API Reference - PaddingLayers

Constructors

FastZeroPadding 


PaddingLayers.FastZeroPadding{tensor: tensor, headPaddingDimensionSizeArray: {number}, tailPaddingDimensionSizeArray: {number}}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be padded.

  • headPaddingDimensionSizeArray: The dimension size array for padding to be placed in front of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • tailPaddingDimensionSizeArray: The dimension size array for padding to be placed at the back of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

FastConstantPadding 


PaddingLayers.FastConstantPadding{tensor: tensor, headPaddingDimensionSizeArray: {number}, tailPaddingDimensionSizeArray: {number}, value: number}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be padded.

  • headPaddingDimensionSizeArray: The dimension size array for padding to be placed in front of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • tailPaddingDimensionSizeArray: The dimension size array for padding to be placed at the back of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • value: The value to fill the padding with. [Default: 0]

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

FastCircularPadding 


PaddingLayers.FastCircularPadding{tensor: tensor, headPaddingDimensionSizeArray: {number}, tailPaddingDimensionSizeArray: {number}, value: number}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be padded.

  • headPaddingDimensionSizeArray: The dimension size array for padding to be placed in front of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • tailPaddingDimensionSizeArray: The dimension size array for padding to be placed at the back of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

FastReflectionPadding 


PaddingLayers.FastReflectionPadding{tensor: tensor, headPaddingDimensionSizeArray: {number}, tailPaddingDimensionSizeArray: {number}, value: number}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be padded.

  • headPaddingDimensionSizeArray: The dimension size array for padding to be placed in front of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • tailPaddingDimensionSizeArray: The dimension size array for padding to be placed at the back of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

FastReplicationPadding 


PaddingLayers.FastReplicationPadding{tensor: tensor, headPaddingDimensionSizeArray: {number}, tailPaddingDimensionSizeArray: {number}, value: number}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be padded.

  • headPaddingDimensionSizeArray: The dimension size array for padding to be placed in front of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • tailPaddingDimensionSizeArray: The dimension size array for padding to be placed at the back of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

ZeroPadding 


PaddingLayers.ZeroPadding{tensor: tensor, headPaddingDimensionSizeArray: {number}, tailPaddingDimensionSizeArray: {number}}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be padded.

  • headPaddingDimensionSizeArray: The dimension size array for padding to be placed in front of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • tailPaddingDimensionSizeArray: The dimension size array for padding to be placed at the back of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

ConstantPadding 


PaddingLayers.ConstantPadding{tensor: tensor, headPaddingDimensionSizeArray: {number}, tailPaddingDimensionSizeArray: {number}, value: number}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be padded.

  • headPaddingDimensionSizeArray: The dimension size array for padding to be placed in front of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • tailPaddingDimensionSizeArray: The dimension size array for padding to be placed at the back of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • value: The value to fill the padding with. [Default: 0]

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

CircularPadding 


PaddingLayers.CircularPadding{tensor: tensor, headPaddingDimensionSizeArray: {number}, tailPaddingDimensionSizeArray: {number}, value: number}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be padded.

  • headPaddingDimensionSizeArray: The dimension size array for padding to be placed in front of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • tailPaddingDimensionSizeArray: The dimension size array for padding to be placed at the back of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

ReflectionPadding 


PaddingLayers.ReflectionPadding{tensor: tensor, headPaddingDimensionSizeArray: {number}, tailPaddingDimensionSizeArray: {number}, value: number}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be padded.

  • headPaddingDimensionSizeArray: The dimension size array for padding to be placed in front of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • tailPaddingDimensionSizeArray: The dimension size array for padding to be placed at the back of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

ReplicationPadding 


PaddingLayers.ReplicationPadding{tensor: tensor, headPaddingDimensionSizeArray: {number}, tailPaddingDimensionSizeArray: {number}, value: number}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be padded.

  • headPaddingDimensionSizeArray: The dimension size array for padding to be placed in front of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

  • tailPaddingDimensionSizeArray: The dimension size array for padding to be placed at the back of the input tensor. Make note that when adding the padding sizes to the array, the padding starts from the final dimension.

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.