nnf_conv_tbc: Conv_tbc
In torch: Tensors and Neural Networks with 'GPU' Acceleration

nnf_conv_tbc

R Documentation

Conv_tbc

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

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

`input`	input tensor of shape `(\mbox{sequence length} \times batch \times \mbox{in\_channels})`
`weight`	filter of shape (`\mbox{kernel width} \times \mbox{in\_channels} \times \mbox{out\_channels}`)
`bias`	bias of shape (`\mbox{out\_channels}`)
`pad`	number of timesteps to pad. Default: 0