Share via

ConvLayer Class

  • Reference

Definition

Namespace:
Microsoft.ML.TorchSharp.AutoFormerV2
Assembly:
Microsoft.ML.TorchSharp.dll
Package:
Microsoft.ML.TorchSharp v0.21.1

The layer of convolution blocks in AutoFormer network.

public class ConvLayer : TorchSharp.torch.nn.Module<TorchSharp.torch.Tensor,int,int,(TorchSharp.torch.Tensor, int, int, TorchSharp.torch.Tensor, int, int)>
type ConvLayer = class
    inherit torch.nn.Module<torch.Tensor, int, int, ValueTuple<torch.Tensor, int, int, torch.Tensor, int, int>>
Public Class ConvLayer
Inherits torch.nn.Module(Of torch.Tensor, Integer, Integer, ValueTuple(Of torch.Tensor, Integer, Integer, torch.Tensor, Integer, Integer))
Inheritance
torch.nn.Module<TorchSharp.torch.Tensor,Int32,Int32,ValueTuple<TorchSharp.torch.Tensor,Int32,Int32,TorchSharp.torch.Tensor,Int32,Int32>>
ConvLayer

Constructors

ConvLayer(Int32, Int32, Int32, Double)

Initializes a new instance of the ConvLayer class.

Methods

forward(torch+Tensor, Int32, Int32) TorchSharp.torch.nn.Module`4.forward(TorchSharp.torch.Tensor,System.Int32,System.Int32)

Applies to