Fixed #15 memory leak by introducing virtual function into all operation base classes to ensure the dependent class destructors are called
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d4cc61817e
commit
5be21da7c2
9 changed files with 114 additions and 35 deletions
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@ -5,13 +5,15 @@ set(CMAKE_CXX_STANDARD 17)
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set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
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set(CMAKE_CXX_FLAGS_DEBUG "-DDEBUG=1")
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set(CMAKE_CXX_FLAGS_RELEASE "-DRELEASE=1")
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set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -DDEBUG=1")
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set(CMAKE_CXX_FLAGS_RELEASE "{CMAKE_CXX_FLAGS_RELEASE} -DRELEASE=1")
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set(CMAKE_VERBOSE_MAKEFILE on)
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option(KOMPUTE_OPT_BUILD_TESTS "Enable if you want to build tests" ON)
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option(KOMPUTE_OPT_BUILD_DOCS "Enable if you want to build documentation" ON)
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option(KOMPUTE_OPT_DEBUG_SYMBOLS "Enable if you want to build debug with symbols" 0)
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# Allow scripts to call main kompute Makefile
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function(kompute_make KOMPUTE_MAKE_TARGET)
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@ -392,7 +392,7 @@ class OpBase
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* intended to destroy the resources in the parent class. This can be done
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* by passing the mFreeTensors=false.
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*/
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~OpBase()
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virtual ~OpBase()
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{
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SPDLOG_DEBUG("Kompute OpBase destructor started");
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@ -849,7 +849,7 @@ class OpAlgoBase : public OpBase
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* Default destructor, which is in charge of destroying the algorithm
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* components but does not destroy the underlying tensors
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*/
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~OpAlgoBase();
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virtual ~OpAlgoBase() override;
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/**
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* The init function is responsible for the initialisation of the algorithm
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@ -1057,12 +1057,19 @@ std::vector<char> OpAlgoBase<tX, tY, tZ>::fetchSpirvBinaryData()
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std::ifstream fileStream(this->mOptSpirvBinPath,
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std::ios::binary | std::ios::in | std::ios::ate);
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if (!fileStream.good()) {
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throw std::runtime_error("Error reading file: " + this->mOptSpirvBinPath);
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}
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size_t shaderFileSize = fileStream.tellg();
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fileStream.seekg(0, std::ios::beg);
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char* shaderDataRaw = new char[shaderFileSize];
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fileStream.read(shaderDataRaw, shaderFileSize);
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fileStream.close();
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SPDLOG_WARN(
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"Kompute OpAlgoBase fetched {} bytes", shaderFileSize);
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return std::vector<char>(shaderDataRaw,
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shaderDataRaw + shaderFileSize);
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}
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@ -1112,7 +1119,7 @@ class OpAlgoLhsRhsOut : public OpAlgoBase<tX, tY, tZ>
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* Default destructor, which is in charge of destroying the algorithm
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* components but does not destroy the underlying tensors
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*/
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~OpAlgoLhsRhsOut();
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virtual ~OpAlgoLhsRhsOut() override;
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/**
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* The init function is responsible for ensuring that all of the tensors
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@ -1357,7 +1364,7 @@ class OpMult : public OpAlgoBase<tX, tY, tZ>
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* Default destructor, which is in charge of destroying the algorithm
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* components but does not destroy the underlying tensors
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*/
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~OpMult() {
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~OpMult() override {
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SPDLOG_DEBUG("Kompute OpMult destructor started");
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}
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@ -1396,7 +1403,7 @@ class OpCreateTensor : public OpBase
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* Default destructor which in this case expects the parent class to free
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* the tensors
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*/
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~OpCreateTensor();
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~OpCreateTensor() override;
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/**
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* In charge of initialising the primary Tensor as well as the staging
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@ -27,6 +27,62 @@ Algorithm::~Algorithm()
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"Kompute Algorithm destructor reached with null Device pointer");
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return;
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}
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if (this->mFreePipeline) {
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SPDLOG_DEBUG("Kompute Algorithm Destroying pipeline");
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if (!this->mPipeline) {
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SPDLOG_ERROR("Kompute Algorithm Error requested to destroy pipeline but it is null");
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}
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this->mDevice->destroy(*this->mPipeline);
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}
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if (this->mFreePipelineCache) {
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SPDLOG_DEBUG("Kompute Algorithm Destroying pipeline cache");
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if (!this->mPipelineCache) {
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SPDLOG_ERROR("Kompute Algorithm Error requested to destroy pipeline cache but it is null");
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}
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this->mDevice->destroy(*this->mPipelineCache);
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}
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if (this->mFreePipelineLayout) {
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SPDLOG_DEBUG("Kompute Algorithm Destroying pipeline layout");
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if (!this->mPipelineLayout) {
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SPDLOG_ERROR("Kompute Algorithm Error requested to destroy pipeline layout but it is null");
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}
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this->mDevice->destroy(*this->mPipelineLayout);
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}
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if (this->mFreeShaderModule) {
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SPDLOG_DEBUG("Kompute Algorithm Destroying shader module");
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if (!this->mShaderModule) {
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SPDLOG_ERROR("Kompute Algorithm Error requested to destroy shader module but it is null");
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}
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this->mDevice->destroy(*this->mShaderModule);
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}
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if (this->mFreeDescriptorSet) {
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SPDLOG_DEBUG("Kompute Algorithm Freeing Descriptor Set");
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if (!this->mDescriptorSet) {
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SPDLOG_ERROR("Kompute Algorithm Error requested to free descriptor set");
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}
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this->mDevice->freeDescriptorSets(*this->mDescriptorPool, 1, this->mDescriptorSet.get());
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}
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if (this->mFreeDescriptorSetLayout) {
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SPDLOG_DEBUG("Kompute Algorithm Destroying Descriptor Set Layout");
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if (!this->mDescriptorSetLayout) {
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SPDLOG_ERROR("Kompute Algorithm Error requested to destroy descriptor set layout but it is null");
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}
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this->mDevice->destroy(*this->mDescriptorSetLayout);
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}
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if (this->mFreeDescriptorPool) {
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SPDLOG_DEBUG("Kompute Algorithm Destroying Descriptor Pool");
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if (!this->mDescriptorPool) {
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SPDLOG_ERROR("Kompute Algorithm Error requested to destroy descriptor pool but it is null");
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}
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this->mDevice->destroy(*this->mDescriptorPool);
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}
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}
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void
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@ -99,6 +155,7 @@ Algorithm::createParameters(std::vector<std::shared_ptr<Tensor>>& tensorParams)
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this->mDescriptorSetLayout = std::make_shared<vk::DescriptorSetLayout>();
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this->mDevice->createDescriptorSetLayout(
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&descriptorSetLayoutInfo, nullptr, this->mDescriptorSetLayout.get());
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this->mFreeDescriptorSetLayout = true;
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vk::DescriptorSetAllocateInfo descriptorSetAllocateInfo(
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*this->mDescriptorPool,
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@ -109,6 +166,7 @@ Algorithm::createParameters(std::vector<std::shared_ptr<Tensor>>& tensorParams)
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this->mDescriptorSet = std::make_shared<vk::DescriptorSet>();
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this->mDevice->allocateDescriptorSets(&descriptorSetAllocateInfo,
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this->mDescriptorSet.get());
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this->mFreeDescriptorSet = true;
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// TODO: Explore design exposing the destination array element
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for (size_t i = 0; i < tensorParams.size(); i++) {
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@ -153,6 +211,7 @@ Algorithm::createShaderModule(const std::vector<char>& shaderFileData)
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this->mShaderModule = std::make_shared<vk::ShaderModule>();
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this->mDevice->createShaderModule(
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&shaderModuleInfo, nullptr, this->mShaderModule.get());
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this->mFreeShaderModule = true;
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SPDLOG_DEBUG("Kompute Algorithm create shader module success");
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}
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@ -171,6 +230,7 @@ Algorithm::createPipeline(std::vector<uint32_t> specializationData)
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this->mPipelineLayout = std::make_shared<vk::PipelineLayout>();
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this->mDevice->createPipelineLayout(
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&pipelineLayoutInfo, nullptr, this->mPipelineLayout.get());
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this->mFreePipelineLayout = true;
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std::vector<vk::SpecializationMapEntry> specializationEntries;
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@ -203,15 +263,16 @@ Algorithm::createPipeline(std::vector<uint32_t> specializationData)
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0);
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// TODO: Confirm what the best structure is with pipeline cache
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this->mFreePipelineCache = true;
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vk::PipelineCacheCreateInfo pipelineCacheInfo =
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vk::PipelineCacheCreateInfo();
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this->mPipelineCache = std::make_shared<vk::PipelineCache>();
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this->mDevice->createPipelineCache(
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&pipelineCacheInfo, nullptr, this->mPipelineCache.get());
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this->mFreePipelineCache = true;
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vk::ResultValue<vk::Pipeline> pipelineResult =
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this->mDevice->createComputePipeline(*this->mPipelineCache, pipelineInfo);
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this->mFreePipeline = true;
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if (pipelineResult.result != vk::Result::eSuccess) {
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throw std::runtime_error("Failed to create pipeline result: " +
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@ -61,7 +61,7 @@ class OpAlgoBase : public OpBase
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* Default destructor, which is in charge of destroying the algorithm
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* components but does not destroy the underlying tensors
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*/
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~OpAlgoBase();
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virtual ~OpAlgoBase() override;
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/**
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* The init function is responsible for the initialisation of the algorithm
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@ -269,12 +269,19 @@ std::vector<char> OpAlgoBase<tX, tY, tZ>::fetchSpirvBinaryData()
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std::ifstream fileStream(this->mOptSpirvBinPath,
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std::ios::binary | std::ios::in | std::ios::ate);
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if (!fileStream.good()) {
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throw std::runtime_error("Error reading file: " + this->mOptSpirvBinPath);
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}
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size_t shaderFileSize = fileStream.tellg();
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fileStream.seekg(0, std::ios::beg);
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char* shaderDataRaw = new char[shaderFileSize];
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fileStream.read(shaderDataRaw, shaderFileSize);
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fileStream.close();
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SPDLOG_WARN(
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"Kompute OpAlgoBase fetched {} bytes", shaderFileSize);
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return std::vector<char>(shaderDataRaw,
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shaderDataRaw + shaderFileSize);
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}
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@ -48,7 +48,7 @@ class OpAlgoLhsRhsOut : public OpAlgoBase<tX, tY, tZ>
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* Default destructor, which is in charge of destroying the algorithm
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* components but does not destroy the underlying tensors
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*/
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~OpAlgoLhsRhsOut();
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virtual ~OpAlgoLhsRhsOut() override;
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/**
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* The init function is responsible for ensuring that all of the tensors
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@ -54,7 +54,7 @@ class OpBase
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* intended to destroy the resources in the parent class. This can be done
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* by passing the mFreeTensors=false.
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*/
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~OpBase()
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virtual ~OpBase()
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{
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SPDLOG_DEBUG("Kompute OpBase destructor started");
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@ -37,7 +37,7 @@ class OpCreateTensor : public OpBase
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* Default destructor which in this case expects the parent class to free
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* the tensors
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*/
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~OpCreateTensor();
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~OpCreateTensor() override;
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/**
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* In charge of initialising the primary Tensor as well as the staging
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@ -84,7 +84,7 @@ class OpMult : public OpAlgoBase<tX, tY, tZ>
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* Default destructor, which is in charge of destroying the algorithm
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* components but does not destroy the underlying tensors
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*/
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~OpMult() {
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~OpMult() override {
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SPDLOG_DEBUG("Kompute OpMult destructor started");
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}
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@ -9,35 +9,37 @@ TEST_CASE("End to end OpMult Flow should execute correctly from manager") {
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spdlog::info("TEST CASE STARTING");
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spdlog::info("Creating manager");
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kp::Manager mgr;
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{
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kp::Manager mgr;
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spdlog::info("Creating first tensor");
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std::shared_ptr<kp::Tensor> tensorLHS{ new kp::Tensor( { 0, 1, 2 }) };
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mgr.evalOp<kp::OpCreateTensor>({ tensorLHS });
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spdlog::info("Creating first tensor");
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std::shared_ptr<kp::Tensor> tensorLHS{ new kp::Tensor({ 0, 1, 2 }) };
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mgr.evalOp<kp::OpCreateTensor>({ tensorLHS });
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spdlog::info("Creating second tensor");
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std::shared_ptr<kp::Tensor> tensorRHS{ new kp::Tensor(
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{ 2, 4, 6 }) };
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mgr.evalOp<kp::OpCreateTensor>({ tensorRHS });
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spdlog::info("Creating second tensor");
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std::shared_ptr<kp::Tensor> tensorRHS{ new kp::Tensor(
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{ 2, 4, 6 }) };
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mgr.evalOp<kp::OpCreateTensor>({ tensorRHS });
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// TODO: Add capabilities for just output tensor types
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spdlog::info("Creating output tensor");
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std::shared_ptr<kp::Tensor> tensorOutput{ new kp::Tensor(
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{ 0, 0, 0 }) };
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mgr.evalOp<kp::OpCreateTensor>({ tensorOutput });
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// TODO: Add capabilities for just output tensor types
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spdlog::info("Creating output tensor");
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std::shared_ptr<kp::Tensor> tensorOutput{ new kp::Tensor(
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{ 0, 0, 0 }) };
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mgr.evalOp<kp::OpCreateTensor>({ tensorOutput });
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spdlog::info("OpCreateTensor success for tensors");
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spdlog::info("Tensor one: {}", tensorLHS->data());
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spdlog::info("Tensor two: {}", tensorRHS->data());
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spdlog::info("Tensor output: {}", tensorOutput->data());
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spdlog::info("OpCreateTensor success for tensors");
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spdlog::info("Tensor one: {}", tensorLHS->data());
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spdlog::info("Tensor two: {}", tensorRHS->data());
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spdlog::info("Tensor output: {}", tensorOutput->data());
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spdlog::info("Calling op mult");
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mgr.evalOp<kp::OpMult<>>({ tensorLHS, tensorRHS, tensorOutput });
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spdlog::info("Calling op mult");
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mgr.evalOp<kp::OpMult<>>({ tensorLHS, tensorRHS, tensorOutput });
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spdlog::info("OpMult call success");
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spdlog::info("Tensor output: {}", tensorOutput->data());
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spdlog::info("OpMult call success");
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spdlog::info("Tensor output: {}", tensorOutput->data());
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REQUIRE(tensorOutput->data() == std::vector<uint32_t>{0, 4, 12});
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REQUIRE(tensorOutput->data() == std::vector<uint32_t>{0, 4, 12});
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}
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spdlog::info("Called manager eval success END PROGRAM");
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}
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