class_docstr: Handles input pipeline for PlacementMeshImpl.
class_docstr_tok: ["Handles","input","pipeline","for","PlacementMeshImpl","."]
code: def gpu_placement(self, model_fn):
      image, label = self._ds_iterator.get_next()
      image_laid_out = self._placement_mesh_impl.make_slices(
          image, self._mtf_input_shapes[0]
      )
      label_laid_out = self._placement_mesh_impl.make_slices(
          label, self._mtf_input_shapes[1]
      )
      computation = model_fn(image_laid_out, label_laid_out)
  
      return computation
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import threading
  import time
  import numpy
  from six.moves import range
  from six.moves import zip
  import tensorflow.compat.v1
  from tensorflow.python.framework import ops
  from tensorflow.python.tpu import tpu_feed
label_desc: Use image node_id 3 for calling the PlacementMeshImplInputReader obj's underlying member method code with example usage: obj.gpu_placement(model_fn) and returns: computation