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 <kshitij.sisodia@arm.com>
diff --git a/tests/use_case/noise_reduction/RNNNoiseUCTests.cc b/tests/use_case/noise_reduction/RNNNoiseUCTests.cc
index d835c21..7f9ff19 100644
--- a/tests/use_case/noise_reduction/RNNNoiseUCTests.cc
+++ b/tests/use_case/noise_reduction/RNNNoiseUCTests.cc
@@ -1,6 +1,6 @@
/*
- * SPDX-FileCopyrightText: Copyright 2021-2022 Arm Limited and/or its affiliates <open-source-office@arm.com>
- * SPDX-License-Identifier: Apache-2.0
+ * SPDX-FileCopyrightText: Copyright 2021-2022 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.
@@ -14,13 +14,13 @@
* See the License for the specific language governing permissions and
* limitations under the License.
*/
+#include "BufAttributes.hpp"
+#include "InputFiles.hpp"
+#include "Profiler.hpp"
+#include "RNNUCTestCaseData.hpp"
#include "RNNoiseModel.hpp"
#include "UseCaseHandler.hpp"
-#include "InputFiles.hpp"
-#include "RNNUCTestCaseData.hpp"
-#include "BufAttributes.hpp"
#include "hal.h"
-#include "Profiler.hpp"
#include <catch.hpp>
@@ -34,13 +34,13 @@
} /* namespace app */
} /* namespace arm */
-#define PLATFORM hal_platform_init();
+#define PLATFORM hal_platform_init();
-#define CONTEXT \
-arm::app::ApplicationContext caseContext; \
-arm::app::Profiler profiler{"noise_reduction"}; \
-caseContext.Set<arm::app::Profiler&>("profiler", profiler); \
-caseContext.Set<arm::app::RNNoiseModel&>("model", model);
+#define CONTEXT \
+ arm::app::ApplicationContext caseContext; \
+ arm::app::Profiler profiler{"noise_reduction"}; \
+ caseContext.Set<arm::app::Profiler&>("profiler", profiler); \
+ caseContext.Set<arm::app::RNNoiseModel&>("model", model);
TEST_CASE("Verify output tensor memory dump")
{
@@ -56,12 +56,12 @@
/* Populate the output tensors */
const size_t numOutputs = model.GetNumOutputs();
- size_t sizeToWrite = 0;
- size_t lastTensorSize = model.GetOutputTensor(numOutputs - 1)->bytes;
+ size_t sizeToWrite = 0;
+ size_t lastTensorSize = model.GetOutputTensor(numOutputs - 1)->bytes;
for (size_t i = 0; i < numOutputs; ++i) {
TfLiteTensor* tensor = model.GetOutputTensor(i);
- auto* tData = tflite::GetTensorData<uint8_t>(tensor);
+ auto* tData = tflite::GetTensorData<uint8_t>(tensor);
if (tensor->bytes > 0) {
memset(tData, static_cast<uint8_t>(i), tensor->bytes);
@@ -69,7 +69,6 @@
}
}
-
SECTION("Positive use case")
{
/* Run the memory dump */
@@ -80,7 +79,7 @@
size_t k = 0;
for (size_t i = 0; i < numOutputs && k < memPool.size(); ++i) {
TfLiteTensor* tensor = model.GetOutputTensor(i);
- auto* tData = tflite::GetTensorData<uint8_t>(tensor);
+ auto* tData = tflite::GetTensorData<uint8_t>(tensor);
for (size_t j = 0; j < tensor->bytes && k < memPool.size(); ++j) {
REQUIRE(tData[j] == memPool[k++]);
@@ -126,28 +125,31 @@
REQUIRE(arm::app::NoiseReductionHandler(caseContext, true));
}
-std::function<uint32_t(const uint32_t)> get_golden_input_p232_208_array_size(const uint32_t numberOfFeatures) {
+std::function<uint32_t(const uint32_t)>
+get_golden_input_p232_208_array_size(const uint32_t numberOfFeatures)
+{
- return [numberOfFeatures](const uint32_t) -> uint32_t{
- return numberOfFeatures;
- };
+ return [numberOfFeatures](const uint32_t) -> uint32_t { return numberOfFeatures; };
}
-const char* get_test_filename(const uint32_t idx) {
- auto name = get_filename(idx);
+const char* get_test_filename(const uint32_t idx)
+{
+ auto name = GetFilename(idx);
REQUIRE(std::string("p232_208.wav") == name);
return "p232_208.wav";
}
-void testInfByIndex(std::vector<uint32_t>& numberOfInferences) {
+void testInfByIndex(std::vector<uint32_t>& numberOfInferences)
+{
PLATFORM
arm::app::RNNoiseModel model;
CONTEXT
- caseContext.Set<std::function<const int16_t*(const uint32_t)>>("features", get_audio_array);
- caseContext.Set<std::function<const char* (const uint32_t)>>("featureFileNames", get_test_filename);
+ caseContext.Set<std::function<const int16_t*(const uint32_t)>>("features", GetAudioArray);
+ caseContext.Set<std::function<const char*(const uint32_t)>>("featureFileNames",
+ get_test_filename);
caseContext.Set<uint32_t>("frameLength", arm::app::rnn::g_FrameLength);
caseContext.Set<uint32_t>("frameStride", arm::app::rnn::g_FrameStride);
caseContext.Set<uint32_t>("numInputFeatures", arm::app::rnn::g_NumInputFeatures);
@@ -160,18 +162,21 @@
size_t oneInferenceOutSizeBytes = arm::app::rnn::g_FrameLength * sizeof(int16_t);
auto infIndex = 0;
- for (auto numInf: numberOfInferences) {
- DYNAMIC_SECTION("Number of features: "<< numInf) {
- caseContext.Set<uint32_t>("clipIndex", 1); /* Only getting p232_208.wav for tests. */
+ for (auto numInf : numberOfInferences) {
+ DYNAMIC_SECTION("Number of features: " << numInf)
+ {
+ caseContext.Set<uint32_t>("clipIndex", 1); /* Only getting p232_208.wav for tests. */
uint32_t audioSizeInput = numInf * arm::app::rnn::g_FrameLength;
- caseContext.Set<std::function<uint32_t(const uint32_t)>>("featureSizes",
- get_golden_input_p232_208_array_size(audioSizeInput));
+ caseContext.Set<std::function<uint32_t(const uint32_t)>>(
+ "featureSizes", get_golden_input_p232_208_array_size(audioSizeInput));
- size_t headerNumBytes = 4 + 12 + 4; /* Filename length, filename (12 for p232_208.wav), dump size. */
- size_t footerNumBytes = 4; /* Eof value. */
- size_t memDumpMaxLenBytes = headerNumBytes + footerNumBytes + oneInferenceOutSizeBytes * numInf;
+ size_t headerNumBytes =
+ 4 + 12 + 4; /* Filename length, filename (12 for p232_208.wav), dump size. */
+ size_t footerNumBytes = 4; /* Eof value. */
+ size_t memDumpMaxLenBytes =
+ headerNumBytes + footerNumBytes + oneInferenceOutSizeBytes * numInf;
- std::vector<uint8_t > memDump(memDumpMaxLenBytes);
+ std::vector<uint8_t> memDump(memDumpMaxLenBytes);
size_t undefMemDumpBytesWritten = 0;
caseContext.Set<size_t>("MEM_DUMP_LEN", memDumpMaxLenBytes);
caseContext.Set<uint8_t*>("MEM_DUMP_BASE_ADDR", memDump.data());
@@ -199,8 +204,9 @@
TEST_CASE("Inference by index - one inference", "[RNNoise]")
{
- auto totalAudioSize = get_audio_array_size(1);
- REQUIRE(64757 == totalAudioSize); /* Checking that the input file is as expected and has not changed. */
+ auto totalAudioSize = GetAudioArraySize(1);
+ REQUIRE(64757 ==
+ totalAudioSize); /* Checking that the input file is as expected and has not changed. */
/* Run 1 inference */
std::vector<uint32_t> numberOfInferences = {1};
@@ -209,8 +215,9 @@
TEST_CASE("Inference by index - several inferences", "[RNNoise]")
{
- auto totalAudioSize = get_audio_array_size(1);
- REQUIRE(64757 == totalAudioSize); /* Checking that the input file is as expected and has not changed. */
+ auto totalAudioSize = GetAudioArraySize(1);
+ REQUIRE(64757 ==
+ totalAudioSize); /* Checking that the input file is as expected and has not changed. */
/* 3 different inference amounts: 1, 2 and all inferences required to cover total feature set */
uint32_t totalInferences = totalAudioSize / arm::app::rnn::g_FrameLength;