
from typing import TYPE_CHECKING

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


_snake_case			:       Any      =						{
    "configuration_rwkv": ["RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP", "RwkvConfig", "RwkvOnnxConfig"],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_snake_case			:       int      =						[
						    "RWKV_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "RwkvForCausalLM",
						    "RwkvModel",
						    "RwkvPreTrainedModel",
						]


if TYPE_CHECKING:
						from .configuration_rwkv import RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP, RwkvConfig, RwkvOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_rwkv import (
												    RWKV_PRETRAINED_MODEL_ARCHIVE_LIST,
												    RwkvForCausalLM,
												    RwkvModel,
												    RwkvPreTrainedModel,
												)
else:
						import sys

						_snake_case			:       Dict      =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


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


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

_snake_case			:       Dict      =						{
    "google/reformer-crime-and-punishment": (
        "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json"
    ),
    "google/reformer-enwik8": "https://huggingface.co/google/reformer-enwik8/resolve/main/config.json",
}





class      UpperCamelCase_			(			__a		):







						'''simple docstring'''



						UpperCamelCase			:     Any							      =				'''reformer'''
						UpperCamelCase			:     List[str]							      =				['''past_buckets_states''']
						UpperCamelCase			:     Optional[int]							      =				{}





						def __init__( self       :Dict		,						lowerCAmelCase__       :Any=64		,						lowerCAmelCase__       :str=["local", "lsh", "local", "lsh", "local", "lsh"]		,						lowerCAmelCase__       :Optional[Any]=1.0		,						lowerCAmelCase__       :List[str]=True		,						lowerCAmelCase__       :Optional[Any]=[64, 64]		,						lowerCAmelCase__       :Tuple=[64, 192]		,						lowerCAmelCase__       :Union[str, Any]=0		,						lowerCAmelCase__       :Optional[Any]=2		,						lowerCAmelCase__       :List[str]=512		,						lowerCAmelCase__       :Any=None		,						lowerCAmelCase__       :int="relu"		,						lowerCAmelCase__       :Tuple=0.05		,						lowerCAmelCase__       :int=256		,						lowerCAmelCase__       :Optional[Any]=0.02		,						lowerCAmelCase__       :Optional[int]=False		,						lowerCAmelCase__       :Optional[Any]=1E-1_2		,						lowerCAmelCase__       :int=1		,						lowerCAmelCase__       :Optional[Any]=0		,						lowerCAmelCase__       :Any=0.05		,						lowerCAmelCase__       :Optional[int]=64		,						lowerCAmelCase__       :List[Any]=64		,						lowerCAmelCase__       :Tuple=0.0		,						lowerCAmelCase__       :Tuple=1		,						lowerCAmelCase__       :List[str]=0		,						lowerCAmelCase__       :Dict=4096		,						lowerCAmelCase__       :Tuple=12		,						lowerCAmelCase__       :Tuple=None		,						lowerCAmelCase__       :Union[str, Any]=1		,						lowerCAmelCase__       :int=0		,						lowerCAmelCase__       :Optional[Any]=320		,						lowerCAmelCase__       :Optional[Any]=False		,						lowerCAmelCase__       :Optional[int]=True		,						lowerCAmelCase__       :str=None		,						**lowerCAmelCase__       :Any		,						)     ->Any:
										lowercase						    =			hash_seed
										lowercase						    =			vocab_size
										lowercase						    =			attention_head_size
										lowercase						    =			hidden_size
										lowercase						    =			num_attention_heads
										lowercase						    =			num_hashes
										lowercase						    =			len(lowerCAmelCase__    )
										lowercase						    =			tuple(lowerCAmelCase__    ) if isinstance(lowerCAmelCase__		,						lowerCAmelCase__    ) else num_buckets
										lowercase						    =			lsh_attn_chunk_length
										lowercase						    =			local_attn_chunk_length
										lowercase						    =			lsh_num_chunks_after
										lowercase						    =			lsh_num_chunks_before
										lowercase						    =			local_num_chunks_after
										lowercase						    =			local_num_chunks_before
										lowercase						    =			hidden_act
										lowercase						    =			feed_forward_size
										lowercase						    =			hidden_dropout_prob
										lowercase						    =			lsh_attention_probs_dropout_prob
										lowercase						    =			local_attention_probs_dropout_prob
										lowercase						    =			max_position_embeddings
										lowercase						    =			initializer_range
										lowercase						    =			layer_norm_eps
										lowercase						    =			axial_pos_embds
										lowercase						    =			tuple(lowerCAmelCase__    )
										lowercase						    =			tuple(lowerCAmelCase__    )
										lowercase						    =			axial_norm_std
										lowercase						    =			chunk_size_lm_head
										lowercase						    =			attn_layers
										lowercase						    =			use_cache
										lowercase						    =			classifier_dropout
										super().__init__(
										    pad_token_id=lowerCAmelCase__		,						eos_token_id=lowerCAmelCase__		,						is_decoder=lowerCAmelCase__		,						tie_word_embeddings=lowerCAmelCase__		,						**lowerCAmelCase__		,						)
