ConvModule(Int32, Int32, Int32, Int32, Int32, Int32, Boolean, Boolean) Constructor
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
Initializes a new instance of the ConvModule class.
public ConvModule (int inChannel, int outChannel, int kernelSize, int stride = 1, int padding = 0, int dilation = 1, bool bias = true, bool useRelu = true);new Microsoft.ML.TorchSharp.AutoFormerV2.ConvModule : int * int * int * int * int * int * bool * bool -> Microsoft.ML.TorchSharp.AutoFormerV2.ConvModulePublic Sub New (inChannel As Integer, outChannel As Integer, kernelSize As Integer, Optional stride As Integer = 1, Optional padding As Integer = 0, Optional dilation As Integer = 1, Optional bias As Boolean = true, Optional useRelu As Boolean = true)Parameters
- inChannel
- Int32
The input channels of convolution layer.
- outChannel
- Int32
The output channels of convolution layer.
- kernelSize
- Int32
The kernel size of convolution layer.
- stride
- Int32
The stride of convolution layer.
- padding
- Int32
The padding of convolution layer.
- dilation
- Int32
The dilation of convolution layer.
- bias
- Boolean
The bias of convolution layer.
- useRelu
- Boolean
Whether use Relu activation function.