


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


A	:		Any    =       logging.get_logger(__name__)

A	:		List[Any]    =       {
    'facebook/s2t-wav2vec2-large-en-de': (
        'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/config.json'
    ),
    # See all Speech2Text models at https://huggingface.co/models?filter=speech2text2
}



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			'''speech_to_text_2'''
					A__      =			['''past_key_values''']
					A__      =			{'''num_attention_heads''': '''decoder_attention_heads''', '''hidden_size''': '''d_model'''}

					def __init__(self   :						Optional[Any]				, _UpperCAmelCase   :						Any=1_0000				, _UpperCAmelCase   :						Tuple=6				, _UpperCAmelCase   :						Dict=2048				, _UpperCAmelCase   :						Tuple=4				, _UpperCAmelCase   :						Union[str, Any]=0.0				, _UpperCAmelCase   :						List[str]=True				, _UpperCAmelCase   :						Dict="relu"				, _UpperCAmelCase   :						List[Any]=256				, _UpperCAmelCase   :						Dict=0.1				, _UpperCAmelCase   :						Union[str, Any]=0.0				, _UpperCAmelCase   :						Dict=0.0				, _UpperCAmelCase   :						Tuple=0.02				, _UpperCAmelCase   :						str=2				, _UpperCAmelCase   :						List[Any]=True				, _UpperCAmelCase   :						Dict=1				, _UpperCAmelCase   :						Optional[Any]=0				, _UpperCAmelCase   :						List[str]=2				, _UpperCAmelCase   :						Union[str, Any]=1024				, **_UpperCAmelCase   :						Dict				, )						->       Tuple:




							"""simple docstring"""


							lowercase__					      =		vocab_size
							lowercase__					      =		d_model
							lowercase__					      =		decoder_ffn_dim
							lowercase__					      =		decoder_layers
							lowercase__					      =		decoder_attention_heads
							lowercase__					      =		dropout
							lowercase__					      =		attention_dropout
							lowercase__					      =		activation_dropout
							lowercase__					      =		activation_function
							lowercase__					      =		init_std
							lowercase__					      =		decoder_layerdrop
							lowercase__					      =		use_cache
							lowercase__					      =		decoder_layers
							lowercase__					      =		scale_embedding  # scale factor will be sqrt(d_model) if True
							lowercase__					      =		max_target_positions

							super().__init__(
							    pad_token_id=_UpperCAmelCase				, bos_token_id=_UpperCAmelCase				, eos_token_id=_UpperCAmelCase				, decoder_start_token_id=_UpperCAmelCase				, **_UpperCAmelCase				, )





from typing import TYPE_CHECKING

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


A	:		Dict    =       {'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A	:		Tuple    =       ['GLPNFeatureExtractor']
	A	:		List[str]    =       ['GLPNImageProcessor']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A	:		Optional[int]    =       [
	    'GLPN_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'GLPNForDepthEstimation',
	    'GLPNLayer',
	    'GLPNModel',
	    'GLPNPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_glpn import GLPNFeatureExtractor
		from .image_processing_glpn import GLPNImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_glpn import (
		    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GLPNForDepthEstimation,
		    GLPNLayer,
		    GLPNModel,
		    GLPNPreTrainedModel,
		)


else:
	import sys

	A	:		Tuple    =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

