tensorflow/core/kernels/data/parallel_batch_dataset_op_test.cc
// Test Case 4: test ParallelBatchDataset with `drop_remainder` = true and a
// batch size that can not evenly split the input dataset.
Test Case 4: test ParallelBatchDataset with `drop_remainder` = true and a
batch size that can not evenly split the input dataset.
Test Case 4 : test ParallelBatchDataset with ` drop_remainder ` = true and a batch size that can not evenly split the input dataset .
ParallelBatchDatasetParams ParallelBatchDatasetParams4() {
  return ParallelBatchDatasetParams(
      RangeDatasetParams(0, 10, 1),
      3,
      1,
      true,
      {DT_INT64},
      {PartialTensorShape({3})},
      false,
      DeterminismPolicy::kDeterministic,
      kNodeName);
}
ParallelBatchDatasetParams ParallelBatchDatasetParams4 ( ) { return ParallelBatchDatasetParams ( RangeDatasetParams ( 0 , 10 , 1 ) , 3 , 1 , true , { DT_INT64 } , { PartialTensorShape ( { 3 } ) } , false , DeterminismPolicy :: kDeterministic , kNodeName ) ; }
Test Case 4: test ParallelBatchDataset with `drop_remainder` = true and a
batch size that can not evenly split the input dataset.
Test Case 4 : test ParallelBatchDataset with ` drop_remainder ` = true and a batch size that can not evenly split the input dataset .
/*batch_size=*/ /*num_parallel_calls=*/ /*drop_remainder=*/ /*output_dtypes=*/ /*output_shapes=*/ /*parallel_copy=*/ /*deterministic=*/ /*node_name=*/