title: Tensorflow Slim: TypeError: Expected int32, got list containing Tensors of type '_Message' instead
body: <p>I am following <a href="https://github.com/tensorflow/models/blob/master/slim/slim_walkthough.ipynb" rel="noreferrer">this</a> tutorial for learning TensorFlow Slim but upon running the following code for Inception:</p>
  
  <pre><code>import numpy as np
  import os
  import tensorflow as tf
  import urllib2
  
  from datasets import imagenet
  from nets import inception
  from preprocessing import inception_preprocessing
  
  slim = tf.contrib.slim
  
  batch_size = 3
  image_size = inception.inception_v1.default_image_size
  checkpoints_dir = '/tmp/checkpoints/'
  with tf.Graph().as_default():
      url = 'https://upload.wikimedia.org/wikipedia/commons/7/70/EnglishCockerSpaniel_simon.jpg'
      image_string = urllib2.urlopen(url).read()
      image = tf.image.decode_jpeg(image_string, channels=3)
      processed_image = inception_preprocessing.preprocess_image(image, image_size, image_size, is_training=False)
      processed_images  = tf.expand_dims(processed_image, 0)
  
      # Create the model, use the default arg scope to configure the batch norm parameters.
      with slim.arg_scope(inception.inception_v1_arg_scope()):
          logits, _ = inception.inception_v1(processed_images, num_classes=1001, is_training=False)
      probabilities = tf.nn.softmax(logits)
  
      init_fn = slim.assign_from_checkpoint_fn(
          os.path.join(checkpoints_dir, 'inception_v1.ckpt'),
          slim.get_model_variables('InceptionV1'))
  
      with tf.Session() as sess:
          init_fn(sess)
          np_image, probabilities = sess.run([image, probabilities])
          probabilities = probabilities[0, 0:]
          sorted_inds = [i[0] for i in sorted(enumerate(-probabilities), key=lambda x:x[1])]
  
      plt.figure()
      plt.imshow(np_image.astype(np.uint8))
      plt.axis('off')
      plt.show()
  
      names = imagenet.create_readable_names_for_imagenet_labels()
      for i in range(5):
          index = sorted_inds[i]
          print('Probability %0.2f%% =&gt; [%s]' % (probabilities[index], names[index]))
  </code></pre>
  
  <p>I seem to be getting this set of errors:</p>
  
  <pre><code>Traceback (most recent call last):
    File "DA_test_pred.py", line 24, in &lt;module&gt;
      logits, _ = inception.inception_v1(processed_images, num_classes=1001, is_training=False)
    File "/home/deepankar1994/Desktop/MTP/TensorFlowEx/TFSlim/models/slim/nets/inception_v1.py", line 290, in inception_v1
      net, end_points = inception_v1_base(inputs, scope=scope)
    File "/home/deepankar1994/Desktop/MTP/TensorFlowEx/TFSlim/models/slim/nets/inception_v1.py", line 96, in inception_v1_base
      net = tf.concat(3, [branch_0, branch_1, branch_2, branch_3])
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1053, in concat
      dtype=dtypes.int32).get_shape(
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 651, in convert_to_tensor
      as_ref=False)
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 716, in internal_convert_to_tensor
      ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 176, in _constant_tensor_conversion_function
      return constant(v, dtype=dtype, name=name)
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 165, in constant
      tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape))
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 367, in make_tensor_proto
      _AssertCompatible(values, dtype)
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible
      (dtype.name, repr(mismatch), type(mismatch).__name__))
  TypeError: Expected int32, got list containing Tensors of type '_Message' instead.
  </code></pre>
  
  <p>This is strange because all of this code is from their official guide. I am new to TF and any help would be appreciated.</p>