mirror of https://github.com/alibaba/MNN.git
44 lines
1.2 KiB
C++
44 lines
1.2 KiB
C++
//
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// LayerNormExecution.hpp
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// MNN
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//
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// Created by MNN on 2023/07/05.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef LayerNormExecution_hpp
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#define LayerNormExecution_hpp
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#include "CommonExecution.hpp"
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namespace MNN {
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namespace OpenCL {
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struct LayernormResource {
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std::shared_ptr<cl::Buffer> mGammaBuffer;
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std::shared_ptr<cl::Buffer> mBetaBuffer;
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bool has_gamma_beta_ = false;
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uint32_t mMaxWorkGroupSize;
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int axis_size ;
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int group_ ;
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float epsilon_;
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bool RMSNorm;
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};
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class LayerNormExecution : public CommonExecution {
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public:
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LayerNormExecution(const std::vector<Tensor *> &inputs, const MNN::Op *op, Backend *backend);
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LayerNormExecution(std::shared_ptr<LayernormResource> resource, const Op* op, Backend* backend);
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virtual ~LayerNormExecution() = default;
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virtual ErrorCode onEncode(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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int getLocalSize(int size, int maxGroupSize);
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OpenCLBackend *mOpenCLBackend;
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std::shared_ptr<LayernormResource> mResource;
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};
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} // namespace OpenCL
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} // namespace MNN
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#endif /* LayerNormExecution_hpp */
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