
'''simple docstring'''





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


SCREAMING_SNAKE_CASE     =       logging.get_logger(__name__)

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






class 							UpperCAmelCase_							(    A				):

 '''simple docstring'''
 lowercase_					:    str				=							"gpt_neox_japanese"







 def __init__(					self		:  List[str]			,				snake_case__		:  List[str]=3_20_00			,				snake_case__		:  List[str]=25_60			,				snake_case__		:  Optional[int]=32			,				snake_case__		:  str=32			,				snake_case__		:  Tuple=4			,				snake_case__		:  Union[str, Any]="gelu"			,				snake_case__		:  int=1.00			,				snake_case__		:  Optional[Any]=1_00_00			,				snake_case__		:  List[Any]=20_48			,				snake_case__		:  Optional[Any]=0.02			,				snake_case__		:  Optional[Any]=1e-5			,				snake_case__		:  List[str]=True			,				snake_case__		:  int=3_19_96			,				snake_case__		:  int=3_19_99			,				snake_case__		:  str=0.1			,				snake_case__		:  str=0.0			,				**snake_case__		:  str			,				):



   '''simple docstring'''




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





'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


SCREAMING_SNAKE_CASE     =       {"""configuration_deit""": ["""DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DeiTConfig""", """DeiTOnnxConfig"""]}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE     =       ["""DeiTFeatureExtractor"""]
      SCREAMING_SNAKE_CASE     =       ["""DeiTImageProcessor"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE     =       [
          """DEIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """DeiTForImageClassification""",
          """DeiTForImageClassificationWithTeacher""",
          """DeiTForMaskedImageModeling""",
          """DeiTModel""",
          """DeiTPreTrainedModel""",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE     =       [
          """TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """TFDeiTForImageClassification""",
          """TFDeiTForImageClassificationWithTeacher""",
          """TFDeiTForMaskedImageModeling""",
          """TFDeiTModel""",
          """TFDeiTPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig, DeiTOnnxConfig

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_deit import DeiTFeatureExtractor
            from .image_processing_deit import DeiTImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_deit import (
                DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                DeiTForImageClassification,
                DeiTForImageClassificationWithTeacher,
                DeiTForMaskedImageModeling,
                DeiTModel,
                DeiTPreTrainedModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_deit import (
                TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFDeiTForImageClassification,
                TFDeiTForImageClassificationWithTeacher,
                TFDeiTForMaskedImageModeling,
                TFDeiTModel,
                TFDeiTPreTrainedModel,
            )


else:
      import sys

      SCREAMING_SNAKE_CASE     =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



