title: Tensorflow Inception resnet v2 input tensor
body: <p>I'm trying to run this code</p>
  
  <pre><code>import os
  import tensorflow as tf
  from datasets import imagenet
  from nets import inception_resnet_v2
  from preprocessing import inception_preprocessing
  
  checkpoints_dir = 'model'
  
  slim = tf.contrib.slim
  
  batch_size = 3
  image_size = 299
  
  with tf.Graph().as_default():
  
  with slim.arg_scope(inception_resnet_v2.inception_resnet_v2_arg_scope()):
      logits, _ = inception_resnet_v2.inception_resnet_v2([1, 299, 299, 3], num_classes=1001, is_training=False)
      probabilities = tf.nn.softmax(logits)
  
      init_fn = slim.assign_from_checkpoint_fn(
      os.path.join(checkpoints_dir, 'inception_resnet_v2_2016_08_30.ckpt'),
      slim.get_model_variables('InceptionResnetV2'))
  
      with tf.Session() as sess:
          init_fn(sess)
  
          imgPath = '.../image_3.jpeg'
          testImage_string = tf.gfile.FastGFile(imgPath, 'rb').read()
          testImage = tf.image.decode_jpeg(testImage_string, channels=3)
  
          np_image, probabilities = sess.run([testImage, probabilities])
          probabilities = probabilities[0, 0:]
          sorted_inds = [i[0] for i in sorted(enumerate(-probabilities), key=lambda x:x[1])]
  
          names = imagenet.create_readable_names_for_imagenet_labels()
          for i in range(15):
              index = sorted_inds[i]
              print((probabilities[index], names[index]))
  </code></pre>
  
  <p>But TF displays an error: <code>ValueError: rank of shape must be at least 4 not: 1</code> </p>
  
  <p>I believe that problem is in input tensor shape <code>[1, 299, 299, 3]</code>. How to  input tensor for 3 channel JPEG image??? </p>
  
  <p>there is an also one similar question (<a href="https://stackoverflow.com/questions/39582703/using-pre-trained-inception-resnet-v2-with-tensorflow">Using pre-trained inception_resnet_v2 with Tensorflow</a>). I saw in code input_tensor - unfortunatelly there is explanation what is <code>input_tensor</code>. Maybe I'm asking something  self-evident but i stuck! Thanks a lot in advance for any advice!</p>