diff options
Diffstat (limited to 'cli/app/search/search_dense.py')
| -rw-r--r-- | cli/app/search/search_dense.py | 5 |
1 files changed, 1 insertions, 4 deletions
diff --git a/cli/app/search/search_dense.py b/cli/app/search/search_dense.py index 53c548b..7b83952 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -419,7 +419,6 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op out_fns[:] = sample_fns[:NUM_IMGS_TO_PROCESS] # Gradient descent w.r.t. generator's inputs. - it = 0 out_pos = 0 start_time = time.time() @@ -450,7 +449,7 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op # Main optimization loop. print("Beginning dense iteration...") - for _ in range(params.inv_it): + for it in range(params.inv_it): if it < params.inv_it * 0.7: n = 0.0 @@ -498,8 +497,6 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op inv_batch = vs.grid_transform(inv_batch) vs.save_image('{}/progress_{}_{:04d}.png'.format(SAMPLES_DIR, opt_tag, int(it / 500)), inv_batch) - it += 1 - # Save images that are ready. label_trained, latent_trained = sess.run([label, latent]) if params.inv_layer != 'latent': |