

# 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


_lowerCAmelCase   :     Dict    							=     'Run commands across TPU VMs for initial setup before running `accelerate launch`.'






def 			UpperCamelCase_(				_snake_case  :    Tuple=None      ):




			"""simple docstring"""






			if subparsers is not None:
						__a     =subparsers.add_parser('tpu-config'			,	description=_description      )
			else:
						__a     =argparse.ArgumentParser('Accelerate tpu-config command'			,	description=_description      )
			# Core arguments
			__a     =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.'			,	)
			__a     =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_(				_snake_case  :    Optional[Any]      ):




			"""simple docstring"""






			__a     =None

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

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

			# Then send it to gcloud
			# Eventually try to use google-api-core to do this instead of subprocess
			__a     =['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_(				):




			"""simple docstring"""






			__a     =tpu_command_parser()
			__a     =parser.parse_args()

			tpu_command_launcher(lowerCAmelCase__      )











from ...configuration_utils import PretrainedConfig
from ...utils import logging


__snake_case     :List[str]			       =logging.get_logger(__name__)

__snake_case     :int			       ={'openai-gpt': 'https://huggingface.co/openai-gpt/resolve/main/config.json'}



class        lowerCAmelCase__					(  _lowerCamelCase       ):
				A_   :     Optional[Any]								=     'openai-gpt'
				A_   :     Any								=     {
				    'max_position_embeddings': 'n_positions',
				    'hidden_size': 'n_embd',
				    'num_attention_heads': 'n_head',
				    'num_hidden_layers': 'n_layer',
				}


				def __init__(							self      :  List[Any]						, __UpperCamelCase      :  List[str]=40_478						, __UpperCamelCase      :  List[Any]=512						, __UpperCamelCase      :  List[Any]=768						, __UpperCamelCase      :  Optional[int]=12						, __UpperCamelCase      :  Dict=12						, __UpperCamelCase      :  List[str]="gelu"						, __UpperCamelCase      :  str=0.1						, __UpperCamelCase      :  Optional[Any]=0.1						, __UpperCamelCase      :  Union[str, Any]=0.1						, __UpperCamelCase      :  List[str]=1e-5						, __UpperCamelCase      :  List[Any]=0.0_2						, __UpperCamelCase      :  str="cls_index"						, __UpperCamelCase      :  int=True						, __UpperCamelCase      :  int=None						, __UpperCamelCase      :  Optional[int]=True						, __UpperCamelCase      :  Tuple=0.1						, **__UpperCamelCase      :  List[Any]						, )		->     List[str]:
											A      						=    vocab_size
											A      						=    n_positions
											A      						=    n_embd
											A      						=    n_layer
											A      						=    n_head
											A      						=    afn
											A      						=    resid_pdrop
											A      						=    embd_pdrop
											A      						=    attn_pdrop
											A      						=    layer_norm_epsilon
											A      						=    initializer_range
											A      						=    summary_type
											A      						=    summary_use_proj
											A      						=    summary_activation
											A      						=    summary_first_dropout
											A      						=    summary_proj_to_labels
											super().__init__(**__UpperCamelCase       )