diff options
| author | Jules Laplace <julescarbon@gmail.com> | 2019-12-11 02:12:33 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2019-12-11 02:12:33 +0100 |
| commit | f01105b36e5a8acf75d6a00f66ad9287d79f7575 (patch) | |
| tree | f6a69d758bc2690b73a7c2a30cb68140c73ae336 | |
| parent | 12e015807c1db187895aeca495b77b367c543211 (diff) | |
test small sample size
| -rw-r--r-- | cli/app/search/json.py | 8 | ||||
| -rw-r--r-- | inversion/image_inversion.py | 2 |
2 files changed, 5 insertions, 5 deletions
diff --git a/cli/app/search/json.py b/cli/app/search/json.py index 0f6c71c..1e470bd 100644 --- a/cli/app/search/json.py +++ b/cli/app/search/json.py @@ -32,14 +32,14 @@ def save_params_latent(fp_out_dir, tag): "lambda_feat": 1.0, "init_gen_dist": False, "log_activation_layer": "Generator_2/GBlock/Relu:0", - "batch_size": 4, + "batch_size": 1, "fixed_z": False, "feature_extractor_output": "InceptionV3/Mixed_7a", "init_lo": -0.001, "lambda_mse": 1.0, "lambda_reg": 0.1, "dist_loss": False, - "sample_size": 4, + "sample_size": 1, "dataset": "inverses/{}/dataset.encodings.hdf5".format(tag), "save_progress": True, } @@ -77,14 +77,14 @@ def save_params_dense(fp_out_dir, tag): "lambda_feat": 1.0, "init_gen_dist": False, "log_activation_layer": "Generator_2/GBlock/Relu:0", - "batch_size": 4, + "batch_size": 1, "fixed_z": True, "feature_extractor_output": "InceptionV3/Mixed_7a", "init_lo": -0.001, "lambda_mse": 1.0, "lambda_reg": 0.1, "dist_loss": True, - "sample_size": 4, + "sample_size": 1, "dataset": "inverses/{}/dataset.encodings.dense.hdf5".format(tag), "save_progress": True, } diff --git a/inversion/image_inversion.py b/inversion/image_inversion.py index 04c033b..76638f9 100644 --- a/inversion/image_inversion.py +++ b/inversion/image_inversion.py @@ -355,7 +355,7 @@ for image_batch, label_batch in image_gen: # Save target. sess.run(target.assign(image_batch)) if COND_GAN: - sess.run(label.assign(one_hot(label_batch))) + sess.run(label.assign(label_batch)) # Initialize encodings to random values. if params.pre_trained_latent: |