/* * SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION & * AFFILIATES. All rights reserved. SPDX-License-Identifier: Apache-2.0 * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include #include "lookupPlugin.h" #include "tensorrt_llm/kernels/lookupKernels.h" #include "tensorrt_llm/plugins/common/plugin.h" using namespace nvinfer1; using namespace tensorrt_llm::kernels; using namespace tensorrt_llm::common; using tensorrt_llm::plugins::LookupPluginCreator; using tensorrt_llm::plugins::LookupPlugin; static char const* LOOKUP_PLUGIN_VERSION{"1"}; static char const* LOOKUP_PLUGIN_NAME{"Lookup"}; PluginFieldCollection LookupPluginCreator::mFC{}; std::vector LookupPluginCreator::mPluginAttributes; LookupPlugin::LookupPlugin(nvinfer1::DataType type, int rank) : mType(type) , mRank(rank) { mArch = tensorrt_llm::common::getSMVersion(); } // Parameterized constructor LookupPlugin::LookupPlugin(void const* data, size_t length) { mArch = tensorrt_llm::common::getSMVersion(); char const *d = reinterpret_cast(data), *a = d; read(d, mType); read(d, mRank); TLLM_CHECK_WITH_INFO(d == a + length, "Expected length (%d) != real length (%d). This is often " "caused by using different TensorRT-LLM version to build " "engine and run engine.", (int) length, (int) (d - a)); } // IPluginV2DynamicExt Methods nvinfer1::IPluginV2DynamicExt* LookupPlugin::clone() const noexcept { auto* plugin = new LookupPlugin(*this); plugin->setPluginNamespace(mNamespace.c_str()); plugin->initialize(); return plugin; } nvinfer1::DimsExprs LookupPlugin::getOutputDimensions( int outputIndex, nvinfer1::DimsExprs const* inputs, int nbInputs, nvinfer1::IExprBuilder& exprBuilder) noexcept { try { TLLM_CHECK(nbInputs == 2 || nbInputs == 3); TLLM_CHECK(outputIndex == 0); DimsExprs ret; int const nbDimsInput = inputs[0].nbDims; int const nbDimsWeight = inputs[1].nbDims; ret.nbDims = nbDimsInput + 1; for (int i = 0; i < nbDimsInput; ++i) { ret.d[i] = inputs[0].d[i]; } ret.d[nbDimsInput] = inputs[1].d[nbDimsWeight - 1]; return ret; } catch (std::exception const& e) { caughtError(e); } return DimsExprs{}; } bool LookupPlugin::supportsFormatCombination( int pos, nvinfer1::PluginTensorDesc const* inOut, int nbInputs, int nbOutputs) noexcept { bool res = false; if (nbInputs == 2) { switch (pos) { case 0: res = ((inOut[0].type == DataType::kINT32) && (inOut[0].format == TensorFormat::kLINEAR)); break; case 1: res = ((inOut[1].type == mType) && (inOut[1].format == TensorFormat::kLINEAR)); break; case 2: res = ((inOut[2].type == mType) && (inOut[2].format == TensorFormat::kLINEAR)); break; default: // should NOT be here! res = false; } } else { TLLM_CHECK_WITH_INFO(mArch == 90, "int8 weight only lookupPlugin is only supported in SM 90 now."); switch (pos) { case 0: res = ((inOut[0].type == DataType::kINT32) && (inOut[0].format == TensorFormat::kLINEAR)); break; case 1: res = ((inOut[1].type == DataType::kINT8 || inOut[1].type == mType) && (inOut[1].format == TensorFormat::kLINEAR)); break; case 2: res = ((inOut[2].type == mType) && (inOut[2].format == TensorFormat::kLINEAR)); break; case 3: res = ((inOut[3].type == mType) && (inOut[3].format == TensorFormat::kLINEAR)); break; default: // should NOT be here! res = false; } } return res; } void LookupPlugin::configurePlugin(nvinfer1::DynamicPluginTensorDesc const* in, int nbInputs, nvinfer1::DynamicPluginTensorDesc const* out, int nbOutputs) noexcept { mNbInputs = nbInputs; } size_t LookupPlugin::getWorkspaceSize(nvinfer1::PluginTensorDesc const* inputs, int nbInputs, nvinfer1::PluginTensorDesc const* outputs, int nbOutputs) const noexcept { return 0; } int LookupPlugin::enqueue(nvinfer1::PluginTensorDesc const* inputDesc, nvinfer1::PluginTensorDesc const* outputDesc, void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept { // inputs // input [tokenNum] // weight [localVocabSize, hidden] // per_token_scales [localVocabSize], optional // outputs // embedding [tokenNum, hidden] int64_t tokenNum = 1; for (int i = 0; i < inputDesc[0].dims.nbDims; ++i) { tokenNum *= inputDesc[0].dims.d[i]; } int const localVocabSize = inputDesc[1].dims.d[0]; int const hidden = inputDesc[1].dims.d[inputDesc[1].dims.nbDims - 1]; int const* input = reinterpret_cast(inputs[0]); int offset = mRank * localVocabSize; if (mNbInputs == 3) { int8_t const* weight = reinterpret_cast(inputs[1]); if (mType == DataType::kHALF) { half const* per_token_scales = reinterpret_cast(inputs[2]); half* output = reinterpret_cast(outputs[0]); invokeLookUp( output, input, weight, tokenNum, offset, localVocabSize, hidden, per_token_scales, stream); } else if (mType == DataType::kFLOAT) { float const* per_token_scales = reinterpret_cast(inputs[2]); float* output = reinterpret_cast(outputs[0]); invokeLookUp( output, input, weight, tokenNum, offset, localVocabSize, hidden, per_token_scales, stream); } else if (mType == DataType::kBF16) { __nv_bfloat16 const* per_token_scales = reinterpret_cast<__nv_bfloat16 const*>(inputs[2]); __nv_bfloat16* output = reinterpret_cast<__nv_bfloat16*>(outputs[0]); invokeLookUp<__nv_bfloat16, int8_t, int>( output, input, weight, tokenNum, offset, localVocabSize, hidden, per_token_scales, stream); } } else { if (mType == DataType::kHALF) { half const* weight = reinterpret_cast(inputs[1]); half* output = reinterpret_cast(outputs[0]); invokeLookUp( output, input, weight, tokenNum, offset, localVocabSize, hidden, nullptr, stream); } else if (mType == DataType::kFLOAT) { float const* weight = reinterpret_cast(inputs[1]); float* output = reinterpret_cast(outputs[0]); invokeLookUp( output, input, weight, tokenNum, offset, localVocabSize, hidden, nullptr, stream); } else if (mType == DataType::kBF16) { __nv_bfloat16 const* weight = reinterpret_cast<__nv_bfloat16 const*>(inputs[1]); __nv_bfloat16* output = reinterpret_cast<__nv_bfloat16*>(outputs[0]); invokeLookUp<__nv_bfloat16, __nv_bfloat16, int>( output, input, weight, tokenNum, offset, localVocabSize, hidden, nullptr, stream); } } sync_check_cuda_error(stream); return 0; } // IPluginV2Ext Methods nvinfer1::DataType LookupPlugin::getOutputDataType( int index, nvinfer1::DataType const* inputTypes, int nbInputs) const noexcept { TLLM_CHECK(index == 0); return mType; } // IPluginV2 Methods char const* LookupPlugin::getPluginType() const noexcept { return LOOKUP_PLUGIN_NAME; } char const* LookupPlugin::getPluginVersion() const noexcept { return LOOKUP_PLUGIN_VERSION; } int LookupPlugin::getNbOutputs() const noexcept { return 1; } int LookupPlugin::initialize() noexcept { return 0; } void LookupPlugin::destroy() noexcept { delete this; } size_t LookupPlugin::getSerializationSize() const noexcept { return sizeof(mType) + sizeof(mRank); } void LookupPlugin::serialize(void* buffer) const noexcept { char *d = static_cast(buffer), *a = d; write(d, mType); write(d, mRank); TLLM_CHECK(d == a + getSerializationSize()); } void LookupPlugin::terminate() noexcept {} /////////////// LookupPluginCreator::LookupPluginCreator() { // Fill PluginFieldCollection with PluginField arguments metadata mPluginAttributes.clear(); mPluginAttributes.emplace_back(PluginField("type_id", nullptr, PluginFieldType::kINT32)); mPluginAttributes.emplace_back(PluginField("rank", nullptr, PluginFieldType::kINT32)); mFC.nbFields = mPluginAttributes.size(); mFC.fields = mPluginAttributes.data(); } char const* LookupPluginCreator::getPluginName() const noexcept { return LOOKUP_PLUGIN_NAME; } char const* LookupPluginCreator::getPluginVersion() const noexcept { return LOOKUP_PLUGIN_VERSION; } PluginFieldCollection const* LookupPluginCreator::getFieldNames() noexcept { return &mFC; } IPluginV2* LookupPluginCreator::createPlugin(char const* name, PluginFieldCollection const* fc) noexcept { PluginField const* fields = fc->fields; nvinfer1::DataType type{}; int rank{}; // Read configurations from each fields for (int i = 0; i < fc->nbFields; ++i) { char const* attrName = fields[i].name; if (!strcmp(attrName, "type_id")) { TLLM_CHECK(fields[i].type == PluginFieldType::kINT32); type = static_cast(*(static_cast(fields[i].data))); } else if (!strcmp(attrName, "rank")) { TLLM_CHECK(fields[i].type == PluginFieldType::kINT32); rank = static_cast(*(static_cast(fields[i].data))); } } try { auto* obj = new LookupPlugin(type, rank); obj->setPluginNamespace(mNamespace.c_str()); return obj; } catch (std::exception const& e) { caughtError(e); } return nullptr; } IPluginV2* LookupPluginCreator::deserializePlugin( char const* name, void const* serialData, size_t serialLength) noexcept { // This object will be deleted when the network is destroyed, which will // call LookupPlugin::destroy() try { auto* obj = new LookupPlugin(serialData, serialLength); obj->setPluginNamespace(mNamespace.c_str()); return obj; } catch (std::exception const& e) { caughtError(e); } return nullptr; }