
'''simple docstring'''

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


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

UpperCAmelCase__ :			Optional[int]											=		{
    "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/config.json",
    "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/config.json"
    # See all FNet models at https://huggingface.co/models?filter=fnet
}






class  A  (						SCREAMING_SNAKE_CASE__     ):
	snake_case__   :str   =  'fnet'





	def __init__(       self      :							Optional[Any]   ,				__magic_name__      :							Tuple=32000   ,				__magic_name__      :							str=768   ,				__magic_name__      :							int=12   ,				__magic_name__      :							Any=3072   ,				__magic_name__      :							str="gelu_new"   ,				__magic_name__      :							Dict=0.1   ,				__magic_name__      :							int=512   ,				__magic_name__      :							int=4   ,				__magic_name__      :							List[Any]=0.02   ,				__magic_name__      :							Tuple=1E-12   ,				__magic_name__      :							List[str]=False   ,				__magic_name__      :							Union[str, Any]=512   ,				__magic_name__      :							str=3   ,				__magic_name__      :							Tuple=1   ,				__magic_name__      :							Union[str, Any]=2   ,				**__magic_name__      :							Tuple   ,				):


				"""simple docstring"""

				super().__init__(pad_token_id=__magic_name__   ,				bos_token_id=__magic_name__   ,				eos_token_id=__magic_name__   ,				**__magic_name__				)

				lowerCAmelCase__										=				vocab_size
				lowerCAmelCase__										=				max_position_embeddings
				lowerCAmelCase__										=				hidden_size
				lowerCAmelCase__										=				num_hidden_layers
				lowerCAmelCase__										=				intermediate_size
				lowerCAmelCase__										=				hidden_act
				lowerCAmelCase__										=				hidden_dropout_prob
				lowerCAmelCase__										=				initializer_range
				lowerCAmelCase__										=				type_vocab_size
				lowerCAmelCase__										=				layer_norm_eps
				lowerCAmelCase__										=				use_tpu_fourier_optimizations
				lowerCAmelCase__										=				tpu_short_seq_length










"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase     =							{"""configuration_wavlm""": ["""WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """WavLMConfig"""]}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCamelCase     =							[
			    """WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """WavLMForAudioFrameClassification""",
			    """WavLMForCTC""",
			    """WavLMForSequenceClassification""",
			    """WavLMForXVector""",
			    """WavLMModel""",
			    """WavLMPreTrainedModel""",
			]

if TYPE_CHECKING:
			from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_wavlm import (
						    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
						    WavLMForAudioFrameClassification,
						    WavLMForCTC,
						    WavLMForSequenceClassification,
						    WavLMForXVector,
						    WavLMModel,
						    WavLMPreTrainedModel,
						)

else:
			import sys

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




