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++
/*
|
|
* 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 <cstdio>
|
|
|
|
#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<nvinfer1::PluginField> 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<char const*>(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<int const*>(inputs[0]);
|
|
|
|
int offset = mRank * localVocabSize;
|
|
|
|
if (mNbInputs == 3)
|
|
{
|
|
int8_t const* weight = reinterpret_cast<int8_t const*>(inputs[1]);
|
|
if (mType == DataType::kHALF)
|
|
{
|
|
half const* per_token_scales = reinterpret_cast<half const*>(inputs[2]);
|
|
half* output = reinterpret_cast<half*>(outputs[0]);
|
|
invokeLookUp<half, int8_t, int>(
|
|
output, input, weight, tokenNum, offset, localVocabSize, hidden, per_token_scales, stream);
|
|
}
|
|
else if (mType == DataType::kFLOAT)
|
|
{
|
|
float const* per_token_scales = reinterpret_cast<float const*>(inputs[2]);
|
|
float* output = reinterpret_cast<float*>(outputs[0]);
|
|
invokeLookUp<float, int8_t, int>(
|
|
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<half const*>(inputs[1]);
|
|
half* output = reinterpret_cast<half*>(outputs[0]);
|
|
invokeLookUp<half, half, int>(
|
|
output, input, weight, tokenNum, offset, localVocabSize, hidden, nullptr, stream);
|
|
}
|
|
else if (mType == DataType::kFLOAT)
|
|
{
|
|
float const* weight = reinterpret_cast<float const*>(inputs[1]);
|
|
float* output = reinterpret_cast<float*>(outputs[0]);
|
|
invokeLookUp<float, float, int>(
|
|
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<char*>(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<nvinfer1::DataType>(*(static_cast<nvinfer1::DataType const*>(fields[i].data)));
|
|
}
|
|
else if (!strcmp(attrName, "rank"))
|
|
{
|
|
TLLM_CHECK(fields[i].type == PluginFieldType::kINT32);
|
|
rank = static_cast<int>(*(static_cast<int const*>(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;
|
|
}
|