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| author | Jules Laplace <julescarbon@gmail.com> | 2020-01-08 20:17:30 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-01-08 20:17:30 +0100 |
| commit | b9f515173f480a0468fc54d05bf134ebb15b0328 (patch) | |
| tree | d473b3946ba20f95b31305e4c9c04ca17dba92df /cli/app/search/search_class.py | |
| parent | 76d4a9ed2e209cea7d3524e1b537faaabc4ca1c6 (diff) | |
moving in the live stuff
Diffstat (limited to 'cli/app/search/search_class.py')
| -rw-r--r-- | cli/app/search/search_class.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/cli/app/search/search_class.py b/cli/app/search/search_class.py index 8825ca5..875bc75 100644 --- a/cli/app/search/search_class.py +++ b/cli/app/search/search_class.py @@ -191,9 +191,9 @@ def find_nearest_vector(sess, generator, opt_fp_in, opt_dims, out_images, out_la 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 }) + sess.run(clip_latent, { clipped_alpha: (i / opt_steps) ** 2 }) if opt_label_clipping and (i % opt_clip_interval) == 0: - sess.run(clip_labels, { normalized_alpha: i / opt_steps }) + 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) guess_im = imgrid(imconvert_uint8(phi_guess), cols=1) |