Constructor ConvTranspose

ConvTranspose(string, string, string, string, int[], int[], AutoPad, int[], int[], FusableActivation)

Initializes and returns an instance of ConvTranspose convolution layer.

Declaration

public ConvTranspose(string name, string input, string kernel, string bias, int[] strides, int[] pads, AutoPad autoPad, int[] outputPadding, int[] kernelShape = null, FusableActivation fusedActivation = FusableActivation.None)

Parameters

Type	Name	Description
string	name	The name to use for the output tensor of the layer.
string	input	The name to use for the input tensor of the layer.
string	kernel	The name to use for the filter tensor of the layer.
string	bias	The name to use for the optional bias tensor of the layer.
int[]	strides	The optional stride value for each spatial dimension of the filter.
int[]	pads	The optional lower and upper padding values for each spatial dimension of the filter.
AutoPad	autoPad	The auto padding mode of the convolution.
int[]	outputPadding	The output padding value for each spatial dimension in the filter.
int[]	kernelShape	The shape of the kernel as an integer array.
FusableActivation	fusedActivation	The fused activation type to apply after the convolution. The default value is None.

ConvTranspose(string, string, string, int[], int[], AutoPad, int[], int[], FusableActivation)

Initializes and returns an instance of ConvTranspose convolution layer.

Declaration

public ConvTranspose(string name, string input, string kernel, int[] strides, int[] pads, AutoPad autoPad, int[] outputPadding, int[] kernelShape = null, FusableActivation fusedActivation = FusableActivation.None)

Parameters

Type	Name	Description
string	name	The name to use for the output tensor of the layer.
string	input	The name to use for the input tensor of the layer.
string	kernel	The name to use for the filter tensor of the layer.
int[]	strides	The optional stride value for each spatial dimension of the filter.
int[]	pads	The optional lower and upper padding values for each spatial dimension of the filter.
AutoPad	autoPad	The auto padding mode of the convolution.
int[]	outputPadding	The output padding value for each spatial dimension in the filter.
int[]	kernelShape	The shape of the kernel as an integer array.
FusableActivation	fusedActivation	The fused activation type to apply after the convolution. The default value is None.