mirror of https://github.com/alibaba/MNN.git
83 lines
2.9 KiB
C++
83 lines
2.9 KiB
C++
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//
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// AttentionBufExecution.hpp
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// MNN
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//
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// Created by MNN on 2024/04/11.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef MNN_OPENCL_BUFFER_CLOSED
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#ifndef AttentionBufExecution_hpp
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#define AttentionBufExecution_hpp
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#include "backend/opencl/execution/image/CommonExecution.hpp"
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namespace MNN {
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namespace OpenCL {
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class AttentionBufImpl {
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public:
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AttentionBufImpl(const MNN::Op *op, Backend *backend, bool kv_cache);
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~AttentionBufImpl() {
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if(mRecording != NULL){
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#ifdef MNN_USE_LIB_WRAPPER
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clReleaseRecordingQCOM(mRecording);
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#endif
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}
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}
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ErrorCode onResize(Backend *backend, const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs);
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ErrorCode onExecute(Backend *backend, const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs);
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private:
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int getLocalSize(int size, int maxGroupSize);
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void allocKVCache();
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void reallocKVCache();
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bool mKVCache;
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float mScale;
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const int mExpandChunk = 64;
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bool mIsDecode = false;
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bool mIsFirstDecode = true;
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int mPastLength = 0, mMaxLength = 0, mKv_seq_len = 0, mSoftMaxRemainChannels = 0;
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std::shared_ptr<cl::Buffer> mPastKey, mPastValue, mTempQK, mTempSoftMax;
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int mNumHead = 0, mHeadDim = 0, mValueH = 0;
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std::shared_ptr<KernelWrap> mKernel_qk;
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std::shared_ptr<KernelWrap> mKernel_softmax;
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std::shared_ptr<KernelWrap> mKernel_qkv;
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std::vector<uint32_t> mGlobalWorkSizeQk{1, 1, 1};
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std::vector<uint32_t> mLocalWorkSizeQk{1, 1, 1, 1};
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std::vector<uint32_t> mGlobalWorkSizeSoftMax{1, 1, 1};
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std::vector<uint32_t> mLocalWorkSizeSoftMax{1, 1, 1, 1};
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std::vector<uint32_t> mGlobalWorkSizeQkv{1, 1, 1};
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std::vector<uint32_t> mLocalWorkSizeQkv{1, 1, 1, 1};
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uint32_t mMaxWorkGroupSize;
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OpenCLBackend *mOpenCLBackend;
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RecordUpdateInfo mQkUpdateInfo;
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RecordUpdateInfo mSoftMaxUpdateInfo;
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RecordUpdateInfo mQkvUpdateInfo;
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int mGlobalWorkSizeQk2 = 0;
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size_t mQkGlobal_size[3];
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int mSoftmaxShape[4];
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cl_recording_qcom mRecording{NULL};
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std::vector<RecordUpdateInfo*> mOpRecordUpdateInfo;
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};
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class AttentionBufExecution : public CommonExecution {
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public:
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AttentionBufExecution(const MNN::Op *op, Backend *backend, bool kv_cache);
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AttentionBufExecution(std::shared_ptr<AttentionBufImpl> impl, const MNN::Op *op, Backend *backend);
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virtual ~AttentionBufExecution() = default;
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virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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virtual bool onClone(Backend* bn, const Op* op, Execution** dst) override;
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private:
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std::shared_ptr<AttentionBufImpl> mImpl;
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};
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} // namespace OpenCL
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} // namespace MNN
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#endif /* AttentionBufExecution_hpp */
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#endif /* MNN_OPENCL_BUFFER_CLOSED */
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