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| author | Jules Laplace <julescarbon@gmail.com> | 2020-01-21 01:12:53 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-01-21 01:12:53 +0100 |
| commit | 7b742326d25a21c9c6f97766e0501ec0f5362099 (patch) | |
| tree | 6b2e34c764f7a5ad5e81ca5b02b65391afce1d53 /cli/app | |
| parent | 47e4c11b8c79ba737cc538af47b9a7caebaac18b (diff) | |
more aggressive stochastic clipping
Diffstat (limited to 'cli/app')
| -rw-r--r-- | cli/app/search/search_class.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/cli/app/search/search_class.py b/cli/app/search/search_class.py index 0c3fd29..921e586 100644 --- a/cli/app/search/search_class.py +++ b/cli/app/search/search_class.py @@ -193,9 +193,9 @@ def find_nearest_vector(sess, generator, opt_fp_in, opt_dims, out_images, out_la if i % 20 == 0: print('iter: {}, loss: {}'.format(i, curr_loss)) if i > 0: - if opt_stochastic_clipping and (i % opt_clip_interval) == 0 and i < opt_steps * 0.45: - sess.run(clip_latent, { clipped_alpha: (i / opt_steps) ** 2 }) - if opt_label_clipping and (i % opt_clip_interval) == 0 and i < opt_steps * 0.75: + if opt_stochastic_clipping and (i % opt_clip_interval) == 0: # and i < opt_steps * 0.45: + sess.run(clip_latent, { clipped_alpha: (i / opt_steps) * 2 }) + if opt_label_clipping and (i % opt_clip_interval) == 0: # and i < opt_steps * 0.75: sess.run(clip_labels, { normalized_alpha: (i / opt_steps) ** 2 }) if opt_video and opt_snapshot_interval != 0 and (i % opt_snapshot_interval) == 0: phi_guess = sess.run(output) |