(seqs, snip_length, cut_dim=0, cutting_stride=None, pad_samples=0)
| 189 | |
| 190 | |
| 191 | def create_windowed_sequence(seqs, snip_length, cut_dim=0, cutting_stride=None, pad_samples=0): |
| 192 | windowed_seqs = [] |
| 193 | for seq in seqs: |
| 194 | windowed_seqs.append(cut_n_stack(seq, snip_length, cut_dim, cutting_stride, pad_samples).unsqueeze(0)) |
| 195 | |
| 196 | return torch.cat(windowed_seqs) |