mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
294 lines
8.5 KiB
C++
294 lines
8.5 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 "cudaStreamPlugin.h"
|
|
#include "tensorrt_llm/runtime/iBuffer.h"
|
|
|
|
#include <cassert>
|
|
|
|
using namespace nvinfer1;
|
|
using tensorrt_llm::plugins::CudaStreamPluginCreator;
|
|
using tensorrt_llm::plugins::CudaStreamPlugin;
|
|
|
|
static char const* CUDA_STREAM_PLUGIN_VERSION{"1"};
|
|
static char const* CUDA_STREAM_PLUGIN_NAME{"CudaStream"};
|
|
PluginFieldCollection CudaStreamPluginCreator::mFC{};
|
|
std::vector<nvinfer1::PluginField> CudaStreamPluginCreator::mPluginAttributes;
|
|
|
|
CudaStreamPlugin::CudaStreamPlugin(int sideStreamId, int nbInputs, nvinfer1::DataType type)
|
|
: mSideStreamId(sideStreamId)
|
|
, mNbInputs(nbInputs)
|
|
, mType(type)
|
|
{
|
|
init();
|
|
}
|
|
|
|
CudaStreamPlugin::CudaStreamPlugin(void const* data, size_t length)
|
|
{
|
|
char const *d = reinterpret_cast<char const*>(data), *a = d;
|
|
read(d, mSideStreamId);
|
|
read(d, mNbInputs);
|
|
read(d, mType);
|
|
|
|
init();
|
|
|
|
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));
|
|
}
|
|
|
|
CudaStreamPlugin::CudaStreamPlugin(CudaStreamPlugin const& other)
|
|
: mSideStreamId(other.mSideStreamId)
|
|
, mNbInputs(other.mNbInputs)
|
|
, mType(other.mType)
|
|
{
|
|
init();
|
|
}
|
|
|
|
void CudaStreamPlugin::init()
|
|
{
|
|
mSideStreamPtr = nullptr;
|
|
}
|
|
|
|
// IPluginV2DynamicExt Methods
|
|
nvinfer1::IPluginV2DynamicExt* CudaStreamPlugin::clone() const noexcept
|
|
{
|
|
auto* plugin = new CudaStreamPlugin(*this);
|
|
plugin->setPluginNamespace(mNamespace.c_str());
|
|
return plugin;
|
|
}
|
|
|
|
nvinfer1::DimsExprs CudaStreamPlugin::getOutputDimensions(
|
|
int outputIndex, nvinfer1::DimsExprs const* inputs, int nbInputs, nvinfer1::IExprBuilder& exprBuilder) noexcept
|
|
{
|
|
assert(outputIndex == 0);
|
|
return inputs[outputIndex];
|
|
}
|
|
|
|
bool CudaStreamPlugin::supportsFormatCombination(
|
|
int pos, nvinfer1::PluginTensorDesc const* inOut, int nbInputs, int nbOutputs) noexcept
|
|
{
|
|
TLLM_CHECK_WITH_INFO(nbInputs == mNbInputs, "CudaStreamPlugin only accepts mNbInputs inputs");
|
|
TLLM_CHECK_WITH_INFO(nbOutputs == 1, "CudaStreamPlugin only accepts 1 output");
|
|
|
|
auto const& desc = inOut[pos];
|
|
if (desc.format != TensorFormat::kLINEAR)
|
|
{
|
|
return false;
|
|
}
|
|
|
|
if (pos > 0 && pos < nbInputs)
|
|
{
|
|
return true;
|
|
}
|
|
return desc.type == mType;
|
|
}
|
|
|
|
void CudaStreamPlugin::configurePlugin(nvinfer1::DynamicPluginTensorDesc const* in, int nbInputs,
|
|
nvinfer1::DynamicPluginTensorDesc const* out, int nbOutputs) noexcept
|
|
{
|
|
}
|
|
|
|
size_t CudaStreamPlugin::getWorkspaceSize(nvinfer1::PluginTensorDesc const* inputs, int nbInputs,
|
|
nvinfer1::PluginTensorDesc const* outputs, int nbOutputs) const noexcept
|
|
{
|
|
return 0;
|
|
}
|
|
|
|
int CudaStreamPlugin::enqueue(nvinfer1::PluginTensorDesc const* inputDesc, nvinfer1::PluginTensorDesc const* outputDesc,
|
|
void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept
|
|
{
|
|
if (!mSideStreamPtr)
|
|
{
|
|
auto const resource_name = nvinfer1::pluginInternal::SideStream::getResourceKey(mSideStreamId);
|
|
nvinfer1::pluginInternal::SideStream side_stream{};
|
|
mSideStreamPtr = reinterpret_cast<nvinfer1::pluginInternal::SideStream*>(
|
|
getPluginRegistry()->acquirePluginResource(resource_name.c_str(), &side_stream));
|
|
}
|
|
mSideStreamPtr->waitSideStreamOnMainStream(stream);
|
|
size_t count = 1;
|
|
for (int i = 0; i < inputDesc[0].dims.nbDims; ++i)
|
|
{
|
|
count *= inputDesc[0].dims.d[i];
|
|
}
|
|
count *= tensorrt_llm::runtime::BufferDataType(inputDesc[0].type).getSize();
|
|
TLLM_CUDA_CHECK(cudaMemcpyAsync(outputs[0], inputs[0], count, cudaMemcpyDeviceToDevice, stream));
|
|
|
|
return 0;
|
|
}
|
|
|
|
// IPluginV2Ext Methods
|
|
nvinfer1::DataType CudaStreamPlugin::getOutputDataType(
|
|
int index, nvinfer1::DataType const* inputTypes, int nbInputs) const noexcept
|
|
{
|
|
TLLM_CHECK(index == 0);
|
|
return mType;
|
|
}
|
|
|
|
// IPluginV2 Methods
|
|
|
|
char const* CudaStreamPlugin::getPluginType() const noexcept
|
|
{
|
|
return CUDA_STREAM_PLUGIN_NAME;
|
|
}
|
|
|
|
char const* CudaStreamPlugin::getPluginVersion() const noexcept
|
|
{
|
|
return CUDA_STREAM_PLUGIN_VERSION;
|
|
}
|
|
|
|
int CudaStreamPlugin::getNbOutputs() const noexcept
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
int CudaStreamPlugin::initialize() noexcept
|
|
{
|
|
return 0;
|
|
}
|
|
|
|
void CudaStreamPlugin::terminate() noexcept
|
|
{
|
|
if (mSideStreamPtr)
|
|
{
|
|
auto const resource_name = nvinfer1::pluginInternal::SideStream::getResourceKey(mSideStreamId);
|
|
getPluginRegistry()->releasePluginResource(resource_name.c_str());
|
|
mSideStreamPtr = nullptr;
|
|
}
|
|
}
|
|
|
|
size_t CudaStreamPlugin::getSerializationSize() const noexcept
|
|
{
|
|
return sizeof(mSideStreamId) + sizeof(mNbInputs) + sizeof(mType);
|
|
}
|
|
|
|
void CudaStreamPlugin::serialize(void* buffer) const noexcept
|
|
{
|
|
char *d = static_cast<char*>(buffer), *a = d;
|
|
write(d, mSideStreamId);
|
|
write(d, mNbInputs);
|
|
write(d, mType);
|
|
TLLM_CHECK(d == a + getSerializationSize());
|
|
}
|
|
|
|
void CudaStreamPlugin::destroy() noexcept
|
|
{
|
|
delete this;
|
|
}
|
|
|
|
///////////////
|
|
|
|
CudaStreamPluginCreator::CudaStreamPluginCreator()
|
|
{
|
|
// Fill PluginFieldCollection with PluginField arguments metadata
|
|
mPluginAttributes.clear();
|
|
mPluginAttributes.emplace_back(PluginField("side_stream_id", nullptr, PluginFieldType::kINT32));
|
|
mPluginAttributes.emplace_back(PluginField("num_inputs", nullptr, PluginFieldType::kINT32));
|
|
mPluginAttributes.emplace_back(PluginField("type_id", nullptr, PluginFieldType::kINT32));
|
|
mFC.nbFields = mPluginAttributes.size();
|
|
mFC.fields = mPluginAttributes.data();
|
|
}
|
|
|
|
char const* CudaStreamPluginCreator::getPluginName() const noexcept
|
|
{
|
|
return CUDA_STREAM_PLUGIN_NAME;
|
|
}
|
|
|
|
char const* CudaStreamPluginCreator::getPluginVersion() const noexcept
|
|
{
|
|
return CUDA_STREAM_PLUGIN_VERSION;
|
|
}
|
|
|
|
PluginFieldCollection const* CudaStreamPluginCreator::getFieldNames() noexcept
|
|
{
|
|
return &mFC;
|
|
}
|
|
|
|
IPluginV2* CudaStreamPluginCreator::createPlugin(char const* name, PluginFieldCollection const* fc) noexcept
|
|
{
|
|
PluginField const* fields = fc->fields;
|
|
int sideStreamId;
|
|
int nbInputs;
|
|
int type;
|
|
|
|
// Read configurations from each fields
|
|
struct MapPair
|
|
{
|
|
char const* key;
|
|
int& field;
|
|
bool optional = false;
|
|
bool set = false;
|
|
};
|
|
|
|
std::array input_map{
|
|
MapPair{"side_stream_id", std::ref(sideStreamId)},
|
|
MapPair{"num_inputs", std::ref(nbInputs)},
|
|
MapPair{"type_id", std::ref(type)},
|
|
};
|
|
for (int i = 0; i < fc->nbFields; ++i)
|
|
{
|
|
char const* attrName = fields[i].name;
|
|
for (auto& item : input_map)
|
|
{
|
|
if (!strcmp(item.key, attrName))
|
|
{
|
|
TLLM_CHECK(fields[i].type == nvinfer1::PluginFieldType::kINT32);
|
|
TLLM_CHECK_WITH_INFO(!item.set, "Parameter %s was set twice", item.key);
|
|
item.field = static_cast<int>(*(static_cast<int const*>(fields[i].data)));
|
|
item.set = true;
|
|
}
|
|
}
|
|
}
|
|
|
|
for (auto& item : input_map)
|
|
{
|
|
TLLM_CHECK_WITH_INFO(item.set || item.optional, "Parameter %s is required but not set", item.key);
|
|
}
|
|
|
|
try
|
|
{
|
|
auto* obj = new CudaStreamPlugin(sideStreamId, nbInputs, static_cast<nvinfer1::DataType>(type));
|
|
obj->setPluginNamespace(mNamespace.c_str());
|
|
return obj;
|
|
}
|
|
catch (std::exception const& e)
|
|
{
|
|
caughtError(e);
|
|
}
|
|
return nullptr;
|
|
}
|
|
|
|
IPluginV2* CudaStreamPluginCreator::deserializePlugin(
|
|
char const* name, void const* serialData, size_t serialLength) noexcept
|
|
{
|
|
// This object will be deleted when the network is destroyed, which will
|
|
// call CudaStreamPlugin::destroy()
|
|
try
|
|
{
|
|
auto* obj = new CudaStreamPlugin(serialData, serialLength);
|
|
obj->setPluginNamespace(mNamespace.c_str());
|
|
return obj;
|
|
}
|
|
catch (std::exception const& e)
|
|
{
|
|
caughtError(e);
|
|
}
|
|
return nullptr;
|
|
}
|