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| author | Jules Laplace <julescarbon@gmail.com> | 2020-01-13 14:42:02 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-01-13 14:42:02 +0100 |
| commit | f91ed4899d5706c7771327269e69fa9ae4a10f9f (patch) | |
| tree | 80e8dfd4d39859687df072b75b02bec950d2e7d8 | |
| parent | 753dce5e153cb9d984e4bdbcc2128a0f9afeac00 (diff) | |
dont optimize class
| -rw-r--r-- | cli/app/search/search_dense.py | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/cli/app/search/search_dense.py b/cli/app/search/search_dense.py index 382ad79..7d3fd2a 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -291,7 +291,8 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op params.inv_it / params.decay_n, 0.1, staircase=True) else: lrate = tf.constant(params.lr) - trained_params = [label, latent, encoding] + # trained_params = [label, latent, encoding] + trained_params = [latent, encoding] optimizer = tf.train.AdamOptimizer(learning_rate=lrate, beta1=0.9, beta2=0.999) inv_train_op = optimizer.minimize(inv_loss, var_list=trained_params, global_step=inv_step) |