/* * SPDX-FileCopyrightText: Copyright (c) 1993-2026 NVIDIA CORPORATION & AFFILIATES. 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 TENSORRT_COMMON_H #define TENSORRT_COMMON_H #include "NvInfer.h" #include "NvInferPlugin.h" #include "logger.h" #include "sampleEntrypoints.h" #include "utils/cacheUtils.h" #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #ifdef _MSC_VER // For loadLibrary // Needed so that the max/min definitions in windows.h do not conflict with std::max/min. #define NOMINMAX #include #undef NOMINMAX #else #include #endif #ifdef _MSC_VER #define FN_NAME __FUNCTION__ #else #define FN_NAME __func__ #endif #if defined(__aarch64__) || defined(__QNX__) #define ENABLE_DLA_API 1 #endif using namespace nvinfer1; #define CHECK_RETURN_W_MSG(status, val, errMsg) \ do \ { \ if (!(status)) \ { \ sample::gLogError << errMsg << " Error in " << __FILE__ << ", function " << FN_NAME << "(), line " \ << __LINE__ << std::endl; \ return val; \ } \ } while (0) #undef ASSERT #define ASSERT(condition) \ do \ { \ if (!(condition)) \ { \ sample::gLogError << "Assertion failure: " << #condition << std::endl; \ exit(EXIT_FAILURE); \ } \ } while (0) #define CHECK_RETURN(status, val) CHECK_RETURN_W_MSG(status, val, "") #undef CHECK_WITH_STREAM #define CHECK_WITH_STREAM(status, stream) \ do \ { \ if ((status) != cudaSuccess) \ { \ stream << "Cuda failure at " << __FILE__ << ":" << __LINE__ << ": " << cudaGetErrorString(status) \ << std::endl; \ exit(EXIT_FAILURE); \ } \ } while (0) #undef CHECK #define CHECK(status) CHECK_WITH_STREAM(status, std::cerr) constexpr long double operator"" _GiB(long double val) { return val * (1 << 30); } constexpr long double operator"" _MiB(long double val) { return val * (1 << 20); } constexpr long double operator"" _KiB(long double val) { return val * (1 << 10); } struct SimpleProfiler : public nvinfer1::IProfiler { struct Record { float time{0}; int count{0}; }; void reportLayerTime(const char* layerName, float ms) noexcept override { mProfile[layerName].count++; mProfile[layerName].time += ms; if (std::find(mLayerNames.begin(), mLayerNames.end(), layerName) == mLayerNames.end()) { mLayerNames.push_back(layerName); } } SimpleProfiler(const char* name, const std::vector& srcProfilers = std::vector()) : mName(name) { for (const auto& srcProfiler : srcProfilers) { for (const auto& rec : srcProfiler.mProfile) { auto it = mProfile.find(rec.first); if (it == mProfile.end()) { mProfile.insert(rec); } else { it->second.time += rec.second.time; it->second.count += rec.second.count; } } } } friend std::ostream& operator<<(std::ostream& out, const SimpleProfiler& value) { out << "========== " << value.mName << " profile ==========" << std::endl; float totalTime = 0; std::string layerNameStr = "TensorRT layer name"; int maxLayerNameLength = std::max(static_cast(layerNameStr.size()), 70); for (const auto& elem : value.mProfile) { totalTime += elem.second.time; maxLayerNameLength = std::max(maxLayerNameLength, static_cast(elem.first.size())); } auto old_settings = out.flags(); auto old_precision = out.precision(); // Output header { out << std::setfill(' ') << std::setw(maxLayerNameLength) << layerNameStr << " "; out << std::setw(12) << "Runtime, " << "%" << " "; out << std::setw(12) << "Invocations" << " "; out << std::setw(12) << "Runtime, ms" << std::endl; } for (size_t i = 0; i < value.mLayerNames.size(); i++) { const std::string layerName = value.mLayerNames[i]; auto elem = value.mProfile.at(layerName); out << std::setw(maxLayerNameLength) << layerName << " "; out << std::setw(12) << std::fixed << std::setprecision(1) << (elem.time * 100.0F / totalTime) << "%" << " "; out << std::setw(12) << elem.count << " "; out << std::setw(12) << std::fixed << std::setprecision(2) << elem.time << std::endl; } out.flags(old_settings); out.precision(old_precision); out << "========== " << value.mName << " total runtime = " << totalTime << " ms ==========" << std::endl; return out; } private: std::string mName; std::vector mLayerNames; std::map mProfile; }; namespace samplesCommon { using nvinfer1::utils::loadCacheFile; using nvinfer1::utils::buildTimingCacheFromFile; using nvinfer1::utils::saveCacheFile; using nvinfer1::utils::updateTimingCacheFile; //! \brief Swaps endianness of an integral type. template >> [[nodiscard]] T swapEndianness(T value) { uint8_t bytes[sizeof(T)]; std::memcpy(bytes, &value, sizeof(T)); std::reverse(std::begin(bytes), std::end(bytes)); std::memcpy(&value, bytes, sizeof(T)); return value; } class HostMemory { public: HostMemory() = delete; virtual void* data() const noexcept { return mData; } virtual std::size_t size() const noexcept { return mSize; } virtual nvinfer1::DataType type() const noexcept { return mType; } virtual ~HostMemory() {} protected: HostMemory(std::size_t size, nvinfer1::DataType type) : mData{nullptr} , mSize(size) , mType(type) { } void* mData; std::size_t mSize; nvinfer1::DataType mType; }; template class TypedHostMemory : public HostMemory { public: explicit TypedHostMemory(std::size_t size) : HostMemory(size, dataType) { mData = new ElemType[size]; } ~TypedHostMemory() noexcept override { delete[] (ElemType*) mData; } ElemType* raw() noexcept { return static_cast(data()); } }; using FloatMemory = TypedHostMemory; using HalfMemory = TypedHostMemory; using ByteMemory = TypedHostMemory; inline void* safeCudaMalloc(size_t memSize) { void* deviceMem; CHECK(cudaMalloc(&deviceMem, memSize)); if (deviceMem == nullptr) { std::cerr << "Out of memory" << std::endl; exit(EXIT_FAILURE); } return deviceMem; } inline bool isDebug() { return std::getenv("TENSORRT_DEBUG") != nullptr; } static auto StreamDeleter = [](cudaStream_t* pStream) { if (pStream) { static_cast(cudaStreamDestroy(*pStream)); delete pStream; } }; inline std::unique_ptr makeCudaStream() { std::unique_ptr pStream(new cudaStream_t, StreamDeleter); if (cudaStreamCreateWithFlags(pStream.get(), cudaStreamNonBlocking) != cudaSuccess) { pStream.reset(nullptr); } return pStream; } //! Return vector of indices that puts magnitudes of sequence in descending order. template std::vector argMagnitudeSort(Iter begin, Iter end) { std::vector indices(end - begin); std::iota(indices.begin(), indices.end(), 0); std::sort(indices.begin(), indices.end(), [&begin](size_t i, size_t j) { return std::abs(begin[j]) < std::abs(begin[i]); }); return indices; } inline bool readReferenceFile(const std::string& fileName, std::vector& refVector) { std::ifstream infile(fileName); if (!infile.is_open()) { std::cout << "ERROR: readReferenceFile: Attempting to read from a file that is not open." << std::endl; return false; } std::string line; while (std::getline(infile, line)) { if (line.empty()) continue; refVector.push_back(line); } infile.close(); return true; } template std::vector classify( const std::vector& refVector, const std::vector& output, const size_t topK) { const auto inds = samplesCommon::argMagnitudeSort(output.cbegin(), output.cend()); std::vector result; result.reserve(topK); for (size_t k = 0; k < topK; ++k) { result.push_back(refVector[inds[k]]); } return result; } // Returns indices of highest K magnitudes in v. template std::vector topKMagnitudes(const std::vector& v, const size_t k) { std::vector indices = samplesCommon::argMagnitudeSort(v.cbegin(), v.cend()); indices.resize(k); return indices; } template bool readASCIIFile(const std::string& fileName, const size_t size, std::vector& out) { std::ifstream infile(fileName); if (!infile.is_open()) { std::cout << "ERROR readASCIIFile: Attempting to read from a file that is not open." << std::endl; return false; } out.clear(); out.reserve(size); out.assign(std::istream_iterator(infile), std::istream_iterator()); infile.close(); return true; } template bool writeASCIIFile(const std::string& fileName, const std::vector& in) { std::ofstream outfile(fileName); if (!outfile.is_open()) { std::cout << "ERROR: writeASCIIFile: Attempting to write to a file that is not open." << std::endl; return false; } for (auto fn : in) { outfile << fn << "\n"; } outfile.close(); return true; } inline void print_version() { std::cout << " TensorRT version: " << NV_TENSORRT_MAJOR << "." << NV_TENSORRT_MINOR << "." << NV_TENSORRT_PATCH << "." << NV_TENSORRT_BUILD << std::endl; } inline std::string getFileType(const std::string& filepath) { return filepath.substr(filepath.find_last_of(".") + 1); } inline std::string toLower(const std::string& inp) { std::string out = inp; std::transform(out.begin(), out.end(), out.begin(), ::tolower); return out; } inline float getMaxValue(const float* buffer, int64_t size) { assert(buffer != nullptr); assert(size > 0); return *std::max_element(buffer, buffer + size); } inline void enableDLA( nvinfer1::IBuilder* builder, nvinfer1::IBuilderConfig* config, int useDLACore, bool allowGPUFallback = true) { if (useDLACore >= 0) { if (builder->getNbDLACores() == 0) { std::cerr << "Trying to use DLA core " << useDLACore << " on a platform that doesn't have any DLA cores" << std::endl; assert("Error: use DLA core on a platfrom that doesn't have any DLA cores" && false); } if (allowGPUFallback) { config->setFlag(nvinfer1::BuilderFlag::kGPU_FALLBACK); } config->setDefaultDeviceType(nvinfer1::DeviceType::kDLA); config->setDLACore(useDLACore); } } //! Simple implementation of startsWith for strings (C++20: `std::string_view::starts_with`) [[nodiscard]] constexpr bool startsWith(std::string_view str, std::string_view prefix) { return str.size() >= prefix.size() && str.substr(0, prefix.size()) == prefix; } //! \brief Matches a flag prefix in an argument, ignoring leading spaces. //! \param arg The command-line argument to check. //! \param flag The flag prefix to match (e.g., "--loadEngine="). //! \return A string_view of the remainder after \p flag, or nullopt if \p flag isn't found. [[nodiscard]] std::optional matchFlag(std::string_view arg, std::string_view flag); //! \overload std::optional matchFlag(std::string_view arg, std::string_view flag) to prevent //! accidental use of `std::string&&` arguments which would produce a dangling view, but allow e.g., `char const*`. template [[nodiscard]] std::optional matchFlag(StringViewable&& arg, std::string_view flag) { static_assert(!std::is_rvalue_reference_v, "You don't want the above matchFlag with `std::string&&` arguments which would produce a dangling view."); return matchFlag(std::string_view{arg}, flag); } int32_t parseDLA(int32_t argc, char** argv); inline size_t getNbBytes(nvinfer1::DataType t, int64_t vol) noexcept { switch (t) { case nvinfer1::DataType::kINT64: return 8 * vol; case nvinfer1::DataType::kINT32: case nvinfer1::DataType::kFLOAT: return 4 * vol; case nvinfer1::DataType::kBF16: case nvinfer1::DataType::kHALF: return 2 * vol; case nvinfer1::DataType::kBOOL: case nvinfer1::DataType::kUINT8: case nvinfer1::DataType::kINT8: return vol; case nvinfer1::DataType::kFP8: #if CUDA_VERSION < 11060 ASSERT(false && "FP8 is not supported"); #else return vol; #endif case nvinfer1::DataType::kE8M0: #if CUDA_VERSION < 12080 ASSERT(false && "E8M0 is not supported"); #else return vol; #endif // CUDA_VERSION < 12080 case nvinfer1::DataType::kINT4: case nvinfer1::DataType::kFP4: return (vol + 1) / 2; } ASSERT(false && "Unknown element type"); } // Return least integer no less than exact value of m/n. template inline auto divUp(A m, B n) -> std::enable_if_t::value && std::is_integral::value, A> { ASSERT(n > 0); return (m + n - 1) / n; } inline int64_t volume(nvinfer1::Dims const& d) { return std::accumulate(d.d, d.d + d.nbDims, int64_t{1}, std::multiplies{}); } inline int64_t volume(nvinfer1::Dims const& dims, int32_t start, int32_t stop) { ASSERT(start >= 0); ASSERT(start <= stop); ASSERT(stop <= dims.nbDims); ASSERT(std::all_of(dims.d + start, dims.d + stop, [](int32_t x) { return x >= 0; })); return std::accumulate(dims.d + start, dims.d + stop, int64_t{1}, std::multiplies{}); } //! Locate path to file, given its filename or filepath suffix and possible dirs it might lie in. //! Function will also walk back MAX_DEPTH dirs from CWD to check for such a file path. inline std::string locateFile( const std::string& filepathSuffix, const std::vector& directories, bool reportError = true) { const int MAX_DEPTH{10}; bool found{false}; std::string filepath; for (auto& dir : directories) { if (!dir.empty() && dir.back() != '/') { #ifdef _MSC_VER filepath = dir + "\\" + filepathSuffix; #else filepath = dir + "/" + filepathSuffix; #endif } else { filepath = dir + filepathSuffix; } for (int i = 0; i < MAX_DEPTH && !found; i++) { const std::ifstream checkFile(filepath); found = checkFile.is_open(); if (found) { break; } filepath = "../" + filepath; // Try again in parent dir } if (found) { break; } filepath.clear(); } // Could not find the file if (filepath.empty()) { const std::string dirList = std::accumulate(directories.begin() + 1, directories.end(), directories.front(), [](const std::string& a, const std::string& b) { return a + "\n\t" + b; }); std::cout << "Could not find " << filepathSuffix << " in data directories:\n\t" << dirList << std::endl; if (reportError) { std::cout << "&&&& FAILED" << std::endl; exit(EXIT_FAILURE); } } return filepath; } inline void readPGMFile(const std::string& fileName, uint8_t* buffer, int32_t inH, int32_t inW) { std::ifstream infile(fileName, std::ifstream::binary); ASSERT(infile.is_open() && "Attempting to read from a file that is not open."); std::string magic, w, h, max; infile >> magic >> w >> h >> max; infile.seekg(1, infile.cur); infile.read(reinterpret_cast(buffer), inH * inW); } template struct PPM { std::string magic, fileName; int h, w, max; uint8_t buffer[C * H * W]; }; // New vPPM(variable sized PPM) class with variable dimensions. struct vPPM { std::string magic, fileName; int h, w, max; std::vector buffer; }; struct BBox { float x1, y1, x2, y2; }; template void readPPMFile(const std::string& filename, samplesCommon::PPM& ppm) { ppm.fileName = filename; std::ifstream infile(filename, std::ifstream::binary); assert(infile.is_open() && "Attempting to read from a file that is not open."); infile >> ppm.magic >> ppm.w >> ppm.h >> ppm.max; infile.seekg(1, infile.cur); infile.read(reinterpret_cast(ppm.buffer), ppm.w * ppm.h * 3); } inline void readPPMFile(const std::string& filename, vPPM& ppm, std::vector& input_dir) { ppm.fileName = filename; std::ifstream infile(locateFile(filename, input_dir), std::ifstream::binary); infile >> ppm.magic >> ppm.w >> ppm.h >> ppm.max; infile.seekg(1, infile.cur); for (int i = 0; i < ppm.w * ppm.h * 3; ++i) { ppm.buffer.push_back(0); } infile.read(reinterpret_cast(&ppm.buffer[0]), ppm.w * ppm.h * 3); } template void writePPMFileWithBBox(const std::string& filename, PPM& ppm, const BBox& bbox) { std::ofstream outfile("./" + filename, std::ofstream::binary); assert(!outfile.fail()); outfile << "P6" << "\n" << ppm.w << " " << ppm.h << "\n" << ppm.max << "\n"; auto round = [](float x) -> int { return int(std::floor(x + 0.5F)); }; const int x1 = std::min(std::max(0, round(int(bbox.x1))), W - 1); const int x2 = std::min(std::max(0, round(int(bbox.x2))), W - 1); const int y1 = std::min(std::max(0, round(int(bbox.y1))), H - 1); const int y2 = std::min(std::max(0, round(int(bbox.y2))), H - 1); for (int x = x1; x <= x2; ++x) { // bbox top border ppm.buffer[(y1 * ppm.w + x) * 3] = 255; ppm.buffer[(y1 * ppm.w + x) * 3 + 1] = 0; ppm.buffer[(y1 * ppm.w + x) * 3 + 2] = 0; // bbox bottom border ppm.buffer[(y2 * ppm.w + x) * 3] = 255; ppm.buffer[(y2 * ppm.w + x) * 3 + 1] = 0; ppm.buffer[(y2 * ppm.w + x) * 3 + 2] = 0; } for (int y = y1; y <= y2; ++y) { // bbox left border ppm.buffer[(y * ppm.w + x1) * 3] = 255; ppm.buffer[(y * ppm.w + x1) * 3 + 1] = 0; ppm.buffer[(y * ppm.w + x1) * 3 + 2] = 0; // bbox right border ppm.buffer[(y * ppm.w + x2) * 3] = 255; ppm.buffer[(y * ppm.w + x2) * 3 + 1] = 0; ppm.buffer[(y * ppm.w + x2) * 3 + 2] = 0; } outfile.write(reinterpret_cast(ppm.buffer), ppm.w * ppm.h * 3); } inline void writePPMFileWithBBox(const std::string& filename, vPPM ppm, std::vector& dets) { std::ofstream outfile("./" + filename, std::ofstream::binary); assert(!outfile.fail()); outfile << "P6" << "\n" << ppm.w << " " << ppm.h << "\n" << ppm.max << "\n"; auto round = [](float x) -> int { return int(std::floor(x + 0.5F)); }; for (auto bbox : dets) { for (int x = int(bbox.x1); x < int(bbox.x2); ++x) { // bbox top border ppm.buffer[(round(bbox.y1) * ppm.w + x) * 3] = 255; ppm.buffer[(round(bbox.y1) * ppm.w + x) * 3 + 1] = 0; ppm.buffer[(round(bbox.y1) * ppm.w + x) * 3 + 2] = 0; // bbox bottom border ppm.buffer[(round(bbox.y2) * ppm.w + x) * 3] = 255; ppm.buffer[(round(bbox.y2) * ppm.w + x) * 3 + 1] = 0; ppm.buffer[(round(bbox.y2) * ppm.w + x) * 3 + 2] = 0; } for (int y = int(bbox.y1); y < int(bbox.y2); ++y) { // bbox left border ppm.buffer[(y * ppm.w + round(bbox.x1)) * 3] = 255; ppm.buffer[(y * ppm.w + round(bbox.x1)) * 3 + 1] = 0; ppm.buffer[(y * ppm.w + round(bbox.x1)) * 3 + 2] = 0; // bbox right border ppm.buffer[(y * ppm.w + round(bbox.x2)) * 3] = 255; ppm.buffer[(y * ppm.w + round(bbox.x2)) * 3 + 1] = 0; ppm.buffer[(y * ppm.w + round(bbox.x2)) * 3 + 2] = 0; } } outfile.write(reinterpret_cast(&ppm.buffer[0]), ppm.w * ppm.h * 3); } class TimerBase { public: virtual void start() {} virtual void stop() {} float microseconds() const noexcept { return mMs * 1000.F; } float milliseconds() const noexcept { return mMs; } float seconds() const noexcept { return mMs / 1000.F; } void reset() noexcept { mMs = 0.F; } protected: float mMs{0.0F}; }; class GpuTimer : public TimerBase { public: explicit GpuTimer(cudaStream_t stream) : mStream(stream) { CHECK(cudaEventCreate(&mStart)); CHECK(cudaEventCreate(&mStop)); } ~GpuTimer() { CHECK(cudaEventDestroy(mStart)); CHECK(cudaEventDestroy(mStop)); } void start() override { CHECK(cudaEventRecord(mStart, mStream)); } void stop() override { CHECK(cudaEventRecord(mStop, mStream)); float ms{0.0F}; CHECK(cudaEventSynchronize(mStop)); CHECK(cudaEventElapsedTime(&ms, mStart, mStop)); mMs += ms; } private: cudaEvent_t mStart, mStop; cudaStream_t mStream; }; // class GpuTimer template class CpuTimer : public TimerBase { public: using clock_type = Clock; void start() override { mStart = Clock::now(); } void stop() override { mStop = Clock::now(); mMs += std::chrono::duration{mStop - mStart}.count(); } private: std::chrono::time_point mStart, mStop; }; // class CpuTimer using PreciseCpuTimer = CpuTimer; inline std::vector splitString(std::string str, char delimiter = ',') { std::vector splitVect; std::stringstream ss(str); std::string substr; while (ss.good()) { getline(ss, substr, delimiter); splitVect.emplace_back(std::move(substr)); } return splitVect; } inline int getC(nvinfer1::Dims const& d) { return d.nbDims >= 3 ? d.d[d.nbDims - 3] : 1; } inline int getH(const nvinfer1::Dims& d) { return d.nbDims >= 2 ? d.d[d.nbDims - 2] : 1; } inline int getW(const nvinfer1::Dims& d) { return d.nbDims >= 1 ? d.d[d.nbDims - 1] : 1; } //! Platform-agnostic wrapper around dynamic libraries. class DynamicLibrary { public: explicit DynamicLibrary(std::string name) : mLibName{std::move(name)} { #if defined(_WIN32) mHandle = LoadLibraryA(mLibName.c_str()); #else // defined(_WIN32) int32_t flags{RTLD_LAZY}; #if ENABLE_ASAN // https://github.com/google/sanitizers/issues/89 // asan doesn't handle module unloading correctly and there are no plans on doing // so. In order to get proper stack traces, don't delete the shared library on // close so that asan can resolve the symbols correctly. flags |= RTLD_NODELETE; #endif // ENABLE_ASAN mHandle = dlopen(mLibName.c_str(), flags); #endif // defined(_WIN32) if (mHandle == nullptr) { std::string errorStr{}; #if !defined(_WIN32) errorStr = std::string{" due to "} + std::string{dlerror()}; #endif throw std::runtime_error("Unable to open library: " + mLibName + errorStr); } } DynamicLibrary(DynamicLibrary const&) = delete; DynamicLibrary(DynamicLibrary const&&) = delete; //! \return a pointer to a symbol from the DynamicLibrary with the given function signature. //! //! \throw std::invalid_argument if loading the symbol failed. //! //! \note Type checking is not possible, so if `Signature` is incorrect, the behavior is undefined. template [[nodiscard]] Signature& symbolAddress(char const* name) const { static_assert(std::is_function_v, "Signature must be a function type."); if (mHandle == nullptr) { throw std::runtime_error("Handle to library is nullptr."); } void* const ret = #if defined(_MSC_VER) static_cast(GetProcAddress(static_cast(mHandle), name)); #else dlsym(mHandle, name); #endif if (ret == nullptr) { throw std::invalid_argument(mLibName + ": error loading symbol: " + std::string(name)); } return *reinterpret_cast(ret); } ~DynamicLibrary() { try { #if defined(_WIN32) ASSERT(static_cast(FreeLibrary(static_cast(mHandle)))); #else ASSERT(dlclose(mHandle) == 0); #endif } catch (...) { sample::gLogError << "Unable to close library: " << mLibName << std::endl; } } private: std::string mLibName{}; //!< Name of the DynamicLibrary void* mHandle{}; //!< Handle to the DynamicLibrary }; [[nodiscard]] inline std::unique_ptr loadLibrary(std::string name) { return std::make_unique(std::move(name)); } //! Represents the compute capability of a device. //! This pertains to virtual architectures represented by the intermediate PTX format. //! This is distinct from the SM version. //! See https://forums.developer.nvidia.com/t/how-should-i-use-correctly-the-sm-xx-and-compute-xx/219160 struct ComputeCapability { int32_t major{}; int32_t minor{}; //! \return the compute capability of the CUDA device with the given \p deviceIndex. [[nodiscard]] static ComputeCapability forDevice(int32_t deviceIndex) { int32_t major{0}; int32_t minor{0}; CHECK(cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, deviceIndex)); CHECK(cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, deviceIndex)); // Redirect 12.1 to 12.0 to since dependencies do not support 12.1 yet and 12.1 can reuse 12.0 cubins to save // lib size/compile time.. if (major == 12 && minor == 1) { minor = 0; } return {major, minor}; } }; inline int32_t getSmVersion() { int32_t deviceIndex = 0; CHECK(cudaGetDevice(&deviceIndex)); auto const cc = ComputeCapability::forDevice(deviceIndex); return ((cc.major << 8) | cc.minor); } inline bool isSmSafe() { int32_t const smVersion = getSmVersion(); return smVersion == 0x0705 || smVersion == 0x0800 || smVersion == 0x0806 || smVersion == 0x0807 || smVersion == 0x0A00 || smVersion == 0x0B00; } inline int32_t getMaxPersistentCacheSize() { int32_t deviceIndex{}; CHECK(cudaGetDevice(&deviceIndex)); int32_t maxPersistentL2CacheSize{}; #if CUDART_VERSION >= 11030 CHECK(cudaDeviceGetAttribute(&maxPersistentL2CacheSize, cudaDevAttrMaxPersistingL2CacheSize, deviceIndex)); #endif return maxPersistentL2CacheSize; } } // namespace samplesCommon inline std::ostream& operator<<(std::ostream& os, const nvinfer1::Dims& dims) { os << "("; for (int i = 0; i < dims.nbDims; ++i) { os << (i ? ", " : "") << dims.d[i]; } return os << ")"; } [[nodiscard]] inline std::string genFilenameSafeString(std::string_view s) { std::string_view const kALLOWED{"._-,"}; constexpr size_t kMAX_FILENAME_LENGTH = 150; // Leave some margin due to Windows path length limitation constexpr size_t kELLIPSIS_LENGTH = 3; // Length of "..." auto processChar = [&kALLOWED](char c) { return std::isalnum(static_cast(c)) || kALLOWED.find(c) != std::string_view::npos ? c : '_'; }; std::string res; if (s.length() <= kMAX_FILENAME_LENGTH) { res.reserve(s.size()); std::transform(s.begin(), s.end(), std::back_inserter(res), processChar); return res; } res.reserve(kMAX_FILENAME_LENGTH); size_t const halfLength = (kMAX_FILENAME_LENGTH - kELLIPSIS_LENGTH) / 2; std::transform(s.begin(), s.begin() + halfLength, std::back_inserter(res), processChar); res += "..."; std::transform(s.end() - halfLength, s.end(), std::back_inserter(res), processChar); return res; } #endif // TENSORRT_COMMON_H