OSError: SavedModel file does not exist at: /content\model\2016/{saved_model.pbtxt|saved_model.pb}

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I ran the code 

export_path=os.getcwd()+'\\model\\'+'2016'

with tf.Session(graph=tf.Graph()) as sess:
    tf.saved_model.loader.load(sess, ["myTag"], export_path)          
    graph = tf.get_default_graph()
#    print(graph.get_operations())
    input = graph.get_tensor_by_name('input:0')
    output = graph.get_tensor_by_name('output:0')    
#     print(sess.run(output,
#                feed_dict={input: [test_data[1]]}))
    tf.train.write_graph(freeze_session(sess), export_path, "my_model.pb", as_text=False)

and incurred the following error 

OSError                                   Traceback (most recent call last)
<ipython-input-44-b154e11ca364> in <module>()
      3 
      4 with tf.Session(graph=tf.Graph()) as sess:
----> 5     tf.saved_model.loader.load(sess, ["myTag"], export_path)          
      6     graph = tf.get_default_graph()
      7 #    print(graph.get_operations())

3 frames
/usr/local/lib/python3.6/dist-packages/tensorflow/python/saved_model/loader_impl.py in parse_saved_model(export_dir)
     81                   (export_dir,
     82                    constants.SAVED_MODEL_FILENAME_PBTXT,
---> 83                    constants.SAVED_MODEL_FILENAME_PB))
     84 
     85 

OSError: SavedModel file does not exist at: /content\model\2016/{saved_model.pbtxt|saved_model.pb}

It was previously ran in Windows system and now IOS. I am not sure if it was because of this. Any help is appreciated. Thank you.

google-colaboratory tensorflow python
1 Answers

You should avoid using a fixed character as directory separator (like \ in your example), as that character differs between operating systems (see os.sep). You might want to use os.path.join or Path to build your path, thereby ensuring suitable paths for the executing operating system are created, e.g.:

export_path = os.path.join(os.getcwd(), 'model', '2016')
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