Export Tensorflow graphs from Python for use in C++
<p>Exactly how should python models be exported for use in c++?</p>

<p>I'm trying to do something similar to this tutorial:
<a href="https://www.tensorflow.org/versions/r0.8/tutorials/image_recognition/index.html" rel="noreferrer">https://www.tensorflow.org/versions/r0.8/tutorials/image_recognition/index.html</a></p>

<p>I'm trying to import my own TF model in the c++ API in stead of the inception one. I adjusted input size and the paths, but strange errors keep popping up. I spent all day reading stack overflow and other forums but to no avail.</p>

<p>I've tried two methods for exporting the graph.</p>

<p>Method 1: metagraph.</p>

<pre><code>...loading inputs, setting up the model, etc....

sess = tf.InteractiveSession()
sess.run(tf.initialize_all_variables())


for i in range(num_steps):  
  x_batch, y_batch = batch(50)  
  if i%10 == 0:
        train_accuracy = accuracy.eval(feed_dict={
        x:x_batch, y_: y_batch, keep_prob: 1.0})
        print("step %d, training accuracy %g"%(i, train_accuracy))
  train_step.run(feed_dict={x: x_batch, y_: y_batch, keep_prob: 0.5})

print("test accuracy %g"%accuracy.eval(feed_dict={
    x: features_test, y_: labels_test, keep_prob: 1.0}))

saver = tf.train.Saver(tf.all_variables())
checkpoint = 
   '/home/sander/tensorflow/tensorflow/examples/cat_face/data/model.ckpt'
    saver.save(sess, checkpoint)

   tf.train.export_meta_graph(filename=
   '/home/sander/tensorflow/tensorflow/examples/cat_face/data/cat_graph.pb',  
    meta_info_def=None,
    graph_def=sess.graph_def,
    saver_def=saver.restore(sess, checkpoint),
    collection_list=None, as_text=False)
</code></pre>

<p>Method 1 yields the following error when trying to run the program:</p>

<pre><code>[libprotobuf ERROR 
google/protobuf/src/google/protobuf/wire_format_lite.cc:532] String field 
'tensorflow.NodeDef.op' contains invalid UTF-8 data when parsing a protocol 
buffer. Use the 'bytes' type if you intend to send raw bytes. 
E tensorflow/examples/cat_face/main.cc:281] Not found: Failed to load 
compute graph at 'tensorflow/examples/cat_face/data/cat_graph.pb'
</code></pre>

<p>I also tried another method of exporting the graph:</p>

<p>Method 2: write_graph:</p>

<pre><code>tf.train.write_graph(sess.graph_def, 
'/home/sander/tensorflow/tensorflow/examples/cat_face/data/', 
'cat_graph.pb', as_text=False)
</code></pre>

<p>This version actually seems to load something, but I get an error about variables not being initialized:</p>

<pre><code>Running model failed: Failed precondition: Attempting to use uninitialized  
value weight1
[[Node: weight1/read = Identity[T=DT_FLOAT, _class=["loc:@weight1"], 
_device="/job:localhost/replica:0/task:0/cpu:0"](weight1)]]
</code></pre>