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nvidia--tensorrt/plugin/scatterElementsPlugin/scatterElementsPlugin.cpp
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chore: import upstream snapshot with attribution
2026-07-13 13:36:55 +08:00

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/*
* SPDX-FileCopyrightText: Copyright (c) 1993-2026 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 <algorithm>
#include <iostream>
#include <iterator>
#include <map>
#include <memory>
#include <string_view>
#include "common/serialize.hpp"
#include "scatterElementsPlugin.h"
#include "scatterElementsPluginKernel.h"
namespace nvinfer1::plugin
{
std::unordered_map<std::string, ReductionType> const kREDUCE_STR_TO_ENUM{
{"add", ReductionType::kSUM},
{"mean", ReductionType::kMEAN},
{"mul", ReductionType::kMUL},
{"min", ReductionType::kMIN},
{"max", ReductionType::kMAX},
};
std::unordered_map<ReductionType, std::string> const kREDUCE_ENUM_TO_STR{
{ReductionType::kSUM, "add"},
{ReductionType::kMEAN, "mean"},
{ReductionType::kMUL, "mul"},
{ReductionType::kMIN, "min"},
{ReductionType::kMAX, "max"},
};
namespace
{
constexpr char const* kSCATTER_PLUGIN_VERSION{"2"};
constexpr char const* kSCATTER_PLUGIN_NAME{"ScatterElements"};
} // namespace
ScatterElementsPluginV3::ScatterElementsPluginV3(ReductionType reduction, int32_t dim)
: mReduction(reduction)
, mAxis(dim)
{
}
ScatterElementsPluginV3::ScatterElementsPluginV3(std::string const& reduction, int32_t dim)
: mReduction(kREDUCE_STR_TO_ENUM.at(reduction))
, mAxis(dim)
{
}
int32_t ScatterElementsPluginV3::getNbOutputs() const noexcept
{
return 1;
}
IPluginCapability* ScatterElementsPluginV3::getCapabilityInterface(PluginCapabilityType type) noexcept
{
try
{
if (type == PluginCapabilityType::kBUILD)
{
return static_cast<IPluginV3OneBuild*>(this);
}
if (type == PluginCapabilityType::kRUNTIME)
{
return static_cast<IPluginV3OneRuntime*>(this);
}
PLUGIN_ASSERT(type == PluginCapabilityType::kCORE);
return static_cast<IPluginV3OneCore*>(this);
}
catch (std::exception const& e)
{
caughtError(e);
}
return nullptr;
}
char const* ScatterElementsPluginV3::getPluginVersion() const noexcept
{
return kSCATTER_PLUGIN_VERSION;
}
int32_t ScatterElementsPluginV3::getOutputShapes(DimsExprs const* inputs, int32_t nbInputs,
DimsExprs const* shapeInputs, int32_t nbShapeInputs, DimsExprs* outputs, int32_t nbOutputs,
IExprBuilder& exprBuilder) noexcept
{
try
{
PLUGIN_ASSERT(nbInputs == 3);
PLUGIN_ASSERT(inputs != nullptr);
PLUGIN_ASSERT(nbOutputs == 1);
outputs[kOUTPUT_TENSOR_IDX] = inputs[kDATA_TENSOR_IDX];
return pluginStatus_t::STATUS_SUCCESS;
}
catch (std::exception const& e)
{
caughtError(e);
}
return pluginStatus_t::STATUS_FAILURE;
}
int32_t ScatterElementsPluginV3::enqueue(PluginTensorDesc const* inputDesc, PluginTensorDesc const* outputDesc,
void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept
{
try
{
PLUGIN_VALIDATE(inputDesc[kINDICES_TENSOR_IDX].type == DataType::kINT64);
runScatterElementsKernel(outputs[kOUTPUT_TENSOR_IDX], inputs[kDATA_TENSOR_IDX], inputs[kUPDATES_TENSOR_IDX],
inputs[kINDICES_TENSOR_IDX], outputDesc[kOUTPUT_TENSOR_IDX], inputDesc[kDATA_TENSOR_IDX],
inputDesc[kUPDATES_TENSOR_IDX], inputDesc[kINDICES_TENSOR_IDX], mAxis, mReduction, stream);
return pluginStatus_t::STATUS_SUCCESS;
}
catch (std::exception const& e)
{
caughtError(e);
}
return -1;
}
int32_t ScatterElementsPluginV3::onShapeChange(
PluginTensorDesc const* in, int32_t nbInputs, PluginTensorDesc const* out, int32_t nbOutputs) noexcept
{
PLUGIN_ASSERT(in != nullptr);
PLUGIN_ASSERT(out != nullptr);
PLUGIN_ASSERT(nbOutputs == 1);
PLUGIN_ASSERT(nbInputs == 3);
auto rank = in[0].dims.nbDims;
// rank of input should be >=1
PLUGIN_ASSERT(rank >= 1);
// rank of indices should be same as rank of data
PLUGIN_ASSERT(in[1].dims.nbDims == rank);
// rank and shape of updates should be same as indices
PLUGIN_ASSERT(in[2].dims.nbDims == rank);
PLUGIN_VALIDATE(std::equal(in[2].dims.d, in[2].dims.d + rank, in[1].dims.d));
return pluginStatus_t::STATUS_SUCCESS;
}
PluginFieldCollection const* ScatterElementsPluginV3::getFieldsToSerialize() noexcept
{
mDataToSerialize.clear();
// "reduction" field is serialized as string
mDataToSerialize.emplace_back("reduction", kREDUCE_ENUM_TO_STR.at(mReduction).c_str(), PluginFieldType::kCHAR,
kREDUCE_ENUM_TO_STR.at(mReduction).size());
mDataToSerialize.emplace_back("axis", &mAxis, PluginFieldType::kINT32, 1);
mFCToSerialize.nbFields = mDataToSerialize.size();
mFCToSerialize.fields = mDataToSerialize.data();
return &mFCToSerialize;
}
bool ScatterElementsPluginV3::supportsFormatCombination(
int32_t pos, DynamicPluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept
{
try
{
PLUGIN_VALIDATE(inOut && pos < (nbInputs + nbOutputs));
if (inOut[pos].desc.format != PluginFormat::kLINEAR)
{
return false;
}
auto currentType = inOut[pos].desc.type;
auto firstType = inOut[kDATA_TENSOR_IDX].desc.type;
// Only INT64 is supported for indices
return pos == kINDICES_TENSOR_IDX ? (currentType == DataType::kINT64)
: (currentType == firstType)
&& (currentType == DataType::kFLOAT || currentType == DataType::kHALF
|| (hasBfloat16AtomicAdd() && currentType == DataType::kBF16) || currentType == DataType::kINT32
|| currentType == DataType::kINT64);
}
catch (std::exception const& e)
{
caughtError(e);
return false;
}
}
ScatterElementsPluginV3* ScatterElementsPluginV3::clone() noexcept
{
try
{
auto plugin = std::make_unique<ScatterElementsPluginV3>(mReduction, mAxis);
plugin->setPluginNamespace(mNamespace.c_str());
return plugin.release();
}
catch (std::exception const& e)
{
caughtError(e);
}
return nullptr;
}
IPluginV3* ScatterElementsPluginV3::attachToContext(IPluginResourceContext* context) noexcept
{
ScatterElementsPluginV3* obj = clone();
return obj;
}
int32_t ScatterElementsPluginV3::configurePlugin(
DynamicPluginTensorDesc const* in, int32_t nbInputs, DynamicPluginTensorDesc const* out, int32_t nbOutputs) noexcept
{
try
{
PLUGIN_VALIDATE(nbInputs == 3);
return pluginStatus_t::STATUS_SUCCESS;
}
catch (std::exception const& e)
{
caughtError(e);
}
return pluginStatus_t::STATUS_FAILURE;
}
int32_t ScatterElementsPluginV3::getOutputDataTypes(
DataType* outputTypes, int32_t nbOutputs, DataType const* inputTypes, int32_t nbInputs) const noexcept
{
try
{
PLUGIN_ASSERT(inputTypes != nullptr);
PLUGIN_ASSERT(nbInputs == 3);
PLUGIN_ASSERT(nbOutputs == 1);
outputTypes[kOUTPUT_TENSOR_IDX] = inputTypes[kDATA_TENSOR_IDX];
return pluginStatus_t::STATUS_SUCCESS;
}
catch (std::exception const& e)
{
caughtError(e);
}
return pluginStatus_t::STATUS_FAILURE;
}
size_t ScatterElementsPluginV3::getWorkspaceSize(DynamicPluginTensorDesc const* inputs, int32_t nbInputs,
DynamicPluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept
{
return 0;
}
void ScatterElementsPluginV3::setPluginNamespace(char const* libNamespace) noexcept
{
try
{
PLUGIN_ASSERT(libNamespace != nullptr);
mNamespace = libNamespace;
}
catch (std::exception const& e)
{
caughtError(e);
}
}
char const* ScatterElementsPluginV3::getPluginName() const noexcept
{
return kSCATTER_PLUGIN_NAME;
}
char const* ScatterElementsPluginV3::getPluginNamespace() const noexcept
{
return mNamespace.c_str();
}
//
// ScatterElementsPluginV3Creator
//
ScatterElementsPluginV3Creator::ScatterElementsPluginV3Creator()
{
static std::mutex sMutex;
std::lock_guard<std::mutex> guard(sMutex);
gPluginAttributes.clear();
gPluginAttributes.emplace_back(PluginField("reduction"));
gPluginAttributes.emplace_back(PluginField("axis"));
gFC.nbFields = gPluginAttributes.size();
gFC.fields = gPluginAttributes.data();
}
char const* ScatterElementsPluginV3Creator::getPluginName() const noexcept
{
return kSCATTER_PLUGIN_NAME;
}
char const* ScatterElementsPluginV3Creator::getPluginVersion() const noexcept
{
return kSCATTER_PLUGIN_VERSION;
}
PluginFieldCollection const* ScatterElementsPluginV3Creator::getFieldNames() noexcept
{
return &gFC;
}
char const* ScatterElementsPluginV3Creator::getPluginNamespace() const noexcept
{
return mNamespace.c_str();
}
void ScatterElementsPluginV3Creator::setPluginNamespace(char const* libNamespace) noexcept
{
PLUGIN_VALIDATE(libNamespace != nullptr);
mNamespace = libNamespace;
}
IPluginV3* ScatterElementsPluginV3Creator::createPlugin(
char const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept
{
std::string reductionArg;
int32_t axisArg = 0;
try
{
PLUGIN_VALIDATE(fc != nullptr);
auto fields = fc->fields;
std::set<std::string> requiredFields{"reduction"};
plugin::validateRequiredAttributesExist(requiredFields, fc);
using namespace std::string_view_literals;
for (int32_t i = 0; i < fc->nbFields; ++i)
{
PLUGIN_VALIDATE(fields[i].name != nullptr);
PLUGIN_VALIDATE(fields[i].data != nullptr);
if (fields[i].name == "axis"sv)
{
auto data = static_cast<int32_t const*>(fields[i].data);
axisArg = *data;
}
else if (fields[i].name == "reduction"sv)
{
auto data = static_cast<char const*>(fields[i].data);
reductionArg = fields[i].length != -1 ? std::string(data, fields[i].length) : std::string(data);
}
}
PLUGIN_VALIDATE(kREDUCE_STR_TO_ENUM.find(reductionArg) != kREDUCE_STR_TO_ENUM.end(),
(reductionArg + ": invalid value for 'reduction' plugin argument").c_str());
auto plugin = std::make_unique<ScatterElementsPluginV3>(reductionArg, axisArg);
plugin->setPluginNamespace(mNamespace.c_str());
return plugin.release();
}
catch (std::exception& e)
{
caughtError(e);
}
return nullptr;
}
} // namespace nvinfer1::plugin