





from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union

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


if TYPE_CHECKING:
     from ...onnx.config import PatchingSpec
     from ...tokenization_utils_base import PreTrainedTokenizerBase


_UpperCamelCase							=			logging.get_logger(__name__)

_UpperCamelCase							=			{
    '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/config.json''',
    '''allenai/longformer-large-4096''': '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/config.json''',
    '''allenai/longformer-large-4096-finetuned-triviaqa''': (
        '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/config.json'''
    ),
    '''allenai/longformer-base-4096-extra.pos.embd.only''': (
        '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/config.json'''
    ),
    '''allenai/longformer-large-4096-extra.pos.embd.only''': (
        '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/config.json'''
    ),
}




class 					_lowerCamelCase			(     UpperCamelCase_     ):



      """simple docstring"""






      UpperCAmelCase_    :   Optional[Any]      ="longformer"







      def __init__(			self					,    UpperCAmelCase = 512					,    UpperCAmelCase = 2					,    UpperCAmelCase = 1					,    UpperCAmelCase = 0					,    UpperCAmelCase = 2					,    UpperCAmelCase = 30522					,    UpperCAmelCase = 768					,    UpperCAmelCase = 12					,    UpperCAmelCase = 12					,    UpperCAmelCase = 3072					,    UpperCAmelCase = "gelu"					,    UpperCAmelCase = 0.1					,    UpperCAmelCase = 0.1					,    UpperCAmelCase = 512					,    UpperCAmelCase = 2					,    UpperCAmelCase = 0.02					,    UpperCAmelCase = 1E-12					,    UpperCAmelCase = False					,    **UpperCAmelCase					,    )							-> str:






        '''simple docstring'''






        super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE					,    **__SCREAMING_SNAKE_CASE )

        __snake_case :					List[str]          =							attention_window
        __snake_case :					Tuple          =							sep_token_id
        __snake_case :					Optional[int]          =							bos_token_id
        __snake_case :					int          =							eos_token_id
        __snake_case :					Optional[int]          =							vocab_size
        __snake_case :					str          =							hidden_size
        __snake_case :					Any          =							num_hidden_layers
        __snake_case :					int          =							num_attention_heads
        __snake_case :					Optional[Any]          =							hidden_act
        __snake_case :					Any          =							intermediate_size
        __snake_case :					int          =							hidden_dropout_prob
        __snake_case :					Tuple          =							attention_probs_dropout_prob
        __snake_case :					List[str]          =							max_position_embeddings
        __snake_case :					Dict          =							type_vocab_size
        __snake_case :					List[str]          =							initializer_range
        __snake_case :					Dict          =							layer_norm_eps
        __snake_case :					Union[str, Any]          =							onnx_export




class 					_lowerCamelCase			(     UpperCamelCase_     ):



      """simple docstring"""






      def __init__(			self					,    UpperCAmelCase					,    UpperCAmelCase = "default"					,    UpperCAmelCase = None )							-> Any:






        '''simple docstring'''






        super().__init__(__SCREAMING_SNAKE_CASE					,    __SCREAMING_SNAKE_CASE					,    __SCREAMING_SNAKE_CASE )
        __snake_case :					Dict          =							True







      @property
      def     UpperCAmelCase		(			self )							-> Mapping[str, Mapping[int, str]]:






        '''simple docstring'''






        if self.task == "multiple-choice":
          __snake_case :					Union[str, Any]          =							{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
        else:
          __snake_case :					Any          =							{0: '''batch''', 1: '''sequence'''}
        return OrderedDict(
            [
                ("input_ids", dynamic_axis),
                ("attention_mask", dynamic_axis),
                ("global_attention_mask", dynamic_axis),
            ] )







      @property
      def     UpperCAmelCase		(			self )							-> Mapping[str, Mapping[int, str]]:






        '''simple docstring'''






        __snake_case :					Optional[Any]          =							super().outputs
        if self.task == "default":
          __snake_case :					List[Any]          =							{0: '''batch'''}
        return outputs







      @property
      def     UpperCAmelCase		(			self )							-> float:






        '''simple docstring'''






        return 1E-4







      @property
      def     UpperCAmelCase		(			self )							-> int:






        '''simple docstring'''






        return max(super().default_onnx_opset					,    14 )







      def     UpperCAmelCase		(			self					,    UpperCAmelCase					,    UpperCAmelCase = -1					,    UpperCAmelCase = -1					,    UpperCAmelCase = False					,    UpperCAmelCase = None					,    )							-> Mapping[str, Any]:






        '''simple docstring'''






        __snake_case :					str          =							super().generate_dummy_inputs(
            preprocessor=__SCREAMING_SNAKE_CASE					,    batch_size=__SCREAMING_SNAKE_CASE					,    seq_length=__SCREAMING_SNAKE_CASE					,    is_pair=__SCREAMING_SNAKE_CASE					,    framework=__SCREAMING_SNAKE_CASE )
        import torch

        # for some reason, replacing this code by inputs["global_attention_mask"] = torch.randint(2, inputs["input_ids"].shape, dtype=torch.int64)
        # makes the export fail randomly
        __snake_case :					Optional[int]          =							torch.zeros_like(inputs["input_ids"] )
        # make every second token global
        __snake_case :					List[Any]          =							1

        return inputs



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


lowerCamelCase  =logging.get_logger(__name__)

lowerCamelCase  ={
    "abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json",
}




class 					_lowerCamelCase			(   UpperCamelCase_			):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		 =	'''gpt_neox_japanese'''






     def __init__(				self    ,    __SCREAMING_SNAKE_CASE=3_2_0_0_0    ,    __SCREAMING_SNAKE_CASE=2_5_6_0    ,    __SCREAMING_SNAKE_CASE=3_2    ,    __SCREAMING_SNAKE_CASE=3_2    ,    __SCREAMING_SNAKE_CASE=4    ,    __SCREAMING_SNAKE_CASE="gelu"    ,    __SCREAMING_SNAKE_CASE=1.00    ,    __SCREAMING_SNAKE_CASE=1_0_0_0_0    ,    __SCREAMING_SNAKE_CASE=2_0_4_8    ,    __SCREAMING_SNAKE_CASE=0.02    ,    __SCREAMING_SNAKE_CASE=1e-5    ,    __SCREAMING_SNAKE_CASE=True    ,    __SCREAMING_SNAKE_CASE=3_1_9_9_6    ,    __SCREAMING_SNAKE_CASE=3_1_9_9_9    ,    __SCREAMING_SNAKE_CASE=0.1    ,    __SCREAMING_SNAKE_CASE=0.0    ,    **__SCREAMING_SNAKE_CASE    ,    )	-> List[str]:




           """simple docstring"""







           super().__init__(bos_token_id=__SCREAMING_SNAKE_CASE    ,    eos_token_id=__SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)
           UpperCamelCase__     : List[str]											=					vocab_size
           UpperCamelCase__     : int											=					max_position_embeddings
           UpperCamelCase__     : Union[str, Any]											=					hidden_size
           UpperCamelCase__     : Any											=					num_hidden_layers
           UpperCamelCase__     : List[Any]											=					num_attention_heads
           UpperCamelCase__     : int											=					intermediate_multiple_size
           UpperCamelCase__     : List[Any]											=					hidden_act
           UpperCamelCase__     : Tuple											=					rotary_pct
           UpperCamelCase__     : Optional[int]											=					rotary_emb_base
           UpperCamelCase__     : Optional[Any]											=					initializer_range
           UpperCamelCase__     : Optional[int]											=					layer_norm_eps
           UpperCamelCase__     : Optional[Any]											=					use_cache
           UpperCamelCase__     : List[str]											=					attention_dropout
           UpperCamelCase__     : Optional[int]											=					hidden_dropout


