mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
342 lines
11 KiB
C++
342 lines
11 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2022 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 <cstdio>
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#include "lookupPlugin.h"
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#include "tensorrt_llm/kernels/lookupKernels.h"
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#include "tensorrt_llm/plugins/common/plugin.h"
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using namespace nvinfer1;
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using namespace tensorrt_llm::kernels;
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using namespace tensorrt_llm::common;
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using tensorrt_llm::plugins::LookupPluginCreator;
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using tensorrt_llm::plugins::LookupPlugin;
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static char const* LOOKUP_PLUGIN_VERSION{"1"};
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static char const* LOOKUP_PLUGIN_NAME{"Lookup"};
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PluginFieldCollection LookupPluginCreator::mFC{};
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std::vector<nvinfer1::PluginField> LookupPluginCreator::mPluginAttributes;
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LookupPlugin::LookupPlugin(nvinfer1::DataType type, int rank)
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: mType(type)
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, mRank(rank)
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{
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mArch = tensorrt_llm::common::getSMVersion();
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}
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// Parameterized constructor
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LookupPlugin::LookupPlugin(void const* data, size_t length)
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{
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mArch = tensorrt_llm::common::getSMVersion();
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char const *d = reinterpret_cast<char const*>(data), *a = d;
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read(d, mType);
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read(d, mRank);
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TLLM_CHECK_WITH_INFO(d == a + length,
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"Expected length (%d) != real length (%d). This is often "
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"caused by using different TensorRT-LLM version to build "
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"engine and run engine.",
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(int) length, (int) (d - a));
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}
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// IPluginV2DynamicExt Methods
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nvinfer1::IPluginV2DynamicExt* LookupPlugin::clone() const noexcept
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{
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auto* plugin = new LookupPlugin(*this);
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plugin->setPluginNamespace(mNamespace.c_str());
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plugin->initialize();
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return plugin;
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}
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nvinfer1::DimsExprs LookupPlugin::getOutputDimensions(
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int outputIndex, nvinfer1::DimsExprs const* inputs, int nbInputs, nvinfer1::IExprBuilder& exprBuilder) noexcept
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{
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try
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{
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TLLM_CHECK(nbInputs == 2 || nbInputs == 3);
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TLLM_CHECK(outputIndex == 0);
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DimsExprs ret;
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int const nbDimsInput = inputs[0].nbDims;
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int const nbDimsWeight = inputs[1].nbDims;
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ret.nbDims = nbDimsInput + 1;
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for (int i = 0; i < nbDimsInput; ++i)
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{
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ret.d[i] = inputs[0].d[i];
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}
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ret.d[nbDimsInput] = inputs[1].d[nbDimsWeight - 1];
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return ret;
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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 DimsExprs{};
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}
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bool LookupPlugin::supportsFormatCombination(
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int pos, nvinfer1::PluginTensorDesc const* inOut, int nbInputs, int nbOutputs) noexcept
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{
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bool res = false;
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if (nbInputs == 2)
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{
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switch (pos)
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{
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case 0: res = ((inOut[0].type == DataType::kINT32) && (inOut[0].format == TensorFormat::kLINEAR)); break;
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case 1: res = ((inOut[1].type == mType) && (inOut[1].format == TensorFormat::kLINEAR)); break;
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case 2: res = ((inOut[2].type == mType) && (inOut[2].format == TensorFormat::kLINEAR)); break;
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default: // should NOT be here!
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res = false;
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}
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}
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else
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{
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TLLM_CHECK_WITH_INFO(mArch == 90, "int8 weight only lookupPlugin is only supported in SM 90 now.");
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switch (pos)
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{
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case 0: res = ((inOut[0].type == DataType::kINT32) && (inOut[0].format == TensorFormat::kLINEAR)); break;
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case 1:
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res = ((inOut[1].type == DataType::kINT8 || inOut[1].type == mType)
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&& (inOut[1].format == TensorFormat::kLINEAR));
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break;
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case 2: res = ((inOut[2].type == mType) && (inOut[2].format == TensorFormat::kLINEAR)); break;
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case 3: res = ((inOut[3].type == mType) && (inOut[3].format == TensorFormat::kLINEAR)); break;
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default: // should NOT be here!
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res = false;
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}
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}
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return res;
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}
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void LookupPlugin::configurePlugin(nvinfer1::DynamicPluginTensorDesc const* in, int nbInputs,
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nvinfer1::DynamicPluginTensorDesc const* out, int nbOutputs) noexcept
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{
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mNbInputs = nbInputs;
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}
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size_t LookupPlugin::getWorkspaceSize(nvinfer1::PluginTensorDesc const* inputs, int nbInputs,
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nvinfer1::PluginTensorDesc const* outputs, int nbOutputs) const noexcept
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{
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return 0;
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}
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int LookupPlugin::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
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{
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// inputs
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// input [tokenNum]
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// weight [localVocabSize, hidden]
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// per_token_scales [localVocabSize], optional
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// outputs
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// embedding [tokenNum, hidden]
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int64_t tokenNum = 1;
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for (int i = 0; i < inputDesc[0].dims.nbDims; ++i)
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{
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tokenNum *= inputDesc[0].dims.d[i];
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}
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int const localVocabSize = inputDesc[1].dims.d[0];
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int const hidden = inputDesc[1].dims.d[inputDesc[1].dims.nbDims - 1];
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int const* input = reinterpret_cast<int const*>(inputs[0]);
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int offset = mRank * localVocabSize;
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if (mNbInputs == 3)
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{
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int8_t const* weight = reinterpret_cast<int8_t const*>(inputs[1]);
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if (mType == DataType::kHALF)
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{
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half const* per_token_scales = reinterpret_cast<half const*>(inputs[2]);
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half* output = reinterpret_cast<half*>(outputs[0]);
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invokeLookUp<half, int8_t, int>(
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output, input, weight, tokenNum, offset, localVocabSize, hidden, per_token_scales, stream);
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}
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else if (mType == DataType::kFLOAT)
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{
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float const* per_token_scales = reinterpret_cast<float const*>(inputs[2]);
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float* output = reinterpret_cast<float*>(outputs[0]);
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invokeLookUp<float, int8_t, int>(
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output, input, weight, tokenNum, offset, localVocabSize, hidden, per_token_scales, stream);
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}
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else if (mType == DataType::kBF16)
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{
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__nv_bfloat16 const* per_token_scales = reinterpret_cast<__nv_bfloat16 const*>(inputs[2]);
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__nv_bfloat16* output = reinterpret_cast<__nv_bfloat16*>(outputs[0]);
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invokeLookUp<__nv_bfloat16, int8_t, int>(
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output, input, weight, tokenNum, offset, localVocabSize, hidden, per_token_scales, stream);
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}
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}
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else
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{
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if (mType == DataType::kHALF)
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{
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half const* weight = reinterpret_cast<half const*>(inputs[1]);
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half* output = reinterpret_cast<half*>(outputs[0]);
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invokeLookUp<half, half, int>(
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output, input, weight, tokenNum, offset, localVocabSize, hidden, nullptr, stream);
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}
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else if (mType == DataType::kFLOAT)
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{
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float const* weight = reinterpret_cast<float const*>(inputs[1]);
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float* output = reinterpret_cast<float*>(outputs[0]);
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invokeLookUp<float, float, int>(
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output, input, weight, tokenNum, offset, localVocabSize, hidden, nullptr, stream);
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}
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else if (mType == DataType::kBF16)
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{
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__nv_bfloat16 const* weight = reinterpret_cast<__nv_bfloat16 const*>(inputs[1]);
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__nv_bfloat16* output = reinterpret_cast<__nv_bfloat16*>(outputs[0]);
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invokeLookUp<__nv_bfloat16, __nv_bfloat16, int>(
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output, input, weight, tokenNum, offset, localVocabSize, hidden, nullptr, stream);
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}
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}
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sync_check_cuda_error(stream);
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return 0;
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}
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// IPluginV2Ext Methods
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nvinfer1::DataType LookupPlugin::getOutputDataType(
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int index, nvinfer1::DataType const* inputTypes, int nbInputs) const noexcept
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{
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TLLM_CHECK(index == 0);
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return mType;
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}
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// IPluginV2 Methods
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char const* LookupPlugin::getPluginType() const noexcept
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{
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return LOOKUP_PLUGIN_NAME;
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}
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char const* LookupPlugin::getPluginVersion() const noexcept
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{
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return LOOKUP_PLUGIN_VERSION;
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}
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int LookupPlugin::getNbOutputs() const noexcept
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{
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return 1;
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}
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int LookupPlugin::initialize() noexcept
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{
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return 0;
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}
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void LookupPlugin::destroy() noexcept
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{
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delete this;
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}
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size_t LookupPlugin::getSerializationSize() const noexcept
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{
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return sizeof(mType) + sizeof(mRank);
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}
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void LookupPlugin::serialize(void* buffer) const noexcept
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{
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char *d = static_cast<char*>(buffer), *a = d;
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write(d, mType);
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write(d, mRank);
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TLLM_CHECK(d == a + getSerializationSize());
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}
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void LookupPlugin::terminate() noexcept {}
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///////////////
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LookupPluginCreator::LookupPluginCreator()
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{
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// Fill PluginFieldCollection with PluginField arguments metadata
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mPluginAttributes.clear();
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mPluginAttributes.emplace_back(PluginField("type_id", nullptr, PluginFieldType::kINT32));
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mPluginAttributes.emplace_back(PluginField("rank", nullptr, PluginFieldType::kINT32));
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mFC.nbFields = mPluginAttributes.size();
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mFC.fields = mPluginAttributes.data();
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}
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char const* LookupPluginCreator::getPluginName() const noexcept
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{
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return LOOKUP_PLUGIN_NAME;
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}
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char const* LookupPluginCreator::getPluginVersion() const noexcept
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{
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return LOOKUP_PLUGIN_VERSION;
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}
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PluginFieldCollection const* LookupPluginCreator::getFieldNames() noexcept
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{
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return &mFC;
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}
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IPluginV2* LookupPluginCreator::createPlugin(char const* name, PluginFieldCollection const* fc) noexcept
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{
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PluginField const* fields = fc->fields;
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nvinfer1::DataType type{};
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int rank{};
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// Read configurations from each fields
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for (int i = 0; i < fc->nbFields; ++i)
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{
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char const* attrName = fields[i].name;
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if (!strcmp(attrName, "type_id"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT32);
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type = static_cast<nvinfer1::DataType>(*(static_cast<nvinfer1::DataType const*>(fields[i].data)));
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}
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else if (!strcmp(attrName, "rank"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT32);
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rank = static_cast<int>(*(static_cast<int const*>(fields[i].data)));
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}
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}
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try
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{
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auto* obj = new LookupPlugin(type, rank);
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obj->setPluginNamespace(mNamespace.c_str());
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return obj;
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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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IPluginV2* LookupPluginCreator::deserializePlugin(
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char const* name, void const* serialData, size_t serialLength) noexcept
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{
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// This object will be deleted when the network is destroyed, which will
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// call LookupPlugin::destroy()
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try
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{
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auto* obj = new LookupPlugin(serialData, serialLength);
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obj->setPluginNamespace(mNamespace.c_str());
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return obj;
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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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