diff options
| author | Jules Laplace <julescarbon@gmail.com> | 2018-05-15 00:43:06 +0200 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2018-05-15 00:43:06 +0200 |
| commit | 3c2b37c46da522e1ac67a8a5f2c1b8fea5985b33 (patch) | |
| tree | a78a105af2e2a277522f2ce2564c397b74a6ab6a /model.py | |
| parent | 543fb3466b75f24bf79ac5658607574fc9b4402e (diff) | |
lol typo
Diffstat (limited to 'model.py')
| -rw-r--r-- | model.py | 9 |
1 files changed, 4 insertions, 5 deletions
@@ -375,11 +375,9 @@ class PrimedGenerator(Runner): ratio *= ratio a = sub_sequence_a[:, j].float() * (1-ratio) b = sub_sequence_b[:, j].float() * ratio - tmp_sub_sequence[:, j] = torch.clamp(a + b, 1, q_levels-1).long() + tmp_sub_sequence[:, j] = torch.clamp(a + b, 0, q_levels).long() - if i == 20: - print(a) - print(b) + if i == 32: print(tmp_sub_sequence) return tmp_sub_sequence @@ -390,7 +388,8 @@ class PrimedGenerator(Runner): if i % rnn.n_frame_samples != 0: continue - sub_sequence = get_sub_sequence(i, rnn.n_frame_samples) + # sub_sequence = get_sub_sequence(i, rnn.n_frame_samples) + sub_sequence = out_sequences[:, i - rnn.n_frame_samples : i], prev_samples = torch.autograd.Variable( 2 * utils.linear_dequantize( |
