Function TEST_F

tensorflow/core/kernels/data/shard_dataset_op_test.cc:317–351

}

TEST_F(ShardDatasetOpTest, DatasetNodeName) {
  int thread_num = 2, cpu_num = 2;
  TestCase test_case = TestCase1();
  TF_ASSERT_OK(InitThreadPool(thread_num));
  TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num));

  std::unique_ptr<OpKernel> shard_dataset_kernel;
  TF_ASSERT_OK(CreateShardDatasetOpKernel(
      test_case.require_non_empty, test_case.expected_output_dtypes,
      test_case.expected_output_shapes, &shard_dataset_kernel));

  DatasetBase* range_dataset;
  TF_ASSERT_OK(CreateRangeDataset<int64>(
      test_case.range_dataset_param.start, test_case.range_dataset_param.end,
      test_case.range_dataset_param.step, "range", &range_dataset));
  Tensor range_dataset_tensor(DT_VARIANT, TensorShape({}));
  TF_ASSERT_OK(
      StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor));

  Tensor num_shards = test_case.num_shards;
  Tensor index = test_case.index;
  gtl::InlinedVector<TensorValue, 4> inputs({TensorValue(&range_dataset_tensor),
                                             TensorValue(&num_shards),
                                             TensorValue(&index)});
  std::unique_ptr<OpKernelContext> shard_dataset_context;
  TF_ASSERT_OK(CreateShardDatasetContext(shard_dataset_kernel.get(), &inputs,
                                         &shard_dataset_context));

  DatasetBase* shard_dataset;
  TF_ASSERT_OK(CreateDataset(shard_dataset_kernel.get(),
                             shard_dataset_context.get(), &shard_dataset));
  core::ScopedUnref scoped_unref_batch_dataset(shard_dataset);

  EXPECT_EQ(shard_dataset->node_name(), kNodeName);
}

TEST_F(ShardDatasetOpTest, DatasetTypeString) {
  int thread_num = 2, cpu_num = 2;