chore: import upstream snapshot with attribution
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/*
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* SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <cstring>
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#include <exception>
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#include <iostream>
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#include <memory>
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#include <mutex>
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#include <sstream>
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#include <string_view>
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#include "NvInferSafePlugin.h"
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#include "NvInferSafeRuntime.h"
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#include "maxPoolPluginCreator.h"
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namespace nvinfer1::plugin
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{
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namespace
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{
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using namespace std::string_view_literals;
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//! Like C++23's `container.append_range(std::span(data, count))`.
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template <typename Container, typename T>
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void appendRange(Container& container, T* data, int64_t count)
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{
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container.insert(container.end(), data, data + count);
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}
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//! \return PoolParameters parsed from the given `PluginField`s.
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//! \param fields, nbFields: A span of fields.
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[[nodiscard]] PoolParameters parsePoolParameters(nvinfer1::PluginField const* const fields, int32_t const nbFields)
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{
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std::vector<int32_t> kernelShape;
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std::vector<int32_t> strides;
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std::vector<int32_t> pads;
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PoolingType pType{PoolingType::kMAX}; // Default to MAX pooling
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for (int32_t i{0}; i < nbFields; ++i)
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{
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auto const& field = fields[i];
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std::string_view const attrName = field.name;
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if (attrName == "kernel_shape"sv)
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{
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appendRange(kernelShape, static_cast<int32_t const*>(field.data), field.length);
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}
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else if (attrName == "strides"sv)
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{
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appendRange(strides, static_cast<int32_t const*>(field.data), field.length);
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}
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else if (attrName == "pads"sv)
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{
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appendRange(pads, static_cast<int32_t const*>(field.data), field.length);
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}
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else if (attrName == "pType"sv && field.data != nullptr)
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{
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pType = *static_cast<PoolingType const*>(field.data);
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}
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}
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PoolParameters result{};
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result.pType = pType;
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result.Sx = strides.at(0);
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result.Sy = strides.at(1);
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result.Kx = kernelShape.at(0);
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result.Ky = kernelShape.at(1);
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result.Px = pads.at(0);
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result.Py = pads.at(1);
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return result;
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}
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} // namespace
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IPluginV3* MaxPoolCreator::createPlugin(char const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept
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{
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// The build phase and the deserialization phase are handled differently.
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switch (phase)
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{
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case TensorRTPhase::kBUILD:
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return std::make_unique<MaxPoolPlugin>(parsePoolParameters(fc->fields, fc->nbFields)).release();
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case TensorRTPhase::kRUNTIME:
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return std::make_unique<MaxPoolPlugin>(*static_cast<PoolParameters const*>(fc->fields[0].data)).release();
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}
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return nullptr;
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}
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} // namespace nvinfer1::plugin
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