"""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


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






def      __UpperCAmelCase       (      lowercase=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=lowercase ,default=lowercase ,help="""Path to the config file to use for accelerate.""" ,)
  config_args.add_argument(
      """--tpu_name""" ,default=lowercase ,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=lowercase ,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=lowercase ,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=lowercase		)
  return parser






def      __UpperCAmelCase       (      lowercase		):







  """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(lowercase		):
    _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		) ,lowercase		):
    _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] ,lowercase		):
    _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(lowercase		)

  # 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(lowercase		)}'''		)
    return
  subprocess.run(lowercase		)
  print("""Successfully setup pod."""		)






def      __UpperCAmelCase       (      ):







  """simple docstring"""
  _UpperCAmelCase    			=   tpu_command_parser()
  _UpperCAmelCase    			=   parser.parse_args()

  tpu_command_launcher(lowercase		)

"""simple docstring"""


from collections import OrderedDict
from typing import List, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase__			=    logging.get_logger(__name__)

UpperCAmelCase__			=    {
    """google/efficientnet-b7""": """https://huggingface.co/google/efficientnet-b7/resolve/main/config.json""",
}


class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	Tuple  				=				'efficientnet'


    def __init__(       self						:	int ,					__lowerCAmelCase						:	int = 3 ,					__lowerCAmelCase						:	int = 600 ,					__lowerCAmelCase						:	float = 2.0 ,					__lowerCAmelCase						:	float = 3.1 ,					__lowerCAmelCase						:	int = 8 ,					__lowerCAmelCase						:	List[int] = [3, 3, 5, 3, 5, 5, 3] ,					__lowerCAmelCase						:	List[int] = [32, 16, 24, 40, 80, 112, 192] ,					__lowerCAmelCase						:	List[int] = [16, 24, 40, 80, 112, 192, 320] ,					__lowerCAmelCase						:	List[int] = [] ,					__lowerCAmelCase						:	List[int] = [1, 2, 2, 2, 1, 2, 1] ,					__lowerCAmelCase						:	List[int] = [1, 2, 2, 3, 3, 4, 1] ,					__lowerCAmelCase						:	List[int] = [1, 6, 6, 6, 6, 6, 6] ,					__lowerCAmelCase						:	float = 0.25 ,					__lowerCAmelCase						:	str = "swish" ,					__lowerCAmelCase						:	int = 2560 ,					__lowerCAmelCase						:	str = "mean" ,					__lowerCAmelCase						:	float = 0.02 ,					__lowerCAmelCase						:	float = 0.001 ,					__lowerCAmelCase						:	float = 0.99 ,					__lowerCAmelCase						:	float = 0.5 ,					__lowerCAmelCase						:	float = 0.2 ,					**__lowerCAmelCase						:	Optional[Any] ,					):
      super().__init__(**__lowerCAmelCase       )

      _UpperCAmelCase    			=   num_channels
      _UpperCAmelCase    			=   image_size
      _UpperCAmelCase    			=   width_coefficient
      _UpperCAmelCase    			=   depth_coefficient
      _UpperCAmelCase    			=   depth_divisor
      _UpperCAmelCase    			=   kernel_sizes
      _UpperCAmelCase    			=   in_channels
      _UpperCAmelCase    			=   out_channels
      _UpperCAmelCase    			=   depthwise_padding
      _UpperCAmelCase    			=   strides
      _UpperCAmelCase    			=   num_block_repeats
      _UpperCAmelCase    			=   expand_ratios
      _UpperCAmelCase    			=   squeeze_expansion_ratio
      _UpperCAmelCase    			=   hidden_act
      _UpperCAmelCase    			=   hidden_dim
      _UpperCAmelCase    			=   pooling_type
      _UpperCAmelCase    			=   initializer_range
      _UpperCAmelCase    			=   batch_norm_eps
      _UpperCAmelCase    			=   batch_norm_momentum
      _UpperCAmelCase    			=   dropout_rate
      _UpperCAmelCase    			=   drop_connect_rate
      _UpperCAmelCase    			=   sum(__lowerCAmelCase       ) * 4



class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	Union[str, Any]  				=				version.parse('1.11' )


    @property
    def   lowerCAmelCase_	(       self						:	Any       ):
      return OrderedDict(
          [
              ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
          ]       )


    @property
    def   lowerCAmelCase_	(       self						:	List[Any]       ):
      return 1e-5
