
"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase								=						{"""configuration_qdqbert""": ["""QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """QDQBertConfig"""]}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase								=						[
							    """QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """QDQBertForMaskedLM""",
							    """QDQBertForMultipleChoice""",
							    """QDQBertForNextSentencePrediction""",
							    """QDQBertForQuestionAnswering""",
							    """QDQBertForSequenceClassification""",
							    """QDQBertForTokenClassification""",
							    """QDQBertLayer""",
							    """QDQBertLMHeadModel""",
							    """QDQBertModel""",
							    """QDQBertPreTrainedModel""",
							    """load_tf_weights_in_qdqbert""",
							]


if TYPE_CHECKING:
							from .configuration_qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_qdqbert import (
														    QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    QDQBertForMaskedLM,
														    QDQBertForMultipleChoice,
														    QDQBertForNextSentencePrediction,
														    QDQBertForQuestionAnswering,
														    QDQBertForSequenceClassification,
														    QDQBertForTokenClassification,
														    QDQBertLayer,
														    QDQBertLMHeadModel,
														    QDQBertModel,
														    QDQBertPreTrainedModel,
														    load_tf_weights_in_qdqbert,
														)


else:
							import sys

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

"""simple docstring"""


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


lowerCAmelCase								=						logging.get_logger(__name__)

lowerCAmelCase								=						{
    """uw-madison/nystromformer-512""": """https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json""",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}

class    A_     (					A__       ):



							"""simple docstring"""






							SCREAMING_SNAKE_CASE_     				=       """nystromformer"""





							def __init__(  self  :Optional[Any]					,							lowerCamelCase_  :Optional[Any]=30_000					,							lowerCamelCase_  :str=768					,							lowerCamelCase_  :str=12					,							lowerCamelCase_  :str=12					,							lowerCamelCase_  :Any=3_072					,							lowerCamelCase_  :Optional[int]="gelu_new"					,							lowerCamelCase_  :List[Any]=0.1					,							lowerCamelCase_  :List[str]=0.1					,							lowerCamelCase_  :Any=510					,							lowerCamelCase_  :Optional[int]=2					,							lowerCamelCase_  :List[Any]=64					,							lowerCamelCase_  :Union[str, Any]=64					,							lowerCamelCase_  :str=65					,							lowerCamelCase_  :Union[str, Any]=False					,							lowerCamelCase_  :str=0.02					,							lowerCamelCase_  :Any=1e-5					,							lowerCamelCase_  :int=1					,							lowerCamelCase_  :Optional[int]=0					,							lowerCamelCase_  :str=2					,							**lowerCamelCase_  :int					,							):





										"""simple docstring"""

										lowerCamelCase__     :					int		=vocab_size
										lowerCamelCase__     :					Optional[int]		=max_position_embeddings
										lowerCamelCase__     :					List[Any]		=hidden_size
										lowerCamelCase__     :					Tuple		=num_hidden_layers
										lowerCamelCase__     :					Optional[Any]		=num_attention_heads
										lowerCamelCase__     :					List[str]		=intermediate_size
										lowerCamelCase__     :					Union[str, Any]		=hidden_act
										lowerCamelCase__     :					int		=hidden_dropout_prob
										lowerCamelCase__     :					Tuple		=attention_probs_dropout_prob
										lowerCamelCase__     :					Dict		=initializer_range
										lowerCamelCase__     :					Tuple		=type_vocab_size
										lowerCamelCase__     :					Any		=segment_means_seq_len
										lowerCamelCase__     :					int		=num_landmarks
										lowerCamelCase__     :					Tuple		=conv_kernel_size
										lowerCamelCase__     :					Optional[int]		=inv_coeff_init_option
										lowerCamelCase__     :					List[str]		=layer_norm_eps
										super().__init__(pad_token_id=lowerCamelCase_					,							bos_token_id=lowerCamelCase_					,							eos_token_id=lowerCamelCase_					,							**lowerCamelCase_	)