title: How to fix 'AttributeError: 'list' object has no attribute 'shape'' error in python with Tensorflow / Keras when loading Model
body: <p>Im trying to save my Model in Keras and then load it but when it try to use the loaded Model it trows an Error</p>
  
  <p>Python Vesion: 3.6.8
  Tensorflow Version: 2.0.0-beta1
  Keras Version: 2.2.4-tf</p>
  
  <p>Here is my Code:</p>
  
  <pre><code>from __future__ import absolute_import, division, print_function, unicode_literals
  
  import tensorflow as tf
  from tensorflow import keras
  
  print("Tensorflow Version:")
  print(tf.version.VERSION)
  print("Keras Verstion:")
  print(tf.keras.__version__)
  
  minst = tf.keras.datasets.mnist # 28x28 0-9
  
  (x_train, y_train), (x_test, y_test) = minst.load_data()
  
  x_train = tf.keras.utils.normalize(x_train, axis=1)
  x__test = x_test;
  x_test = tf.keras.utils.normalize(x_test, axis=1)
  
  model = tf.keras.models.Sequential()
  model.add(tf.keras.layers.Flatten())
  model.add(tf.keras.layers.Dense(128, activation=tf.nn.relu))
  model.add(tf.keras.layers.Dense(128, activation=tf.nn.relu))
  model.add(tf.keras.layers.Dense(10, activation=tf.nn.softmax))
  
  model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])
  
  model.fit(x_train, y_train, epochs=1)
  
  val_loss, val_acc = model.evaluate(x_test, y_test)
  print(val_loss, val_acc)
  
  model.save('epic_num.h5')
  print("Saved")
  # Loading
  
  nmodel = keras.models.load_model("epic_num.h5")
  import numpy as np;
  
  
  # Test
  predics = nmodel.predict([x_test])
  print(predics)
  
  import matplotlib.pyplot as plt
  
  plt.imshow(x__test[11], cmap=plt.cm.binary)
  plt.show()
  
  print(np.argmax(predics[11]))
  </code></pre>
  
  <p>The Output:</p>
  
  <pre><code>C:\Users\minec\PycharmProjects\TFMLTest3\venv\Scripts\python.exe C:/Users/minec/PycharmProjects/TFMLTest3/main.py
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    _np_qint8 = np.dtype([("qint8", np.int8, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    _np_qint16 = np.dtype([("qint16", np.int16, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    _np_qint32 = np.dtype([("qint32", np.int32, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    np_resource = np.dtype([("resource", np.ubyte, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    _np_qint8 = np.dtype([("qint8", np.int8, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    _np_qint16 = np.dtype([("qint16", np.int16, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    _np_qint32 = np.dtype([("qint32", np.int32, 1)])
  C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
    np_resource = np.dtype([("resource", np.ubyte, 1)])
  Tensorflow Version:
  2.0.0-beta1
  Keras Verstion:
  2.2.4-tf
  2019-08-17 17:02:25.535385: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
  WARNING: Logging before flag parsing goes to stderr.
  W0817 17:02:25.636994 14512 deprecation.py:323] From C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\ops\math_grad.py:1250: add_dispatch_support.&lt;locals&gt;.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
  Instructions for updating:
  Use tf.where in 2.0, which has the same broadcast rule as np.where
  Train on 60000 samples
  
     32/60000 [..............................] - ETA: 2:39 - loss: 2.3092 - accuracy: 0.0938
   1120/60000 [..............................] - ETA: 7s - loss: 1.7317 - accuracy: 0.5580  
  ...
  accuracy: 0.9590
   9600/10000 [===========================&gt;..] - ETA: 0s - loss: 0.1232 - accuracy: 0.9624
  10000/10000 [==============================] - 0s 32us/sample - loss: 0.1271 - accuracy: 0.9610
  0.1271383908316493 0.961
  Saved
  W0817 17:02:29.220302 14512 hdf5_format.py:197] Sequential models without an `input_shape` passed to the first layer cannot reload their optimizer state. As a result, your model isstarting with a freshly initialized optimizer.
  Traceback (most recent call last):
    File "C:/Users/minec/PycharmProjects/TFMLTest3/main.py", line 41, in &lt;module&gt;
      predics = nmodel.predict([x_test])
    File "C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\keras\engine\training.py", line 821, in predict
      use_multiprocessing=use_multiprocessing)
    File "C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\keras\engine\training_arrays.py", line 705, in predict
      x, check_steps=True, steps_name='steps', steps=steps)
    File "C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\keras\engine\training.py", line 2335, in _standardize_user_data
      self._set_inputs(cast_inputs)
    File "C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\keras\engine\training.py", line 2553, in _set_inputs
      outputs = self(inputs, **kwargs)
    File "C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 662, in __call__
      outputs = call_fn(inputs, *args, **kwargs)
    File "C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\keras\engine\sequential.py", line 262, in call
      outputs = layer(inputs, **kwargs)
    File "C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 662, in __call__
      outputs = call_fn(inputs, *args, **kwargs)
    File "C:\Users\minec\PycharmProjects\TFMLTest3\venv\lib\site-packages\tensorflow\python\keras\layers\core.py", line 580, in call
      inputs, (tensor_shape.dimension_value(inputs.shape[0]) or
  AttributeError: 'list' object has no attribute 'shape'
  
  Process finished with exit code 1
  </code></pre>