AudioTensor

• Wrap your tensor as AudioTensor(tensor, hop_length) and use it as a regular tensor.
• For ndim > 1, the shape is (B, T, ...), where B is the batch size and T is the number of frames.
• For ndim == 1, the shape is (B,) and hop_length = -1.
• Tensors with different hop_length will be automatically linearly resampled to the maximum common divisor of hop_lengths when performing operations.
• set_hop_length(hop_length) will resample the tensor to the new hop_length.
• reduce_hop_length() will upsample the tensor to hop_length = 1.
• steps will return the size of T in the tensor.
• truncate(steps) will truncate the tensor to the given steps.
• unfold(size, step) return a view of the tensor with a sliding window of size size and step step along the T dimension.