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| author | Jules Laplace <julescarbon@gmail.com> | 2020-01-23 12:40:47 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-01-23 12:40:47 +0100 |
| commit | b25a3e0141c943fd3645a494bf833fcc7ed5d400 (patch) | |
| tree | fcbd664ee160617cc80211f214e9dc82bbcad915 | |
| parent | 3901f5a1f2ecd9224d6fbdb0eca02d58c670896e (diff) | |
no staircasing
| -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 36fc230..149b8f6 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -299,7 +299,7 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op # -------------------------- if params.decay_lr: lrate = tf.train.exponential_decay(params.lr, inv_step, - params.inv_it / params.decay_n, 0.1, staircase=True) + params.inv_it / params.decay_n, 0.1) #, staircase=True) else: lrate = tf.constant(params.lr) # trained_params = [label, latent, encoding] |