From 14ec689ccbf85e8761a37e02b63b23fc18fad474 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Fri, 10 Jan 2020 19:47:42 +0100 Subject: test label training as part of encoding process --- cli/app/search/search_dense.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'cli') 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) -- cgit v1.2.3-70-g09d2