


"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A__	:    Any			 = logging.get_logger(__name__)

A__	:    Any			 = {
    'junnyu/roformer_chinese_small': 'https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json',
    'junnyu/roformer_chinese_base': 'https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json',
    'junnyu/roformer_chinese_char_small': (
        'https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json'
    ),
    'junnyu/roformer_chinese_char_base': (
        'https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json'
    ),
    'junnyu/roformer_small_discriminator': (
        'https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json'
    ),
    'junnyu/roformer_small_generator': (
        'https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json'
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}







class        lowercase__      (							snake_case__       ):
			_UpperCAmelCase		:Optional[int]             =			"roformer"


			def __init__(				self					:  List[Any]       ,	snake_case__					:  List[str]=5_0000       ,	snake_case__					:  str=None       ,	snake_case__					:  Dict=768       ,	snake_case__					:  List[str]=12       ,	snake_case__					:  int=12       ,	snake_case__					:  Optional[int]=3072       ,	snake_case__					:  str="gelu"       ,	snake_case__					:  Dict=0.1       ,	snake_case__					:  Union[str, Any]=0.1       ,	snake_case__					:  str=1536       ,	snake_case__					:  str=2       ,	snake_case__					:  Any=0.02       ,	snake_case__					:  Any=1E-12       ,	snake_case__					:  Union[str, Any]=0       ,	snake_case__					:  List[Any]=False       ,	snake_case__					:  Optional[Any]=True       ,	**snake_case__					:  Tuple       ,	):
										super().__init__(pad_token_id=snake_case__       ,	**snake_case__ )

										lowerCamelCase_	:							List[str]									=vocab_size
										lowerCamelCase_	:							List[str]									=hidden_size if embedding_size is None else embedding_size
										lowerCamelCase_	:							Any									=hidden_size
										lowerCamelCase_	:							Dict									=num_hidden_layers
										lowerCamelCase_	:							Union[str, Any]									=num_attention_heads
										lowerCamelCase_	:							Dict									=hidden_act
										lowerCamelCase_	:							int									=intermediate_size
										lowerCamelCase_	:							Union[str, Any]									=hidden_dropout_prob
										lowerCamelCase_	:							List[Any]									=attention_probs_dropout_prob
										lowerCamelCase_	:							int									=max_position_embeddings
										lowerCamelCase_	:							List[str]									=type_vocab_size
										lowerCamelCase_	:							Dict									=initializer_range
										lowerCamelCase_	:							Dict									=layer_norm_eps
										lowerCamelCase_	:							int									=rotary_value
										lowerCamelCase_	:							str									=use_cache







class        lowercase__      (							snake_case__       ):


			@property
			def      UpperCAmelCase__						(				self					:  Optional[Any] ):
										if self.task == "multiple-choice":
																	lowerCamelCase_	:							Optional[Any]									={0: "batch", 1: "choice", 2: "sequence"}
										else:
																	lowerCamelCase_	:							List[Any]									={0: "batch", 1: "sequence"}
										lowerCamelCase_	:							Dict									={0: "batch", 1: "sequence"}
										return OrderedDict(
										    [
										        ("input_ids", dynamic_axis),
										        ("attention_mask", dynamic_axis),
										        ("token_type_ids", dynamic_axis),
										    ] )











"""simple docstring"""



# 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.test_utils import execute_subprocess_async

def 			_snake_case    (					lowerCamelCase__     :   int=None  )    ->     Union[str, Any]:
							if subparsers is not None:
														lowerCamelCase_	:							List[Any]									=subparsers.add_parser("test"  )
							else:
														lowerCamelCase_	:							List[str]									=argparse.ArgumentParser("Accelerate test command"  )

							parser.add_argument(
							    "--config_file"    ,						default=lowerCamelCase__    ,						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=lowerCamelCase__  )
							return parser

def 			_snake_case    (					lowerCamelCase__     :   List[Any]  )    ->     Any:
							lowerCamelCase_	:							Optional[Any]									=os.path.sep.join(__file__.split(os.path.sep  )[:-2] + ["test_utils", "scripts", "test_script.py"]  )

							if args.config_file is None:
														lowerCamelCase_	:							List[Any]									=script_name
							else:
														lowerCamelCase_	:							Union[str, Any]									=F"""--config_file={args.config_file} {script_name}"""

							lowerCamelCase_	:							List[str]									=["accelerate-launch"] + test_args.split()
							lowerCamelCase_	:							Tuple									=execute_subprocess_async(lowerCamelCase__    ,						env=os.environ.copy()  )
							if result.returncode == 0:
														print("Test is a success! You are ready for your distributed training!"  )

def 			_snake_case    (					)    ->     Tuple:
							lowerCamelCase_	:							Any									=test_command_parser()
							lowerCamelCase_	:							List[Any]									=parser.parse_args()
							test_command(lowerCamelCase__  )


if __name__ == "__main__":
						main()



