
            UpperCAmelCase_            =  subparsers.add_parser('''tpu-config'''							,    description=_description					)
      else:
            UpperCAmelCase_            =  argparse.ArgumentParser('''Accelerate tpu-config command'''							,    description=_description					)
      # Core arguments
      UpperCAmelCase_            =  parser.add_argument_group(
          '''Config Arguments'''							,    '''Arguments that can be configured through `accelerate config`.'''					)
      config_args.add_argument(
          '''--config_file'''							,    type=_UpperCamelCase							,    default=_UpperCamelCase							,    help='''Path to the config file to use for accelerate.'''							,    )
      config_args.add_argument(
          '''--tpu_name'''							,    default=_UpperCamelCase							,    help='''The name of the TPU to use. If not specified, will use the TPU specified in the config file.'''							,    )
      config_args.add_argument(
          '''--tpu_zone'''							,    default=_UpperCamelCase							,    help='''The zone of the TPU to use. If not specified, will use the zone specified in the config file.'''							,    )
      UpperCAmelCase_            =  parser.add_argument_group('''TPU Arguments'''							,    '''Arguments for options ran inside the TPU.'''					)
      pod_args.add_argument(
          '''--use_alpha'''							,    action='''store_true'''							,    help='''Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.'''							,    )
      pod_args.add_argument(
          '''--command_file'''							,    default=_UpperCamelCase							,    help='''The path to the file containing the commands to run on the pod on startup.'''							,    )
      pod_args.add_argument(
          '''--command'''							,    action='''append'''							,    nargs='''+'''							,    help='''A command to run on the pod. Can be passed multiple times.'''							,    )
      pod_args.add_argument(
          '''--install_accelerate'''							,    action='''store_true'''							,    help='''Whether to install accelerate on the pod. Defaults to False.'''							,    )
      pod_args.add_argument(
          '''--accelerate_version'''							,    default='''latest'''							,    help='''The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify \'dev\' to install from GitHub.'''							,    )
      pod_args.add_argument(
          '''--debug'''							,    action='''store_true'''							,    help='''If set, will print the command that would be run instead of running it.'''					)

      if subparsers is not None:
            parser.set_defaults(func=_UpperCamelCase					)
      return parser



def  __lowerCamelCase       (      _UpperCamelCase  :  List[Any]					):


      '''simple docstring'''


      UpperCAmelCase_            =  None

      # Get the default from the config file if it exists.
      if args.config_file is not None or os.path.isfile(_UpperCamelCase					):
            UpperCAmelCase_            =  load_config_from_file(args.config_file					)
            if not args.command_file and defaults.command_file is not None and not args.command:
                  UpperCAmelCase_            =  defaults.command_file
            if not args.command and defaults.commands is not None:
                  UpperCAmelCase_            =  defaults.commands
            if not args.tpu_name:
                  UpperCAmelCase_            =  defaults.tpu_name
            if not args.tpu_zone:
                  UpperCAmelCase_            =  defaults.tpu_zone
      if args.accelerate_version == "dev":
            UpperCAmelCase_            =  '''git+https://github.com/huggingface/accelerate.git'''
      elif args.accelerate_version == "latest":
            UpperCAmelCase_            =  '''accelerate -U'''
      elif isinstance(parse(args.accelerate_version					)							,    _UpperCamelCase					):
            UpperCAmelCase_            =  F"""accelerate=={args.accelerate_version}"""

      if not args.command_file and not args.command:
            raise ValueError('''You must specify either a command file or a command to run on the pod.'''					)

      if args.command_file:
            with open(args.command_file							,    '''r'''					) as f:
                  UpperCAmelCase_            =  [f.read().splitlines()]

    # To turn list of lists into list of strings
      if isinstance(args.command[0]							,    _UpperCamelCase					):
            UpperCAmelCase_            =  [line for cmd in args.command for line in cmd]
      # Default to the shared folder and install accelerate
      UpperCAmelCase_            =  ['''cd /usr/share''']
      if args.install_accelerate:
            new_cmd += [F"""pip install {args.accelerate_version}"""]
      new_cmd += args.command
      UpperCAmelCase_            =  '''; '''.join(_UpperCamelCase					)

      # Then send it to gcloud
      # Eventually try to use google-api-core to do this instead of subprocess
      UpperCAmelCase_            =  ['''gcloud''']
      if args.use_alpha:
            cmd += ["alpha"]
      cmd += [
          "compute",
          "tpus",
          "tpu-vm",
          "ssh",
          args.tpu_name,
          "--zone",
          args.tpu_zone,
          "--command",
          args.command,
          "--worker",
          "all",
      ]
      if args.debug:
            print(F"""Running {" ".join(_UpperCamelCase					)}"""					)
            return
      subprocess.run(_UpperCamelCase					)
      print('''Successfully setup pod.'''					)





def  __lowerCamelCase       (      ):


      '''simple docstring'''


      UpperCAmelCase_            =  tpu_command_parser()
      UpperCAmelCase_            =  parser.parse_args()

      tpu_command_launcher(_UpperCamelCase					)






'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


lowercase__  :      Union[str, Any]        =					{
    "configuration_mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTConfig", "MobileViTOnnxConfig"],
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase__  :      Union[str, Any]        =					["MobileViTFeatureExtractor"]
      lowercase__  :      List[Any]        =					["MobileViTImageProcessor"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase__  :      Dict        =					[
          "MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
          "MobileViTForImageClassification",
          "MobileViTForSemanticSegmentation",
          "MobileViTModel",
          "MobileViTPreTrainedModel",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase__  :      Optional[int]        =					[
          "TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
          "TFMobileViTForImageClassification",
          "TFMobileViTForSemanticSegmentation",
          "TFMobileViTModel",
          "TFMobileViTPreTrainedModel",
      ]

if TYPE_CHECKING:
      from .configuration_mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig, MobileViTOnnxConfig

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_mobilevit import MobileViTFeatureExtractor
            from .image_processing_mobilevit import MobileViTImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_mobilevit import (
                MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                MobileViTForImageClassification,
                MobileViTForSemanticSegmentation,
                MobileViTModel,
                MobileViTPreTrainedModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_mobilevit import (
                TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFMobileViTForImageClassification,
                TFMobileViTForSemanticSegmentation,
                TFMobileViTModel,
                TFMobileViTPreTrainedModel,
            )


else:
      import sys

      lowercase__  :      int        =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





