


'''simple docstring'''

from math import ceil





def lowerCamelCase      (      lowerCAmelCase    :     List[str]		,		lowerCAmelCase    :     Any		):





	"""simple docstring"""







	__magic_name__	:   List[str]					     =					list(range(0		,		lowerCAmelCase		)		)

	__magic_name__	:   List[Any]					     =					[item for sublist in list(device_map.values()		) for item in sublist]

	# Duplicate check
	__magic_name__	:   Union[str, Any]					     =					[]
	for i in device_map_blocks:
		if device_map_blocks.count(lowerCAmelCase		) > 1 and i not in duplicate_blocks:
			duplicate_blocks.append(lowerCAmelCase		)
    # Missing blocks
	__magic_name__	:   str					     =					[i for i in blocks if i not in device_map_blocks]
	__magic_name__	:   str					     =					[i for i in device_map_blocks if i not in blocks]

	if len(lowerCAmelCase		) != 0:
		raise ValueError(
		    'Duplicate attention blocks specified in device_map. Attention blocks must be specified to one device.'
		    ' These attention blocks were specified more than once: ' + str(lowerCAmelCase		)		)
	if len(lowerCAmelCase		) != 0:
		raise ValueError(
		    'There are attention blocks for this model that are not specified in the device_map. Add these attention '
		    'blocks to a device on the device_map: ' + str(lowerCAmelCase		)		)
	if len(lowerCAmelCase		) != 0:
		raise ValueError(
		    'The device_map contains more attention blocks than this model has. Remove these from the device_map:'
		    + str(lowerCAmelCase		)		)





def lowerCamelCase      (      lowerCAmelCase    :     Tuple		,		lowerCAmelCase    :     List[str]		):





	"""simple docstring"""







	__magic_name__	:   Optional[Any]					     =					list(range(lowerCAmelCase		)		)
	__magic_name__	:   int					     =					int(ceil(n_layers / len(lowerCAmelCase		)		)		)
	__magic_name__	:   Optional[Any]					     =					[layers[i : i + n_blocks] for i in range(0		,		lowerCAmelCase		,		lowerCAmelCase		)]

	return dict(zip(lowerCAmelCase		,		lowerCAmelCase		)		)



'''simple docstring'''

from typing import TYPE_CHECKING

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


lowerCAmelCase				:str        =      {
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase				:List[str]        =      ['''VisionEncoderDecoderModel''']

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase				:List[str]        =      ['''TFVisionEncoderDecoderModel''']

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase				:Optional[Any]        =      ['''FlaxVisionEncoderDecoderModel''']

if TYPE_CHECKING:
							from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
							import sys

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