class_docstr: Wrapper over ndarray that can contain tensors on multiple devices.
  
  This is returned by extensions.pmap, and contains the individual tensors on
  different devices.
code: def dtype(self):
      return x.tensors[0].dtype
  
imports: import numpy
  import six
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import dtypes
label_desc: Use image node_id 4 for calling the ShardedNdArray obj's underlying member method code with example usage: obj.dtype() and returns: x