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| author | Jules Laplace <julescarbon@gmail.com> | 2018-05-15 00:44:46 +0200 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2018-05-15 00:44:46 +0200 |
| commit | b5532f18c3b56d1715aef0a81820fd2ec7b05a70 (patch) | |
| tree | befa0a6c3d218b01a011df6b7f6cd9f42d656b9c /model.py | |
| parent | 3c2b37c46da522e1ac67a8a5f2c1b8fea5985b33 (diff) | |
lol typo
Diffstat (limited to 'model.py')
| -rw-r--r-- | model.py | 8 |
1 files changed, 4 insertions, 4 deletions
@@ -388,8 +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 = out_sequences[:, i - rnn.n_frame_samples : i], + 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( @@ -414,8 +414,8 @@ 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, |