torch_conv_tbc {torch}

Conv_tbc

Description

Conv_tbc

Usage

torch_conv_tbc(self, weight, bias, pad = 0L)

Arguments

self

NA input tensor of shape (\mbox{sequence length} \times batch \times \mbox{in\_channels})

weight

NA filter of shape (\mbox{kernel width} \times \mbox{in\_channels} \times \mbox{out\_channels})

bias

NA bias of shape (\mbox{out\_channels})

pad

NA number of timesteps to pad. Default: 0

TEST

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