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| author | Jules Laplace <julescarbon@gmail.com> | 2020-02-11 17:26:18 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-02-11 17:26:18 +0100 |
| commit | 189d32668383a301473623c41f67e46c98ca502d (patch) | |
| tree | 18a10bf42d96d39045ee77af2609ac1edef58b5c | |
| parent | 4711805f5c46ffe80c5227f7ef871214b993f1ec (diff) | |
save progress
| -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 5f44995..9c56920 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -135,7 +135,8 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op raw_op = tf.get_default_graph().get_operation_by_name(layer_name) # new_op_input = tf.get_variable(name=variable_name, dtype=tf.float32, shape=[BATCH_SIZE,] + layer_shape) new_op_input = tf.Variable(tf.zeros([BATCH_SIZE,] + layer_shape, dtype=tf.float32), name=variable_name, trainable=True) - raw_op._update_input(op_input_index, new_op_input) + maybe_a_tensor = new_op_input + tf.constant(0.0) + raw_op._update_input(op_input_index, maybe_a_tensor) layer_label_variables.append(new_op_input) # Step counter. |
