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nvidia--tensorrt/samples/sampleSafePluginV3/maxPoolPluginCreator.cpp
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/*
* SPDX-FileCopyrightText: Copyright (c) 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 <cstring>
#include <exception>
#include <iostream>
#include <memory>
#include <mutex>
#include <sstream>
#include <string_view>
#include "NvInferSafePlugin.h"
#include "NvInferSafeRuntime.h"
#include "maxPoolPluginCreator.h"
namespace nvinfer1::plugin
{
namespace
{
using namespace std::string_view_literals;
//! Like C++23's `container.append_range(std::span(data, count))`.
template <typename Container, typename T>
void appendRange(Container& container, T* data, int64_t count)
{
container.insert(container.end(), data, data + count);
}
//! \return PoolParameters parsed from the given `PluginField`s.
//! \param fields, nbFields: A span of fields.
[[nodiscard]] PoolParameters parsePoolParameters(nvinfer1::PluginField const* const fields, int32_t const nbFields)
{
std::vector<int32_t> kernelShape;
std::vector<int32_t> strides;
std::vector<int32_t> pads;
PoolingType pType{PoolingType::kMAX}; // Default to MAX pooling
for (int32_t i{0}; i < nbFields; ++i)
{
auto const& field = fields[i];
std::string_view const attrName = field.name;
if (attrName == "kernel_shape"sv)
{
appendRange(kernelShape, static_cast<int32_t const*>(field.data), field.length);
}
else if (attrName == "strides"sv)
{
appendRange(strides, static_cast<int32_t const*>(field.data), field.length);
}
else if (attrName == "pads"sv)
{
appendRange(pads, static_cast<int32_t const*>(field.data), field.length);
}
else if (attrName == "pType"sv && field.data != nullptr)
{
pType = *static_cast<PoolingType const*>(field.data);
}
}
PoolParameters result{};
result.pType = pType;
result.Sx = strides.at(0);
result.Sy = strides.at(1);
result.Kx = kernelShape.at(0);
result.Ky = kernelShape.at(1);
result.Px = pads.at(0);
result.Py = pads.at(1);
return result;
}
} // namespace
IPluginV3* MaxPoolCreator::createPlugin(char const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept
{
// The build phase and the deserialization phase are handled differently.
switch (phase)
{
case TensorRTPhase::kBUILD:
return std::make_unique<MaxPoolPlugin>(parsePoolParameters(fc->fields, fc->nbFields)).release();
case TensorRTPhase::kRUNTIME:
return std::make_unique<MaxPoolPlugin>(*static_cast<PoolParameters const*>(fc->fields[0].data)).release();
}
return nullptr;
}
} // namespace nvinfer1::plugin