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| author | Jules Laplace <julescarbon@gmail.com> | 2020-02-11 16:49:42 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-02-11 16:49:42 +0100 |
| commit | 4711805f5c46ffe80c5227f7ef871214b993f1ec (patch) | |
| tree | 0aab18dee716458327bc4cb8a3d19aa650e38194 /cli | |
| parent | c5b066ebec6a070fd9ac110ec8f2c22028b2d98a (diff) | |
save progress
Diffstat (limited to 'cli')
| -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 9e694d8..5f44995 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -133,7 +133,8 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op layer_name = 'module_apply_{}/{}'.format(gen_signature, op_name) variable_name = op_name + "_label" 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.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) layer_label_variables.append(new_op_input) |