688 lines
25 KiB
C++
688 lines
25 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2026 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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#include <cuda.h>
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#if CUDA_VERSION >= 10010
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#include <memory>
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#include <set>
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#include <string_view>
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#include <vector>
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#include "NvInfer.h"
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#include "embLayerNormPlugin.h"
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using namespace nvinfer1;
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using namespace nvinfer1::plugin;
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using namespace nvinfer1::plugin::bert;
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namespace
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{
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using namespace std::string_view_literals;
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char const* gEmbLayerNormVersion{"6"};
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char const* gEmbLayerNormName{"CustomEmbLayerNormPluginDynamic"};
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} // namespace
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REGISTER_TENSORRT_PLUGIN(EmbLayerNormPluginDynamicCreator);
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EmbLayerNormPluginDynamic::EmbLayerNormPluginDynamic(std::string const& name, DataType const type,
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DataType const mhaType, Weights const& beta, Weights const& gamma, Weights const& wordEmb, Weights const& posEmb,
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Weights const& tokEmb, bool const useFullMask)
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: mLayerName(name)
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, mLd(beta.count)
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, mType(type)
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, mMhaType(mhaType)
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{
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// Assuming Weights.count is the number of elements and not bytes
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PLUGIN_VALIDATE(beta.count == gamma.count);
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PLUGIN_VALIDATE(mLd > 0U);
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PLUGIN_VALIDATE(wordEmb.count % mLd == 0);
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PLUGIN_VALIDATE(posEmb.count % mLd == 0);
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PLUGIN_VALIDATE(tokEmb.count % mLd == 0);
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mWordVocabSize = wordEmb.count / mLd;
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mPosVocabSize = posEmb.count / mLd;
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mTokVocabSize = tokEmb.count / mLd;
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mSM = getSmVersion();
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mOutputFp16 = mType == DataType::kHALF ? 1 : 0;
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mUseFullMask = static_cast<int32_t>(useFullMask);
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// NOTE: mS is set during configure
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mBeta.convertAndCopy(beta, nvinfer1::DataType::kFLOAT);
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mGamma.convertAndCopy(gamma, nvinfer1::DataType::kFLOAT);
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mWordEmb.convertAndCopy(wordEmb, mType);
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mTokEmb.convertAndCopy(tokEmb, mType);
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mPosEmb.convertAndCopy(posEmb, mType);
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copyToDevice(mGamma, sizeof(float) * mGamma.count, mGammaDev);
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copyToDevice(mBeta, sizeof(float) * mBeta.count, mBetaDev);
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copyToDevice(mWordEmb, getWeightsSize(mWordEmb, mType), mWordEmbDev);
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copyToDevice(mPosEmb, getWeightsSize(mPosEmb, mType), mPosEmbDev);
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copyToDevice(mTokEmb, getWeightsSize(mTokEmb, mType), mTokEmbDev);
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}
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EmbLayerNormPluginDynamic::~EmbLayerNormPluginDynamic()
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{
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try
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{
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// This gets called when the network containing plugin is destroyed
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mGammaDev.reset(nullptr);
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mBetaDev.reset(nullptr);
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mWordEmbDev.reset(nullptr);
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mPosEmbDev.reset(nullptr);
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mTokEmbDev.reset(nullptr);
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// delete this; TRT or the creator of the plugin will delete this plugin object
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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}
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//////
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// IPluginV3 method definitions:
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// - getCapabilityInterface() (Base)
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// - clone() (HFace, MTron)
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//////
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IPluginCapability* EmbLayerNormPluginDynamic::getCapabilityInterface(PluginCapabilityType type) noexcept
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{
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try
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{
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if (type == PluginCapabilityType::kBUILD)
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{
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return static_cast<IPluginV3OneBuild*>(this);
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}
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if (type == PluginCapabilityType::kRUNTIME)
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{
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return static_cast<IPluginV3OneRuntime*>(this);
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}
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PLUGIN_ASSERT(type == PluginCapabilityType::kCORE);
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return static_cast<IPluginV3OneCore*>(this);
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return nullptr;
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}
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IPluginV3* EmbLayerNormPluginDynamic::clone() noexcept
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{
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try
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{
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BERT_DEBUG_MSG("EmbLayerNormPluginDynamic clone.");
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auto p = std::make_unique<EmbLayerNormPluginDynamic>(
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mLayerName, mType, mMhaType, mBeta, mGamma, mWordEmb, mPosEmb, mTokEmb, mUseFullMask == 1);
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p->mS = mS;
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p->setPluginNamespace(mNamespace.c_str());
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return p.release();
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return nullptr;
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}
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// End IPluginV3 method definitions
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//////
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// IPluginV3OneRuntime method definitions:
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// - getFieldsToSerialize()
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// - onShapeChange()
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// - attachToContext()
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// - enqueue()
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/////
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PluginFieldCollection const* EmbLayerNormPluginDynamic::getFieldsToSerialize() noexcept
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{
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mDataToSerialize.clear();
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mDataToSerialize.emplace_back("output_fp16", &mOutputFp16, PluginFieldType::kINT32, 1);
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mDataToSerialize.emplace_back("full_mask", &mUseFullMask, PluginFieldType::kINT32, 1);
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mDataToSerialize.emplace_back("mha_type_id", &mMhaType, PluginFieldType::kINT32, 1);
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mDataToSerialize.emplace_back("bert_embeddings_layernorm_beta", static_cast<float const*>(mBeta.values),
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PluginFieldType::kFLOAT32, mBeta.count);
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mDataToSerialize.emplace_back("bert_embeddings_layernorm_gamma", static_cast<float const*>(mGamma.values),
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PluginFieldType::kFLOAT32, mGamma.count);
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if (mOutputFp16)
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{
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mDataToSerialize.emplace_back("bert_embeddings_word_embeddings", static_cast<half const*>(mWordEmb.values),
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PluginFieldType::kFLOAT16, mWordEmb.count);
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mDataToSerialize.emplace_back("bert_embeddings_token_type_embeddings", static_cast<half const*>(mTokEmb.values),
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PluginFieldType::kFLOAT16, mTokEmb.count);
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mDataToSerialize.emplace_back("bert_embeddings_position_embeddings", static_cast<half const*>(mPosEmb.values),
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PluginFieldType::kFLOAT16, mPosEmb.count);
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}
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else
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{
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mDataToSerialize.emplace_back("bert_embeddings_word_embeddings", static_cast<float const*>(mWordEmb.values),
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PluginFieldType::kFLOAT32, mWordEmb.count);
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mDataToSerialize.emplace_back("bert_embeddings_token_type_embeddings",
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static_cast<float const*>(mTokEmb.values), PluginFieldType::kFLOAT32, mTokEmb.count);
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mDataToSerialize.emplace_back("bert_embeddings_position_embeddings", static_cast<float const*>(mPosEmb.values),
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PluginFieldType::kFLOAT32, mPosEmb.count);
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}
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mFCToSerialize.nbFields = mDataToSerialize.size();
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mFCToSerialize.fields = mDataToSerialize.data();
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return &mFCToSerialize;
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}
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int32_t EmbLayerNormPluginDynamic::onShapeChange(
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PluginTensorDesc const* inputs, int32_t nbInputs, PluginTensorDesc const* outputs, int32_t nbOutputs) noexcept
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{
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BERT_DEBUG_MSG("EmbLayerNormPluginDynamic configurePlugin.");
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try
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{
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// Validate input arguments
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PLUGIN_ASSERT(nbOutputs == 2);
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PLUGIN_ASSERT(nbInputs == 3);
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PLUGIN_ASSERT(inputs[0].dims.nbDims == 2);
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int32_t const S = inputs[0].dims.d[SDIM];
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mS = S;
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int32_t const B = inputs[0].dims.d[BDIM];
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TRT_UNUSED B;
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PLUGIN_ASSERT(mS == static_cast<size_t>(inputs[1].dims.d[SDIM]));
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PLUGIN_ASSERT(B == inputs[1].dims.d[BDIM]);
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PLUGIN_ASSERT(mS == static_cast<size_t>(inputs[2].dims.d[SDIM]));
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PLUGIN_ASSERT(B == inputs[2].dims.d[BDIM]);
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PLUGIN_ASSERT(outputs[0].dims.nbDims == 5);
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PLUGIN_ASSERT(static_cast<size_t>(outputs[0].dims.d[SDIM]) == mS);
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PLUGIN_ASSERT(outputs[0].dims.d[BDIM] == B);
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PLUGIN_ASSERT(static_cast<size_t>(outputs[0].dims.d[2]) == mLd);
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PLUGIN_ASSERT(outputs[0].dims.d[3] == 1);
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PLUGIN_ASSERT(outputs[0].dims.d[4] == 1);
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if (mUseFullMask)
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{
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// user force full_mask
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PLUGIN_ASSERT(outputs[1].dims.nbDims == 2);
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PLUGIN_ASSERT(outputs[1].dims.d[0] == B);
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PLUGIN_ASSERT((outputs[1].dims.d[1] == -1) || (outputs[1].dims.d[1] == packedMaskSize384)
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|| (outputs[1].dims.d[1] == packedMaskSize128));
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}
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else
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{
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// auto detect using mhatype
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if (S != -1 && B != -1)
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{
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PLUGIN_ASSERT(outputs[1].dims.nbDims == 2);
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PLUGIN_ASSERT(outputs[1].dims.d[0] == B);
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int32_t packedSize = getMHAMaskPackedSize(mSM, mMhaType, S);
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TRT_UNUSED packedSize;
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PLUGIN_ASSERT(outputs[1].dims.d[1] == -1 || outputs[1].dims.d[1] == packedSize);
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}
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}
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PLUGIN_ASSERT(inputs[0].type == DataType::kINT32);
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PLUGIN_ASSERT(inputs[1].type == DataType::kINT32);
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PLUGIN_ASSERT(inputs[2].type == DataType::kINT32);
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PLUGIN_ASSERT(outputs[0].type == mType);
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PLUGIN_ASSERT(outputs[1].type == DataType::kINT32);
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return pluginStatus_t::STATUS_SUCCESS;
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return pluginStatus_t::STATUS_FAILURE;
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}
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IPluginV3* EmbLayerNormPluginDynamic::attachToContext(IPluginResourceContext* context) noexcept
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{
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return clone();
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}
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int32_t EmbLayerNormPluginDynamic::enqueue(PluginTensorDesc const* inputDesc, PluginTensorDesc const* /* outputDesc */,
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void const* const* inputs, void* const* outputs, void* /* workspace */, cudaStream_t stream) noexcept
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{
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try
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{
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PLUGIN_VALIDATE(inputDesc != nullptr && inputs != nullptr && outputs != nullptr);
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int32_t const batchSize = inputDesc->dims.d[BDIM];
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int32_t const S = inputDesc->dims.d[SDIM];
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int32_t status = STATUS_FAILURE;
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// Our plugin outputs only one tensor
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auto const inputIds = static_cast<int32_t const*>(inputs[0]);
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auto const segmentIds = static_cast<int32_t const*>(inputs[1]);
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auto const inputMask = static_cast<int32_t const*>(inputs[2]);
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float const* beta = mBetaDev.get();
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float const* gamma = mGammaDev.get();
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if (mType == DataType::kFLOAT)
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{
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auto output = static_cast<float*>(outputs[0]);
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auto const wordEmb = static_cast<float const*>(mWordEmbDev.get());
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auto const tokEmb = static_cast<float const*>(mTokEmbDev.get());
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auto const posEmb = static_cast<float const*>(mPosEmbDev.get());
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status = embSkipLayerNorm<float>(stream, static_cast<int32_t>(mLd), batchSize, S, inputIds, segmentIds,
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beta, gamma, wordEmb, posEmb, tokEmb, mWordVocabSize, mTokVocabSize, output);
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if (status != cudaSuccess)
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{
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return status;
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}
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}
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else if (mType == DataType::kHALF)
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{
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auto output = static_cast<half*>(outputs[0]);
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auto const wordEmb = static_cast<half const*>(mWordEmbDev.get());
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auto const tokEmb = static_cast<half const*>(mTokEmbDev.get());
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auto const posEmb = static_cast<half const*>(mPosEmbDev.get());
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status = embSkipLayerNorm<half>(stream, static_cast<int32_t>(mLd), batchSize, S, inputIds, segmentIds, beta,
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gamma, wordEmb, posEmb, tokEmb, mWordVocabSize, mTokVocabSize, output);
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if (status != cudaSuccess)
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{
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return status;
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}
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}
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else
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{
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gLogError << "Unsupported type error, expected [kHALF,kFLOAT], but received " << static_cast<int32_t>(mType)
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<< std::endl;
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return STATUS_NOT_SUPPORTED;
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}
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// check mha use fused kernel
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if (mUseFullMask || unfusedMaskSize != getMHAMaskPackedSize(mSM, mMhaType, S))
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{
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size_t warps_m = 0, warps_n = 0, warps_k = 1;
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if (S == 64 || S == 96 || S == 128)
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{
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warps_m = 2;
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warps_n = 2;
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}
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else if (S == 384)
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{
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warps_m = 1;
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warps_n = 8;
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}
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uint32_t* inputMaskX = static_cast<uint32_t*>(outputs[1]);
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status = convertMask(S, batchSize, warps_m, warps_n, warps_k, inputMask, inputMaskX, stream);
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}
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else
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{
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int32_t* maskIdx = static_cast<int32_t*>(outputs[1]);
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status = computeMaskIdx(stream, S, batchSize, inputMask, maskIdx);
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}
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return status;
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return STATUS_FAILURE;
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}
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// end IPluginV3OneRuntime method definitions
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///////
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// IPluginV3OneBuild method definitions
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// - getNbOutputs()
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// - supportsFormatCombination()
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// - getOutputShapes
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// - getOutputDataTypes()
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// - configurePlugin()
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// - getWorkSpaceSize()
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//////
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int32_t EmbLayerNormPluginDynamic::getNbOutputs() const noexcept
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{
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return 2;
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}
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bool EmbLayerNormPluginDynamic::supportsFormatCombination(
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int32_t pos, DynamicPluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept
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{
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// 3 inputs of size BxS
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PLUGIN_ASSERT(nbInputs == 3);
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PLUGIN_ASSERT(nbOutputs == 2);
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PluginTensorDesc const& desc = inOut[pos].desc;
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if (desc.format != TensorFormat::kLINEAR)
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{
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return false;
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}
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if (pos == 0)
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{
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return desc.type == DataType::kINT32 && desc.dims.nbDims == 2;
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}
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PluginTensorDesc const& prev = inOut[pos - 1].desc;
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if (pos == 1 || pos == 2)
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{
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return desc.type == DataType::kINT32 && desc.dims.nbDims == 2 && desc.dims.d[BDIM] == prev.dims.d[BDIM]
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&& desc.dims.d[SDIM] == prev.dims.d[SDIM];
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}
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// embedded sequence
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if (pos == 3)
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{
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return desc.type == mType && desc.dims.nbDims == 5 && desc.dims.d[BDIM] == prev.dims.d[BDIM]
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&& desc.dims.d[SDIM] == prev.dims.d[SDIM] && desc.dims.d[3] == 1 && desc.dims.d[4] == 1;
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}
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// mask
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return desc.type == DataType::kINT32;
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}
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int32_t EmbLayerNormPluginDynamic::getOutputShapes(DimsExprs const* inputs, int32_t nbInputs,
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DimsExprs const* shapeInputs, int32_t nbShapeInputs, DimsExprs* outputs, int32_t nbOutputs,
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IExprBuilder& exprBuilder) noexcept
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{
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try
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{
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// Input should be input ids and token ids and the input mask
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// Output should be the embeddings tensor and mask indices
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PLUGIN_ASSERT(nbInputs == 3);
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PLUGIN_ASSERT(inputs != nullptr);
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PLUGIN_ASSERT(inputs[0].nbDims == 2); // BxS
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PLUGIN_ASSERT(inputs[0].nbDims == inputs[1].nbDims);
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PLUGIN_ASSERT(inputs[0].nbDims == inputs[2].nbDims);
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PLUGIN_ASSERT(nbOutputs == 2);
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PLUGIN_ASSERT(outputs != nullptr);
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// output 0: embeddings tensor
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outputs[0].nbDims = 5;
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outputs[0].d[0] = inputs[0].d[0];
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outputs[0].d[1] = inputs[0].d[1];
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outputs[0].d[2] = exprBuilder.constant(mLd);
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outputs[0].d[3] = exprBuilder.constant(1);
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outputs[0].d[4] = exprBuilder.constant(1);
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// output 1: mask indices
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outputs[1].nbDims = 2;
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outputs[1].d[0] = inputs[0].d[BDIM];
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auto cms0 = exprBuilder.constant(unfusedMaskSize);
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// this code must match getMHAMaskPackedSize in bertCommon.h
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bool const isSmOK = elem(mSM, {kSM_75, kSM_80, kSM_86, kSM_87, kSM_89, kSM_90, kSM_100, kSM_120});
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bool const isPrecisionOK = (mMhaType == nvinfer1::DataType::kHALF || mMhaType == nvinfer1::DataType::kINT8);
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if (mUseFullMask || (isSmOK && isPrecisionOK))
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{
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// support 128, 384 in both int8 and fp16
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auto cms128 = exprBuilder.constant(packedMaskSize128);
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auto cms384 = exprBuilder.constant(packedMaskSize384);
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auto c128 = exprBuilder.constant(128);
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auto c384 = exprBuilder.constant(384);
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auto is128 = exprBuilder.operation(DimensionOperation::kEQUAL, *inputs[0].d[SDIM], *c128);
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auto is384 = exprBuilder.operation(DimensionOperation::kEQUAL, *inputs[0].d[SDIM], *c384);
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auto sel128 = exprBuilder.operation(DimensionOperation::kPROD, *is128, *cms128);
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auto sel384 = exprBuilder.operation(DimensionOperation::kPROD, *is384, *cms384);
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auto maskSize = exprBuilder.operation(DimensionOperation::kSUM, *sel384, *sel128);
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// support 64, 96 in both int8 and fp16
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auto cms64 = exprBuilder.constant(packedMaskSize64);
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auto cms96 = exprBuilder.constant(packedMaskSize96);
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auto c64 = exprBuilder.constant(64);
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auto c96 = exprBuilder.constant(96);
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auto is64 = exprBuilder.operation(DimensionOperation::kEQUAL, *inputs[0].d[SDIM], *c64);
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auto is96 = exprBuilder.operation(DimensionOperation::kEQUAL, *inputs[0].d[SDIM], *c96);
|
|
auto sel64 = exprBuilder.operation(DimensionOperation::kPROD, *is64, *cms64);
|
|
auto sel96 = exprBuilder.operation(DimensionOperation::kPROD, *is96, *cms96);
|
|
auto maskSize2 = exprBuilder.operation(DimensionOperation::kSUM, *sel64, *sel96);
|
|
maskSize = exprBuilder.operation(DimensionOperation::kSUM, *maskSize, *maskSize2);
|
|
|
|
auto is0 = exprBuilder.operation(DimensionOperation::kEQUAL, *maskSize, *exprBuilder.constant(0));
|
|
auto sel0 = exprBuilder.operation(DimensionOperation::kPROD, *is0, *cms0);
|
|
auto combinedMaskSize = exprBuilder.operation(DimensionOperation::kSUM, *maskSize, *sel0);
|
|
outputs[1].d[1] = combinedMaskSize;
|
|
}
|
|
else
|
|
{
|
|
outputs[1].d[1] = cms0;
|
|
}
|
|
return pluginStatus_t::STATUS_SUCCESS;
|
|
}
|
|
catch (std::exception const& e)
|
|
{
|
|
caughtError(e);
|
|
}
|
|
return pluginStatus_t::STATUS_FAILURE;
|
|
}
|
|
|
|
int32_t EmbLayerNormPluginDynamic::getOutputDataTypes(
|
|
DataType* outputTypes, int32_t nbOutputs, DataType const* inputTypes, int32_t nbInputs) const noexcept
|
|
{
|
|
try
|
|
{
|
|
PLUGIN_ASSERT(outputTypes != nullptr);
|
|
PLUGIN_ASSERT(nbOutputs == 2);
|
|
PLUGIN_ASSERT(inputTypes != nullptr);
|
|
PLUGIN_ASSERT(nbInputs == 3);
|
|
PLUGIN_ASSERT(mType == DataType::kHALF || mType == DataType::kFLOAT);
|
|
outputTypes[0] = mType;
|
|
outputTypes[1] = DataType::kINT32;
|
|
return pluginStatus_t::STATUS_SUCCESS;
|
|
}
|
|
catch (std::exception const& e)
|
|
{
|
|
caughtError(e);
|
|
}
|
|
return pluginStatus_t::STATUS_FAILURE;
|
|
}
|
|
|
|
int32_t EmbLayerNormPluginDynamic::configurePlugin(DynamicPluginTensorDesc const* inputs, int32_t nbInputs,
|
|
DynamicPluginTensorDesc const* outputs, int32_t nbOutputs) noexcept
|
|
{
|
|
return pluginStatus_t::STATUS_SUCCESS;
|
|
}
|
|
|
|
size_t EmbLayerNormPluginDynamic::getWorkspaceSize(DynamicPluginTensorDesc const* inputs, int32_t nbInputs,
|
|
DynamicPluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept
|
|
{
|
|
return 0;
|
|
}
|
|
|
|
// End IPluginV3OneBuild method definitions
|
|
|
|
//////
|
|
// IPluginV3OneCore method definitions
|
|
// - getPluginVersion()
|
|
// - getPluginName()
|
|
// - getPluginNamespace()
|
|
// - setPluginNamespace()
|
|
//////
|
|
char const* EmbLayerNormPluginDynamic::getPluginVersion() const noexcept
|
|
{
|
|
return gEmbLayerNormVersion;
|
|
}
|
|
|
|
char const* EmbLayerNormPluginDynamic::getPluginName() const noexcept
|
|
{
|
|
return gEmbLayerNormName;
|
|
}
|
|
|
|
void EmbLayerNormPluginDynamic::setPluginNamespace(char const* libNamespace) noexcept
|
|
{
|
|
try
|
|
{
|
|
mNamespace = libNamespace;
|
|
}
|
|
catch (std::exception const& e)
|
|
{
|
|
caughtError(e);
|
|
}
|
|
}
|
|
|
|
char const* EmbLayerNormPluginDynamic::getPluginNamespace() const noexcept
|
|
{
|
|
return mNamespace.c_str();
|
|
}
|
|
|
|
// End IPluginV3OneCore method definitions
|
|
|
|
//////////////////////////// Plugin Creator member definitions /////////////////////////////
|
|
|
|
EmbLayerNormPluginDynamicCreator::EmbLayerNormPluginDynamicCreator()
|
|
{
|
|
static std::mutex sMutex;
|
|
std::lock_guard<std::mutex> lock(sMutex);
|
|
mPluginAttributes.clear();
|
|
mPluginAttributes.emplace_back(PluginField("bert_embeddings_layernorm_beta"));
|
|
mPluginAttributes.emplace_back(PluginField("bert_embeddings_layernorm_gamma"));
|
|
mPluginAttributes.emplace_back(PluginField("bert_embeddings_word_embeddings"));
|
|
mPluginAttributes.emplace_back(PluginField("bert_embeddings_token_type_embeddings"));
|
|
mPluginAttributes.emplace_back(PluginField("bert_embeddings_position_embeddings"));
|
|
mPluginAttributes.emplace_back(PluginField("output_fp16"));
|
|
mPluginAttributes.emplace_back(PluginField("full_mask"));
|
|
mPluginAttributes.emplace_back(PluginField("mha_type_id"));
|
|
mFC.nbFields = mPluginAttributes.size();
|
|
mFC.fields = mPluginAttributes.data();
|
|
}
|
|
|
|
char const* EmbLayerNormPluginDynamicCreator::getPluginName() const noexcept
|
|
{
|
|
return gEmbLayerNormName;
|
|
}
|
|
|
|
char const* EmbLayerNormPluginDynamicCreator::getPluginVersion() const noexcept
|
|
{
|
|
return gEmbLayerNormVersion;
|
|
}
|
|
|
|
PluginFieldCollection const* EmbLayerNormPluginDynamicCreator::getFieldNames() noexcept
|
|
{
|
|
return &mFC;
|
|
}
|
|
|
|
IPluginV3* EmbLayerNormPluginDynamicCreator::createPlugin(
|
|
char const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept
|
|
{
|
|
try
|
|
{
|
|
BERT_DEBUG_MSG("EmbLayerNormPluginDynamic createPlugin.");
|
|
|
|
bool output_fp16 = false;
|
|
bool useFullMask = false;
|
|
Weights beta{}; // required attribute - validateRequiredAttributesExist() will verify existence
|
|
Weights gamma{}; // required attribute - validateRequiredAttributesExist() will verify existence
|
|
Weights word_emb{}; // required attribute - validateRequiredAttributesExist() will verify existence
|
|
Weights pos_emb{}; // required attribute - validateRequiredAttributesExist() will verify existence
|
|
Weights tok_emb{}; // required attribute - validateRequiredAttributesExist() will verify existence
|
|
int32_t mhaTypeId = 0;
|
|
std::set<std::string> const requiredAttributes{
|
|
"bert_embeddings_layernorm_beta",
|
|
"bert_embeddings_layernorm_gamma",
|
|
"bert_embeddings_word_embeddings",
|
|
"bert_embeddings_token_type_embeddings",
|
|
"bert_embeddings_position_embeddings",
|
|
};
|
|
plugin::validateRequiredAttributesExist(requiredAttributes, fc);
|
|
|
|
for (int32_t i = 0; i < fc->nbFields; i++)
|
|
{
|
|
std::string_view const field_name = fc->fields[i].name;
|
|
if (field_name == "bert_embeddings_layernorm_beta"sv)
|
|
{
|
|
BERT_DEBUG_MSG("Building bert_embeddings_layernorm_beta...");
|
|
beta.values = fc->fields[i].data;
|
|
beta.count = fc->fields[i].length;
|
|
beta.type = fieldTypeToDataType(fc->fields[i].type);
|
|
}
|
|
|
|
if (field_name == "bert_embeddings_layernorm_gamma"sv)
|
|
{
|
|
BERT_DEBUG_MSG("Building bert_embeddings_layernorm_gamma...");
|
|
gamma.values = fc->fields[i].data;
|
|
gamma.count = fc->fields[i].length;
|
|
gamma.type = fieldTypeToDataType(fc->fields[i].type);
|
|
}
|
|
|
|
if (field_name == "bert_embeddings_word_embeddings"sv)
|
|
{
|
|
BERT_DEBUG_MSG("Building bert_embeddings_word_embeddings...");
|
|
word_emb.values = fc->fields[i].data;
|
|
word_emb.count = fc->fields[i].length;
|
|
word_emb.type = fieldTypeToDataType(fc->fields[i].type);
|
|
}
|
|
|
|
if (field_name == "bert_embeddings_token_type_embeddings"sv)
|
|
{
|
|
BERT_DEBUG_MSG("Building bert_embeddings_token_type_embeddings...");
|
|
tok_emb.values = fc->fields[i].data;
|
|
tok_emb.count = fc->fields[i].length;
|
|
tok_emb.type = fieldTypeToDataType(fc->fields[i].type);
|
|
}
|
|
|
|
if (field_name == "bert_embeddings_position_embeddings"sv)
|
|
{
|
|
BERT_DEBUG_MSG("Building bert_embeddings_position_embeddings...");
|
|
pos_emb.values = fc->fields[i].data;
|
|
pos_emb.count = fc->fields[i].length;
|
|
pos_emb.type = fieldTypeToDataType(fc->fields[i].type);
|
|
}
|
|
if (field_name == "output_fp16"sv)
|
|
{
|
|
BERT_DEBUG_MSG("Building output_fp16...");
|
|
PLUGIN_VALIDATE(fc->fields[i].type == PluginFieldType::kINT32);
|
|
output_fp16 = static_cast<int32_t const*>(fc->fields[i].data)[0] != 0;
|
|
}
|
|
if (field_name == "full_mask"sv)
|
|
{
|
|
BERT_DEBUG_MSG("Building full_mask...");
|
|
PLUGIN_VALIDATE(fc->fields[i].type == PluginFieldType::kINT32);
|
|
useFullMask = static_cast<int32_t const*>(fc->fields[i].data)[0] != 0;
|
|
}
|
|
if (field_name == "mha_type_id"sv)
|
|
{
|
|
mhaTypeId = *static_cast<int32_t const*>(fc->fields[i].data);
|
|
PLUGIN_VALIDATE(mhaTypeId >= 0 && mhaTypeId <= 3);
|
|
BERT_DEBUG_VALUE("Building mha typeId: ", mhaTypeId);
|
|
}
|
|
}
|
|
|
|
BERT_DEBUG_MSG("Building the Plugin...");
|
|
DataType mhaType = static_cast<DataType>(mhaTypeId);
|
|
auto p = std::make_unique<EmbLayerNormPluginDynamic>(name, output_fp16 ? DataType::kHALF : DataType::kFLOAT,
|
|
mhaType, beta, gamma, word_emb, pos_emb, tok_emb, useFullMask);
|
|
return p.release();
|
|
}
|
|
catch (std::exception const& e)
|
|
{
|
|
caughtError(e);
|
|
}
|
|
return nullptr;
|
|
}
|
|
|
|
void EmbLayerNormPluginDynamicCreator::setPluginNamespace(char const* libNamespace) noexcept
|
|
{
|
|
try
|
|
{
|
|
mNamespace = libNamespace;
|
|
}
|
|
catch (std::exception const& e)
|
|
{
|
|
caughtError(e);
|
|
}
|
|
}
|
|
|
|
char const* EmbLayerNormPluginDynamicCreator::getPluginNamespace() const noexcept
|
|
{
|
|
return mNamespace.c_str();
|
|
}
|
|
|
|
#endif // CUDA_VERSION >= 10010
|