






# 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			:		Union[str, Any]   				=    "Run commands across TPU VMs for initial setup before running `accelerate launch`."





def 	lowerCAmelCase_		(lowercase__						:       Optional[int]=None       )		->    List[str]:


				'''simple docstring'''




				if subparsers is not None:
								lowerCAmelCase__      			=						subparsers.add_parser('''tpu-config'''     ,					description=_description       )
				else:
								lowerCAmelCase__      			=						argparse.ArgumentParser('''Accelerate tpu-config command'''     ,					description=_description       )
				# Core arguments
				lowerCAmelCase__      			=						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.'''     ,					)
				lowerCAmelCase__      			=						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 	lowerCAmelCase_		(lowercase__						:       Optional[int]       )		->    Optional[Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						None

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

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

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


				'''simple docstring'''




				lowerCAmelCase__      			=						tpu_command_parser()
				lowerCAmelCase__      			=						parser.parse_args()

				tpu_command_launcher(lowercase__       )













from ...configuration_utils import PretrainedConfig
class  lowerCAmelCase_       (				snake_case__					):
							UpperCamelCase_		:List[str]		      =    'bert-generation'




							def __init__(   self     :   Tuple ,							SCREAMING_SNAKE_CASE_     :   List[str]=50_358 ,							SCREAMING_SNAKE_CASE_     :   List[Any]=1_024 ,							SCREAMING_SNAKE_CASE_     :   Optional[Any]=24 ,							SCREAMING_SNAKE_CASE_     :   Any=16 ,							SCREAMING_SNAKE_CASE_     :   Tuple=4_096 ,							SCREAMING_SNAKE_CASE_     :   str="gelu" ,							SCREAMING_SNAKE_CASE_     :   List[str]=0.1 ,							SCREAMING_SNAKE_CASE_     :   Tuple=0.1 ,							SCREAMING_SNAKE_CASE_     :   List[Any]=512 ,							SCREAMING_SNAKE_CASE_     :   List[Any]=0.02 ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]=1e-12 ,							SCREAMING_SNAKE_CASE_     :   List[Any]=0 ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]=2 ,							SCREAMING_SNAKE_CASE_     :   int=1 ,							SCREAMING_SNAKE_CASE_     :   str="absolute" ,							SCREAMING_SNAKE_CASE_     :   Tuple=True ,							**SCREAMING_SNAKE_CASE_     :   str ,							):
											super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_ ,							bos_token_id=SCREAMING_SNAKE_CASE_ ,							eos_token_id=SCREAMING_SNAKE_CASE_ ,							**SCREAMING_SNAKE_CASE_	)

											lowerCAmelCase__      			=						vocab_size
											lowerCAmelCase__      			=						hidden_size
											lowerCAmelCase__      			=						num_hidden_layers
											lowerCAmelCase__      			=						num_attention_heads
											lowerCAmelCase__      			=						hidden_act
											lowerCAmelCase__      			=						intermediate_size
											lowerCAmelCase__      			=						hidden_dropout_prob
											lowerCAmelCase__      			=						attention_probs_dropout_prob
											lowerCAmelCase__      			=						max_position_embeddings
											lowerCAmelCase__      			=						initializer_range
											lowerCAmelCase__      			=						layer_norm_eps
											lowerCAmelCase__      			=						position_embedding_type
											lowerCAmelCase__      			=						use_cache





