From dfe4dcb865fed3d6439aacd18bef4b1e877c6c31 Mon Sep 17 00:00:00 2001 From: Zhu Guodong Date: Tue, 6 Jun 2023 09:27:20 +0800 Subject: [PATCH] add tests for mindpsore offline mode Change-Id: If67b75c89d2fbd210c69bc346bd4ba4b0cf24a73 Signed-off-by: Zhu Guodong --- ai/mindspore/Test.json | 6 +- ai/mindspore/src/ohos_c_api_test_mslite.cpp | 328 +++++++++++++++++++- 2 files changed, 329 insertions(+), 5 deletions(-) diff --git a/ai/mindspore/Test.json b/ai/mindspore/Test.json index 1a6798396..54cfe8343 100644 --- a/ai/mindspore/Test.json +++ b/ai/mindspore/Test.json @@ -20,20 +20,24 @@ "push": [ "ActsMindSporeTest->/data/local/tmp/ActsMindSporeTest", "resource/ai/mindspore/aiy_vision_classifier_plants_V1_3/aiy_vision_classifier_plants_V1_3.ms -> /data/test", + "resource/ai/mindspore/aiy_vision_classifier_plants_V1_3/aiy_vision_classifier_plants_V1_3_offline_model.ms -> /data/test", "resource/ai/mindspore/aiy_vision_classifier_plants_V1_3/aiy_vision_classifier_plants_V1_3.input -> /data/test", "resource/ai/mindspore/aiy_vision_classifier_plants_V1_3/aiy_vision_classifier_plants_V1_30.output -> /data/test", "resource/ai/mindspore/ml_face_is_face/ml_face_isface.ms -> /data/test", "resource/ai/mindspore/ml_face_is_face/ml_face_isface_r13.ms -> /data/test", + "resource/ai/mindspore/ml_face_is_face/ml_face_isface_offline_model.ms -> /data/test", "resource/ai/mindspore/ml_face_is_face/ml_face_isface.input -> /data/test", "resource/ai/mindspore/ml_face_is_face/ml_face_isface_0.input -> /data/test", "resource/ai/mindspore/ml_face_is_face/ml_face_isface0.output -> /data/test", "resource/ai/mindspore/ml_Hand_deploy/ml_Hand_deploy.ms -> /data/test", "resource/ai/mindspore/ml_Hand_deploy/ml_Hand_deploy_0.input -> /data/test", "resource/ai/mindspore/ml_Hand_deploy/ml_Hand_deploy0.output -> /data/test", - "resource/ai/mindspore/ml_ocr_cn/ml_ocr_cn_0.input -> /data/test", "resource/ai/mindspore/ml_ocr_cn/ml_ocr_cn.ms -> /data/test", + "resource/ai/mindspore/ml_ocr_cn/ml_headpose_pb2tflite_offline_model.ms -> /data/test", + "resource/ai/mindspore/ml_ocr_cn/ml_ocr_cn_0.input -> /data/test", "resource/ai/mindspore/ml_ocr_cn/ml_ocr_cn0.output -> /data/test", "resource/ai/mindspore/ml_headpose_pb2tflite/ml_headpose_pb2tflite.ms -> /data/test", + "resource/ai/mindspore/ml_headpose_pb2tflite/ml_ocr_cn_offline_model.ms -> /data/test", "resource/ai/mindspore/ml_headpose_pb2tflite/ml_headpose_pb2tflite_0.input -> /data/test", "resource/ai/mindspore/ml_headpose_pb2tflite/ml_headpose_pb2tflite_1.input -> /data/test", "resource/ai/mindspore/ml_headpose_pb2tflite/ml_headpose_pb2tflite_2.input -> /data/test", diff --git a/ai/mindspore/src/ohos_c_api_test_mslite.cpp b/ai/mindspore/src/ohos_c_api_test_mslite.cpp index 02b29ec62..3080e7f11 100644 --- a/ai/mindspore/src/ohos_c_api_test_mslite.cpp +++ b/ai/mindspore/src/ohos_c_api_test_mslite.cpp @@ -60,6 +60,17 @@ void AddContextDeviceCPU(OH_AI_ContextHandle context) { OH_AI_ContextAddDeviceInfo(context, cpu_device_info); } +bool IsNNRTAvailable() { + size_t num = 0; + auto desc = OH_AI_GetAllNNRTDeviceDescs(&num); + if (desc == nullptr) { + return false; + } + + OH_AI_DestroyAllNNRTDeviceDescs(&desc); + return true; +} + // add nnrt device info void AddContextDeviceNNRT(OH_AI_ContextHandle context) { size_t num = 0; @@ -95,9 +106,11 @@ void AddContextDeviceNNRT(OH_AI_ContextHandle context) { void AddContextDeviceNNRTByType(OH_AI_ContextHandle context) { size_t num = 0; auto desc = OH_AI_GetAllNNRTDeviceDescs(&num); + // 返回值desc是NNRTDeviceDesc结构体数组首地址 if (desc == nullptr) { return; } + // 目前nnrt仅提供了rk3568的驱动，只有cpu一个设备，故不用判断 std::cout << "found " << num << " nnrt devices" << std::endl; auto id = OH_AI_GetDeviceIdFromNNRTDeviceDesc(desc); auto name = OH_AI_GetNameFromNNRTDeviceDesc(desc); @@ -120,9 +133,11 @@ void AddContextDeviceNNRTByType(OH_AI_ContextHandle context) { void AddContextDeviceNNRTByName(OH_AI_ContextHandle context) { size_t num = 0; auto desc = OH_AI_GetAllNNRTDeviceDescs(&num); + // 返回值desc是NNRTDeviceDesc结构体数组首地址 if (desc == nullptr) { return; } + // 目前nnrt仅提供了rk3568的驱动，只有cpu一个设备，故不用判断 std::cout << "found " << num << " nnrt devices" << std::endl; auto id = OH_AI_GetDeviceIdFromNNRTDeviceDesc(desc); auto name = OH_AI_GetNameFromNNRTDeviceDesc(desc); @@ -223,6 +238,7 @@ void ModelPredict(OH_AI_ModelHandle model, OH_AI_ContextHandle context, string m printf("==========Resizes return code:%d\n", resize_ret); ASSERT_EQ(resize_ret, OH_AI_STATUS_SUCCESS); } + FillInputsData(inputs, model_name, is_transpose); OH_AI_TensorHandleArray outputs; OH_AI_Status predict_ret = OH_AI_STATUS_SUCCESS; @@ -235,9 +251,13 @@ void ModelPredict(OH_AI_ModelHandle model, OH_AI_ContextHandle context, string m printf("==========Model Predict==========\n"); predict_ret = OH_AI_ModelPredict(model, inputs, &outputs, nullptr, nullptr); } + printf("==========Model Predict End==========\n"); ASSERT_EQ(predict_ret, OH_AI_STATUS_SUCCESS); + printf("=========CompareResult===========\n"); CompareResult(outputs, model_name); + printf("=========OH_AI_ModelDestroy===========\n"); OH_AI_ModelDestroy(&model); + printf("=========OH_AI_ModelDestroy End===========\n"); } // predict on cpu @@ -1510,6 +1530,86 @@ HWTEST(MSLiteTest, OHOS_Input_0001, Function | MediumTest | Level1) { ModelPredict(model, context, "ml_face_isface", {}, false, true, false); } +// 正常场景：多输入模型 +HWTEST(MSLiteTest, OHOS_Input_0002, Function | MediumTest | Level1) { + printf("==========Init Context==========\n"); + OH_AI_ContextHandle context = OH_AI_ContextCreate(); + ASSERT_NE(context, nullptr); + AddContextDeviceCPU(context); + printf("==========Create model==========\n"); + OH_AI_ModelHandle model = OH_AI_ModelCreate(); + ASSERT_NE(model, nullptr); + printf("==========Build model==========\n"); + OH_AI_Status ret = OH_AI_ModelBuildFromFile(model, "/data/test/ml_headpose_pb2tflite.ms", + OH_AI_MODELTYPE_MINDIR, context); + printf("==========build model return code:%d\n", ret); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + printf("==========GetInputs==========\n"); + OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); + ASSERT_NE(inputs.handle_list, nullptr); + FillInputsData(inputs, "ml_headpose_pb2tflite", false); + printf("==========Model Predict==========\n"); + OH_AI_TensorHandleArray outputs; + ret = OH_AI_ModelPredict(model, inputs, &outputs, nullptr, nullptr); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + CompareResult(outputs, "ml_headpose_pb2tflite", 0.02, 0.02); + OH_AI_ModelDestroy(&model); +} + +// 正常场景：输入为uint8模型 +HWTEST(MSLiteTest, OHOS_Input_0003, Function | MediumTest | Level1) { + printf("==========ReadFile==========\n"); + size_t size1; + size_t *ptr_size1 = &size1; + const char *imagePath = "/data/test/aiy_vision_classifier_plants_V1_3_0.input"; + char *imageBuf = ReadFile(imagePath, ptr_size1); + ASSERT_NE(imageBuf, nullptr); + printf("==========Init Context==========\n"); + OH_AI_ContextHandle context = OH_AI_ContextCreate(); + ASSERT_NE(context, nullptr); + AddContextDeviceCPU(context); + printf("==========Create model==========\n"); + OH_AI_ModelHandle model = OH_AI_ModelCreate(); + ASSERT_NE(model, nullptr); + printf("==========Build model==========\n"); + OH_AI_Status ret = OH_AI_ModelBuildFromFile(model, "/data/test/aiy_vision_classifier_plants_V1_3.ms", OH_AI_MODELTYPE_MINDIR, + context); + printf("==========build model return code:%d\n", ret); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + printf("==========GetInputs==========\n"); + OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); + ASSERT_NE(inputs.handle_list, nullptr); + for (size_t i = 0; i < inputs.handle_num; ++i) { + OH_AI_TensorHandle tensor = inputs.handle_list[i]; + int64_t element_num = OH_AI_TensorGetElementNum(tensor); + printf("Tensor name: %s, elements num: %" PRId64 ".\n", OH_AI_TensorGetName(tensor), element_num); + void *input_data = OH_AI_TensorGetMutableData(inputs.handle_list[i]); + ASSERT_NE(input_data, nullptr); + memcpy(input_data, imageBuf, size1); + } + printf("==========Model Predict==========\n"); + OH_AI_TensorHandleArray outputs; + ret = OH_AI_ModelPredict(model, inputs, &outputs, nullptr, nullptr); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + printf("==========GetOutput==========\n"); + for (size_t i = 0; i < outputs.handle_num; ++i) { + OH_AI_TensorHandle tensor = outputs.handle_list[i]; + int64_t element_num = OH_AI_TensorGetElementNum(tensor); + printf("Tensor name: %s, elements num: %" PRId64 ".\n", OH_AI_TensorGetName(tensor), element_num); + uint8_t *output_data = reinterpret_cast(OH_AI_TensorGetMutableData(tensor)); + printf("output data is:"); + for (int j = 0; j < element_num && j <= 20; ++j) { + printf("%d ", output_data[j]); + } + printf("\n"); + printf("==========compFp32WithTData==========\n"); + string expectedDataFile = "/data/test/aiy_vision_classifier_plants_V1_3" + std::to_string(i) + ".output"; + bool result = compUint8WithTData(output_data, expectedDataFile, 0.01, 0.01, false); + EXPECT_EQ(result, true); + } + delete[] imageBuf; + OH_AI_ModelDestroy(&model); +} // 正常场景：量化模型 HWTEST(MSLiteTest, OHOS_Input_0004, Function | MediumTest | Level1) { @@ -1530,6 +1630,26 @@ HWTEST(MSLiteTest, OHOS_Multiple_0001, Function | MediumTest | Level1) { } } +// 异常场景：Model创建一次，Build多次 +HWTEST(MSLiteTest, OHOS_Multiple_0002, Function | MediumTest | Level1) { + printf("==========Init Context==========\n"); + OH_AI_ContextHandle context = OH_AI_ContextCreate(); + ASSERT_NE(context, nullptr); + AddContextDeviceCPU(context); + printf("==========Create model==========\n"); + OH_AI_ModelHandle model = OH_AI_ModelCreate(); + ASSERT_NE(model, nullptr); + printf("==========Build model==========\n"); + int ret = OH_AI_ModelBuildFromFile(model, "/data/test/ml_face_isface.ms", OH_AI_MODELTYPE_MINDIR, context); + printf("==========build model return code:%d\n", ret); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + printf("==========Build model==========\n"); + int ret2 = OH_AI_ModelBuildFromFile(model, "/data/test/ml_face_isface.ms", OH_AI_MODELTYPE_MINDIR, context); + printf("==========build model return code:%d\n", ret2); + ASSERT_EQ(ret2, OH_AI_STATUS_SUCCESS); + OH_AI_ModelDestroy(&model); +} + // 正常场景：Model创建一次,Build一次，Predict多次 HWTEST(MSLiteTest, OHOS_Multiple_0003, Function | MediumTest | Level1) { printf("==========Init Context==========\n"); @@ -1613,7 +1733,207 @@ HWTEST(MSLiteTest, OHOS_Compatible_0001, Function | MediumTest | Level1) { OH_AI_ModelDestroy(&model); } -// delegate异构：选取第一个NNRT设备 + +// 正常场景：离线模型支持NNRT后端，单模型输入 +HWTEST(MSLiteTest, OHOS_OfflineModel_0001, Function | MediumTest | Level1) { + if (!IsNNRTAvailable()) { + printf("NNRt is not available, skip this test"); + return; + } + + printf("==========Init Context==========\n"); + OH_AI_ContextHandle context = OH_AI_ContextCreate(); + ASSERT_NE(context, nullptr); + AddContextDeviceNNRT(context); + printf("==========Create model==========\n"); + OH_AI_ModelHandle model = OH_AI_ModelCreate(); + ASSERT_NE(model, nullptr); + printf("==========Build model==========\n"); + OH_AI_Status ret = OH_AI_ModelBuildFromFile(model, "/data/test/ml_face_isface_offline_model.ms", + OH_AI_MODELTYPE_MINDIR, context); + printf("==========build model return code:%d\n", ret); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + printf("==========GetInputs==========\n"); + OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); + ASSERT_NE(inputs.handle_list, nullptr); + FillInputsData(inputs, "ml_face_isface", true); + printf("==========Model Predict==========\n"); + OH_AI_TensorHandleArray outputs; + ret = OH_AI_ModelPredict(model, inputs, &outputs, nullptr, nullptr); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + CompareResult(outputs, "ml_face_isface"); + OH_AI_ModelDestroy(&model); +} + +// 正常场景：离线模型支持NNRT后端,多输入模型 +HWTEST(MSLiteTest, OHOS_OfflineModel_0002, Function | MediumTest | Level1) { + if (!IsNNRTAvailable()) { + printf("NNRt is not available, skip this test"); + return; + } + + printf("==========Init Context==========\n"); + OH_AI_ContextHandle context = OH_AI_ContextCreate(); + ASSERT_NE(context, nullptr); + AddContextDeviceNNRT(context); + printf("==========Create model==========\n"); + OH_AI_ModelHandle model = OH_AI_ModelCreate(); + ASSERT_NE(model, nullptr); + printf("==========Build model==========\n"); + OH_AI_Status ret = OH_AI_ModelBuildFromFile(model, "/data/test/ml_headpose_pb2tflite_offline_model.ms", + OH_AI_MODELTYPE_MINDIR, context); + printf("==========build model return code:%d\n", ret); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + printf("==========GetInputs==========\n"); + OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); + ASSERT_NE(inputs.handle_list, nullptr); + FillInputsData(inputs, "ml_headpose_pb2tflite", false); + printf("==========Model Predict==========\n"); + OH_AI_TensorHandleArray outputs; + ret = OH_AI_ModelPredict(model, inputs, &outputs, nullptr, nullptr); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + CompareResult(outputs, "ml_headpose_pb2tflite", 0.02, 0.02); + OH_AI_ModelDestroy(&model); +} + + +// 正常场景：离线模型支持NNRT后端,Model创建一次,Build一次，Predict多次 +HWTEST(MSLiteTest, OHOS_OfflineModel_0004, Function | MediumTest | Level1) { + if (!IsNNRTAvailable()) { + printf("NNRt is not available, skip this test"); + return; + } + + printf("==========Init Context==========\n"); + OH_AI_ContextHandle context = OH_AI_ContextCreate(); + ASSERT_NE(context, nullptr); + AddContextDeviceNNRT(context); + printf("==========Create model==========\n"); + OH_AI_ModelHandle model = OH_AI_ModelCreate(); + ASSERT_NE(model, nullptr); + printf("==========Build model==========\n"); + OH_AI_Status ret = OH_AI_ModelBuildFromFile(model, "/data/test/ml_face_isface_offline_model.ms", OH_AI_MODELTYPE_MINDIR, context); + printf("==========build model return code:%d\n", ret); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + printf("==========GetInputs==========\n"); + OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); + ASSERT_NE(inputs.handle_list, nullptr); + FillInputsData(inputs, "ml_face_isface", true); + OH_AI_TensorHandleArray outputs; + for (size_t i = 0; i < 50; ++i) { + printf("==========Model Predict==========\n"); + OH_AI_Status predict_ret = OH_AI_ModelPredict(model, inputs, &outputs, nullptr, nullptr); + ASSERT_EQ(predict_ret, OH_AI_STATUS_SUCCESS); + } + CompareResult(outputs, "ml_face_isface"); + OH_AI_ModelDestroy(&model); +} + + +// 正常场景：离线模型支持NNRT后端,Model创建一次，Build多次 +HWTEST(MSLiteTest, OHOS_OfflineModel_0005, Function | MediumTest | Level1) { + if (!IsNNRTAvailable()) { + printf("NNRt is not available, skip this test"); + return; + } + + printf("==========Init Context==========\n"); + OH_AI_ContextHandle context = OH_AI_ContextCreate(); + ASSERT_NE(context, nullptr); + AddContextDeviceNNRT(context); + printf("==========Create model==========\n"); + OH_AI_ModelHandle model = OH_AI_ModelCreate(); + ASSERT_NE(model, nullptr); + printf("==========Build model==========\n"); + int ret = OH_AI_ModelBuildFromFile(model, "/data/test/ml_face_isface_offline_model.ms", OH_AI_MODELTYPE_MINDIR, context); + printf("==========build model return code:%d\n", ret); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + printf("==========Build model==========\n"); + int ret2 = OH_AI_ModelBuildFromFile(model, "/data/test/ml_face_isface_offline_model.ms", OH_AI_MODELTYPE_MINDIR, context); + printf("==========build model return code:%d\n", ret2); + ASSERT_EQ(ret2, OH_AI_STATUS_SUCCESS); + OH_AI_ModelDestroy(&model); +} + + +// 异常场景：离线模型支持NNRT后端,ModelPredict，input为空 +HWTEST(MSLiteTest, OHOS_OfflineModel_0006, Function | MediumTest | Level1) { + if (!IsNNRTAvailable()) { + printf("NNRt is not available, skip this test"); + return; + } + + printf("==========Init Context==========\n"); + OH_AI_ContextHandle context = OH_AI_ContextCreate(); + ASSERT_NE(context, nullptr); + AddContextDeviceNNRT(context); + printf("==========Create model==========\n"); + OH_AI_ModelHandle model = OH_AI_ModelCreate(); + ASSERT_NE(model, nullptr); + printf("==========Build model==========\n"); + OH_AI_Status ret = OH_AI_ModelBuildFromFile(model, "/data/test/ml_face_isface_offline_model.ms", OH_AI_MODELTYPE_MINDIR, context); + printf("==========build model return code:%d\n", ret); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + printf("==========Model Predict==========\n"); + OH_AI_TensorHandleArray inputs; + OH_AI_TensorHandleArray outputs; + ret = OH_AI_ModelPredict(model, inputs, &outputs, nullptr, nullptr); + printf("==========Model Predict return code:%d\n", ret); + ASSERT_EQ(ret, OH_AI_STATUS_LITE_ERROR); + OH_AI_ModelDestroy(&model); +} + + +// 异常场景：非离线模型支持NNRT后端,ms模型未转换为NNRT后端模型 +HWTEST(MSLiteTest, OHOS_OfflineModel_0007, Function | MediumTest | Level1) { + if (!IsNNRTAvailable()) { + printf("NNRt is not available, skip this test"); + return; + } + + printf("==========Init Context==========\n"); + OH_AI_ContextHandle context = OH_AI_ContextCreate(); + ASSERT_NE(context, nullptr); + AddContextDeviceNNRT(context); + AddContextDeviceCPU(context); // nnrt算子支持有限，加cpu设备走异构推理 + printf("==========Create model==========\n"); + OH_AI_ModelHandle model = OH_AI_ModelCreate(); + ASSERT_NE(model, nullptr); + ModelPredict(model, context, "ml_face_isface", {}, false, true, false); +} + +// 正常场景：覆盖模型ml_ocr_cn +HWTEST(MSLiteTest, OHOS_OfflineModel_0008, Function | MediumTest | Level1) { + if (!IsNNRTAvailable()) { + printf("NNRt is not available, skip this test"); + return; + } + + printf("==========Init Context==========\n"); + OH_AI_ContextHandle context = OH_AI_ContextCreate(); + ASSERT_NE(context, nullptr); + AddContextDeviceNNRT(context); + printf("==========Create model==========\n"); + OH_AI_ModelHandle model = OH_AI_ModelCreate(); + ASSERT_NE(model, nullptr); + printf("==========Build model==========\n"); + OH_AI_Status ret = OH_AI_ModelBuildFromFile(model, "/data/test/ml_ocr_cn_offline_model.ms", + OH_AI_MODELTYPE_MINDIR, context); + printf("==========build model return code:%d\n", ret); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + printf("==========GetInputs==========\n"); + OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); + ASSERT_NE(inputs.handle_list, nullptr); + FillInputsData(inputs, "ml_ocr_cn", false); + printf("==========Model Predict==========\n"); + OH_AI_TensorHandleArray outputs; + ret = OH_AI_ModelPredict(model, inputs, &outputs, nullptr, nullptr); + ASSERT_EQ(ret, OH_AI_STATUS_SUCCESS); + CompareResult(outputs, "ml_ocr_cn"); + OH_AI_ModelDestroy(&model); +} + +// 正常场景：delegate异构，使用低级接口创建nnrt device info，选取第一个NNRT设备 HWTEST(MSLiteTest, OHOS_NNRT_0001, Function | MediumTest | Level1) { printf("==========Init Context==========\n"); OH_AI_ContextHandle context = OH_AI_ContextCreate(); @@ -1640,7 +1960,7 @@ HWTEST(MSLiteTest, OHOS_NNRT_0001, Function | MediumTest | Level1) { OH_AI_ModelDestroy(&model); } -// delegate异构：根据类型确定NNRT设备 +// 正常场景：delegate异构，使用高级接口创建nnrt device info，根据类型确定NNRT设备 HWTEST(MSLiteTest, OHOS_NNRT_0002, Function | MediumTest | Level1) { printf("==========Init Context==========\n"); OH_AI_ContextHandle context = OH_AI_ContextCreate(); @@ -1667,7 +1987,7 @@ HWTEST(MSLiteTest, OHOS_NNRT_0002, Function | MediumTest | Level1) { OH_AI_ModelDestroy(&model); } -// delegate异构：根据名称确定NNRT设备 +// 正常场景：delegate异构，使用高级接口创建nnrt device info，根据名称确定NNRT设备 HWTEST(MSLiteTest, OHOS_NNRT_0003, Function | MediumTest | Level1) { printf("==========Init Context==========\n"); OH_AI_ContextHandle context = OH_AI_ContextCreate(); @@ -1694,7 +2014,7 @@ HWTEST(MSLiteTest, OHOS_NNRT_0003, Function | MediumTest | Level1) { OH_AI_ModelDestroy(&model); } -// delegate异构：多输入单输出 +// 正常场景：delegate异构，使用高低级接口创建nnrt device info，多输入单输出 HWTEST(MSLiteTest, OHOS_NNRT_0004, Function | MediumTest | Level1) { printf("==========Init Context==========\n"); OH_AI_ContextHandle context = OH_AI_ContextCreate(); -- GitLab