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authorJules Laplace <julescarbon@gmail.com>2020-02-11 19:06:37 +0100
committerJules Laplace <julescarbon@gmail.com>2020-02-11 19:06:37 +0100
commit1fc1e2c4922e8d47ff0bcdce08e3e2d1850f3d44 (patch)
tree27e2828c6c88343de57414035a83643a33e58114
parent530bf33a017a59b5d7b987bd665a35abb18d403d (diff)
try g(z) encoding and label embedding
-rw-r--r--cli/app/search/json.py4
-rw-r--r--cli/app/search/search_dense.py2
2 files changed, 3 insertions, 3 deletions
diff --git a/cli/app/search/json.py b/cli/app/search/json.py
index 35a9daf..83893c8 100644
--- a/cli/app/search/json.py
+++ b/cli/app/search/json.py
@@ -67,8 +67,8 @@ def make_params_dense(tag, folder_id):
"clipping": False,
"path": os.path.join(app_cfg.DIR_INVERSES, tag),
"dataset": os.path.join(app_cfg.DIR_INVERSES, tag, "dataset.latent.hdf5"),
- # "inv_layer": "Generator_2/G_Z/Reshape:0",
- "inv_layer": "latent",
+ "inv_layer": "Generator_2/G_Z/Reshape:0",
+ # "inv_layer": "latent",
"decay_lr": True,
"inv_it": 10000,
"generator_path": "https://tfhub.dev/deepmind/biggan-512/2",
diff --git a/cli/app/search/search_dense.py b/cli/app/search/search_dense.py
index 458d5b8..4d59da9 100644
--- a/cli/app/search/search_dense.py
+++ b/cli/app/search/search_dense.py
@@ -227,7 +227,7 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op
img_rec_err = params.lambda_mse * img_mse_err + params.lambda_feat * img_feat_err
inv_loss = params.lambda_mse * mse_loss + params.lambda_feat * feat_loss
- inv_loss_quad = params.lambda_mse * mse_loss + params.lambda_feat * feat_loss_quad
+ inv_loss_quad = 5.0 * mse_loss + params.lambda_feat * feat_loss_quad
# --------------------------
# Optimizer.