Conv1d input shape is (batch_size, channels, length), the
channels act as
input features of input sequence in my case.
My input sequences have different lengths. I know I can use
nn.utils.rnn.pack_sequence for padding sequences to same lengths, but how to make
Conv1d compatible with it like RNN?
Because I don’t want to the padding zeros which may effect training.