diff options
Diffstat (limited to 'tests/use_case/noise_reduction/InferenceTestRNNoise.cc')
| -rw-r--r-- | tests/use_case/noise_reduction/InferenceTestRNNoise.cc | 54 |
1 files changed, 25 insertions, 29 deletions
diff --git a/tests/use_case/noise_reduction/InferenceTestRNNoise.cc b/tests/use_case/noise_reduction/InferenceTestRNNoise.cc index 3cdaee1..17ce9ac 100644 --- a/tests/use_case/noise_reduction/InferenceTestRNNoise.cc +++ b/tests/use_case/noise_reduction/InferenceTestRNNoise.cc @@ -1,6 +1,6 @@ /* - * SPDX-FileCopyrightText: Copyright 2021 Arm Limited and/or its affiliates <open-source-office@arm.com> - * SPDX-License-Identifier: Apache-2.0 + * SPDX-FileCopyrightText: Copyright 2021 Arm Limited and/or its affiliates + * <open-source-office@arm.com> 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. @@ -14,10 +14,10 @@ * See the License for the specific language governing permissions and * limitations under the License. */ -#include "TensorFlowLiteMicro.hpp" +#include "BufAttributes.hpp" #include "RNNoiseModel.hpp" +#include "TensorFlowLiteMicro.hpp" #include "TestData_noise_reduction.hpp" -#include "BufAttributes.hpp" #include <catch.hpp> #include <random> @@ -50,15 +50,13 @@ namespace noise_reduction { { std::random_device rndDevice; std::mt19937 mersenneGen{rndDevice()}; - std::uniform_int_distribution<short> dist {-128, 127}; + std::uniform_int_distribution<short> dist{-128, 127}; - auto gen = [&dist, &mersenneGen](){ - return dist(mersenneGen); - }; + auto gen = [&dist, &mersenneGen]() { return dist(mersenneGen); }; std::vector<std::vector<int8_t>> randomInput{NUMBER_OF_IFM_FILES}; for (size_t i = 0; i < model.GetNumInputs(); ++i) { - TfLiteTensor *inputTensor = model.GetInputTensor(i); + TfLiteTensor* inputTensor = model.GetInputTensor(i); REQUIRE(inputTensor); randomInput[i].resize(inputTensor->bytes); std::generate(std::begin(randomInput[i]), std::end(randomInput[i]), gen); @@ -82,8 +80,10 @@ namespace noise_reduction { REQUIRE(RunInferenceRandom(model)); } - template<typename T> - void TestInference(const std::vector<std::vector<T>> input_goldenFV, const std::vector<std::vector<T>> output_goldenFV, arm::app::Model& model) + template <typename T> + void TestInference(const std::vector<std::vector<T>> input_goldenFV, + const std::vector<std::vector<T>> output_goldenFV, + arm::app::Model& model) { for (size_t i = 0; i < model.GetNumInputs(); ++i) { TfLiteTensor* inputTensor = model.GetInputTensor(i); @@ -93,41 +93,37 @@ namespace noise_reduction { REQUIRE(RunInference(model, input_goldenFV)); for (size_t i = 0; i < model.GetNumOutputs(); ++i) { - TfLiteTensor *outputTensor = model.GetOutputTensor(i); + TfLiteTensor* outputTensor = model.GetOutputTensor(i); REQUIRE(outputTensor); auto tensorData = tflite::GetTensorData<T>(outputTensor); REQUIRE(tensorData); for (size_t j = 0; j < outputTensor->bytes; j++) { - REQUIRE(static_cast<int>(tensorData[j]) == static_cast<int>((output_goldenFV[i][j]))); + REQUIRE(static_cast<int>(tensorData[j]) == + static_cast<int>((output_goldenFV[i][j]))); } } } TEST_CASE("Running inference with Tflu and RNNoise Int8", "[RNNoise]") { - std::vector<std::vector<int8_t>> goldenInputFV {NUMBER_OF_IFM_FILES}; - std::vector<std::vector<int8_t>> goldenOutputFV {NUMBER_OF_OFM_FILES}; + std::vector<std::vector<int8_t>> goldenInputFV{NUMBER_OF_IFM_FILES}; + std::vector<std::vector<int8_t>> goldenOutputFV{NUMBER_OF_OFM_FILES}; - std::array<size_t, NUMBER_OF_IFM_FILES> inputSizes = {IFM_0_DATA_SIZE, - IFM_1_DATA_SIZE, - IFM_2_DATA_SIZE, - IFM_3_DATA_SIZE}; + std::array<size_t, NUMBER_OF_IFM_FILES> inputSizes = { + IFM_0_DATA_SIZE, IFM_1_DATA_SIZE, IFM_2_DATA_SIZE, IFM_3_DATA_SIZE}; - std::array<size_t, NUMBER_OF_OFM_FILES> outputSizes = {OFM_0_DATA_SIZE, - OFM_1_DATA_SIZE, - OFM_2_DATA_SIZE, - OFM_3_DATA_SIZE, - OFM_4_DATA_SIZE}; + std::array<size_t, NUMBER_OF_OFM_FILES> outputSizes = { + OFM_0_DATA_SIZE, OFM_1_DATA_SIZE, OFM_2_DATA_SIZE, OFM_3_DATA_SIZE, OFM_4_DATA_SIZE}; - for (uint32_t i = 0 ; i < NUMBER_OF_IFM_FILES; ++i) { + for (uint32_t i = 0; i < NUMBER_OF_IFM_FILES; ++i) { goldenInputFV[i].resize(inputSizes[i]); - std::memcpy(goldenInputFV[i].data(), get_ifm_data_array(i), inputSizes[i]); + std::memcpy(goldenInputFV[i].data(), GetIfmDataArray(i), inputSizes[i]); } - for (uint32_t i = 0 ; i < NUMBER_OF_OFM_FILES; ++i) { + for (uint32_t i = 0; i < NUMBER_OF_OFM_FILES; ++i) { goldenOutputFV[i].resize(outputSizes[i]); - std::memcpy(goldenOutputFV[i].data(), get_ofm_data_array(i), outputSizes[i]); + std::memcpy(goldenOutputFV[i].data(), GetOfmDataArray(i), outputSizes[i]); } DYNAMIC_SECTION("Executing inference with re-init") @@ -146,4 +142,4 @@ namespace noise_reduction { } } /* namespace noise_reduction */ -} /* namespace test */ +} /* namespace test */ |