Function conv2d

conv2d(input, weight, bias?, stride?, padding?): Tensor
Applies a 2D convolution over an input image composed of several input planes.

Forward
```
output[y, x] = sum(Ky, sum(Kx, input[y + ky, x + kx] * weight[ky, kx])) + bias
```
Parameters
- input: Tensor
  
  input tensor of shape [B, inChannels, iH, iW]
- weight: Tensor
  
  filters of shape [outChannels, inChannels, kH, kW]
- Optional bias: Tensor
  
  optional bias tensor of shape [outChannels]
- Optional stride: number | [number, number]
  
  the stride of the convolving kernel. Can be a single number or a tuple (sH, sW). Default: 1
- Optional padding: number | [number, number] | "valid" | "same"
  
  implicit padding on both sides of the kernel. Can be a single number or a tuple (padH, padW). Default: 0 padding="valid" is the same as no padding. padding="same" pads the input so the output has the shape as the input. However, this mode can only be used when stride is 1.
Returns Tensor
- Defined in ops_artisanal.ts:63

Generated using TypeDoc