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 |
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