torch (version 0.0.2)

nnf_conv_tbc: Conv_tbc

Description

Applies a 1-dimensional sequence convolution over an input sequence. Input and output dimensions are (Time, Batch, Channels) - hence TBC.

Usage

nnf_conv_tbc(input, weight, bias, pad = 0)

Arguments

input

input tensor of shape $(\text{sequence length}\times batch\times \text{in\_channels})$

weight

filter of shape ($\text{kernel width}\times \text{in\_channels}\times \text{out\_channels}$)

bias

bias of shape ($\text{out\_channels}$)

pad

number of timesteps to pad. Default: 0