Applies a 2D convolution over an input image composed of several input planes.

## Usage

nnf_conv2d(
input,
weight,
bias = NULL,
stride = 1,
dilation = 1,
groups = 1
)

## Arguments

input

input tensor of shape (minibatch, in_channels, iH , iW)

weight

filters of shape (out_channels , in_channels/groups, kH , kW)

bias

optional bias tensor of shape (out_channels). Default: NULL

stride

the stride of the convolving kernel. Can be a single number or a tuple (sH, sW). Default: 1

implicit paddings on both sides of the input. Can be a single number or a tuple (padH, padW). Default: 0
the spacing between kernel elements. Can be a single number or a tuple (dH, dW). Default: 1
split input into groups, in_channels should be divisible by the number of groups. Default: 1