2019-04-17 10:49:11 +08:00
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//
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// MetalBackend.hpp
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// MNN
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//
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// Created by MNN on 2019/01/30.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef MetalBackend_hpp
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#define MetalBackend_hpp
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2019-12-27 22:16:57 +08:00
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#include "core/Backend.hpp"
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2019-04-17 10:49:11 +08:00
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#include "MNN_generated.h"
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#include "MetalDefine.h"
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#if MNN_METAL_ENABLED
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namespace MNN {
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/** Metal backend */
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class MetalBackend final : public Backend {
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public:
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/** Metal execution creator */
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class Creator {
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public:
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/**
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* @brief create execution for given input, op on metal backend.
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* @param inputs given input tensors.
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* @param op given op.
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* @param backend metal backend.
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* @return created execution if supported, NULL otherwise.
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*/
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- dynamic computation graph (beta)
- add supports (/express)
- add tests
- add benchmarks with it (/benchmark/exprModels)
- Python
- MNN engine and tools were submitted to pip
- available on Windows/macOS/Linux
- Engine/Converter
- add supports for each op benchmarking
- refactor optimizer by separating steps
- CPU
- add supports for Conv3D, Pool3D, ELU, ReverseSequence
- fix ArgMax, Permute, Scale, BinaryOp, Slice, SliceTf
- OpenCL
- add half transform in CPU
- add broadcast supports for binary
- optimize Conv2D, Reshape, Eltwise, Gemm, etc.
- OpenGL
- add sub, real div supports for binary
- add supports for unary
- optimize Conv2D, Reshape
- Vulkan
- add max supports for eltwise
- Metal
- fix metallib missing problem
- Train/Quantization
- use express to refactor training codes
2019-09-26 21:02:07 +08:00
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virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const MNN::Op *op, Backend *backend) const = 0;
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2019-04-17 10:49:11 +08:00
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};
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/**
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* @brief register creator for given op type.
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* @param type given op type.
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* @param creator registering creator.
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*/
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static void addCreator(OpType type, Creator *creator);
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public:
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MetalBackend();
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virtual ~MetalBackend();
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virtual bool onAcquireBuffer(const Tensor *Tensor, StorageType storageType) override;
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virtual bool onReleaseBuffer(const Tensor *Tensor, StorageType storageType) override;
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virtual bool onAllocateBuffer() override;
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virtual bool onClearBuffer() override;
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virtual void onCopyBuffer(const Tensor *srcTensor, const Tensor *dstTensor) const override;
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virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
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const MNN::Op *op) override;
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virtual void onExecuteBegin() const override;
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virtual void onExecuteEnd() const override;
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virtual bool onWaitFinish() override;
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- dynamic computation graph (beta)
- add supports (/express)
- add tests
- add benchmarks with it (/benchmark/exprModels)
- Python
- MNN engine and tools were submitted to pip
- available on Windows/macOS/Linux
- Engine/Converter
- add supports for each op benchmarking
- refactor optimizer by separating steps
- CPU
- add supports for Conv3D, Pool3D, ELU, ReverseSequence
- fix ArgMax, Permute, Scale, BinaryOp, Slice, SliceTf
- OpenCL
- add half transform in CPU
- add broadcast supports for binary
- optimize Conv2D, Reshape, Eltwise, Gemm, etc.
- OpenGL
- add sub, real div supports for binary
- add supports for unary
- optimize Conv2D, Reshape
- Vulkan
- add max supports for eltwise
- Metal
- fix metallib missing problem
- Train/Quantization
- use express to refactor training codes
2019-09-26 21:02:07 +08:00
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virtual std::pair<float, bool> onMeasure(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
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const MNN::Op* op) override;
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2019-04-17 10:49:11 +08:00
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public:
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/**
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* @brief get metal context object
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* @return metal context object pointer
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*/
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void *context();
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/**
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* @brief copy buffer content to dest tensor
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* @param srcTensor source tensor
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* @param dstTensor destined tensor
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* @param encoder command encoder
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*/
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virtual void onCopyBuffer(const Tensor *srcTensor, const Tensor *dstTensor,
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id<MTLComputeCommandEncoder> encoder) const;
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private:
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void *mContext = nil;
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std::map<void *, size_t> mStaticBuffers;
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std::map<void *, size_t> mDynamicBuffers;
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2019-06-17 20:10:35 +08:00
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std::map<void *, size_t> mSeparatedBuffers;
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2019-04-17 10:49:11 +08:00
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std::multimap<size_t, uint64_t> mReusableBuffers;
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mutable id<MTLBuffer> mHostBuffer = nil;
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private:
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id<MTLBuffer> getHostBuffer(size_t size) const;
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void onCopyHostToDevice(const Tensor *src, const Tensor *dst) const;
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void onCopyDeviceToHost(const Tensor *src, const Tensor *dst) const;
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void onCopyDeviceToDevice(const Tensor *src, const Tensor *dst, id<MTLComputeCommandEncoder> encoder) const;
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};
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/** Metal creator register */
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template <class T>
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class MetalCreatorRegister {
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public:
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/**
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* @brief initializer. register T creator for given op type.
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* @param type given op type.
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*/
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MetalCreatorRegister(OpType type) {
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T *test = new T;
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MetalBackend::addCreator(type, test);
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}
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};
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} // namespace MNN
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2019-05-08 15:44:57 +08:00
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#define REGISTER_METAL_OP_CREATOR(name, opType) \
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void ___##name##__##opType##__() { \
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MetalBackend::addCreator(opType, new name); \
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}
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2019-04-17 10:49:11 +08:00
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#endif /* MNN_METAL_ENABLED */
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#endif /* MetalBackend_hpp */
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