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How to use 'list of tensors when single tensor expected' in Python

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tensorflow/tensorflow
296def __check_tensor_list(self, tensor_list):
297  expected = self._flat_tensor_specs
298  specs = [type_spec_from_value(t) for t in tensor_list]
299  if len(specs) != len(expected):
300    raise ValueError("Incompatible input: wrong number of tensors")
301  for i, (s1, s2) in enumerate(zip(specs, expected)):
302    if not s1.is_compatible_with(s2):
303      raise ValueError("Incompatible input: tensor %d (%s) is incompatible "
304                       "with %s" % (i, tensor_list[i], s2))

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