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| author | Jules Laplace <julescarbon@gmail.com> | 2018-05-14 23:05:26 +0200 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2018-05-14 23:05:26 +0200 |
| commit | 4cb2ed87eaa08e8e691589cc3195bfa28da727ca (patch) | |
| tree | 04f1b721e6ce0200fb92e32acfb218682692fe2a /model.py | |
| parent | c4c23d149659e1cfefda57fee455fa591f10f098 (diff) | |
okayyyyyyy
Diffstat (limited to 'model.py')
| -rw-r--r-- | model.py | 4 |
1 files changed, 3 insertions, 1 deletions
@@ -429,13 +429,15 @@ class PrimedGenerator(Runner): if self.cuda: prev_samples = prev_samples.cuda() - print("get upper tier conditioning..") + print("get upper tier conditioning.. {}".format(i % bottom_frame_size)) upper_tier_conditioning = \ frame_level_outputs[0][:, i % bottom_frame_size, :] \ .unsqueeze(1) + print(upper_tier_conditioning.shape) sample_dist = self.model.sample_level_mlp( prev_samples, upper_tier_conditioning ).squeeze(1).exp_().data + print(sample_dist.shape) out_sequences[:, i] = sample_dist.multinomial(1).squeeze(1) torch.backends.cudnn.enabled = True |
