tensorflow/core/kernels/data/parallel_batch_dataset_op_test.cc
ParallelBatchDatasetParams ParallelBatchDatasetParams10() {
  return ParallelBatchDatasetParams(
      RangeDatasetParams(0, 12, 1),
      /*batch_size=*/4,
      /*num_parallel_calls=*/1,
      /*drop_remainder=*/false,
      /*output_dtypes=*/{DT_INT64},
      /*output_shapes=*/{PartialTensorShape({4})},
      /*parallel_copy=*/true,
      /*deterministic=*/DeterminismPolicy::kDeterministic,
      /*node_name=*/kNodeName);
}
// Test Case 10: test ParallelBatchDataset with `parallel_copy` = true and a
// batch size that can evenly split the input dataset.
Test Case 10: test ParallelBatchDataset with `parallel_copy` = true and a
batch size that can evenly split the input dataset.
Test Case 10 : test ParallelBatchDataset with ` parallel_copy ` = true and a batch size that can evenly split the input dataset .
ParallelBatchDatasetParams ParallelBatchDatasetParams10() {
  return ParallelBatchDatasetParams(
      RangeDatasetParams(0, 12, 1),
      4,
      1,
      false,
      {DT_INT64},
      {PartialTensorShape({4})},
      true,
      DeterminismPolicy::kDeterministic,
      kNodeName);
}
ParallelBatchDatasetParams ParallelBatchDatasetParams10 ( ) { return ParallelBatchDatasetParams ( RangeDatasetParams ( 0 , 12 , 1 ) , 4 , 1 , false , { DT_INT64 } , { PartialTensorShape ( { 4 } ) } , true , DeterminismPolicy :: kDeterministic , kNodeName ) ; }
Test Case 10: test ParallelBatchDataset with `parallel_copy` = true and a
batch size that can evenly split the input dataset.
Test Case 10 : test ParallelBatchDataset with ` parallel_copy ` = true and a batch size that can evenly split the input dataset .
/*batch_size=*/ /*num_parallel_calls=*/ /*drop_remainder=*/ /*output_dtypes=*/ /*output_shapes=*/ /*parallel_copy=*/ /*deterministic=*/ /*node_name=*/