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.
code: def __float__(self):
      return float(self.data)
  
imports: import numpy
  import six
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import dtypes
label_desc: Use image node_id 13 for calling the ndarray obj's underlying member method code with example usage: obj.__float__() and returns: float