chore: import upstream snapshot with attribution
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/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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// Need 10.1 for cublasGemmStridedBatchedEx
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#include <cuda.h>
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#if CUDA_VERSION >= 10010
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#ifndef TRT_QKV_TO_CONTEXT_PLUGIN_H
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#define TRT_QKV_TO_CONTEXT_PLUGIN_H
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#include "NvInferPlugin.h"
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#include "common/cublasWrapper.h"
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#include "mhaRunner.h"
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#include "zeroPadding2d.h"
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#include <math.h>
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#include <string>
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#include <vector>
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namespace nvinfer1
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{
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namespace plugin
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{
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namespace bert
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{
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std::pair<int32_t, int32_t> tuneBatchedGemm(
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const int32_t B, const int32_t S, const int32_t numHeads, const int32_t headSize);
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template <typename T>
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int32_t computeScaledSoftmax(cudaStream_t stream, const int32_t ld, const int32_t B, const int32_t N,
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float const rsqrtHeadSize, T const* input, T* output);
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template <typename T>
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int32_t computeMaskedScaledSoftmax(cudaStream_t stream, const int32_t ld, const int32_t B, const int32_t N,
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float const rsqrtHeadSize, int32_t const* maskIdx, T const* input, T* output);
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// One of the preferred ways of making TensorRT to be able to see
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// our custom layer requires extending IPluginV2 and IPluginCreator classes.
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// For requirements for overriden functions, check TensorRT API docs.
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class QKVToContextPluginDynamic : public IPluginV3,
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public IPluginV3OneCore,
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public IPluginV3OneBuild,
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public IPluginV3OneRuntime
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{
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public:
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QKVToContextPluginDynamic(const std::string name, const nvinfer1::DataType type, const int32_t hiddenSize,
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const int32_t numHeads, float const dqProbs, bool hasImask = false);
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// constructor that also takes in MHARunner state
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// this constructor should only be called during runtime plugin creation after engine deserialization
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QKVToContextPluginDynamic(const std::string name, const DataType type, const int32_t S, const int32_t B,
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const int32_t SM, const int32_t hiddenSize, const int32_t numHeads, float const dqProbs, bool hasImask,
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bool hasUnfusedDispatcher, void const* runnerStateBuffer);
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// It doesn't make sense to make QKVToContextPluginDynamic without arguments, so we
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// delete default constructor.
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QKVToContextPluginDynamic() = delete;
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~QKVToContextPluginDynamic() override;
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// IPluginV3 Methods
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// NOTE: since this is itself is an abstract class, the rest of virtual methods defined in its children classes
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IPluginCapability* getCapabilityInterface(PluginCapabilityType type) noexcept override;
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// end of IPluginV3 Methods
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// IPluginV3OneCore Methods
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char const* getPluginName() const noexcept override;
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char const* getPluginNamespace() const noexcept override;
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void setPluginNamespace(char const* pluginNamespace) noexcept;
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char const* getPluginVersion() const noexcept override;
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// end of IPluginV3OneCore Methods
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// IPluginV3Build Methods
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bool supportsFormatCombination(
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int32_t pos, DynamicPluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept override;
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int32_t configurePlugin(DynamicPluginTensorDesc const* in, int32_t nbInputs, DynamicPluginTensorDesc const* out,
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int32_t nbOutputs) noexcept override;
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size_t getWorkspaceSize(DynamicPluginTensorDesc const* inputs, int32_t nbInputs,
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DynamicPluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept override;
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int32_t getOutputDataTypes(
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DataType* outputTypes, int32_t nbOutputs, DataType const* inputTypes, int32_t nbInputs) const noexcept override;
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int32_t getNbOutputs() const noexcept override;
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int32_t getOutputShapes(DimsExprs const* inputs, int32_t nbInputs, DimsExprs const* shapeInputs,
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int32_t nbShapeInputs, DimsExprs* outputs, int32_t nbOutputs, IExprBuilder& exprBuilder) noexcept override;
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// end IPluginV3Build Methods
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// IPluginV3Runtime Methods
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IPluginV3* clone() noexcept override;
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int32_t onShapeChange(
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PluginTensorDesc const* in, int32_t nbInputs, PluginTensorDesc const* out, int32_t nbOutputs) noexcept override;
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int32_t enqueue(nvinfer1::PluginTensorDesc const* inputDesc, nvinfer1::PluginTensorDesc const* outputDesc,
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void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept override;
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IPluginV3* attachToContext(IPluginResourceContext* context) noexcept override;
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PluginFieldCollection const* getFieldsToSerialize() noexcept override;
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// end IPluginV3Runtime Methods
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// setter for mCublasWrapper and mCublasHandle
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void setCublasResources(std::shared_ptr<CublasWrapper>);
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protected:
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void createMHARunner();
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private:
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const std::string mLayerName;
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std::string mNamespace;
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// used for sequence len 128, 384, precision int8
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// used for sequence len 64, 96, 128, 384, precision fp16
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std::unique_ptr<MHARunner> fusedDispatcher;
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// used for other sequence, precision fp32 and fp16
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std::unique_ptr<MHARunner> unfusedDispatcher;
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int32_t mS{};
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int32_t mB{};
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int32_t mSM{};
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int32_t mHeadSize{};
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int32_t mHiddenSize;
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int32_t mNumHeads{};
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int32_t mHasImask{};
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int32_t mHasUnfusedDispatcher{};
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nvinfer1::DataType mType{};
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float mDqProbs{};
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nvinfer1::pluginInternal::cublasHandle_t mCublasHandle{};
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// the wrapper pointer is shared among all plugins attached to the same context.
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std::shared_ptr<nvinfer1::pluginInternal::CublasWrapper> mCublasWrapper;
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// IPluginV3 serialization related
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std::vector<nvinfer1::PluginField> mDataToSerialize;
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nvinfer1::PluginFieldCollection mFCToSerialize;
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std::vector<char> mRunnerStateBuffer; // memory management of this is handled automatically by class destructor
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};
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class QKVToContextPluginDynamicCreator : public nvinfer1::IPluginCreatorV3One
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{
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public:
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QKVToContextPluginDynamicCreator();
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~QKVToContextPluginDynamicCreator() override = default;
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char const* getPluginName() const noexcept override;
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char const* getPluginVersion() const noexcept override;
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PluginFieldCollection const* getFieldNames() noexcept override;
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IPluginV3* createPlugin(char const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept override;
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void setPluginNamespace(char const* libNamespace) noexcept;
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char const* getPluginNamespace() const noexcept override;
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private:
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nvinfer1::PluginFieldCollection mFC;
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std::vector<nvinfer1::PluginField> mPluginAttributes;
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std::string mNamespace;
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};
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class QKVToContextVarSeqlenPlugin : public IPluginV3,
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public IPluginV3OneCore,
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public IPluginV3OneBuild,
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public IPluginV3OneRuntime
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{
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public:
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QKVToContextVarSeqlenPlugin(std::string const name, nvinfer1::DataType const type, int32_t const hiddenSize,
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int32_t const numHeads, float const dqProbs, bool hasImask = false, bool varSeqlen = false,
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bool const useInt8ScaleMax = true);
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QKVToContextVarSeqlenPlugin(std::string const name, int32_t const s, int32_t b, nvinfer1::DataType const type,
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int32_t const hiddenSize, int32_t const numHeads, float const dqProbs, bool hasImask, bool varSeqlen,
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bool const useInt8ScaleMax, void const* runnerStateBuffer);
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// It doesn't make sense to make QKVToContextVarSeqlenPlugin without arguments, so we
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// delete default constructor.
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QKVToContextVarSeqlenPlugin() = delete;
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~QKVToContextVarSeqlenPlugin() override;
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// IPluginV3 Methods
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// NOTE: since this is itself is an abstract class, the rest of virtual methods defined in its children classes
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IPluginCapability* getCapabilityInterface(PluginCapabilityType type) noexcept override;
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// end of IPluginV3 Methods
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// IPluginV3OneCore Methods
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char const* getPluginName() const noexcept override;
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char const* getPluginNamespace() const noexcept override;
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void setPluginNamespace(char const* pluginNamespace) noexcept;
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char const* getPluginVersion() const noexcept override;
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// end of IPluginV3OneCore Methods
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// IPluginV3Build Methods
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bool supportsFormatCombination(
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int32_t pos, DynamicPluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept override;
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int32_t configurePlugin(DynamicPluginTensorDesc const* in, int32_t nbInputs, DynamicPluginTensorDesc const* out,
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int32_t nbOutputs) noexcept override;
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size_t getWorkspaceSize(DynamicPluginTensorDesc const* inputs, int32_t nbInputs,
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DynamicPluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept override;
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int32_t getOutputDataTypes(
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DataType* outputTypes, int32_t nbOutputs, DataType const* inputTypes, int32_t nbInputs) const noexcept override;
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int32_t getNbOutputs() const noexcept override;
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int32_t getOutputShapes(DimsExprs const* inputs, int32_t nbInputs, DimsExprs const* shapeInputs,
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int32_t nbShapeInputs, DimsExprs* outputs, int32_t nbOutputs, IExprBuilder& exprBuilder) noexcept override;
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// end IPluginV3Build Methods
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// IPluginV3Runtime Methods
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IPluginV3* clone() noexcept override;
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int32_t onShapeChange(
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PluginTensorDesc const* in, int32_t nbInputs, PluginTensorDesc const* out, int32_t nbOutputs) noexcept override;
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int32_t enqueue(nvinfer1::PluginTensorDesc const* inputDesc, nvinfer1::PluginTensorDesc const* outputDesc,
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void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept override;
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IPluginV3* attachToContext(IPluginResourceContext* context) noexcept override;
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PluginFieldCollection const* getFieldsToSerialize() noexcept override;
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// setter for mCublasWrapper and mCublasHandle
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void setCublasResources(std::shared_ptr<CublasWrapper>);
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protected:
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void createMHARunner();
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private:
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const std::string mLayerName;
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std::string mNamespace;
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// Used for kernels with header size equals to 32.
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std::unique_ptr<MHARunner> mDispatcher;
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std::unique_ptr<QkvPaddingRunner> mPatcher;
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int32_t mS{};
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int32_t mB{};
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int32_t mSM{};
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int32_t mHeadSize{};
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int32_t mHiddenSize{};
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int32_t mNumHeads{};
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int32_t mHasImask{};
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nvinfer1::DataType mType{};
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float mDqProbs{};
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int32_t mHdim{};
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int32_t mUseVarSeqlen{};
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int32_t mUseInt8ScaleMax{true};
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nvinfer1::pluginInternal::cublasHandle_t mCublasHandle{};
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// the wrapper pointer is shared among all plugins attached to the same context.
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std::shared_ptr<nvinfer1::pluginInternal::CublasWrapper> mCublasWrapper;
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// serialization data structures
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std::vector<char> mRunnerStateBuffer; // memory management of this is handled automatically by class destructor
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std::vector<nvinfer1::PluginField> mDataToSerialize;
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nvinfer1::PluginFieldCollection mFCToSerialize;
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};
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class QKVToContextVarSeqlenPluginCreator : public nvinfer1::IPluginCreatorV3One
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{
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public:
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QKVToContextVarSeqlenPluginCreator();
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~QKVToContextVarSeqlenPluginCreator() override = default;
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char const* getPluginName() const noexcept override;
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char const* getPluginVersion() const noexcept override;
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PluginFieldCollection const* getFieldNames() noexcept override;
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IPluginV3* createPlugin(char const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept override;
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void setPluginNamespace(char const* libNamespace) noexcept;
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char const* getPluginNamespace() const noexcept override;
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private:
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nvinfer1::PluginFieldCollection mFC;
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std::vector<nvinfer1::PluginField> mPluginAttributes;
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std::string mNamespace;
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};
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} // namespace bert
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} // namespace plugin
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} // namespace nvinfer1
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#endif // TRT_QKV_TO_CONTEXT_PLUGIN_H
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#endif // CUDA_VERSION >= 10010
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