
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase  ={
    "configuration_instructblip": [
        "INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "InstructBlipConfig",
        "InstructBlipQFormerConfig",
        "InstructBlipVisionConfig",
    ],
    "processing_instructblip": ["InstructBlipProcessor"],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase  =[
        "INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "InstructBlipQFormerModel",
        "InstructBlipPreTrainedModel",
        "InstructBlipForConditionalGeneration",
        "InstructBlipVisionModel",
    ]

if TYPE_CHECKING:
    from .configuration_instructblip import (
        INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        InstructBlipConfig,
        InstructBlipQFormerConfig,
        InstructBlipVisionConfig,
    )
    from .processing_instructblip import InstructBlipProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_instructblip import (
            INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            InstructBlipForConditionalGeneration,
            InstructBlipPreTrainedModel,
            InstructBlipQFormerModel,
            InstructBlipVisionModel,
        )

else:
    import sys

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




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


