votes up 1

Inputs to a layer should be tensors. Got: %s

Exception Class:

Raise code

  inputs = nest.flatten(inputs)
  for x in inputs:
    # Having a shape/dtype is the only commonality of the various tensor-like
    # objects that may be passed. The most common kind of invalid type we are
    # guarding for is a Layer instance (Functional API), which does not
    # have a `shape` attribute.
    if not hasattr(x, 'shape'):
      raise TypeError('Inputs to a layer should be tensors. Got: %s' % (x,))

  if len(inputs) != len(input_spec):
    raise ValueError('Layer ' + layer_name + ' expects ' +
                     str(len(input_spec)) + ' input(s), '
                     'but it received ' + str(len(inputs)) +
                     ' input tensors. Inputs received: ' + str(inputs))
  for input_index, (x, spec) in enumerate(zip(inputs, input_spec)):
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