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authorJules Laplace <julescarbon@gmail.com>2018-05-14 23:40:49 +0200
committerJules Laplace <julescarbon@gmail.com>2018-05-14 23:40:49 +0200
commitdb041b6193eab8cb68197dcd6c385c420880da84 (patch)
tree9aa54b8364f1384c8406c42bbc37e4df9fc1e0d9
parentfc3877c0b8ededbc94cf583960e73bc4f8856484 (diff)
okayyyyyyy
-rwxr-xr-xgen-prime.sh2
-rw-r--r--model.py6
2 files changed, 1 insertions, 7 deletions
diff --git a/gen-prime.sh b/gen-prime.sh
index c819114..76b509e 100755
--- a/gen-prime.sh
+++ b/gen-prime.sh
@@ -54,7 +54,7 @@ function gen_prime_set () {
# gen_prime $1 6 44100 'zero'
# gen_prime $1 6 44100 'noise'
# gen_prime $1 6 44100 'sin' 440
- gen_prime $1 6 100 'noise' 0 0 True
+ gen_prime $1 6 44100 'noise' 0 0 True
# gen_prime $1 6 44100 'sin' 440 0 True
}
diff --git a/model.py b/model.py
index 06b3cfe..5b4c594 100644
--- a/model.py
+++ b/model.py
@@ -415,20 +415,14 @@ class PrimedGenerator(Runner):
if self.cuda:
prev_samples = prev_samples.cuda()
- 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)
multi = sample_dist.multinomial(1)
- print(multi.shape)
pred = multi.squeeze(1)
- print(pred.shape)
- print(out_sequences.shape)
out_sequences[:, i] = pred
torch.backends.cudnn.enabled = True