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

## 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- padding
implicit paddings on both sides of the input. Can be a single number or a tuple

`(padH, padW)`

. Default: 0- dilation
the spacing between kernel elements. Can be a single number or a tuple

`(dH, dW)`

. Default: 1- groups
split input into groups,

`in_channels`

should be divisible by the number of groups. Default: 1