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

Syntax

[Serializable]
public class ConvTranspose : FusedActivation

Constructors

ConvTranspose(String, String, String, String, Int32[], Int32[], AutoPad, Int32[], Int32[], 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.
Int32[]	strides	The optional stride value for each spatial dimension of the filter.
Int32[]	pads	The optional lower and upper padding values for each spatial dimension of the filter.
AutoPad	autoPad	The auto padding mode of the convolution.
Int32[]	outputPadding	The output padding value for each spatial dimension in the filter.
Int32[]	kernelShape
FusableActivation	fusedActivation	The fused activation type to apply after the convolution. The default value is None.

Fields

autoPad

The auto padding mode of the transpose convolution.

Declaration

public AutoPad autoPad

Field Value

Type	Description
AutoPad

kernelShape

Declaration

public int[] kernelShape

Field Value

Type	Description
Int32[]

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].

Declaration

public int[] outputPadding

Field Value

Type	Description
Int32[]

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].

Declaration

public int[] pads

Field Value

Type	Description
Int32[]

strides

The stride value for each spatial dimension of the filter.

If this is null the layer uses a default of [1, 1, ..., 1].

Declaration

public int[] strides

Field Value

Type	Description
Int32[]

Methods

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.

Declaration

public override Tensor Execute(Tensor[] inputTensors, ExecutionContext ctx)

Parameters

Type	Name	Description
Tensor[]	inputTensors
ExecutionContext	ctx

Returns

Type	Description
Tensor

Overrides

Layer.Execute(Tensor[], ExecutionContext)

ToString()

Returns a string that represents the Layer.

Declaration

public override string ToString()

Returns

Type	Description
String

Overrides

FusedActivation.ToString()