




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







def   _snake_case    (       lowercase__=None	):



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

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

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

				# Then send it to gcloud
				# Eventually try to use google-api-core to do this instead of subprocess
				_lowerCamelCase  :    List[str]					=					['''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   _snake_case    (       ):
				_lowerCamelCase  :    Any					=					tpu_command_parser()
				_lowerCamelCase  :    Tuple					=					parser.parse_args()

				tpu_command_launcher(lowercase__	)





"""simple docstring"""






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


lowercase__  		=		logging.get_logger(__name__)

lowercase__  		=		{
    """google/realm-cc-news-pretrained-embedder""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-encoder""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-scorer""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-openqa""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json"""
    ),
    """google/realm-orqa-nq-openqa""": """https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json""",
    """google/realm-orqa-nq-reader""": """https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json""",
    """google/realm-orqa-wq-openqa""": """https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json""",
    """google/realm-orqa-wq-reader""": """https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json""",
    # See all REALM models at https://huggingface.co/models?filter=realm
}






class lowerCAmelCase__			(  lowercase		):






			'''simple docstring'''



			lowerCamelCase__   =    """realm"""
			def __init__(						self						,   lowercase=30522						,   lowercase=768						,   lowercase=128						,   lowercase=12						,   lowercase=12						,   lowercase=8						,   lowercase=3072						,   lowercase="gelu_new"						,   lowercase=0.1						,   lowercase=0.1						,   lowercase=512						,   lowercase=2						,   lowercase=0.02						,   lowercase=1E-12						,   lowercase=256						,   lowercase=10						,   lowercase=1E-3						,   lowercase=5						,   lowercase=320						,   lowercase=13353718						,   lowercase=5000						,   lowercase=1						,   lowercase=0						,   lowercase=2						,   **lowercase						,   ):
							super().__init__(pad_token_id=lowercase						,   bos_token_id=lowercase						,   eos_token_id=lowercase						,   **lowercase						)

							# Common config
							_lowerCamelCase  :    str					=					vocab_size
							_lowerCamelCase  :    Dict					=					max_position_embeddings
							_lowerCamelCase  :    int					=					hidden_size
							_lowerCamelCase  :    Optional[Any]					=					retriever_proj_size
							_lowerCamelCase  :    Dict					=					num_hidden_layers
							_lowerCamelCase  :    Any					=					num_attention_heads
							_lowerCamelCase  :    int					=					num_candidates
							_lowerCamelCase  :    List[Any]					=					intermediate_size
							_lowerCamelCase  :    int					=					hidden_act
							_lowerCamelCase  :    Union[str, Any]					=					hidden_dropout_prob
							_lowerCamelCase  :    Dict					=					attention_probs_dropout_prob
							_lowerCamelCase  :    Union[str, Any]					=					initializer_range
							_lowerCamelCase  :    List[Any]					=					type_vocab_size
							_lowerCamelCase  :    int					=					layer_norm_eps

							# Reader config
							_lowerCamelCase  :    Tuple					=					span_hidden_size
							_lowerCamelCase  :    int					=					max_span_width
							_lowerCamelCase  :    Tuple					=					reader_layer_norm_eps
							_lowerCamelCase  :    Union[str, Any]					=					reader_beam_size
							_lowerCamelCase  :    Union[str, Any]					=					reader_seq_len

							# Retrieval config
							_lowerCamelCase  :    Optional[Any]					=					num_block_records
							_lowerCamelCase  :    str					=					searcher_beam_size