From 2ea46232a15aaf7600f1b92314612f4aa2fc6cd2 Mon Sep 17 00:00:00 2001 From: Kshitij Sisodia Date: Mon, 19 Dec 2022 16:37:33 +0000 Subject: MLECO-3611: Formatting fixes for generated files. Template files updated for generated files to adhere to coding guidelines and clang format configuration. There will still be unavoidable violations, but most of the others have been fixed. Change-Id: Ia03db40f8c62a369f2b07fe02eea65e41993a523 Signed-off-by: Kshitij Sisodia --- tests/use_case/asr/InferenceTestWav2Letter.cc | 39 +++++++++++++-------------- 1 file changed, 19 insertions(+), 20 deletions(-) (limited to 'tests/use_case/asr') diff --git a/tests/use_case/asr/InferenceTestWav2Letter.cc b/tests/use_case/asr/InferenceTestWav2Letter.cc index e6012c3..991617c 100644 --- a/tests/use_case/asr/InferenceTestWav2Letter.cc +++ b/tests/use_case/asr/InferenceTestWav2Letter.cc @@ -1,6 +1,6 @@ /* - * SPDX-FileCopyrightText: Copyright 2021 Arm Limited and/or its affiliates - * SPDX-License-Identifier: Apache-2.0 + * SPDX-FileCopyrightText: Copyright 2021 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. @@ -14,10 +14,10 @@ * See the License for the specific language governing permissions and * limitations under the License. */ +#include "BufAttributes.hpp" #include "TensorFlowLiteMicro.hpp" -#include "Wav2LetterModel.hpp" #include "TestData_asr.hpp" -#include "BufAttributes.hpp" +#include "Wav2LetterModel.hpp" #include #include @@ -51,11 +51,9 @@ bool RunInferenceRandom(arm::app::Model& model) std::random_device rndDevice; std::mt19937 mersenneGen{rndDevice()}; - std::uniform_int_distribution dist {-128, 127}; + std::uniform_int_distribution dist{-128, 127}; - auto gen = [&dist, &mersenneGen](){ - return dist(mersenneGen); - }; + auto gen = [&dist, &mersenneGen]() { return dist(mersenneGen); }; std::vector randomAudio(inputTensor->bytes); std::generate(std::begin(randomAudio), std::end(randomAudio), gen); @@ -64,21 +62,22 @@ bool RunInferenceRandom(arm::app::Model& model) return true; } -TEST_CASE("Running random inference with TensorFlow Lite Micro and Wav2LetterModel Int8", "[Wav2Letter]") +TEST_CASE("Running random inference with TensorFlow Lite Micro and Wav2LetterModel Int8", + "[Wav2Letter]") { arm::app::Wav2LetterModel model{}; REQUIRE_FALSE(model.IsInited()); REQUIRE(model.Init(arm::app::tensorArena, - sizeof(arm::app::tensorArena), - arm::app::asr::GetModelPointer(), - arm::app::asr::GetModelLen())); + sizeof(arm::app::tensorArena), + arm::app::asr::GetModelPointer(), + arm::app::asr::GetModelLen())); REQUIRE(model.IsInited()); REQUIRE(RunInferenceRandom(model)); } -template +template void TestInference(const T* input_goldenFV, const T* output_goldenFV, arm::app::Model& model) { TfLiteTensor* inputTensor = model.GetInputTensor(0); @@ -101,9 +100,10 @@ void TestInference(const T* input_goldenFV, const T* output_goldenFV, arm::app:: TEST_CASE("Running inference with Tflu and Wav2LetterModel Int8", "[Wav2Letter]") { REQUIRE(NUMBER_OF_IFM_FILES == NUMBER_OF_IFM_FILES); - for (uint32_t i = 0 ; i < NUMBER_OF_IFM_FILES; ++i) { - auto input_goldenFV = get_ifm_data_array(i);; - auto output_goldenFV = get_ofm_data_array(i); + for (uint32_t i = 0; i < NUMBER_OF_IFM_FILES; ++i) { + auto input_goldenFV = GetIfmDataArray(i); + ; + auto output_goldenFV = GetOfmDataArray(i); DYNAMIC_SECTION("Executing inference with re-init") { @@ -111,13 +111,12 @@ TEST_CASE("Running inference with Tflu and Wav2LetterModel Int8", "[Wav2Letter]" REQUIRE_FALSE(model.IsInited()); REQUIRE(model.Init(arm::app::tensorArena, - sizeof(arm::app::tensorArena), - arm::app::asr::GetModelPointer(), - arm::app::asr::GetModelLen())); + sizeof(arm::app::tensorArena), + arm::app::asr::GetModelPointer(), + arm::app::asr::GetModelLen())); REQUIRE(model.IsInited()); TestInference(input_goldenFV, output_goldenFV, model); - } } } -- cgit v1.2.1