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-rw-r--r--source/application/main/Classifier.cc7
-rw-r--r--source/application/main/Main.cc1
-rw-r--r--source/application/main/Mfcc.cc4
-rw-r--r--source/application/main/PlatformMath.cc315
-rw-r--r--source/application/main/UseCaseCommonUtils.cc12
-rw-r--r--source/application/main/include/Classifier.hpp2
-rw-r--r--source/application/main/include/DataStructures.hpp4
-rw-r--r--source/application/main/include/PlatformMath.hpp176
-rw-r--r--source/application/main/include/UseCaseCommonUtils.hpp10
9 files changed, 21 insertions, 510 deletions
diff --git a/source/application/main/Classifier.cc b/source/application/main/Classifier.cc
index a6ff532..6fabebe 100644
--- a/source/application/main/Classifier.cc
+++ b/source/application/main/Classifier.cc
@@ -16,15 +16,16 @@
*/
#include "Classifier.hpp"
-#include "hal.h"
#include "TensorFlowLiteMicro.hpp"
+#include "PlatformMath.hpp"
+#include "log_macros.h"
#include <vector>
#include <string>
#include <set>
#include <cstdint>
-#include <inttypes.h>
-#include "PlatformMath.hpp"
+#include <cinttypes>
+
namespace arm {
namespace app {
diff --git a/source/application/main/Main.cc b/source/application/main/Main.cc
index 9622566..3a1c110 100644
--- a/source/application/main/Main.cc
+++ b/source/application/main/Main.cc
@@ -20,6 +20,7 @@
\****************************************************************************/
#include "hal.h" /* our hardware abstraction api */
+#include "log_macros.h"
#include "TensorFlowLiteMicro.hpp" /* our inference logic api */
#include <cstdio>
diff --git a/source/application/main/Mfcc.cc b/source/application/main/Mfcc.cc
index 2d697ee..3bf5eb3 100644
--- a/source/application/main/Mfcc.cc
+++ b/source/application/main/Mfcc.cc
@@ -15,11 +15,11 @@
* limitations under the License.
*/
#include "Mfcc.hpp"
-
#include "PlatformMath.hpp"
+#include "log_macros.h"
#include <cfloat>
-#include <inttypes.h>
+#include <cinttypes>
namespace arm {
namespace app {
diff --git a/source/application/main/PlatformMath.cc b/source/application/main/PlatformMath.cc
deleted file mode 100644
index 26b4b72..0000000
--- a/source/application/main/PlatformMath.cc
+++ /dev/null
@@ -1,315 +0,0 @@
-/*
- * Copyright (c) 2021 Arm Limited. All rights reserved.
- * 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 "PlatformMath.hpp"
-#include <algorithm>
-#include <numeric>
-
-#if 0 == ARM_DSP_AVAILABLE
- #include <cmath>
- #include <numeric>
-#endif /* 0 == ARM_DSP_AVAILABLE */
-
-namespace arm {
-namespace app {
-namespace math {
-
- float MathUtils::CosineF32(float radians)
- {
-#if ARM_DSP_AVAILABLE
- return arm_cos_f32(radians);
-#else /* ARM_DSP_AVAILABLE */
- return cos(radians);
-#endif /* ARM_DSP_AVAILABLE */
- }
-
- float MathUtils::SineF32(float radians)
- {
-#if ARM_DSP_AVAILABLE
- return arm_sin_f32(radians);
-#else /* ARM_DSP_AVAILABLE */
- return sin(radians);
-#endif /* ARM_DSP_AVAILABLE */
- }
-
- float MathUtils::SqrtF32(float input)
- {
-#if ARM_DSP_AVAILABLE
- float output = 0.f;
- arm_sqrt_f32(input, &output);
- return output;
-#else /* ARM_DSP_AVAILABLE */
- return sqrtf(input);
-#endif /* ARM_DSP_AVAILABLE */
- }
-
- float MathUtils::MeanF32(float* ptrSrc, const uint32_t srcLen)
- {
- if (!srcLen) {
- return 0.f;
- }
-
-#if ARM_DSP_AVAILABLE
- float result = 0.f;
- arm_mean_f32(ptrSrc, srcLen, &result);
- return result;
-#else /* ARM_DSP_AVAILABLE */
- float acc = std::accumulate(ptrSrc, ptrSrc + srcLen, 0.0);
- return acc/srcLen;
-#endif /* ARM_DSP_AVAILABLE */
- }
-
- float MathUtils::StdDevF32(float* ptrSrc, const uint32_t srcLen,
- const float mean)
- {
- if (!srcLen) {
- return 0.f;
- }
-#if ARM_DSP_AVAILABLE
- /**
- * Note Standard deviation calculation can be off
- * by > 0.01 but less than < 0.1, according to
- * preliminary findings.
- **/
- UNUSED(mean);
- float stdDev = 0;
- arm_std_f32(ptrSrc, srcLen, &stdDev);
- return stdDev;
-#else /* ARM_DSP_AVAILABLE */
- auto VarianceFunction = [=](float acc, const float value) {
- return acc + (((value - mean) * (value - mean))/ srcLen);
- };
-
- float acc = std::accumulate(ptrSrc, ptrSrc + srcLen, 0.0,
- VarianceFunction);
-
- return sqrtf(acc);
-#endif /* ARM_DSP_AVAILABLE */
- }
-
- void MathUtils::FftInitF32(const uint16_t fftLen,
- FftInstance& fftInstance,
- const FftType type)
- {
- fftInstance.m_fftLen = fftLen;
- fftInstance.m_initialised = false;
- fftInstance.m_optimisedOptionAvailable = false;
- fftInstance.m_type = type;
-
-#if ARM_DSP_AVAILABLE
- arm_status status = ARM_MATH_ARGUMENT_ERROR;
- switch (fftInstance.m_type) {
- case FftType::real:
- status = arm_rfft_fast_init_f32(&fftInstance.m_instanceReal, fftLen);
- break;
-
- case FftType::complex:
- status = arm_cfft_init_f32(&fftInstance.m_instanceComplex, fftLen);
- break;
-
- default:
- printf_err("Invalid FFT type\n");
- return;
- }
-
- if (ARM_MATH_SUCCESS != status) {
- printf_err("Failed to initialise FFT for len %d\n", fftLen);
- } else {
- fftInstance.m_optimisedOptionAvailable = true;
- }
-#endif /* ARM_DSP_AVAILABLE */
-
- if (!fftInstance.m_optimisedOptionAvailable) {
- debug("Non optimised FFT will be used\n.");
- }
-
- fftInstance.m_initialised = true;
- }
-
- static void FftRealF32(std::vector<float>& input,
- std::vector<float>& fftOutput)
- {
- const size_t inputLength = input.size();
- const size_t halfLength = input.size() / 2;
-
- fftOutput[0] = 0;
- fftOutput[1] = 0;
- for (size_t t = 0; t < inputLength; t++) {
- fftOutput[0] += input[t];
- fftOutput[1] += input[t] *
- MathUtils::CosineF32(2 * M_PI * halfLength * t / inputLength);
- }
-
- for (size_t k = 1, j = 2; k < halfLength; ++k, j += 2) {
- float sumReal = 0;
- float sumImag = 0;
-
- const float theta = static_cast<float>(2 * M_PI * k / inputLength);
-
- for (size_t t = 0; t < inputLength; t++) {
- const auto angle = static_cast<float>(t * theta);
- sumReal += input[t] * MathUtils::CosineF32(angle);
- sumImag += -input[t]* MathUtils::SineF32(angle);
- }
-
- /* Arrange output to [real0, realN/2, real1, im1, real2, im2, ...] */
- fftOutput[j] = sumReal;
- fftOutput[j + 1] = sumImag;
- }
- }
-
- static void FftComplexF32(std::vector<float>& input,
- std::vector<float>& fftOutput)
- {
- const size_t fftLen = input.size() / 2;
- for (size_t k = 0; k < fftLen; k++) {
- float sumReal = 0;
- float sumImag = 0;
- const auto theta = static_cast<float>(2 * M_PI * k / fftLen);
- for (size_t t = 0; t < fftLen; t++) {
- const auto angle = theta * t;
- const auto cosine = MathUtils::CosineF32(angle);
- const auto sine = MathUtils::SineF32(angle);
- sumReal += input[t*2] * cosine + input[t*2 + 1] * sine;
- sumImag += -input[t*2] * sine + input[t*2 + 1] * cosine;
- }
- fftOutput[k*2] = sumReal;
- fftOutput[k*2 + 1] = sumImag;
- }
- }
-
- void MathUtils::FftF32(std::vector<float>& input,
- std::vector<float>& fftOutput,
- arm::app::math::FftInstance& fftInstance)
- {
- if (!fftInstance.m_initialised) {
- printf_err("FFT uninitialised\n");
- return;
- } else if (input.size() < fftInstance.m_fftLen) {
- printf_err("FFT len: %" PRIu16 "; input len: %zu\n",
- fftInstance.m_fftLen, input.size());
- return;
- } else if (fftOutput.size() < input.size()) {
- printf_err("Output vector len insufficient to hold FFTs\n");
- return;
- }
-
- switch (fftInstance.m_type) {
- case FftType::real:
-
-#if ARM_DSP_AVAILABLE
- if (fftInstance.m_optimisedOptionAvailable) {
- arm_rfft_fast_f32(&fftInstance.m_instanceReal, input.data(), fftOutput.data(), 0);
- return;
- }
-#endif /* ARM_DSP_AVAILABLE */
- FftRealF32(input, fftOutput);
- return;
-
- case FftType::complex:
- if (input.size() < fftInstance.m_fftLen * 2) {
- printf_err("Complex FFT instance should have input size >= (FFT len x 2)");
- return;
- }
-#if ARM_DSP_AVAILABLE
- if (fftInstance.m_optimisedOptionAvailable) {
- fftOutput = input; /* Complex function works in-place */
- arm_cfft_f32(&fftInstance.m_instanceComplex, fftOutput.data(), 0, 1);
- return;
- }
-#endif /* ARM_DSP_AVAILABLE */
- FftComplexF32(input, fftOutput);
- return;
-
- default:
- printf_err("Invalid FFT type\n");
- return;
- }
- }
-
- void MathUtils::VecLogarithmF32(std::vector <float>& input,
- std::vector <float>& output)
- {
-#if ARM_DSP_AVAILABLE
- arm_vlog_f32(input.data(), output.data(),
- output.size());
-#else /* ARM_DSP_AVAILABLE */
- for (auto in = input.begin(), out = output.begin();
- in != input.end() && out != output.end(); ++in, ++out) {
- *out = logf(*in);
- }
-#endif /* ARM_DSP_AVAILABLE */
- }
-
- float MathUtils::DotProductF32(float* srcPtrA, float* srcPtrB,
- const uint32_t srcLen)
- {
- float output = 0.f;
-
-#if ARM_DSP_AVAILABLE
- arm_dot_prod_f32(srcPtrA, srcPtrB, srcLen, &output);
-#else /* ARM_DSP_AVAILABLE */
- for (uint32_t i = 0; i < srcLen; ++i) {
- output += *srcPtrA++ * *srcPtrB++;
- }
-#endif /* ARM_DSP_AVAILABLE */
-
- return output;
- }
-
- bool MathUtils::ComplexMagnitudeSquaredF32(float* ptrSrc,
- const uint32_t srcLen,
- float* ptrDst,
- const uint32_t dstLen)
- {
- if (dstLen < srcLen/2) {
- printf_err("dstLen must be greater than srcLen/2");
- return false;
- }
-
-#if ARM_DSP_AVAILABLE
- arm_cmplx_mag_squared_f32(ptrSrc, ptrDst, srcLen/2);
-#else /* ARM_DSP_AVAILABLE */
- for (uint32_t j = 0; j < srcLen/2; ++j) {
- const float real = *ptrSrc++;
- const float im = *ptrSrc++;
- *ptrDst++ = real*real + im*im;
- }
-#endif /* ARM_DSP_AVAILABLE */
- return true;
- }
-
- void MathUtils::SoftmaxF32(std::vector<float>& vec)
- {
- /* Fix for numerical stability and apply exp. */
- auto start = vec.begin();
- auto end = vec.end();
-
- float maxValue = *std::max_element(start, end);
- for (auto it = start; it != end; ++it) {
- *it = std::exp((*it) - maxValue);
- }
-
- float sumExp = std::accumulate(start, end, 0.0f);
-
- for (auto it = start; it != end; ++it) {
- *it = (*it)/sumExp;
- }
- }
-
-} /* namespace math */
-} /* namespace app */
-} /* namespace arm */
diff --git a/source/application/main/UseCaseCommonUtils.cc b/source/application/main/UseCaseCommonUtils.cc
index 67e784b..dd9a32d 100644
--- a/source/application/main/UseCaseCommonUtils.cc
+++ b/source/application/main/UseCaseCommonUtils.cc
@@ -16,7 +16,9 @@
*/
#include "UseCaseCommonUtils.hpp"
#include "InputFiles.hpp"
-#include <inttypes.h>
+#include "log_macros.h"
+
+#include <cinttypes>
void DisplayCommonMenu()
@@ -74,7 +76,7 @@ bool image::PresentInferenceResult(
platform.data_psn->present_data_text(
resultStr.c_str(), resultStr.size(),
- dataPsnTxtStartX1, rowIdx1, 0);
+ dataPsnTxtStartX1, rowIdx1, false);
rowIdx1 += dataPsnTxtYIncr;
resultStr = std::to_string(i + 1) + ") " + results[i].m_label;
@@ -105,7 +107,7 @@ void image::RgbToGrayscale(const uint8_t *srcPtr, uint8_t *dstPtr, const size_t
}
}
-void IncrementAppCtxIfmIdx(arm::app::ApplicationContext& ctx, std::string useCase)
+void IncrementAppCtxIfmIdx(arm::app::ApplicationContext& ctx, const std::string& useCase)
{
#if NUMBER_OF_FILES > 0
auto curImIdx = ctx.Get<uint32_t>(useCase);
@@ -122,7 +124,7 @@ void IncrementAppCtxIfmIdx(arm::app::ApplicationContext& ctx, std::string useCas
#endif /* NUMBER_OF_FILES > 0 */
}
-bool SetAppCtxIfmIdx(arm::app::ApplicationContext& ctx, uint32_t idx, std::string ctxIfmName)
+bool SetAppCtxIfmIdx(arm::app::ApplicationContext& ctx, uint32_t idx, const std::string& ctxIfmName)
{
#if NUMBER_OF_FILES > 0
if (idx >= NUMBER_OF_FILES) {
@@ -192,7 +194,7 @@ void DumpTensor(const TfLiteTensor* tensor, const size_t lineBreakForNumElements
}
const uint32_t tensorSz = tensor->bytes;
- const uint8_t* tensorData = tflite::GetTensorData<uint8_t>(tensor);
+ const auto* tensorData = tflite::GetTensorData<uint8_t>(tensor);
DumpTensorData(tensorData, tensorSz, lineBreakForNumElements);
}
diff --git a/source/application/main/include/Classifier.hpp b/source/application/main/include/Classifier.hpp
index d899e8e..d641c22 100644
--- a/source/application/main/include/Classifier.hpp
+++ b/source/application/main/include/Classifier.hpp
@@ -50,7 +50,7 @@ namespace app {
TfLiteTensor* outputTensor,
std::vector<ClassificationResult>& vecResults,
const std::vector <std::string>& labels, uint32_t topNCount,
- bool use_softmax = false);
+ bool use_softmax);
/**
* @brief Populate the elements of the Classification Result object.
diff --git a/source/application/main/include/DataStructures.hpp b/source/application/main/include/DataStructures.hpp
index d369cb6..0616839 100644
--- a/source/application/main/include/DataStructures.hpp
+++ b/source/application/main/include/DataStructures.hpp
@@ -17,8 +17,6 @@
#ifndef DATA_STRUCTURES_HPP
#define DATA_STRUCTURES_HPP
-#include "hal.h"
-
#include <iterator>
namespace arm {
@@ -50,7 +48,7 @@ namespace app {
Array2d(unsigned rows, unsigned cols): m_rows(rows), m_cols(cols)
{
if (rows == 0 || cols == 0) {
- printf_err("Array2d constructor has 0 size.\n");
+ printf("Array2d constructor has 0 size.\n");
m_data = nullptr;
return;
}
diff --git a/source/application/main/include/PlatformMath.hpp b/source/application/main/include/PlatformMath.hpp
deleted file mode 100644
index fdb51b2..0000000
--- a/source/application/main/include/PlatformMath.hpp
+++ /dev/null
@@ -1,176 +0,0 @@
-/*
- * Copyright (c) 2021 Arm Limited. All rights reserved.
- * 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.
- */
-#ifndef PLATFORM_MATH_HPP
-#define PLATFORM_MATH_HPP
-
-#include "hal.h"
-
-/* See if ARM DSP functions can be used. */
-#if PLATFORM_HAL == PLATFORM_CORTEX_M_BAREMETAL
- #if defined(__DSP_PRESENT) && (__DSP_PRESENT == 1U)
-
- #define ARM_DSP_AVAILABLE (1U)
- #include "arm_math.h"
- #define M_PI (PI)
-
- #endif /* defined(__DSP_PRESENT) && (__DSP_PRESENT == 1U) */
-#endif /* PLATFORM_HAL == PLATFORM_CORTEX_M_BAREMETAL */
-
-#include <vector>
-
-namespace arm {
-namespace app {
-namespace math {
-
- enum class FftType {
- real = 0,
- complex = 1
- };
-
- struct FftInstance {
-#if ARM_DSP_AVAILABLE
- arm_rfft_fast_instance_f32 m_instanceReal;
- arm_cfft_instance_f32 m_instanceComplex;
-#endif
- uint16_t m_fftLen{0};
- FftType m_type;
- bool m_optimisedOptionAvailable{false};
- bool m_initialised{false};
- };
-
- /* Class to provide Math functions like FFT, mean, stddev etc.
- * This will allow other classes, functions to be independent of
- * #if definition checks and provide a cleaner API. Also, it will
- * consolidate all arm math functions used in one place and make
- * them easier to test. */
- class MathUtils {
-
- public:
- /**
- * @brief Get the cosine value of the argument in floating point.
- * @param[in] radians Angle in radians.
- * @return Cosine value (floating point).
- */
- static float CosineF32(float radians);
-
- /**
- * @brief Get the sine value of the argument in floating point.
- * @param[in] radians Angle in radians.
- * @return Sine value (floating point).
- */
- static float SineF32(float radians);
-
- /**
- * @brief Get the square root of the argument in floating point.
- * @param[in] input Value to compute square root of.
- * @return Square root (floating point) value.
- */
- static float SqrtF32(float input);
-
- /**
- * @brief Gets the mean of a floating point array of elements.
- * @param[in] ptrSrc Pointer to the first element.
- * @param[in] srcLen Number of elements in the array/vector.
- * @return Average value.
- */
- static float MeanF32(float* ptrSrc, uint32_t srcLen);
-
- /**
- * @brief Gets the standard deviation of a floating point array
- * of elements.
- * @param[in] ptrSrc Pointer to the first element.
- * @param[in] srcLen Number of elements in the array/vector.
- * @param[in] mean Pre-computed mean value.
- * @return Standard deviation value.
- */
- static float StdDevF32(float* ptrSrc, uint32_t srcLen,
- float mean);
-
- /**
- * @brief Initialises the internal FFT structures (if available
- * for the platform). This function should be called
- * prior to Fft32 function call if built with ARM DSP functions.
- * @param[in] fftLen Requested length of the FFT.
- * @param[in] fftInstance FFT instance struct to use.
- * @param[in] type FFT type (real or complex)
- */
- static void FftInitF32(const uint16_t fftLen,
- FftInstance& fftInstance,
- const FftType type = FftType::real);
-
- /**
- * @brief Computes the FFT for the input vector.
- * @param[in] input Floating point vector of input elements
- * @param[out] fftOutput Output buffer to be populated by computed FFTs.
- * @param[in] fftInstance FFT instance struct to use.
- */
- static void FftF32(std::vector<float>& input,
- std::vector<float>& fftOutput,
- FftInstance& fftInstance);
-
- /**
- * @brief Computes the natural logarithms of input floating point
- * vector
- * @param[in] input Floating point input vector
- * @param[out] output Pre-allocated buffer to be populated with
- * natural log values of each input element.
- */
- static void VecLogarithmF32(std::vector <float>& input,
- std::vector <float>& output);
-
- /**
- * @brief Computes the dot product of two 1D floating point
- * vectors.
- * result = sum(srcA[0]*srcB[0] + srcA[1]*srcB[1] + ..)
- * @param[in] srcPtrA Pointer to the first element of first
- * array.
- * @param[in] srcPtrB Pointer to the first element of second
- * array.
- * @param[in] srcLen Number of elements in the array/vector.
- * @return Dot product.
- */
- static float DotProductF32(float* srcPtrA, float* srcPtrB,
- const uint32_t srcLen);
-
- /**
- * @brief Computes the squared magnitude of floating point
- * complex number array.
- * @param[in] ptrSrc Pointer to the first element of input
- * array.
- * @param[in] srcLen Number of elements in the array/vector.
- * @param[out] ptrDst Output buffer to be populated.
- * @param[in] dstLen Output buffer len (for sanity check only).
- * @return true if successful, false otherwise.
- */
- static bool ComplexMagnitudeSquaredF32(float* ptrSrc,
- const uint32_t srcLen,
- float* ptrDst,
- const uint32_t dstLen);
-
- /**
- * @brief Scales output scores for an arbitrary number of classes so
- * that they sum to 1, allowing output to be expressed as a probability.
- * @param[in] vector Vector of floats modified in-place
- */
- static void SoftmaxF32(std::vector<float>& vec);
- };
-
-} /* namespace math */
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* PLATFORM_MATH_HPP */ \ No newline at end of file
diff --git a/source/application/main/include/UseCaseCommonUtils.hpp b/source/application/main/include/UseCaseCommonUtils.hpp
index 84b5de3..cd0cb69 100644
--- a/source/application/main/include/UseCaseCommonUtils.hpp
+++ b/source/application/main/include/UseCaseCommonUtils.hpp
@@ -24,7 +24,7 @@
#include "UseCaseHandler.hpp" /* Handlers for different user options. */
#include "Classifier.hpp" /* Classifier. */
#include "InputFiles.hpp"
-#include <inttypes.h>
+#include <cinttypes>
/* Helper macro to convert RGB888 to RGB565 format. */
@@ -33,8 +33,8 @@
((B8>>3) & 0x1F))
constexpr uint16_t COLOR_BLACK = 0;
-constexpr uint16_t COLOR_GREEN = RGB888_TO_RGB565( 0, 255, 0); // 2016;
-constexpr uint16_t COLOR_YELLOW = RGB888_TO_RGB565(255, 255, 0); // 65504;
+constexpr uint16_t COLOR_GREEN = RGB888_TO_RGB565( 0u, 255u, 0u); // 2016;
+constexpr uint16_t COLOR_YELLOW = RGB888_TO_RGB565(255u, 255u, 0u); // 65504;
void DisplayCommonMenu();
@@ -72,7 +72,7 @@ namespace image{
* @param[in,out] ctx Pointer to the application context object.
* @param[in] useCase Use case name
**/
-void IncrementAppCtxIfmIdx(arm::app::ApplicationContext& ctx, std::string useCase);
+void IncrementAppCtxIfmIdx(arm::app::ApplicationContext& ctx, const std::string& useCase);
/**
* @brief Helper function to set the input feature map index.
@@ -81,7 +81,7 @@ void IncrementAppCtxIfmIdx(arm::app::ApplicationContext& ctx, std::string useCas
* @param[in] ctxIfmName Input Feature Map name
* @return true if index is set, false otherwise.
**/
-bool SetAppCtxIfmIdx(arm::app::ApplicationContext& ctx, uint32_t idx, std::string ctxIfmName);
+bool SetAppCtxIfmIdx(arm::app::ApplicationContext& ctx, uint32_t idx, const std::string& ctxIfmName);
namespace common {
generated by cgit v1.2.1 (git 2.23.0) at 2024-08-07 18:21:39 +0000