diff options
Diffstat (limited to 'tests/use_case/img_class/InferenceTestMobilenetV2.cc')
| -rw-r--r-- | tests/use_case/img_class/InferenceTestMobilenetV2.cc | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tests/use_case/img_class/InferenceTestMobilenetV2.cc b/tests/use_case/img_class/InferenceTestMobilenetV2.cc index bb89c99..07bd78f 100644 --- a/tests/use_case/img_class/InferenceTestMobilenetV2.cc +++ b/tests/use_case/img_class/InferenceTestMobilenetV2.cc @@ -29,9 +29,9 @@ bool RunInference(arm::app::Model& model, const int8_t imageData[]) TfLiteTensor* inputTensor = model.GetInputTensor(0); REQUIRE(inputTensor); - const size_t copySz = inputTensor->bytes < IFM_DATA_SIZE ? + const size_t copySz = inputTensor->bytes < IFM_0_DATA_SIZE ? inputTensor->bytes : - IFM_DATA_SIZE; + IFM_0_DATA_SIZE; memcpy(inputTensor->data.data, imageData, copySz); if(model.IsDataSigned()){ @@ -51,7 +51,7 @@ void TestInference(int imageIdx, arm::app::Model& model, T tolerance) { TfLiteTensor* outputTensor = model.GetOutputTensor(0); REQUIRE(outputTensor); - REQUIRE(outputTensor->bytes == OFM_DATA_SIZE); + REQUIRE(outputTensor->bytes == OFM_0_DATA_SIZE); auto tensorData = tflite::GetTensorData<T>(outputTensor); REQUIRE(tensorData); @@ -71,12 +71,12 @@ TEST_CASE("Running inference with TensorFlow Lite Micro and MobileNeV2 Uint8", " REQUIRE(model.Init()); REQUIRE(model.IsInited()); - for (uint32_t i = 0 ; i < NUMBER_OF_FM_FILES; ++i) { + for (uint32_t i = 0 ; i < NUMBER_OF_IFM_FILES; ++i) { TestInference<uint8_t>(i, model, 1); } } - for (uint32_t i = 0 ; i < NUMBER_OF_FM_FILES; ++i) { + for (uint32_t i = 0 ; i < NUMBER_OF_IFM_FILES; ++i) { DYNAMIC_SECTION("Executing inference with re-init") { arm::app::MobileNetModel model{}; |