Dimensional transformation

How do you know a series of dimension transformations such as dimension exchange in decoder_inputs = decoder_inputs.transpose(1, 2)? why, on what basis

here is link. https://github.com/NVIDIA/tacotron2/blob/master/model.py

@Gorgen In order to understand this, you can think about this logically

  • B denotes batch_size. This cannot change

  • n_mel_channels represent features. This can change

  • T_out also represent features and can change

The above operation breaks out n_channels into further features based on the n_frames_per_step. If the n_frames_per_step > 1 then n_channels will increase. vice versa will happen to the T_out