/* * SPDX-FileCopyrightText: Copyright 2021-2022 Arm Limited and/or its affiliates * SPDX-License-Identifier: Apache-2.0 * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "ImageUtils.hpp" #include "TestData_vww.hpp" #include "VisualWakeWordModel.hpp" #include "TensorFlowLiteMicro.hpp" #include bool RunInference(arm::app::Model& model, const int8_t* imageData) { TfLiteTensor* inputTensor = model.GetInputTensor(0); REQUIRE(inputTensor); const size_t copySz = inputTensor->bytes < IFM_0_DATA_SIZE ? inputTensor->bytes : IFM_0_DATA_SIZE; memcpy(inputTensor->data.data, imageData, copySz); if(model.IsDataSigned()){ arm::app::image::ConvertImgToInt8(inputTensor->data.data, copySz); } return model.RunInference(); } template void TestInference(int imageIdx,arm::app::Model& model) { auto image = test::get_ifm_data_array(imageIdx); auto goldenFV = test::get_ofm_data_array(imageIdx); REQUIRE(RunInference(model, image)); TfLiteTensor* outputTensor = model.GetOutputTensor(0); REQUIRE(outputTensor); REQUIRE(outputTensor->bytes == OFM_0_DATA_SIZE); auto tensorData = tflite::GetTensorData(outputTensor); REQUIRE(tensorData); for (size_t i = 0; i < outputTensor->bytes; i++) { auto testVal = static_cast(tensorData[i]); auto goldenVal = static_cast(goldenFV[i]); CHECK(testVal == goldenVal); } }