



"""simple docstring"""
from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


UpperCAmelCase						:		Optional[Any]			= {"configuration_gpt_neox": ["GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXConfig"]}

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase						:		List[Any]			= ["GPTNeoXTokenizerFast"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase						:		List[Any]			= [
           "GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST",
           "GPTNeoXForCausalLM",
           "GPTNeoXForQuestionAnswering",
           "GPTNeoXForSequenceClassification",
           "GPTNeoXForTokenClassification",
           "GPTNeoXLayer",
           "GPTNeoXModel",
           "GPTNeoXPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_gpt_neox import (
                  GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GPTNeoXForCausalLM,
                  GPTNeoXForQuestionAnswering,
                  GPTNeoXForSequenceClassification,
                  GPTNeoXForTokenClassification,
                  GPTNeoXLayer,
                  GPTNeoXModel,
                  GPTNeoXPreTrainedModel,
              )


else:
       import sys

       UpperCAmelCase						:		List[Any]			= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase						:		List[Any]			= logging.get_logger(__name__)

UpperCAmelCase						:		Optional[Any]			= {
    "alibaba-damo/mgp-str-base": "https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json",
}


class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase   ):
    lowercase__      =   "mgp-str"

    def __init__(				self			:				Optional[Any] ,  lowerCAmelCase_			:				Optional[Any]=[3_2, 1_2_8] ,  lowerCAmelCase_			:				Union[str, Any]=4 ,  lowerCAmelCase_			:				Dict=3 ,  lowerCAmelCase_			:				List[str]=2_7 ,  lowerCAmelCase_			:				str=3_8 ,  lowerCAmelCase_			:				Optional[int]=5_0_2_5_7 ,  lowerCAmelCase_			:				Any=3_0_5_2_2 ,  lowerCAmelCase_			:				str=7_6_8 ,  lowerCAmelCase_			:				Any=1_2 ,  lowerCAmelCase_			:				Optional[Any]=1_2 ,  lowerCAmelCase_			:				Tuple=4.0 ,  lowerCAmelCase_			:				str=True ,  lowerCAmelCase_			:				List[str]=False ,  lowerCAmelCase_			:				List[Any]=1E-5 ,  lowerCAmelCase_			:				Any=0.0 ,  lowerCAmelCase_			:				int=0.0 ,  lowerCAmelCase_			:				str=0.0 ,  lowerCAmelCase_			:				Dict=False ,  lowerCAmelCase_			:				List[str]=0.02 ,  **lowerCAmelCase_			:				str ,  ):







      """simple docstring"""







      super().__init__(**lowerCAmelCase_)

      lowercase_								= image_size
      lowercase_								= patch_size
      lowercase_								= num_channels
      lowercase_								= max_token_length
      lowercase_								= num_character_labels
      lowercase_								= num_bpe_labels
      lowercase_								= num_wordpiece_labels
      lowercase_								= hidden_size
      lowercase_								= num_hidden_layers
      lowercase_								= num_attention_heads
      lowercase_								= mlp_ratio
      lowercase_								= distilled
      lowercase_								= layer_norm_eps
      lowercase_								= drop_rate
      lowercase_								= qkv_bias
      lowercase_								= attn_drop_rate
      lowercase_								= drop_path_rate
      lowercase_								= output_aa_attentions
      lowercase_								= initializer_range

