diff options
| author | Jules Laplace <julescarbon@gmail.com> | 2018-05-14 23:27:16 +0200 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2018-05-14 23:27:16 +0200 |
| commit | ba99237f1ab258e8f5eac0d01719e92751c9b2a3 (patch) | |
| tree | c19bd3b4a7157beae2c2329f4ae1e90288480b09 | |
| parent | 410e8ed4f3b2e4debe61d510e23eb8401f238c13 (diff) | |
okayyyyyyy
| -rwxr-xr-x | gen-prime.sh | 2 | ||||
| -rw-r--r-- | model.py | 5 |
2 files changed, 4 insertions, 3 deletions
diff --git a/gen-prime.sh b/gen-prime.sh index 28c9ddf..19ef340 100755 --- a/gen-prime.sh +++ b/gen-prime.sh @@ -12,7 +12,7 @@ function gen_prime () { echo "___________________________________________________" echo ">> generating $exp_name" echo "" - python generate.py \ + CUDA_LAUNCH_BLOCKING=1 python generate.py \ --exp $exp_name --dataset $exp_name \ --frame_sizes 8 2 \ --n_rnn 2 --dim 1024 --q_levels 256 \ @@ -378,7 +378,7 @@ class PrimedGenerator(Runner): ratio = i / (n-1) a = sub_sequence_a[:, j].float() * (1-ratio) b = sub_sequence_b[:, j].float() * ratio - tmp_sub_sequence[:, j] = (a + b).long() + tmp_sub_sequence[:, j] = clamp(a + b, 0, q_levels).long() return tmp_sub_sequence @@ -420,7 +420,8 @@ class PrimedGenerator(Runner): print("ran rnn") print("at bottom frame") - sub_sequence = get_sub_sequence(i, bottom_frame_size) + # sub_sequence = get_sub_sequence(i, bottom_frame_size) + sub_sequence = sequences[:, i-bottom_frame_size : i] prev_samples = torch.autograd.Variable( sub_sequence, |
