Class ConvTranspose

Represents a ConvTranspose transpose convolution layer, which applies a convolution filter to an input tensor.

Inheritance

object

Layer

FusedActivation

ConvTranspose

Inherited Members

FusedActivation.fusedActivation

Layer.inputs

Layer.name

Layer.outputs

Layer.flags

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Namespace: Unity.Sentis.Layers

Assembly: solution.dll

Syntax

[Serializable]
public class ConvTranspose : FusedActivation

Constructors

Name	Description
ConvTranspose(string, string, string, int[], int[], AutoPad, int[], int[], FusableActivation)	Initializes and returns an instance of ConvTranspose convolution layer.
ConvTranspose(string, string, string, string, int[], int[], AutoPad, int[], int[], FusableActivation)	Initializes and returns an instance of ConvTranspose convolution layer.

Fields

Name	Description
autoPad	The auto padding mode of the transpose convolution.
kernelShape	The shape of the kernel.
outputPadding	The output padding value for each spatial dimension in the filter. The layer adds the output padding to the side with higher coordinate indices in the output tensor. If this is null the layer uses a default of [0, 0, ..., 0].
pads	The lower and upper padding values for each spatial dimension of the filter. For example [pad_left, pad_right] for 1D, or [pad_top, pad_bottom, pad_left, pad_right] for 2D. If this is null the layer uses a default of [0, 0, ..., 0].
strides	The stride value for each spatial dimension of the filter. If this is null the layer uses a default of [1, 1, ..., 1].

Methods

Name	Description
Execute(Tensor[], ExecutionContext)	Executes the layer using the operations and variables from the ExecutionContext and returns the output tensor. If the layer has more than one output, output tensors are saved to variables.
ToString()	Returns a string that represents the Layer.