title: Tensorflow lite error! ValueError: Cannot set tensor: Got tensor of type 0 but expected type 1 for input 21
body: <p>I have a pb format weight file, then I convert it to tflite format for mobile device deploying. However, my model have two inputs, one for image (dims: 1*3*36*60), another for a vector (dims: 1*2). When I validate the tflite format model, my code shown below:</p>
  
  <pre><code>import numpy as np
  import tensorflow as tf
  from keras.preprocessing import image
  
  img = image.load_img('f01_70_-0.5890_-0.3927.png', target_size=(36, 60))
  head_angle = np.array([[-0.3619980211517256, -0.44335020008101705]])
  x = image.img_to_array(img)
  x = np.expand_dims(x, axis=0)
  
  # Load TFLite model and allocate tensors.
  interpreter = tf.contrib.lite.Interpreter(model_path="pupilModel.tflite")
  interpreter.allocate_tensors()
  
  # Get input and output tensors.
  input_details = interpreter.get_input_details()
  output_details = interpreter.get_output_details()
  
  #print(input_details)
  interpreter.set_tensor(input_details[0]['index'], x)
  interpreter.set_tensor(input_details[1]['index'], head_angle)
  interpreter.invoke()
  
  output_data = interpreter.get_tensor(output_details[0]['index'])
  print(output_data)
  </code></pre>
  
  <p>output logs shown below:</p>
  
  <pre><code>[{'name': 'inputs/input_img', 'index': 22, 'shape': array([ 1, 36, 60,  3], dtype=int32), 'dtype': &lt;class 'numpy.float32'&gt;, 'quantization': (0.0, 0)}, 
  {'name': 'inputs/head_angle', 'index': 21, 'shape': array([1, 2], dtype=int32), 'dtype': &lt;class 'numpy.float32'&gt;, 'quantization': (0.0, 0)}]
  
  File "/Users/jackie/Downloads/pupil_model/tf_to_lite.py", line 22, in &lt;module&gt;
  interpreter.set_tensor(input_details[1]['index'], head_angle)
  File "/Users/jackie/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/lite/python/interpreter.py", line 156, in set_tensor
      self._interpreter.SetTensor(tensor_index, value)
    File "/Users/jackie/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/lite/python/interpreter_wrapper/tensorflow_wrap_interpreter_wrapper.py", line 133, in SetTensor
      return _tensorflow_wrap_interpreter_wrapper.InterpreterWrapper_SetTensor(self, i, value)
  ValueError: Cannot set tensor: Got tensor of type 0 but expected type 1 for input 21
  </code></pre>
  
  <p>My question is that how to validate the tflite model with two outputs?</p>