class_docstr: A set of tests for the graph partitioning library.
class_docstr_tok: ["A","set","of","tests","for","the","graph","partitioning","library","."]
docstr: Validates a remote op spec.
docstr_tok: ["Validates","a","remote","op","spec","."]
code: def test_remote_op_specs(self):
      """Validates a remote op spec."""
      for execution_specs in self.graph_name_to_specs.values():
          for spec in execution_specs:
              if not spec.is_remote_op:
                  continue
  
              self.assertIsNone(spec.subgraph)
              self.assertLen(spec.output_names, 1)
  
file_path: tfx/tfx/experimental/distributed_inference/graphdef_experiments/subgraph_partitioning/graph_partition_test.py
imports: import os
  import tempfile
  import tensorflow
  from tfx.dsl.io import fileio
  from tfx.experimental.distributed_inference.graphdef_experiments.subgraph_partitioning import create_complex_graph
  from tfx.experimental.distributed_inference.graphdef_experiments.subgraph_partitioning import graph_partition
  from google.protobuf import text_format
label_desc: Use image node_id 3 for calling the PartitionTest obj's underlying member method code with example usage: obj.test_remote_op_specs() without return types