
"""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      ( __lowerCamelCase   :       int=None		)     ->					Any:
  if subparsers is not None:
    _snake_case					     =       subparsers.add_parser('''tpu-config''' ,					description=_description		)
  else:
    _snake_case					     =       argparse.ArgumentParser('''Accelerate tpu-config command''' ,					description=_description		)
  # Core arguments
  _snake_case					     =       parser.add_argument_group(
      '''Config Arguments''' ,					'''Arguments that can be configured through `accelerate config`.'''		)
  config_args.add_argument(
      '''--config_file''' ,					type=__lowerCamelCase ,					default=__lowerCamelCase ,					help='''Path to the config file to use for accelerate.''' ,					)
  config_args.add_argument(
      '''--tpu_name''' ,					default=__lowerCamelCase ,					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=__lowerCamelCase ,					help='''The zone of the TPU to use. If not specified, will use the zone specified in the config file.''' ,					)
  _snake_case					     =       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=__lowerCamelCase ,					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=__lowerCamelCase		)
  return parser
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Union[str, Any]		)     ->					Any:
  _snake_case					     =       None

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

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

  # Then send it to gcloud
  # Eventually try to use google-api-core to do this instead of subprocess
  _snake_case					     =       ['''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(__lowerCamelCase		)}'''		)
    return
  subprocess.run(__lowerCamelCase		)
  print('''Successfully setup pod.'''		)

def 					_UpperCAmelCase      ( )     ->					int:
  _snake_case					     =       tpu_command_parser()
  _snake_case					     =       parser.parse_args()

  tpu_command_launcher(__lowerCamelCase		)





"""simple docstring"""



import logging

from transformers.configuration_utils import PretrainedConfig


UpperCAmelCase__          = logging.getLogger(__name__)

class       lowerCAmelCase__				(						A_	):
     __a						=					"""masked_bert"""







     def __init__(							self			:			Union[str, Any]    ,      _lowerCamelCase			:			Any=30522    ,      _lowerCamelCase			:			Union[str, Any]=768    ,      _lowerCamelCase			:			Tuple=12    ,      _lowerCamelCase			:			Any=12    ,      _lowerCamelCase			:			str=3072    ,      _lowerCamelCase			:			str="gelu"    ,      _lowerCamelCase			:			int=0.1    ,      _lowerCamelCase			:			Optional[int]=0.1    ,      _lowerCamelCase			:			Dict=512    ,      _lowerCamelCase			:			List[Any]=2    ,      _lowerCamelCase			:			int=0.0_2    ,      _lowerCamelCase			:			Union[str, Any]=1e-12    ,      _lowerCamelCase			:			Union[str, Any]=0    ,      _lowerCamelCase			:			List[str]="topK"    ,      _lowerCamelCase			:			Optional[Any]="constant"    ,      _lowerCamelCase			:			Optional[Any]=0.0    ,      **_lowerCamelCase			:			str    ,      ):
       super().__init__(pad_token_id=_lowerCamelCase    ,      **_lowerCamelCase			)

       _snake_case					     =       vocab_size
       _snake_case					     =       hidden_size
       _snake_case					     =       num_hidden_layers
       _snake_case					     =       num_attention_heads
       _snake_case					     =       hidden_act
       _snake_case					     =       intermediate_size
       _snake_case					     =       hidden_dropout_prob
       _snake_case					     =       attention_probs_dropout_prob
       _snake_case					     =       max_position_embeddings
       _snake_case					     =       type_vocab_size
       _snake_case					     =       initializer_range
       _snake_case					     =       layer_norm_eps
       _snake_case					     =       pruning_method
       _snake_case					     =       mask_init
       _snake_case					     =       mask_scale



