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


lowerCAmelCase__  	=      logging.get_logger(__name__)

lowerCAmelCase__  	=      {
    "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 	_a  (							lowerCamelCase_					):



	"""simple docstring"""



	__SCREAMING_SNAKE_CASE              =					'reformer'
	__SCREAMING_SNAKE_CASE              =					['past_buckets_states']
	__SCREAMING_SNAKE_CASE              =					{}


	def __init__(   self       ,  lowerCAmelCase_=64       ,  lowerCAmelCase_=["local", "lsh", "local", "lsh", "local", "lsh"]       ,  lowerCAmelCase_=1.0       ,  lowerCAmelCase_=True       ,  lowerCAmelCase_=[64, 64]       ,  lowerCAmelCase_=[64, 192]       ,  lowerCAmelCase_=0       ,  lowerCAmelCase_=2       ,  lowerCAmelCase_=512       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_="relu"       ,  lowerCAmelCase_=0.0_5       ,  lowerCAmelCase_=256       ,  lowerCAmelCase_=0.0_2       ,  lowerCAmelCase_=False       ,  lowerCAmelCase_=1e-12       ,  lowerCAmelCase_=1       ,  lowerCAmelCase_=0       ,  lowerCAmelCase_=0.0_5       ,  lowerCAmelCase_=64       ,  lowerCAmelCase_=64       ,  lowerCAmelCase_=0.0       ,  lowerCAmelCase_=1       ,  lowerCAmelCase_=0       ,  lowerCAmelCase_=4096       ,  lowerCAmelCase_=12       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_=1       ,  lowerCAmelCase_=0       ,  lowerCAmelCase_=320       ,  lowerCAmelCase_=False       ,  lowerCAmelCase_=True       ,  lowerCAmelCase_=None       ,  **lowerCAmelCase_       ,  ):
		_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_       ,  )





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase__  	=      {
    "configuration_imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig", "ImageGPTOnnxConfig"]
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__  	=      ["ImageGPTFeatureExtractor"]
						lowerCAmelCase__  	=      ["ImageGPTImageProcessor"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__  	=      [
						    "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "ImageGPTForCausalImageModeling",
						    "ImageGPTForImageClassification",
						    "ImageGPTModel",
						    "ImageGPTPreTrainedModel",
						    "load_tf_weights_in_imagegpt",
						]


if TYPE_CHECKING:
						from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig, ImageGPTOnnxConfig

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_imagegpt import ImageGPTFeatureExtractor
												from .image_processing_imagegpt import ImageGPTImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_imagegpt import (
												    IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ImageGPTForCausalImageModeling,
												    ImageGPTForImageClassification,
												    ImageGPTModel,
												    ImageGPTPreTrainedModel,
												    load_tf_weights_in_imagegpt,
												)

else:
						import sys

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




