chore: import upstream snapshot with attribution
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wehub-resource-sync
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/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION &
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* AFFILIATES. All rights reserved. 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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#include <cuda.h>
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#if CUDA_VERSION >= 10010
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#ifndef TRT_SKIP_LAYER_NORM_PLUGIN_H
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#define TRT_SKIP_LAYER_NORM_PLUGIN_H
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#include "NvInferPlugin.h"
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#include "common/bertCommon.h"
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#include <memory>
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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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template <bool hasBias>
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int32_t computeSkipLayerNormDQQ(cudaStream_t stream, int32_t const ld, int32_t const n, int8_t const* input,
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int8_t const* skip, __half const* beta, __half const* gamma, int8_t* output, __half const* bias,
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float const dqScaleIn, float const dqScaleSkip, float const qScale);
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template <typename T, bool hasBias>
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int32_t computeSkipLayerNorm(cudaStream_t stream, int32_t const ld, int32_t const n, T const* input, T const* skip,
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T const* beta, T const* gamma, T* output, T const* bias);
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class SkipLayerNormPluginV3 : 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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SkipLayerNormPluginV3(const std::string name, const nvinfer1::DataType type, int32_t const ld,
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nvinfer1::Weights const& beta, nvinfer1::Weights const& gamma, nvinfer1::Weights const& bias);
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// It doesn't make sense to make SkipLayerNormPluginV3 without arguments,
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// so we delete default constructor.
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SkipLayerNormPluginV3() = delete;
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~SkipLayerNormPluginV3() override;
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// IPluginV3 Methods
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IPluginCapability* getCapabilityInterface(PluginCapabilityType type) noexcept override;
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IPluginV3* clone() 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* getPluginVersion() 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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// end of IPluginV3OneCore Methods
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// IPluginV3Build Methods
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int32_t getNbOutputs() const noexcept override;
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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 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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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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// end IPluginV3Build Methods
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// IPluginV3Runtime Methods
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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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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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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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private:
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// metadata
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const std::string mLayerName;
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std::string mNamespace;
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// members that participate in ser/deserialization
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bert::WeightsWithOwnership mGamma;
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bert::WeightsWithOwnership mBeta;
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bert::WeightsWithOwnership mBias;
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nvinfer1::DataType mType;
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nvinfer1::DataType mCfgType;
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int32_t mLd{}; // leading dim
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bool mHasBias{};
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// device-side
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bert::cuda_unique_ptr<void> mGammaDev;
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bert::cuda_unique_ptr<void> mBetaDev;
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bert::cuda_unique_ptr<void> mBiasDev;
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// derived member from mCfgType
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size_t mParamWordsize{};
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// serialization data structures
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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 SkipLayerNormPluginV3Creator : public nvinfer1::IPluginCreatorV3One
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{
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public:
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SkipLayerNormPluginV3Creator();
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~SkipLayerNormPluginV3Creator() 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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nvinfer1::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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PluginFieldCollection mFC;
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std::vector<PluginField> mPluginAttributes;
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std::string mNamespace;
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};
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class SkipLayerNormVarSeqlenPluginV3 : 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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SkipLayerNormVarSeqlenPluginV3(const std::string name, const nvinfer1::DataType type, nvinfer1::Weights const& beta,
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nvinfer1::Weights const& gamma, nvinfer1::Weights const& bias);
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SkipLayerNormVarSeqlenPluginV3(const std::string name, void const* data, size_t length);
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// It doesn't make sense to make SkipLayerNormVarSeqlenPluginV3 without
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// arguments, so we delete default constructor.
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SkipLayerNormVarSeqlenPluginV3() = delete;
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~SkipLayerNormVarSeqlenPluginV3() override;
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// IPluginV3 Methods
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IPluginCapability* getCapabilityInterface(PluginCapabilityType type) noexcept override;
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IPluginV3* clone() 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* getPluginVersion() 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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// end of IPluginV3OneCore Methods
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// IPluginV3Build Methods
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int32_t getNbOutputs() const noexcept override;
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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 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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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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// end IPluginV3Build Methods
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// IPluginV3Runtime Methods
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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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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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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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private:
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const std::string mLayerName;
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std::string mNamespace;
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bert::cuda_unique_ptr<void> mGammaDev;
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bert::cuda_unique_ptr<void> mBetaDev;
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int32_t mLd{}; // leading dim
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bert::WeightsWithOwnership mGamma;
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bert::WeightsWithOwnership mBeta;
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nvinfer1::DataType mType;
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nvinfer1::DataType mCfgType;
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bool mHasBias{};
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bert::cuda_unique_ptr<void> mBiasDev;
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bert::WeightsWithOwnership mBias;
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size_t mParamWordsize{};
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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 SkipLayerNormVarSeqlenPluginV3Creator : public nvinfer1::IPluginCreatorV3One
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{
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public:
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SkipLayerNormVarSeqlenPluginV3Creator();
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~SkipLayerNormVarSeqlenPluginV3Creator() 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_SKIP_LAYER_NORM_PLUGIN_H
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#endif // CUDA_VERSION >= 10010
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