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torch_conv_tbc

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.


torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0
MIT + file LICENSE
Authors
Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]
Initial release

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