| 299 | }; |
| 300 | |
| 301 | TEST_F(RunClassificationTest, Basic) { |
| 302 | input_tensor_ = test::AsTensor<int>({99}); |
| 303 | session_.outputs = {test::AsTensor<int>({3}), test::AsTensor<int>({2})}; |
| 304 | const Status status = RunClassification(signature_, input_tensor_, &session_, |
| 305 | &classes_tensor_, &scores_tensor_); |
| 306 | |
| 307 | // Validate outputs. |
| 308 | TF_ASSERT_OK(status); |
| 309 | test::ExpectTensorEqual<int>(test::AsTensor<int>({3}), classes_tensor_); |
| 310 | test::ExpectTensorEqual<int>(test::AsTensor<int>({2}), scores_tensor_); |
| 311 | |
| 312 | // Validate inputs. |
| 313 | ASSERT_EQ(1, session_.inputs.size()); |
| 314 | EXPECT_EQ(kInputName, session_.inputs[0].first); |
| 315 | test::ExpectTensorEqual<int>(test::AsTensor<int>({99}), |
| 316 | session_.inputs[0].second); |
| 317 | |
| 318 | ASSERT_EQ(2, session_.output_tensor_names.size()); |
| 319 | EXPECT_EQ(kClassesName, session_.output_tensor_names[0]); |
| 320 | EXPECT_EQ(kScoresName, session_.output_tensor_names[1]); |
| 321 | } |
| 322 | |
| 323 | TEST_F(RunClassificationTest, ClassesOnly) { |
| 324 | input_tensor_ = test::AsTensor<int>({99}); |
nothing calls this directly
no test coverage detected