Applies a 1D convolution over an input signal composed of several input planes.

## Arguments

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

- weight
filters of shape (out_channels, in_channels/groups , kW)

- bias
optional bias of shape (out_channels). Default:

`NULL`

- stride
the stride of the convolving kernel. Can be a single number or a one-element tuple

`(sW,)`

. Default: 1- padding
implicit paddings on both sides of the input. Can be a single number or a one-element tuple

`(padW,)`

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

`(dW,)`

. Default: 1- groups
split input into groups,

`in_channels`

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