chore: import upstream snapshot with attribution

plugin/resizeNearestPlugin/CMakeLists.txt

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+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 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.
+#
+
+add_plugin_source(
+    resizeNearestPlugin.cpp
+    resizeNearestPlugin.h
+)
+

plugin/resizeNearestPlugin/README.md

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+# ResizeNearest Plugin [DEPRECATED]
+
+**This plugin is deprecated since TensorRT 10.12 and will be removed in a future release. `IResizeLayer` can be used as an alternative as appropriate to replace its functionality.**
+
+**Table Of Contents**
+- [Description](#description)
+    * [Structure](#structure)
+- [Parameters](#parameters)
+- [Additional resources](#additional-resources)
+- [License](#license)
+- [Changelog](#changelog)
+- [Known issues](#known-issues)
+
+## Description
+
+The `ResizeNearest` plugin performs nearest neighbor interpolation among feature map. It is used in sample MaskRCNN. 
+
+
+### Structure
+
+This plugin supports the NCHW format. It takes one input tensor `feature_map`
+
+`feature_map` can be arbitrary feature map from convolution layer of shape `[N, C, H, W]` 
+
+`Resizenearest` generates the resized feature map according to scale factor. For example, if input feature is of `[N, C, H, W]`and`scale=2.0`, then the output feature will be of `[N, C, 2.0 * H, 2.0 * W]`
+
+## Parameters
+
+This plugin has the plugin creator class `ResizeNearestPluginCreator` and the plugin class `ResizeNearest`.
+  
+The following parameters were used to create `ResizeNearest` instance:
+
+| Type               | Parameter                      | Description
+|--------------------|--------------------------------|--------------------------------------------------------
+|`float`             |`scale`                         | Scale factor for resize
+
+
+## Additional resources
+
+The following resources provide a deeper understanding of the `ResizeNearest` plugin:
+
+- [MaskRCNN](https://github.com/matterport/Mask_RCNN)
+
+
+## License
+
+For terms and conditions for use, reproduction, and distribution, see the [TensorRT Software License Agreement](https://docs.nvidia.com/deeplearning/sdk/tensorrt-sla/index.html) 
+documentation.
+
+
+## Changelog
+
+May 2025
+Add deprecation note.
+
+June 2019
+This is the first release of this `README.md` file.
+
+
+## Known issues
+
+There are no known issues in this plugin.

plugin/resizeNearestPlugin/ResizeNearest_PluginConfig.yaml

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+#
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024 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.
+#
+---
+name: ResizeNearest_TRT
+interface: "IPluginV2Ext"
+versions:
+  "1":
+    attributes:
+      - scale
+    attribute_types:
+      scale: float32
+    attribute_length:
+      scale: 1
+    attribute_options:
+      scale:
+        min: "0"
+        max: "=pinf"
+    attributes_required:
+      - scale
+...

plugin/resizeNearestPlugin/resizeNearestPlugin.cpp

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

plugin/resizeNearestPlugin/resizeNearestPlugin.h

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+/*
+ * 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.
+ */
+#ifndef TRT_RESIZENEAREST_PLUGIN_H
+#define TRT_RESIZENEAREST_PLUGIN_H
+
+#include <cuda_runtime_api.h>
+#include <string.h>
+#include <string>
+#include <vector>
+
+#include "NvInfer.h"
+#include "NvInferPlugin.h"
+#include "common/kernels/maskRCNNKernels.h"
+
+namespace nvinfer1
+{
+namespace plugin
+{
+class ResizeNearest : public IPluginV2Ext
+{
+public:
+    ResizeNearest(float scale);
+
+    ResizeNearest(void const* data, size_t length);
+
+    ~ResizeNearest() override = default;
+
+    int32_t getNbOutputs() const noexcept override;
+
+    Dims getOutputDimensions(int32_t index, Dims const* inputs, int32_t nbInputDims) noexcept override;
+
+    int32_t initialize() noexcept override;
+
+    void terminate() noexcept override;
+
+    void destroy() noexcept override;
+
+    size_t getWorkspaceSize(int32_t) const noexcept override;
+
+    int32_t enqueue(int32_t batch_size, void const* const* inputs, void* const* outputs, void* workspace,
+        cudaStream_t stream) noexcept override;
+
+    size_t getSerializationSize() const noexcept override;
+
+    void serialize(void* buffer) const noexcept override;
+
+    bool supportsFormat(DataType type, PluginFormat format) const noexcept override;
+
+    char const* getPluginType() const noexcept override;
+
+    char const* getPluginVersion() const noexcept override;
+
+    IPluginV2Ext* clone() const noexcept override;
+
+    void setPluginNamespace(char const* libNamespace) noexcept override;
+
+    char const* getPluginNamespace() const noexcept override;
+
+    DataType getOutputDataType(
+        int32_t index, nvinfer1::DataType const* inputTypes, int32_t nbInputs) const noexcept override;
+
+    void attachToContext(
+        cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) noexcept override;
+
+    void 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 override;
+
+    void detachFromContext() noexcept override;
+
+private:
+    void deserialize(int8_t const* data, size_t length);
+    float mScale{};
+    Dims mInputDims{};
+    Dims mOutputDims{};
+    std::string mNameSpace;
+};
+
+class ResizeNearestPluginCreator : public nvinfer1::pluginInternal::BaseCreator
+{
+public:
+    ResizeNearestPluginCreator();
+
+    ~ResizeNearestPluginCreator() override {}
+
+    char const* getPluginName() const noexcept override;
+
+    char const* getPluginVersion() const noexcept override;
+
+    PluginFieldCollection const* getFieldNames() noexcept override;
+
+    IPluginV2Ext* createPlugin(char const* name, PluginFieldCollection const* fc) noexcept override;
+
+    IPluginV2Ext* deserializePlugin(char const* name, void const* data, size_t length) noexcept override;
+
+private:
+    PluginFieldCollection mFC;
+    float mScale;
+    std::vector<PluginField> mPluginAttributes;
+};
+} // namespace plugin
+} // namespace nvinfer1
+#endif // TRT_RESIZENEAREST_PLUGIN_H