wehub-resource-sync
159 lines
6.1 KiB
C++
159 lines
6.1 KiB
C++
//
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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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#ifdef MNN_SUPPORT_TRANSFORMER_FUSE
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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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#include "core/OpCommonUtils.hpp"
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namespace MNN {
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namespace OpenCL {
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class KVCacheCLManager {
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public:
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KVCacheCLManager(Backend* backend, bool kv_cache);
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~KVCacheCLManager() = default;
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void allocKVCache(const KVMeta* meta, int seqlen);
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bool reallocKVCache(const KVMeta* meta, int seqlen, bool isExecute = true);
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void setArgs(int numHead, int kvNumHead, int headDim) {
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mNumHead = numHead;
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mKvNumHead = kvNumHead;
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mHeadDim = headDim;
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}
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int pastKvLength() { return mPastLength; }
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void addKvLength(int seq_len) { mPastLength += seq_len; }
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int maxLength() { return mMaxLength; }
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int numHead() { return mNumHead; }
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const cl::Buffer* key() { return mPastKey.get(); }
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const cl::Buffer* value() { return mPastValue.get(); }
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// Called after allocKVCache completes reallocKVCache in resize phase.
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// onExecute checks this to avoid double-executing realloc/Remove.
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bool isReallocDone() const { return mReallocDone; }
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void clearReallocDone() { mReallocDone = false; }
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private:
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bool mKVCache;
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bool mReallocDone = false;
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const int mExpandChunk = 64;
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std::shared_ptr<cl::Buffer> mPastKey, mPastValue;
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int mPastLength = 0, mMaxLength = 0, mNumHead = 0, mKvNumHead = 0, mHeadDim = 0;
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OpenCLBackend* mOpenCLBackend;
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int mByte = 4;
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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 outputC4);
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AttentionBufExecution(std::shared_ptr<KVCacheCLManager> manager, const MNN::Op* op, Backend* backend);
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ErrorCode longPrefillResize(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs);
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ErrorCode prefillResize(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs);
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ErrorCode decodeResize(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs);
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ErrorCode UpdateArgs(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs);
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ErrorCode init();
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int getExecuteTime();
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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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bool mOutputC4 = false;
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float mAttnScale = 0.0f;
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KVMeta* mMeta;
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int getLocalSize(int size, int maxGroupSize);
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bool mIsDecode = false;
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void handleKVCache(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs);
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int mPastKvSeqlen = 0;
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int mKvSeqlen = 0;
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int mKeyValueMaxlen = 0;
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int mDecodeTmpMaxlen = 0;
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uint32_t mMaxWorkGroupSize;
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OpenCLBackend* mOpenCLBackend;
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RecordUpdateInfo mRgUpdateInfo;
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RecordUpdateInfo mRgQUpdateInfo;
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RecordUpdateInfo mRgMUpdateInfo;
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RecordUpdateInfo mQkUpdateInfo;
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RecordUpdateInfo mSoftMaxUpdateInfo;
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RecordUpdateInfo mRgVUpdateInfo;
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RecordUpdateInfo mQkvUpdateInfo;
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int mGlobalWorkSizeQk0 = 0;
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size_t mQkGlobal_size[2];
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size_t mQkPrefillGlobal_size[3];
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std::vector<RecordUpdateInfo*> mOpRecordUpdateInfo;
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std::shared_ptr<KVCacheCLManager> mKVCacheCLManager;
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std::shared_ptr<Tensor> mTempQK, mTempSoftMax;
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private:
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int mAlignQ, mAlignKV, mAlignHDK, mAlignHDN;
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bool mLongPrefill = false;
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int mQseqSplitNum = 1;
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std::shared_ptr<Tensor> mTempQ, mTempK, mTempV, mTempMask, mTempQKV;
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bool mIsAddMask = false;
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bool mNeedKvCache = true;
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bool mHasMask = false;
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private:
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std::vector<std::shared_ptr<KernelWrap>> mKernel_rearrange_vec;
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std::vector<std::shared_ptr<KernelWrap>> mKernel_mask_vec;
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std::vector<std::shared_ptr<KernelWrap>> mKernel_trans_vec;
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std::vector<std::shared_ptr<KernelWrap>> mKernel_clip_vec;
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std::vector<std::shared_ptr<KernelWrap>> mKernel_qk_vec;
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std::vector<std::shared_ptr<KernelWrap>> mKernel_softmax_vec;
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std::vector<std::shared_ptr<KernelWrap>> mKernel_qkv_vec;
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std::vector<std::vector<uint32_t>> mGwsQkVec;
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std::vector<std::vector<uint32_t>> mLwsQkVec;
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std::vector<std::vector<uint32_t>> mGwsSoftMaxVec;
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std::vector<std::vector<uint32_t>> mLwsSoftMaxVec;
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std::vector<std::vector<uint32_t>> mGwsQkvVec;
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std::vector<std::vector<uint32_t>> mLwsQkvVec;
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std::vector<std::vector<uint32_t>> mGwsRearrgVec;
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std::vector<std::vector<uint32_t>> mLwsRearrgVec;
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std::vector<std::vector<uint32_t>> mGwsMaskVec;
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std::vector<std::vector<uint32_t>> mLwsMaskVec;
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std::vector<std::vector<uint32_t>> mGwsTransVec;
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std::vector<std::vector<uint32_t>> mLwsTransVec;
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std::vector<std::vector<uint32_t>> mGwsClipVec;
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std::vector<std::vector<uint32_t>> mLwsClipVec;
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private:
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std::shared_ptr<KernelWrap> mKernel_rearrangeQ;
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std::shared_ptr<KernelWrap> mKernel_rearrangeV;
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std::shared_ptr<KernelWrap> mKernel_rearrangeMask;
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std::shared_ptr<KernelWrap> mKernel_rearrange;
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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;
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std::vector<uint32_t> mLocalWorkSizeQk;
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std::vector<uint32_t> mGlobalWorkSizeSoftMax;
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std::vector<uint32_t> mLocalWorkSizeSoftMax;
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std::vector<uint32_t> mGlobalWorkSizeQkv;
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std::vector<uint32_t> mLocalWorkSizeQkv;
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std::vector<uint32_t> mGlobalWorkSizeRearrgQ;
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std::vector<uint32_t> mLocalWorkSizeRearrgQ;
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std::vector<uint32_t> mGlobalWorkSizeRearrgV;
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std::vector<uint32_t> mLocalWorkSizeRearrgV;
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std::vector<uint32_t> mGlobalWorkSizeRearrg;
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std::vector<uint32_t> mLocalWorkSizeRearrg;
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std::vector<uint32_t> mGlobalWorkSizeRearrgM;
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std::vector<uint32_t> mLocalWorkSizeRearrgM;
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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_SUPPORT_TRANSFORMER_FUSE */
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