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 "resizeNearestPlugin.h"
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#include "common/plugin.h"
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#include <algorithm>
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#include <cuda_runtime_api.h>
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#include <iostream>
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#include <memory>
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#include <string_view>
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#define DEBUG 0
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using namespace nvinfer1;
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using namespace plugin;
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using nvinfer1::plugin::ResizeNearest;
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using nvinfer1::plugin::ResizeNearestPluginCreator;
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namespace
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{
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char const* const kRESIZE_PLUGIN_VERSION{"1"};
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char const* const kRESIZE_PLUGIN_NAME{"ResizeNearest_TRT"};
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} // namespace
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ResizeNearestPluginCreator::ResizeNearestPluginCreator()
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{
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mPluginAttributes.clear();
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mPluginAttributes.emplace_back(PluginField("scale", nullptr, PluginFieldType::kFLOAT32, 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* ResizeNearestPluginCreator::getPluginName() const noexcept
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{
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return kRESIZE_PLUGIN_NAME;
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}
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char const* ResizeNearestPluginCreator::getPluginVersion() const noexcept
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{
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return kRESIZE_PLUGIN_VERSION;
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}
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PluginFieldCollection const* ResizeNearestPluginCreator::getFieldNames() noexcept
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{
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return &mFC;
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}
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IPluginV2Ext* ResizeNearestPluginCreator::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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using namespace std::string_view_literals;
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plugin::validateRequiredAttributesExist({"scale"}, fc);
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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 == "scale"sv)
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{
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PLUGIN_VALIDATE(fields[i].type == PluginFieldType::kFLOAT32);
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mScale = *(static_cast<float const*>(fields[i].data));
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}
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}
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return new ResizeNearest(mScale);
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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* ResizeNearestPluginCreator::deserializePlugin(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 ResizeNearest(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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ResizeNearest::ResizeNearest(float scale)
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: mScale(scale)
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{
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PLUGIN_VALIDATE(mScale > 0);
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}
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int32_t ResizeNearest::getNbOutputs() const noexcept
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{
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return 1;
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}
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Dims ResizeNearest::getOutputDimensions(int32_t index, Dims const* inputDims, int32_t nbInputs) noexcept
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{
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PLUGIN_ASSERT(nbInputs == 1);
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nvinfer1::Dims const& input = inputDims[0];
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PLUGIN_ASSERT(index == 0);
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nvinfer1::Dims output{};
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output.nbDims = input.nbDims;
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for (int32_t d = 0; d < input.nbDims; ++d)
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{
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if (d == input.nbDims - 2 || d == input.nbDims - 1)
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{
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output.d[d] = int32_t(input.d[d] * mScale);
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}
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else
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{
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output.d[d] = input.d[d];
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}
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}
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return output;
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}
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int32_t ResizeNearest::initialize() noexcept
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{
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return 0;
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}
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void ResizeNearest::terminate() noexcept {}
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void ResizeNearest::destroy() noexcept
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{
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delete this;
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}
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size_t ResizeNearest::getWorkspaceSize(int32_t) const noexcept
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{
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return 0;
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}
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size_t ResizeNearest::getSerializationSize() const noexcept
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{
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// scale, dimensions: 3 * 2
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return sizeof(float) + sizeof(int32_t) * 3 * 2;
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}
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void ResizeNearest::serialize(void* buffer) const noexcept
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{
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char *d = reinterpret_cast<char*>(buffer), *a = d;
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write(d, mScale);
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write(d, mInputDims.d[0]);
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write(d, mInputDims.d[1]);
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write(d, mInputDims.d[2]);
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write(d, mOutputDims.d[0]);
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write(d, mOutputDims.d[1]);
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write(d, mOutputDims.d[2]);
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PLUGIN_ASSERT(d == a + getSerializationSize());
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}
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ResizeNearest::ResizeNearest(void const* data, size_t length)
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{
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deserialize(static_cast<int8_t const*>(data), length);
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}
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void ResizeNearest::deserialize(int8_t const* data, size_t length)
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{
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auto const* d{data};
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mScale = read<float>(d);
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mInputDims = Dims3();
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mInputDims.d[0] = read<int32_t>(d);
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mInputDims.d[1] = read<int32_t>(d);
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mInputDims.d[2] = read<int32_t>(d);
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mOutputDims = Dims3();
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mOutputDims.d[0] = read<int32_t>(d);
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mOutputDims.d[1] = read<int32_t>(d);
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mOutputDims.d[2] = read<int32_t>(d);
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PLUGIN_VALIDATE(d == data + length);
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}
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char const* ResizeNearest::getPluginType() const noexcept
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{
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return "ResizeNearest_TRT";
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}
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char const* ResizeNearest::getPluginVersion() const noexcept
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{
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return "1";
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}
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IPluginV2Ext* ResizeNearest::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<ResizeNearest>(*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 ResizeNearest::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* ResizeNearest::getPluginNamespace() const noexcept
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{
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return mNameSpace.c_str();
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}
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bool ResizeNearest::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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int32_t ResizeNearest::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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int32_t nchan = mOutputDims.d[0];
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float scale = mScale;
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int2 osize = {dimToInt32(mOutputDims.d[2]), dimToInt32(mOutputDims.d[1])};
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int32_t istride = mInputDims.d[2];
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int32_t ostride = mOutputDims.d[2];
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int32_t ibatchstride = mInputDims.d[1] * istride;
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int32_t obatchstride = mOutputDims.d[1] * ostride;
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dim3 block(32, 16);
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dim3 grid((osize.x - 1) / block.x + 1, (osize.y - 1) / block.y + 1, std::min(batch_size * nchan, 65535));
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resizeNearest(grid, block, stream, batch_size * nchan, scale, osize, static_cast<float const*>(inputs[0]), istride,
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ibatchstride, static_cast<float*>(outputs[0]), ostride, obatchstride);
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return cudaGetLastError() != cudaSuccess;
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}
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// Return the DataType of the plugin output at the requested index
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DataType ResizeNearest::getOutputDataType(
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int32_t index, nvinfer1::DataType const* inputTypes, int32_t nbInputs) const noexcept
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{
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// Only 1 input and 1 output from the plugin layer
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PLUGIN_ASSERT(index == 0);
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// Only DataType::kFLOAT is acceptable by the plugin layer
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return DataType::kFLOAT;
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}
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// Configure the layer with input and output data types.
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void ResizeNearest::configurePlugin(Dims const* inputDims, int32_t nbInputs, Dims const* outputDims, int32_t nbOutputs,
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DataType const* inputTypes, DataType const* outputTypes, bool const* inputIsBroadcast,
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bool const* outputIsBroadcast, PluginFormat floatFormat, int32_t maxBatchSize) noexcept
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{
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PLUGIN_ASSERT(nbInputs == 1);
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mInputDims = inputDims[0];
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PLUGIN_ASSERT(nbOutputs == 1);
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mOutputDims = outputDims[0];
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}
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// Attach the plugin object to an execution context and grant the plugin the access to some context resource.
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void ResizeNearest::attachToContext(
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cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) noexcept
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{
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}
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// Detach the plugin object from its execution context.
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void ResizeNearest::detachFromContext() noexcept {}
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