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 a tuple of array dimensions.
docstr_tok: ["Returns","a","tuple","of","array","dimensions","."]
code: def shape(self):
      """Returns a tuple of array dimensions."""
      return self.data._shape_tuple()
  
imports: import numpy
  import six
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import dtypes
label_desc: Use image node_id 3 for calling the ndarray obj's underlying member method code with example usage: obj.shape() and returns: self