




# Copyright 2021 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

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


a													=			"Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine"




def        _SCREAMING_SNAKE_CASE      (		)						->				str:
						_UpperCAmelCase      =			_ask_options(
						    """In which compute environment are you running?"""			,     ["""This machine""", """AWS (Amazon SageMaker)"""]			,     _convert_compute_environment			,     )
						if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
												_UpperCAmelCase      =			get_sagemaker_input()
						else:
												_UpperCAmelCase      =			get_cluster_input()
						return config




def        _SCREAMING_SNAKE_CASE      (		snake_case=None       )						->				Optional[Any]:
						if subparsers is not None:
												_UpperCAmelCase      =			subparsers.add_parser("""config"""			,     description=snake_case       )
						else:
												_UpperCAmelCase      =			argparse.ArgumentParser("""Accelerate config command"""			,     description=snake_case       )

						parser.add_argument(
						    """--config_file"""			,     default=snake_case			,     help=(
						        """The path to use to store the config file. Will default to a file named default_config.yaml in the cache """
						        """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
						        """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
						        """with 'huggingface'."""
						    )			,     )

						if subparsers is not None:
												parser.set_defaults(func=snake_case       )
						return parser




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				Tuple:
						_UpperCAmelCase      =			get_user_input()
						if args.config_file is not None:
												_UpperCAmelCase      =			args.config_file
						else:
												if not os.path.isdir(snake_case       ):
																		os.makedirs(snake_case       )
												_UpperCAmelCase      =			default_yaml_config_file

						if config_file.endswith(""".json"""       ):
												config.to_json_file(snake_case       )
						else:
												config.to_yaml_file(snake_case       )
						print(f"accelerate configuration saved at {config_file}"       )




def        _SCREAMING_SNAKE_CASE      (		)						->				int:
						_UpperCAmelCase      =			config_command_parser()
						_UpperCAmelCase      =			parser.parse_args()
						config_command(snake_case       )


if __name__ == "__main__":
				main()





import jax.numpy as jnp

from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig


a													=			logging.get_logger(__name__)

a													=			"T5Config"




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case       )						->				jnp.ndarray:
						_UpperCAmelCase      =			jnp.zeros_like(snake_case       )
						_UpperCAmelCase      =			shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]       )
						_UpperCAmelCase      =			shifted_input_ids.at[:, 0].set(snake_case       )

						_UpperCAmelCase      =			jnp.where(shifted_input_ids == -1_0_0			,     snake_case			,     snake_case       )
						return shifted_input_ids




class       _A				(		__lowercase     ):
		__a					    =       """mt5"""
		__a					    =       MTaConfig




class       _A				(		__lowercase     ):
		__a					    =       """mt5"""
		__a					    =       MTaConfig




class       _A				(		__lowercase     ):
		__a					    =       """mt5"""
		__a					    =       MTaConfig