mirror of https://github.com/alibaba/MNN.git
53 lines
1.4 KiB
C++
53 lines
1.4 KiB
C++
//
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// LayerNormBufExecution.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 MNN_OPENCL_BUFFER_CLOSED
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#ifndef LayerNormBufExecution_hpp
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#define LayerNormBufExecution_hpp
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#include <array>
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#include <memory>
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#include <vector>
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#include "core/Execution.hpp"
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#include "backend/opencl/core/OpenCLBackend.hpp"
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#include "backend/opencl/core/OpenCLRunningUtils.hpp"
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namespace MNN {
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namespace OpenCL {
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class LayerNormBufExecution : public Execution {
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public:
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LayerNormBufExecution(const std::vector<Tensor *> &inputs, const MNN::Op *op, Backend *backend);
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virtual ~LayerNormBufExecution() = default;
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virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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private:
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int getLocalSize(int size, int maxGroupSize);
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cl::Kernel mKernel;
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std::vector<uint32_t> mLWS{0, 0, 0, 0};
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std::vector<uint32_t> mGWS{0, 0, 0, 0};
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OpenCLBackend *mOpenCLBackend;
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int axis_size = 0;
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int group_ = 1;
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float epsilon_ = 0.001;
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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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};
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} // namespace OpenCL
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} // namespace MNN
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#endif /* LayerNormBufExecution_hpp */
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#endif /* MNN_OPENCL_BUFFER_CLOSED */
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