






from typing import TYPE_CHECKING

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


UpperCamelCase								=		{
    "configuration_swiftformer": [
        "SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SwiftFormerConfig",
        "SwiftFormerOnnxConfig",
    ]
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase								=		[
							    "SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "SwiftFormerForImageClassification",
							    "SwiftFormerModel",
							    "SwiftFormerPreTrainedModel",
							]

if TYPE_CHECKING:
							from .configuration_swiftformer import (
							    SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    SwiftFormerConfig,
							    SwiftFormerOnnxConfig,
							)

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_swiftformer import (
														    SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    SwiftFormerForImageClassification,
														    SwiftFormerModel,
														    SwiftFormerPreTrainedModel,
														)

else:
							import sys

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






'''simple docstring'''
import numpy as np




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							np.ndarray:


		'''simple docstring'''


		return 1 / (1 + np.exp(-vector			))




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							np.ndarray:


		'''simple docstring'''


		return vector * sigmoid(SCREAMING_SNAKE_CASE__			)


if __name__ == "__main__":
						import doctest

						doctest.testmod()


