Class Conv

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

Conv

Layer.name

Layer.flags

[Serializable]
public class Conv : FusedActivation

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

Name	Description
autoPad	The auto padding mode of the convolution as an `AutoPad`.
dilations	The dilation value of each spatial dimension of the filter. If this is `null` the layer uses a default of [1, 1, ..., 1].
group	The number of groups that input channels and output channels are divided into.
kernelShape	The shape of the kernel as an integer array.
pads	The lower and upper padding values for each spatial dimension of the filter, [pad_left, pad_right] for 1D, [pad_top, pad_bottom, pad_left, pad_right] for 2D, etc. 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].

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`.