class_docstr: Equivalent of numpy.ndarray backed by TensorFlow tensors.
  
  This does not support all features of NumPy ndarrays e.g. strides and
  memory order since, unlike NumPy, the backing storage is not a raw memory
  buffer.
  
  TODO(srbs): Clearly specify which attributes and methods are not supported
  or if there are any differences in behavior.
docstr: Returns the number of elements in the array.
docstr_tok: ["Returns","the","number","of","elements","in","the","array","."]
code: def size(self):
      """Returns the number of elements in the array."""
      return np.prod(self.shape)
  
imports: import numpy
  import six
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import dtypes
label_desc: Use image node_id 6 for calling the ndarray obj's underlying member method code with example usage: obj.size() and returns: np