title: Float 16 quantized Tflite model not working for custom models?
body: <p>I have a custom tensorflow model which I converted into tflite using the Float16 quantization as mentioned <a href="https://www.tensorflow.org/lite/performance/post_training_quantization#float16_quantization" rel="nofollow noreferrer">here</a>.<br />
  But the the input details of the tflite model using the tflite interpreter are</p>
  <pre><code>[{'name': 'input_1',
    'index': 0,
    'shape': array([  1, 256, 256,   3], dtype=int32),
    'shape_signature': array([ -1, 256, 256,   3], dtype=int32),
    'dtype': numpy.float32,
    'quantization': (0.0, 0),
    'quantization_parameters': {'scales': array([], dtype=float32),
     'zero_points': array([], dtype=int32),
     'quantized_dimension': 0},
    'sparsity_parameters': {}}]
  
  </code></pre>
  <p>while the output details are</p>
  <pre><code>[{'name': 'Identity',
    'index': 636,
    'shape': array([  7,   1, 256, 256,   1], dtype=int32),
    'shape_signature': array([  7,  -1, 256, 256,   1], dtype=int32),
    'dtype': numpy.float32,
    'quantization': (0.0, 0),
    'quantization_parameters': {'scales': array([], dtype=float32),
     'zero_points': array([], dtype=int32),
     'quantized_dimension': 0},
    'sparsity_parameters': {}}]
  </code></pre>
  <p>Is something wrong with the conversion ?</p>
  <p>I also received this warning while converting the tf model to tflite</p>
  <pre><code>WARNING:absl:Found untraced functions such as _defun_call, _defun_call, _defun_call, _defun_call, _defun_call while saving (showing 5 of 63). These functions will not be directly callable after loading.
  WARNING:absl:Found untraced functions such as _defun_call, _defun_call, _defun_call, _defun_call, _defun_call while saving (showing 5 of 63). These functions will not be directly callable after loading.
  </code></pre>
  <p><strong>P.S</strong> I also tried doing <a href="https://www.tensorflow.org/lite/performance/post_training_quantization#dynamic_range_quantization" rel="nofollow noreferrer">this</a> quantization, but received the same input/output details for that tflite model.</p>