chore: import upstream snapshot with attribution
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/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2026 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 "pyramidROIAlignPlugin.h"
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#include "common/plugin.h"
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#include <cuda_runtime_api.h>
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#include <math.h>
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#include <memory>
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#include <string_view>
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using namespace nvinfer1;
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using namespace plugin;
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using nvinfer1::plugin::PyramidROIAlign;
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using nvinfer1::plugin::PyramidROIAlignPluginCreator;
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namespace
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{
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char const* const kPYRAMIDROIALGIN_PLUGIN_VERSION{"1"};
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char const* const kPYRAMIDROIALGIN_PLUGIN_NAME{"PyramidROIAlign_TRT"};
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} // namespace
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PyramidROIAlignPluginCreator::PyramidROIAlignPluginCreator()
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{
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mPluginAttributes.clear();
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mPluginAttributes.emplace_back(PluginField("fpn_scale", nullptr, PluginFieldType::kINT32, 1));
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mPluginAttributes.emplace_back(PluginField("pooled_size", nullptr, PluginFieldType::kINT32, 1));
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mPluginAttributes.emplace_back(PluginField("image_size", nullptr, PluginFieldType::kINT32, 2));
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mPluginAttributes.emplace_back(PluginField("roi_coords_absolute", nullptr, PluginFieldType::kINT32, 1));
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mPluginAttributes.emplace_back(PluginField("roi_coords_swap", nullptr, PluginFieldType::kINT32, 1));
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mPluginAttributes.emplace_back(PluginField("roi_coords_plusone", nullptr, PluginFieldType::kINT32, 1));
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mPluginAttributes.emplace_back(PluginField("roi_coords_transform", nullptr, PluginFieldType::kINT32, 1));
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mPluginAttributes.emplace_back(PluginField("sampling_ratio", nullptr, PluginFieldType::kINT32, 1));
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mPluginAttributes.emplace_back(PluginField("legacy", nullptr, PluginFieldType::kINT32, 1));
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mFC.nbFields = mPluginAttributes.size();
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mFC.fields = mPluginAttributes.data();
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}
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char const* PyramidROIAlignPluginCreator::getPluginName() const noexcept
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{
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return kPYRAMIDROIALGIN_PLUGIN_NAME;
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}
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char const* PyramidROIAlignPluginCreator::getPluginVersion() const noexcept
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{
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return kPYRAMIDROIALGIN_PLUGIN_VERSION;
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}
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PluginFieldCollection const* PyramidROIAlignPluginCreator::getFieldNames() noexcept
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{
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return &mFC;
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}
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IPluginV2Ext* PyramidROIAlignPluginCreator::createPlugin(char const* name, PluginFieldCollection const* fc) noexcept
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{
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try
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{
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// Default values for the plugin creator, these will be used when the corresponding
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// plugin field is not passed, allowing to have defaults for "optional" ONNX attributes.
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int32_t pooledSize = 7;
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int32_t transformCoords = 2;
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bool absCoords = true;
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bool swapCoords = false;
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bool plusOneCoords = false;
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bool legacy = false;
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int32_t samplingRatio = 0;
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xy_t imageSize = {dimToInt32(MaskRCNNConfig::IMAGE_SHAPE.d[1]), dimToInt32(MaskRCNNConfig::IMAGE_SHAPE.d[2])};
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int32_t fpnScale = 224;
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using namespace std::string_view_literals;
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PluginField const* fields = fc->fields;
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for (int32_t i = 0; i < fc->nbFields; ++i)
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{
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std::string_view const attrName = fields[i].name;
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if (attrName == "fpn_scale"sv)
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{
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PLUGIN_VALIDATE(fields[i].type == PluginFieldType::kINT32);
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fpnScale = *(static_cast<int32_t const*>(fields[i].data));
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PLUGIN_VALIDATE(fpnScale >= 1);
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}
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if (attrName == "pooled_size"sv)
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{
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PLUGIN_VALIDATE(fields[i].type == PluginFieldType::kINT32);
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pooledSize = *(static_cast<int32_t const*>(fields[i].data));
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PLUGIN_VALIDATE(pooledSize >= 1);
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}
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if (attrName == "image_size"sv)
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{
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PLUGIN_VALIDATE(fields[i].type == PluginFieldType::kINT32);
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PLUGIN_VALIDATE(fields[i].length == 2);
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auto const dims = static_cast<int32_t const*>(fields[i].data);
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imageSize.y = dims[0];
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imageSize.x = dims[1];
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PLUGIN_VALIDATE(imageSize.y >= 1);
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PLUGIN_VALIDATE(imageSize.x >= 1);
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}
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if (attrName == "roi_coords_absolute"sv)
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{
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PLUGIN_VALIDATE(fields[i].type == PluginFieldType::kINT32);
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absCoords = *(static_cast<int32_t const*>(fields[i].data));
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}
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if (attrName == "roi_coords_swap"sv)
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{
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PLUGIN_VALIDATE(fields[i].type == PluginFieldType::kINT32);
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swapCoords = *(static_cast<int32_t const*>(fields[i].data));
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}
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if (attrName == "roi_coords_plusone"sv)
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{
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PLUGIN_VALIDATE(fields[i].type == PluginFieldType::kINT32);
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plusOneCoords = *(static_cast<int32_t const*>(fields[i].data));
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}
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if (attrName == "roi_coords_transform"sv)
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{
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PLUGIN_VALIDATE(fields[i].type == PluginFieldType::kINT32);
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transformCoords = *(static_cast<int32_t const*>(fields[i].data));
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}
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if (attrName == "sampling_ratio"sv)
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{
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PLUGIN_VALIDATE(fields[i].type == PluginFieldType::kINT32);
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samplingRatio = *(static_cast<int32_t const*>(fields[i].data));
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PLUGIN_VALIDATE(samplingRatio >= 0);
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}
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if (attrName == "legacy"sv)
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{
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PLUGIN_ASSERT(fields[i].type == PluginFieldType::kINT32);
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legacy = *(static_cast<int32_t const*>(fields[i].data));
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}
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}
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return new PyramidROIAlign(pooledSize, transformCoords, absCoords, swapCoords, plusOneCoords, samplingRatio,
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legacy, imageSize, fpnScale);
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return nullptr;
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}
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IPluginV2Ext* PyramidROIAlignPluginCreator::deserializePlugin(
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char const* name, void const* data, size_t length) noexcept
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{
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try
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{
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return new PyramidROIAlign(data, length);
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return nullptr;
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}
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PyramidROIAlign::PyramidROIAlign(int32_t pooledSize, int32_t transformCoords, bool absCoords, bool swapCoords,
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bool plusOneCoords, int32_t samplingRatio, bool legacy, xy_t imageSize, int32_t fpnScale)
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: mPooledSize({pooledSize, pooledSize})
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, mImageSize(imageSize)
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, mFPNScale(fpnScale)
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, mTransformCoords(transformCoords)
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, mAbsCoords(absCoords)
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, mSwapCoords(swapCoords)
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, mPlusOneCoords(plusOneCoords)
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, mSamplingRatio(samplingRatio)
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, mIsLegacy(legacy)
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{
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PLUGIN_VALIDATE(pooledSize >= 1);
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PLUGIN_VALIDATE(samplingRatio >= 0);
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PLUGIN_VALIDATE(fpnScale >= 1);
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}
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int32_t PyramidROIAlign::getNbOutputs() const noexcept
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{
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return 1;
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}
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int32_t PyramidROIAlign::initialize() noexcept
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{
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return 0;
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}
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void PyramidROIAlign::terminate() noexcept {}
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void PyramidROIAlign::destroy() noexcept
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{
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delete this;
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}
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size_t PyramidROIAlign::getWorkspaceSize(int32_t) const noexcept
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{
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return 0;
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}
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bool PyramidROIAlign::supportsFormat(DataType type, PluginFormat format) const noexcept
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{
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return (type == DataType::kFLOAT && format == PluginFormat::kLINEAR);
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}
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char const* PyramidROIAlign::getPluginType() const noexcept
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{
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return kPYRAMIDROIALGIN_PLUGIN_NAME;
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}
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char const* PyramidROIAlign::getPluginVersion() const noexcept
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{
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return kPYRAMIDROIALGIN_PLUGIN_VERSION;
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}
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IPluginV2Ext* PyramidROIAlign::clone() const noexcept
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{
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try
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{
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auto plugin = std::make_unique<PyramidROIAlign>(*this);
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plugin->setPluginNamespace(mNameSpace.c_str());
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return plugin.release();
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return nullptr;
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}
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void PyramidROIAlign::setPluginNamespace(char const* libNamespace) noexcept
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{
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mNameSpace = libNamespace;
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}
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char const* PyramidROIAlign::getPluginNamespace() const noexcept
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{
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return mNameSpace.c_str();
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}
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void PyramidROIAlign::check_valid_inputs(nvinfer1::Dims const* inputs, int32_t nbInputDims)
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{
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// to be compatible with tensorflow node's input:
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// roi: [N, anchors, 4],
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// feature_map list(4 maps): p2, p3, p4, p5
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PLUGIN_ASSERT(nbInputDims == 1 + mFeatureMapCount);
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nvinfer1::Dims rois = inputs[0];
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PLUGIN_ASSERT(rois.nbDims == 2);
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PLUGIN_ASSERT(rois.d[1] == 4);
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for (int32_t i = 1; i < nbInputDims; ++i)
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{
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nvinfer1::Dims dims = inputs[i];
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// CHW with the same #C
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PLUGIN_ASSERT(dims.nbDims == 3 && dims.d[0] == inputs[i].d[0]);
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}
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}
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Dims PyramidROIAlign::getOutputDimensions(int32_t index, Dims const* inputs, int32_t nbInputDims) noexcept
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{
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check_valid_inputs(inputs, nbInputDims);
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PLUGIN_ASSERT(index == 0);
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nvinfer1::Dims result{};
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result.nbDims = 4;
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// mROICount
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result.d[0] = inputs[0].d[0];
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// mFeatureLength
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result.d[1] = inputs[1].d[0];
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// height
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result.d[2] = mPooledSize.y;
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// width
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result.d[3] = mPooledSize.x;
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return result;
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}
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int32_t PyramidROIAlign::enqueue(
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int32_t batch_size, void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept
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{
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void* const pooled = outputs[0];
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cudaError_t status;
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// Support legacy UFF mode
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if (mIsLegacy)
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{
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// Legacy values
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mTransformCoords = -1;
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mPlusOneCoords = 0;
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mSwapCoords = true;
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mAbsCoords = false;
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mSamplingRatio = 1;
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float const firstThreshold
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= (224 * 224 * 2.F / (MaskRCNNConfig::IMAGE_SHAPE.d[1] * MaskRCNNConfig::IMAGE_SHAPE.d[2])) / (4.F * 4.F);
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status = roiAlign(stream, batch_size, mImageSize, mFeatureLength, mROICount, firstThreshold, mTransformCoords,
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mAbsCoords, mSwapCoords, mPlusOneCoords, mSamplingRatio, inputs[0], &inputs[1], mFeatureSpatialSize, pooled,
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mPooledSize);
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}
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else
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{
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// As per FPN paper equation 1 (https://arxiv.org/pdf/1612.03144.pdf)
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// the default 224 FPN scale corresponds to the canonical ImageNet size
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// used to define the ROI scale threshold that samples from P4. Because the
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// plugin works with normalized ROI coordinates, the FPN scale must be normalized
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// by the input image size.
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float const scale = static_cast<float>(mFPNScale);
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float const normScale = sqrtf(scale * scale / (mImageSize.y * mImageSize.x));
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// Furthermore, the roiAlign kernel expects a first threshold instead. This is
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// the *area* of an ROI but for one level down, i.e. at the P2->P3 transition.
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float const firstThreshold = normScale * normScale / 4.F;
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status = roiAlign(stream, batch_size, mImageSize, mFeatureLength, mROICount, firstThreshold, mTransformCoords,
|
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mAbsCoords, mSwapCoords, mPlusOneCoords, mSamplingRatio, inputs[0], &inputs[1], mFeatureSpatialSize, pooled,
|
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mPooledSize);
|
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}
|
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return status;
|
||||
}
|
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|
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size_t PyramidROIAlign::getSerializationSize() const noexcept
|
||||
{
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return sizeof(int32_t) * 2 // mPooledSize
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+ sizeof(int32_t) * 2 // mImageSize
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||||
+ sizeof(int32_t) // mFeatureLength
|
||||
+ sizeof(int32_t) // mROICount
|
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+ sizeof(int32_t) // mFPNScale
|
||||
+ sizeof(int32_t) // mTransformCoords
|
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+ sizeof(bool) // mAbsCoords
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||||
+ sizeof(bool) // mSwapCoords
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+ sizeof(bool) // mPlusOneCoords
|
||||
+ sizeof(int32_t) // mSamplingRatio
|
||||
+ sizeof(bool) // mIsLegacy
|
||||
+ sizeof(int32_t) * 8; // mFeatureSpatialSize
|
||||
}
|
||||
|
||||
void PyramidROIAlign::serialize(void* buffer) const noexcept
|
||||
{
|
||||
char *d = reinterpret_cast<char*>(buffer), *a = d;
|
||||
write(d, mPooledSize.y);
|
||||
write(d, mPooledSize.x);
|
||||
write(d, mImageSize.y);
|
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write(d, mImageSize.x);
|
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write(d, mFeatureLength);
|
||||
write(d, mROICount);
|
||||
write(d, mFPNScale);
|
||||
write(d, mTransformCoords);
|
||||
write(d, mAbsCoords);
|
||||
write(d, mSwapCoords);
|
||||
write(d, mPlusOneCoords);
|
||||
write(d, mSamplingRatio);
|
||||
write(d, mIsLegacy);
|
||||
write(d, mFeatureSpatialSize[0].y);
|
||||
write(d, mFeatureSpatialSize[0].x);
|
||||
write(d, mFeatureSpatialSize[1].y);
|
||||
write(d, mFeatureSpatialSize[1].x);
|
||||
write(d, mFeatureSpatialSize[2].y);
|
||||
write(d, mFeatureSpatialSize[2].x);
|
||||
write(d, mFeatureSpatialSize[3].y);
|
||||
write(d, mFeatureSpatialSize[3].x);
|
||||
PLUGIN_ASSERT(d == a + getSerializationSize());
|
||||
}
|
||||
|
||||
PyramidROIAlign::PyramidROIAlign(void const* data, size_t length)
|
||||
{
|
||||
deserialize(static_cast<int8_t const*>(data), length);
|
||||
}
|
||||
void PyramidROIAlign::deserialize(int8_t const* data, size_t length)
|
||||
{
|
||||
auto const* d{data};
|
||||
mPooledSize = {read<int32_t>(d), read<int32_t>(d)};
|
||||
mImageSize = {read<int32_t>(d), read<int32_t>(d)};
|
||||
mFeatureLength = read<int32_t>(d);
|
||||
mROICount = read<int32_t>(d);
|
||||
mFPNScale = read<int32_t>(d);
|
||||
mTransformCoords = read<int32_t>(d);
|
||||
mAbsCoords = read<bool>(d);
|
||||
mSwapCoords = read<bool>(d);
|
||||
mPlusOneCoords = read<bool>(d);
|
||||
mSamplingRatio = read<int32_t>(d);
|
||||
mIsLegacy = read<bool>(d);
|
||||
mFeatureSpatialSize[0].y = read<int32_t>(d);
|
||||
mFeatureSpatialSize[0].x = read<int32_t>(d);
|
||||
mFeatureSpatialSize[1].y = read<int32_t>(d);
|
||||
mFeatureSpatialSize[1].x = read<int32_t>(d);
|
||||
mFeatureSpatialSize[2].y = read<int32_t>(d);
|
||||
mFeatureSpatialSize[2].x = read<int32_t>(d);
|
||||
mFeatureSpatialSize[3].y = read<int32_t>(d);
|
||||
mFeatureSpatialSize[3].x = read<int32_t>(d);
|
||||
|
||||
PLUGIN_VALIDATE(d == data + length);
|
||||
}
|
||||
|
||||
// Return the DataType of the plugin output at the requested index
|
||||
DataType PyramidROIAlign::getOutputDataType(
|
||||
int32_t index, nvinfer1::DataType const* inputTypes, int32_t nbInputs) const noexcept
|
||||
{
|
||||
// Only DataType::kFLOAT is acceptable by the plugin layer
|
||||
return DataType::kFLOAT;
|
||||
}
|
||||
|
||||
// Configure the layer with input and output data types.
|
||||
void PyramidROIAlign::configurePlugin(Dims const* inputDims, int32_t nbInputs, Dims const* outputDims,
|
||||
int32_t nbOutputs, DataType const* inputTypes, DataType const* outputTypes, bool const* inputIsBroadcast,
|
||||
bool const* outputIsBroadcast, PluginFormat floatFormat, int32_t maxBatchSize) noexcept
|
||||
{
|
||||
PLUGIN_ASSERT(supportsFormat(inputTypes[0], floatFormat));
|
||||
check_valid_inputs(inputDims, nbInputs);
|
||||
|
||||
PLUGIN_ASSERT(nbOutputs == 1);
|
||||
PLUGIN_ASSERT(nbInputs == 1 + mFeatureMapCount);
|
||||
|
||||
mROICount = inputDims[0].d[0];
|
||||
mFeatureLength = inputDims[1].d[0];
|
||||
|
||||
for (size_t layer = 0; layer < mFeatureMapCount; ++layer)
|
||||
{
|
||||
mFeatureSpatialSize[layer] = {dimToInt32(inputDims[layer + 1].d[1]), dimToInt32(inputDims[layer + 1].d[2])};
|
||||
}
|
||||
}
|
||||
|
||||
// Attach the plugin object to an execution context and grant the plugin the access to some context resource.
|
||||
void PyramidROIAlign::attachToContext(
|
||||
cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) noexcept
|
||||
{
|
||||
}
|
||||
|
||||
// Detach the plugin object from its execution context.
|
||||
void PyramidROIAlign::detachFromContext() noexcept {}
|
||||
Reference in New Issue
Block a user