title: tensorflow.python.framework.errors_impl.NotFoundError while creating a custom inception
body: <p>Im using the following code to create a custom inception using tensorflow.</p>
  
  <pre><code>import tensorflow as tf
  import sys
  
  interesting_class = sys.argv[1:]
  print("Interesting class: ", interesting_class)
  
  # Read in the image_data
  
  from os import listdir
  from shutil import copyfile
  from os.path import isfile, join
  varPath = 'toScan/'
  destDir = "scanned/"
  imgFiles = [f for f in listdir(varPath) if isfile(join(varPath, f))]
  
  
  # Loads label file, strips off carriage return
  label_lines = [line.rstrip() for line 
                     in tf.gfile.GFile("/tf_files/retrained_labels.txt")]
  
  # Unpersists graph from file
  with tf.gfile.FastGFile("/tf_files/retrained_graph.pb", 'rb') as f:
      graph_def = tf.GraphDef()
      graph_def.ParseFromString(f.read())
      _ = tf.import_graph_def(graph_def, name='')
  
  with tf.Session() as sess:
      # Feed the image_data as input to the graph and get first prediction
      softmax_tensor = sess.graph.get_tensor_by_name('final_result:0') 
      file_count = len(imgFiles)
      i = 0
  
      for imageFile in imgFiles:
          print("File ", i, " of ",  file_count)
          i = i+1
          image_data =  tf.gfile.FastGFile(varPath+"/"+imageFile, 'rb').read()       
  
          print (varPath+"/"+imageFile)
          predictions = sess.run(softmax_tensor, \
                   {'DecodeJpeg/contents:0': image_data})
  
          # Sort to show labels of first prediction in order of confidence
          top_k = predictions[0].argsort()[-len(predictions[0]):][::-1]
          firstElt = top_k[0];
  
          newFileName = label_lines[firstElt] +"--"+ str(predictions[0][firstElt])[2:7]+".jpg"
          print(interesting_class, label_lines[firstElt])
          if interesting_class == label_lines[firstElt]:
              print(newFileName)
              copyfile(varPath+"/"+imageFile, destDir+"/"+newFileName)
  
          for node_id in top_k:
              human_string = label_lines[node_id]
              score = predictions[0][node_id]
              print (node_id)
              print('%s (score = %.5f)' % (human_string, score))
  </code></pre>
  
  <p>Im getting the following error while executing this </p>
  
  <blockquote>
    <p>('Interesting class: ', []) Traceback (most recent call last):   File
    "/Users/Downloads/imagenet_train-master/label_dir.py", line 22, in
    
        in tf.gfile.GFile("/tf_files/retrained_labels.txt")]   File "/Users/tensorflow/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py",
    line 156, in next
        retval = self.readline()   File "/Users/tensorflow/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py",
    line 123, in readline
        self._preread_check()   File "/Users/tensorflow/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py",
    line 73, in _preread_check
        compat.as_bytes(self.<strong>name), 1024 * 512, status)   File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/contextlib.py",
    line 24, in __exit</strong>
        self.gen.next()   File "/Users/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/errors_impl.py",
    line 466, in raise_exception_on_not_ok_status
        pywrap_tensorflow.TF_GetCode(status)) tensorflow.python.framework.errors_impl.NotFoundError:
    /tf_files/retrained_labels.txt</p>
  </blockquote>
  
  <p>Why am I getting this error?</p>
  
  <p>Following is my folder structure:</p>
  
  <pre><code>tensorflow_try
  |- new_pics
  |  |- class1
  |  |- class2
  |  |- ...
  |- toScan
  |- scanned
  </code></pre>