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| author | Jules Laplace <julescarbon@gmail.com> | 2020-02-12 13:54:44 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-02-12 13:54:44 +0100 |
| commit | 4a4676ef9e9698bab8aa224f52b45382bc271ff0 (patch) | |
| tree | 9cfb9bb893b320b6c7d0497bcffe86108f08d9f9 /cli | |
| parent | b16b4f84d49fa1796d0d00bac282aa25eb389374 (diff) | |
deeper pass
Diffstat (limited to 'cli')
| -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 ee4f38a..e6c4c2a 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -265,7 +265,7 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op # Optimizer. # -------------------------- if params.decay_lr: - lrate = tf.train.exponential_decay(params.lr, inv_step, params.inv_it, 0.96) + lrate = tf.train.exponential_decay(params.lr, inv_step, params.inv_it, 0.9) # lrate = tf.train.exponential_decay(params.lr, inv_step, params.inv_it / params.decay_n, 0.1, staircase=True) else: lrate = tf.constant(params.lr) |