mirror of https://github.com/alibaba/MNN.git
74 lines
2.0 KiB
C++
74 lines
2.0 KiB
C++
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//
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// OpenCLRuntime.hpp
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// MNN
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//
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// Created by MNN on 2019/01/31.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef OpenCLRuntime_hpp
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#define OpenCLRuntime_hpp
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#include <map>
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#include <memory>
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#include <mutex>
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#include <set>
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#include <string>
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#include <vector>
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#include <sstream>
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#include <string>
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#include <vector>
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#include "Macro.h"
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#include "Type_generated.h"
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#include "core/runtime/OpenCLWrapper.hpp"
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namespace MNN {
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enum GpuType { MALI = 0, ADRENO = 1, OTHER = 2 };
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class OpenCLRuntime {
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public:
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OpenCLRuntime(bool permitFloat16);
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~OpenCLRuntime();
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OpenCLRuntime(const OpenCLRuntime &) = delete;
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OpenCLRuntime &operator=(const OpenCLRuntime &) = delete;
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bool isSupportedFP16() const;
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::cl::Context &context();
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::cl::CommandQueue &commandQueue();
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uint64_t deviceGlobalMemeryCacheSize() const;
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uint32_t deviceComputeUnits() const;
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uint32_t maxFreq() const;
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uint64_t getMaxWorkGroupSize(const ::cl::Kernel &kernel);
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GpuType getGpuType();
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uint64_t maxAllocSize() const;
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::cl::Kernel buildKernel(const std::string &programName, const std::string &kernelName,
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const std::set<std::string> &buildOptions);
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std::vector<size_t> getMaxImage2DSize();
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private:
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bool loadProgram(const std::string &programName, cl::Program *program);
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bool buildProgram(const std::string &buildOptionsStr, cl::Program *program);
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bool getDeviceSupportsExtension(const cl::Device &device, const char *extensionName);
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private:
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std::shared_ptr<::cl::Context> mContext;
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std::shared_ptr<::cl::Device> mFirstGPUDevicePtr;
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std::shared_ptr<::cl::CommandQueue> mCommandQueuePtr;
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std::map<std::string, ::cl::Program> mBuildProgramMap;
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uint64_t mGPUGlobalMemeryCacheSize;
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uint32_t mGPUComputeUnits;
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uint32_t mMaxFreq;
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uint32_t mMaxMemAllocSize;
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bool mIsSupportedFP16 = false;
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GpuType mGpuType;
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std::string mDefaultBuildParams;
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};
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} // namespace MNN
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#endif /* OpenCLRuntime_hpp */
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