I'm very new in tensorflow and would like to use pre-trained models (Python) in C++ environment for inference. As I understood, for this I need to freeze the trained model using "freeze_graph" tool.
Here is a code snippet how it looks for the very simple MNIST model:
with tf.Session(config=config) as s: s.run(tf.global_variables_initializer()) for i in range(n): batch = mnist.train.next_batch(50) train_step.run(feed_dict={x: batch[0], y_: batch[1], keep_prob: 0.5}) print('test accuracy %g' % accuracy.eval(feed_dict={x: mnist.test.images, y_: mnist.test.labels, keep_prob: 1.0})) saver.save(s, 'models/saved_checkpoint') with tf.Session(config=config) as s: # save the graph definition tf.train.write_graph(s.graph_def, 'models', "graph_def.pbtxt") freeze_graph.freeze_graph(input_graph = "models/graph_def.pbtxt", input_saver = "", input_binary = False, input_checkpoint = "models/saved_checkpoint", output_node_names = "output_node", restore_op_name = "save/restore_all", filename_tensor_name = "save/Const:0", output_graph = "frozen_graph.pb", clear_devices = True, initializer_nodes = "")
Doing it this way I'm getting the following error:
File "mnist.py", line 180, in main output_graph = "frozen_graph.pb", clear_devices = True, initializer_nodes = "")
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/tools/freeze_graph.py", line 184, in freeze_graph variable_names_blacklist)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/tools/freeze_graph.py", line 87, in freeze_graph_with_def_protos _ = importer.import_graph_def(input_graph_def, name="")
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/importer.py", line 313, in import_graph_def op_def=op_def) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2633, in create_op self._add_op(ret)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2312, in _add_op "is already used" % op.name) ValueError: cannot add op with name conv1/Variable/Adam as that name is already used
Does anybody have any idea what might be wrong here? I'm using tensorflow 1.3 and python 2.7. Unfortunately, I cannot find much information about the graph freeze and available examples don't work for me...
Thanks in advance for any advice!
Best, Alexey