
"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

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


A_    							=					logging.get_logger(__name__)

A_    							=					{
    """xlm-mlm-en-2048""": """https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json""",
    """xlm-mlm-ende-1024""": """https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-enfr-1024""": """https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json""",
    """xlm-mlm-enro-1024""": """https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json""",
    """xlm-mlm-tlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json""",
    """xlm-mlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json""",
    """xlm-clm-enfr-1024""": """https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json""",
    """xlm-clm-ende-1024""": """https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-17-1280""": """https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json""",
    """xlm-mlm-100-1280""": """https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json""",
}




class  __lowerCamelCase  ( lowerCAmelCase			):
				a__:      Dict          =    'xlm'
				a__:      str          =    {
				    'hidden_size': 'emb_dim',
				    'num_attention_heads': 'n_heads',
				    'num_hidden_layers': 'n_layers',
				    'n_words': 'vocab_size',  # For backward compatibility
				}




				def __init__(				self							,						UpperCAmelCase=3_0145							,						UpperCAmelCase=2048							,						UpperCAmelCase=12							,						UpperCAmelCase=16							,						UpperCAmelCase=0.1							,						UpperCAmelCase=0.1							,						UpperCAmelCase=True							,						UpperCAmelCase=False							,						UpperCAmelCase=False							,						UpperCAmelCase=False							,						UpperCAmelCase=1							,						UpperCAmelCase=True							,						UpperCAmelCase=512							,						UpperCAmelCase=2048**-0.5							,						UpperCAmelCase=1e-1_2							,						UpperCAmelCase=0.0_2							,						UpperCAmelCase=0							,						UpperCAmelCase=1							,						UpperCAmelCase=2							,						UpperCAmelCase=3							,						UpperCAmelCase=5							,						UpperCAmelCase=True							,						UpperCAmelCase="first"							,						UpperCAmelCase=True							,						UpperCAmelCase=None							,						UpperCAmelCase=True							,						UpperCAmelCase=0.1							,						UpperCAmelCase=5							,						UpperCAmelCase=5							,						UpperCAmelCase=0							,						UpperCAmelCase=0							,						UpperCAmelCase=2							,						UpperCAmelCase=0							,						**UpperCAmelCase							,						):
							lowerCamelCase_					=  vocab_size
							lowerCamelCase_					=  emb_dim
							lowerCamelCase_					=  n_layers
							lowerCamelCase_					=  n_heads
							lowerCamelCase_					=  dropout
							lowerCamelCase_					=  attention_dropout
							lowerCamelCase_					=  gelu_activation
							lowerCamelCase_					=  sinusoidal_embeddings
							lowerCamelCase_					=  causal
							lowerCamelCase_					=  asm
							lowerCamelCase_					=  n_langs
							lowerCamelCase_					=  use_lang_emb
							lowerCamelCase_					=  layer_norm_eps
							lowerCamelCase_					=  bos_index
							lowerCamelCase_					=  eos_index
							lowerCamelCase_					=  pad_index
							lowerCamelCase_					=  unk_index
							lowerCamelCase_					=  mask_index
							lowerCamelCase_					=  is_encoder
							lowerCamelCase_					=  max_position_embeddings
							lowerCamelCase_					=  embed_init_std
							lowerCamelCase_					=  init_std
							lowerCamelCase_					=  summary_type
							lowerCamelCase_					=  summary_use_proj
							lowerCamelCase_					=  summary_activation
							lowerCamelCase_					=  summary_proj_to_labels
							lowerCamelCase_					=  summary_first_dropout
							lowerCamelCase_					=  start_n_top
							lowerCamelCase_					=  end_n_top
							lowerCamelCase_					=  mask_token_id
							lowerCamelCase_					=  lang_id

							if "n_words" in kwargs:
										lowerCamelCase_					=  kwargs['''n_words''']

							super().__init__(pad_token_id=UpperCAmelCase							,						bos_token_id=UpperCAmelCase							,						**UpperCAmelCase   )




class  __lowerCamelCase  ( lowerCAmelCase			):




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






from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


A									=  logging.get_logger(__name__)

A									=  'T5Config'


class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig
