diff options
Diffstat (limited to 'cli/app')
| -rw-r--r-- | cli/app/search/search_class.py | 4 | ||||
| -rw-r--r-- | cli/app/search/search_dense.py | 4 |
2 files changed, 4 insertions, 4 deletions
diff --git a/cli/app/search/search_class.py b/cli/app/search/search_class.py index 3a56f68..a41a141 100644 --- a/cli/app/search/search_class.py +++ b/cli/app/search/search_class.py @@ -87,8 +87,8 @@ def find_nearest_vector(sess, generator, opt_fp_in, opt_dims, out_images, out_la z_initial = truncated_z_sample(batch_size, z_dim, truncation/2) y_initial = create_labels_uniform(batch_size, vocab_size) - input_z = tf.compat.v1.Variable(z_initial, dtype=np.float32, constraint=lambda t: tf.clip_by_value(t, -2, 2)) - input_y = tf.compat.v1.Variable(y_initial, dtype=np.float32, constraint=lambda t: tf.clip_by_value(t, 0, 1)) + input_z = tf.compat.v1.Variable(z_initial, dtype=np.float32, constraint=lambda t: tf.clip_by_value(t, -2.5, 2.5)) + input_y = tf.compat.v1.Variable(y_initial, dtype=np.float32, constraint=lambda t: tf.clip_by_value(t, -0.5, 1.5)) input_trunc = tf.compat.v1.constant(1.0) output = generator({ 'z': input_z, diff --git a/cli/app/search/search_dense.py b/cli/app/search/search_dense.py index 362e0ce..d5cbf64 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -246,8 +246,8 @@ def find_dense_embedding_for_images(params): # feat_loss += tf.reduce_mean(feat_square_diff) * 0.25 # img_feat_err += tf.reduce_mean(feat_square_diff, axis=1) * 0.25 - gen_feat = gen_feat_ex["InceptionV3/Conv2d_4a_3x3"] - target_feat = target_feat_ex["InceptionV3/Conv2d_4a_3x3"] + gen_feat = gen_feat_ex["InceptionV3/Mixed_6a"] + target_feat = target_feat_ex["InceptionV3/Mixed_6a"] feat_square_diff = tf.reshape(tf.square(gen_feat - target_feat), [BATCH_SIZE, -1]) feat_loss += tf.reduce_mean(feat_square_diff) * 0.25 img_feat_err += tf.reduce_mean(feat_square_diff, axis=1) * 0.25 |