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| author | Jules Laplace <julescarbon@gmail.com> | 2018-05-14 20:06:00 +0200 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2018-05-14 20:06:00 +0200 |
| commit | 45e252f2fc33992b52dc34251c0ba31970b92ee5 (patch) | |
| tree | 737f3eba1d15f72cd890690f670f1a78c99b8746 | |
| parent | 7de430fe12bc6ebdab054884dddda20463431181 (diff) | |
q_max and min
| -rw-r--r-- | model.py | 6 |
1 files changed, 4 insertions, 2 deletions
@@ -322,6 +322,8 @@ class PrimedGenerator(Runner): frame_level_outputs = [None for _ in self.model.frame_level_rnns] q_levels = self.model.q_levels + q_min = 0 + q_max = q_levels primer_freq = 440 print("_______-___-_---_-____") @@ -333,10 +335,10 @@ class PrimedGenerator(Runner): def noise(x): for i in xrange(n_samples): - x[:, i] = random.triangular(0, q_levels) + x[:, i] = random.triangular(q_min, q_max) def sin(x): for i in xrange(n_samples): - x[:, i] = (math.sin(i/44100 * primer_freq) + 1) / 2 * q_levels + x[:, i] = (math.sin(i/44100 * primer_freq) + 1) / 2 * (q_max - q_min) + q_min sequences = { 'zero': lambda x: x.fill_(utils.q_zero(self.model.q_levels)), |
