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chore: import upstream snapshot with attribution
2026-07-13 13:36:55 +08:00

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C++

/*
* 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 "scatterElementsPluginKernel.h"
#include "scatterElementsPluginLegacy.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},
};
namespace
{
constexpr char const* kSCATTER_ELEMENTS_NAME{"ScatterElements"};
constexpr char const* kSCATTER_ELEMENTS_VERSION{"1"};
} // namespace
ScatterElementsPluginV2::ScatterElementsPluginV2(ReductionType reduction, int32_t dim)
: mReduction(reduction)
, mAxis(dim)
{
}
ScatterElementsPluginV2::ScatterElementsPluginV2(std::string const& reduction, int32_t dim)
: mReduction(kREDUCE_STR_TO_ENUM.at(reduction))
, mAxis(dim)
{
}
ScatterElementsPluginV2::ScatterElementsPluginV2(void const* serialData, size_t serialLength)
{
deserialize_value(&serialData, &serialLength, &mReduction);
deserialize_value(&serialData, &serialLength, &mAxis);
}
int32_t ScatterElementsPluginV2::getNbOutputs() const noexcept
{
return 1;
}
int32_t ScatterElementsPluginV2::initialize() noexcept
{
return 0;
}
char const* ScatterElementsPluginV2::getPluginType() const noexcept
{
return kSCATTER_ELEMENTS_NAME;
}
char const* ScatterElementsPluginV2::getPluginVersion() const noexcept
{
return kSCATTER_ELEMENTS_VERSION;
}
DimsExprs ScatterElementsPluginV2::getOutputDimensions(
int32_t index, DimsExprs const* inputs, int32_t nbInputs, IExprBuilder& exprBuilder) noexcept
{
try
{
PLUGIN_VALIDATE(nbInputs == 3);
PLUGIN_VALIDATE(inputs);
PLUGIN_VALIDATE(index <= kOUTPUT_TENSOR_IDX);
// both outputs are of the same size
DimsExprs out(inputs[kDATA_TENSOR_IDX]);
return out;
}
catch (std::exception const& e)
{
caughtError(e);
}
return DimsExprs();
}
int32_t ScatterElementsPluginV2::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 0;
}
catch (std::exception const& e)
{
caughtError(e);
return -1;
}
}
size_t ScatterElementsPluginV2::getSerializationSize() const noexcept
{
auto ret = serialized_size(mReduction) + serialized_size(mAxis);
return ret;
}
void ScatterElementsPluginV2::serialize(void* buffer) const noexcept
{
serialize_value(&buffer, mReduction);
serialize_value(&buffer, mAxis);
}
bool ScatterElementsPluginV2::supportsFormatCombination(
int32_t pos, PluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept
{
try
{
PLUGIN_VALIDATE(inOut && pos < (nbInputs + nbOutputs));
if (inOut[pos].format != PluginFormat::kLINEAR)
{
return false;
}
auto mytype = inOut[pos].type;
auto firsttype = inOut[kDATA_TENSOR_IDX].type;
// Only INT64 is supported for indices
return pos == kINDICES_TENSOR_IDX ? (mytype == DataType::kINT64)
: (mytype == firsttype)
&& (mytype == DataType::kFLOAT || mytype == DataType::kHALF
|| (hasBfloat16AtomicAdd() && mytype == DataType::kBF16) || mytype == DataType::kINT32
|| mytype == DataType::kINT64);
}
catch (std::exception const& e)
{
caughtError(e);
return false;
}
}
void ScatterElementsPluginV2::terminate() noexcept {}
void ScatterElementsPluginV2::destroy() noexcept
{
// This gets called when the network containing plugin is destroyed
delete this;
}
IPluginV2DynamicExt* ScatterElementsPluginV2::clone() const noexcept
{
auto plugin = std::make_unique<ScatterElementsPluginV2>(mReduction, mAxis);
plugin->setPluginNamespace(mNamespace.c_str());
return plugin.release();
}
void ScatterElementsPluginV2::configurePlugin(
DynamicPluginTensorDesc const* in, int32_t nbInputs, DynamicPluginTensorDesc const* out, int32_t nbOutputs) noexcept
{
try
{
PLUGIN_VALIDATE(nbInputs == 3);
}
catch (std::exception const& e)
{
caughtError(e);
}
}
DataType ScatterElementsPluginV2::getOutputDataType(
int32_t index, DataType const* inputTypes, int32_t nbInputs) const noexcept
{
try
{
PLUGIN_VALIDATE(inputTypes && nbInputs == 3 && index == kOUTPUT_TENSOR_IDX);
}
catch (std::exception const& e)
{
caughtError(e);
}
return inputTypes[kDATA_TENSOR_IDX];
}
size_t ScatterElementsPluginV2::getWorkspaceSize(
PluginTensorDesc const* inputs, int32_t nbInputs, PluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept
{
return 0;
}
void ScatterElementsPluginV2::setPluginNamespace(char const* libNamespace) noexcept
{
mNamespace = libNamespace;
}
char const* ScatterElementsPluginV2::getPluginNamespace() const noexcept
{
return mNamespace.c_str();
}
//
// ScatterElementsPluginV2Creator
//
ScatterElementsPluginV2Creator::ScatterElementsPluginV2Creator()
{
gPluginAttributes.clear();
gPluginAttributes.emplace_back(PluginField("reduction"));
gPluginAttributes.emplace_back(PluginField("axis"));
gFC.nbFields = gPluginAttributes.size();
gFC.fields = gPluginAttributes.data();
}
char const* ScatterElementsPluginV2Creator::getPluginName() const noexcept
{
return kSCATTER_ELEMENTS_NAME;
}
char const* ScatterElementsPluginV2Creator::getPluginVersion() const noexcept
{
return kSCATTER_ELEMENTS_VERSION;
}
PluginFieldCollection const* ScatterElementsPluginV2Creator::getFieldNames() noexcept
{
return &gFC;
}
char const* ScatterElementsPluginV2Creator::getPluginNamespace() const noexcept
{
return mNamespace.c_str();
}
void ScatterElementsPluginV2Creator::setPluginNamespace(char const* libNamespace) noexcept
{
mNamespace = libNamespace;
}
IPluginV2DynamicExt* ScatterElementsPluginV2Creator::createPlugin(
char const* name, PluginFieldCollection const* fc) 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 = 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<ScatterElementsPluginV2>(reductionArg, axisArg);
plugin->setPluginNamespace(mNamespace.c_str());
return plugin.release();
}
catch (std::exception& e)
{
caughtError(e);
}
return nullptr;
}
IPluginV2DynamicExt* ScatterElementsPluginV2Creator::deserializePlugin(
char const* name, void const* serialData, size_t serialLength) noexcept
{
auto plugin = std::make_unique<ScatterElementsPluginV2>(serialData, serialLength);
plugin->setPluginNamespace(mNamespace.c_str());
return plugin.release();
}
} // namespace nvinfer1::plugin