I’m currently trying to use torchaudio.transforms.Spectrogram with power = None to return the complex spectrogram. The forward method of this class returns a tensor with a shape of (...,2). I am aware that the last two dimensions represent the real and imaginary parts, but it is not clear from the documentation which one is which and how they represent a complex tensor.
For example, if torchaudio.transforms.Spectrogram returns x with shape (256,256,2), is x[...,0] the real part or the imaginary part? Also, if x was a complex tensor, then would it be expressed as x[...,0] + x[...,1]j or x[...,1] + x[...,0]j?