diff options
| -rw-r--r-- | model.py | 7 |
1 files changed, 5 insertions, 2 deletions
@@ -385,8 +385,8 @@ class PrimedGenerator(Runner): print("ENTERING LOOP....") for i in range(self.model.lookback, self.model.lookback + seq_len): - if (i % 100) == 0: - print("{}...".format(i)) + # if (i % 100) == 0: + print("{}...".format(i)) for (tier_index, rnn) in \ reversed(list(enumerate(self.model.frame_level_rnns))): @@ -417,7 +417,9 @@ class PrimedGenerator(Runner): frame_level_outputs[tier_index] = self.run_rnn( rnn, prev_samples, upper_tier_conditioning ) + print("ran rnn") + print("at bottom frame") sub_sequence = get_sub_sequence(i, bottom_frame_size) prev_samples = torch.autograd.Variable( @@ -426,6 +428,7 @@ class PrimedGenerator(Runner): ) if self.cuda: prev_samples = prev_samples.cuda() + print "get upp" upper_tier_conditioning = \ frame_level_outputs[0][:, i % bottom_frame_size, :] \ .unsqueeze(1) |