未验证 提交 1bdad804 编写于 作者: O openharmony_ci 提交者: Gitee

!7522 删除无用的测试用例_1018

Merge pull request !7522 from wangtongyu6/merge-master-to-monthly1018
......@@ -60,16 +60,6 @@ void AddContextDeviceCPU(OH_AI_ContextHandle context) {
OH_AI_ContextAddDeviceInfo(context, cpu_device_info);
}
// add gpu device info
void AddContextDeviceGPU(OH_AI_ContextHandle context) {
OH_AI_DeviceInfoHandle gpu_device_info = OH_AI_DeviceInfoCreate(OH_AI_DEVICETYPE_GPU);
ASSERT_NE(gpu_device_info, nullptr);
OH_AI_DeviceType device_type = OH_AI_DeviceInfoGetDeviceType(gpu_device_info);
printf("==========device_type:%d\n", device_type);
ASSERT_EQ(device_type, OH_AI_DEVICETYPE_GPU);
OH_AI_ContextAddDeviceInfo(context, gpu_device_info);
}
// fill data to inputs tensor
void FillInputsData(OH_AI_TensorHandleArray inputs, string model_name, bool is_transpose) {
for (size_t i = 0; i < inputs.handle_num; ++i) {
......@@ -1077,7 +1067,7 @@ HWTEST(MSLiteTest, OHOS_Tensor_Create_0001, Function | MediumTest | Level1) {
constexpr size_t create_shape_num = 4;
int64_t create_shape[create_shape_num] = {1, 48, 48, 3};
OH_AI_TensorHandle tensor = OH_AI_TensorCreate("data", OH_AI_DATATYPE_NUMBERTYPE_FLOAT32, create_shape,
create_shape_num, nullptr, static_cast<int>(1 * 48 * 48 * 3 * sizeof(float)));
create_shape_num, nullptr, 0);
ASSERT_NE(tensor, nullptr);
OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model);
inputs.handle_list[0] = tensor;
......@@ -1439,72 +1429,6 @@ 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);
ModelPredict(model, context, "ml_headpose_pb2tflite", {}, false, false, false);
}
// 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.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_s(input_data, size1, 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<uint8_t *>(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) {
......@@ -1525,26 +1449,6 @@ HWTEST(MSLiteTest, OHOS_Multiple_0001, Function | MediumTest | Level1) {
}
}
// 正常场景: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");
OH_AI_Status 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");
OH_AI_Status 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");
......
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