


from math import ceil
def        UpperCamelCase_(				_A   :Tuple				,     _A   :List[Any]  )->		Any:
			UpperCamelCase__					=       list(range(0				,     _A  )  )

			UpperCamelCase__					=       [item for sublist in list(device_map.values()  ) for item in sublist]

			# Duplicate check
			UpperCamelCase__					=       []
			for i in device_map_blocks:
						if device_map_blocks.count(_A  ) > 1 and i not in duplicate_blocks:
									duplicate_blocks.append(_A  )
    # Missing blocks
			UpperCamelCase__					=       [i for i in blocks if i not in device_map_blocks]
			UpperCamelCase__					=       [i for i in device_map_blocks if i not in blocks]

			if len(_A  ) != 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(_A  )  )
			if len(_A  ) != 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(_A  )  )
			if len(_A  ) != 0:
						raise ValueError(
						    "The device_map contains more attention blocks than this model has. Remove these from the device_map:"
						    + str(_A  )  )







def        UpperCamelCase_(				_A   :List[str]				,     _A   :List[str]  )->		List[Any]:
			UpperCamelCase__					=       list(range(_A  )  )
			UpperCamelCase__					=       int(ceil(n_layers / len(_A  )  )  )
			UpperCamelCase__					=       [layers[i : i + n_blocks] for i in range(0				,     _A				,     _A  )]

			return dict(zip(_A				,     _A  )  )






from typing import TYPE_CHECKING

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


__UpperCamelCase    		=       {
    'configuration_resnet': ['RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ResNetConfig', 'ResNetOnnxConfig']
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       [
						    'RESNET_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'ResNetForImageClassification',
						    'ResNetModel',
						    'ResNetPreTrainedModel',
						    'ResNetBackbone',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       [
						    'TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'TFResNetForImageClassification',
						    'TFResNetModel',
						    'TFResNetPreTrainedModel',
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       [
						    'FlaxResNetForImageClassification',
						    'FlaxResNetModel',
						    'FlaxResNetPreTrainedModel',
						]

if TYPE_CHECKING:
						from .configuration_resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig, ResNetOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_resnet import (
												    RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ResNetBackbone,
												    ResNetForImageClassification,
												    ResNetModel,
												    ResNetPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_resnet import (
												    TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFResNetForImageClassification,
												    TFResNetModel,
												    TFResNetPreTrainedModel,
												)

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel


else:
						import sys

						__UpperCamelCase    		=       _LazyModule(__name__, globals()['__file__'], _import_structure)


