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Conv_tbc

Source: R/gen-namespace-docs.R, R/gen-namespace-examples.R, R/gen-namespace.R
torch_conv_tbc.Rd

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.