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| author | Jules Laplace <julescarbon@gmail.com> | 2020-01-10 19:47:42 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-01-10 19:47:42 +0100 |
| commit | 14ec689ccbf85e8761a37e02b63b23fc18fad474 (patch) | |
| tree | faf942fc226abfb42fd6f3fb585b26cddfd47e17 | |
| parent | 842128b2486e69a125ae6e4ff6478d19d74dd479 (diff) | |
test label training as part of encoding process
| -rw-r--r-- | cli/app/search/search_dense.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/cli/app/search/search_dense.py b/cli/app/search/search_dense.py index 616ba6a..3719de6 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -280,7 +280,7 @@ def find_dense_embedding_for_images(params): params.inv_it / params.decay_n, 0.1, staircase=True) else: lrate = tf.constant(params.lr) - trained_params = [latent, encoding] + trained_params = [label, 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) |