diff options
| -rw-r--r-- | model.py | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -370,7 +370,7 @@ class PrimedGenerator(Runner): tmp_sub_sequence = tmp_sequences[:, i-n : i] # tmp/output for j in range(n): - ratio = j / (n-1) + ratio = j / (bottom_frame_size-1) 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() @@ -413,8 +413,8 @@ class PrimedGenerator(Runner): rnn, prev_samples, upper_tier_conditioning ) - # sub_sequence = get_sub_sequence(i, bottom_frame_size) - sub_sequence = out_sequences[:, i-bottom_frame_size : i] + sub_sequence = get_sub_sequence(i, bottom_frame_size) + # sub_sequence = out_sequences[:, i-bottom_frame_size : i] prev_samples = torch.autograd.Variable( sub_sequence, |