class_docstr: Mesh implementation for TPU using SIMD and MPI operations.
class_docstr_tok: ["Mesh","implementation","for","TPU","using","SIMD","and","MPI","operations","."]
docstr: Returns a LaidOutTensor containing the logical processor number.
  
  Returns:
    a LaidOutTensor where each slice is an integer scalar
code: def laid_out_pnum(self):
      """Returns a LaidOutTensor containing the logical processor number.
  
      Returns:
        a LaidOutTensor where each slice is an integer scalar
      """
      return self.LaidOutTensor([self.pnum_tensor])
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import os
  import gin
  from mesh_tensorflow import ops_with_redefined_builtins
  from mesh_tensorflow import tpu_variables
  from mesh_tensorflow import utils
  from six.moves import xrange
  import tensorflow.compat.v1
  from tensorflow.python.tpu.ops import tpu_ops
label_desc: Use image node_id 5 for calling the SimdMeshImpl obj's underlying member method code with example usage: obj.laid_out_pnum() and returns: self