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nvidia--tensorrt/samples/sampleSafePluginV3/maxPoolPluginRuntime.h
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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.
*/
#ifndef TRT_MAX_POOL_RUNTIME_PLUGIN_H
#define TRT_MAX_POOL_RUNTIME_PLUGIN_H
#include <memory>
#include <string>
#include <vector>
#include <cuda_runtime.h>
#include "NvInferSafePlugin.h"
#include "NvInferSafeRuntime.h"
// In IPluginV3 interface, the plugin name, version, and name space must be
// specified for the plugin and plugin creator exactly the same.
constexpr char const* const kMAX_POOL_PLUGIN_NAME{"MaxPoolPlugin"};
constexpr char const* const kMAX_POOL_PLUGIN_VERSION{"1"};
constexpr char const* const kMAX_POOL_PLUGIN_NAMESPACE{""};
using namespace nvinfer2::safe;
namespace nvinfer1
{
namespace plugin
{
using AsciiChar = char;
enum class PoolingType : int32_t
{
kMAX = 0, // Maximum over elements
kAVERAGE = 1, // Average over elements. If the tensor is padded, the count includes the padding
kMAX_AVERAGE_BLEND = 2 // Blending between max and average pooling: (1-blendFactor)*maxPool + blendFactor*avgPool
};
struct PoolParameters
{
// Input dimensions
int32_t C;
int32_t H;
int32_t W;
// Output dimensions
int32_t H_out;
int32_t W_out;
// Kernel size,
int32_t Kx;
int32_t Ky;
// Stride
int32_t Sx;
int32_t Sy;
// Padding
int32_t Px;
int32_t Py;
// Pooling Function
PoolingType pType;
// Extra Info
nvinfer1::DataType dtype;
size_t dtypeBytes;
int32_t nbInputs;
int64_t nbIOProfile;
std::shared_ptr<Dims> inputDims;
// Default Constructor
PoolParameters()
{
// To do: Populate Parameters from fc object w/ hard code
pType = PoolingType::kMAX;
// stride
Sx = 3;
Sy = 3;
// kernel size
Kx = 3;
Ky = 3;
// padding
Px = 0;
Py = 0;
}
// Parameterized Constructor
PoolParameters(nvinfer1::plugin::PoolingType pooling_type, int32_t stride_x, int32_t stride_y, int32_t kernel_x,
int32_t kernel_y, int32_t padding_x, int32_t padding_y)
{
pType = pooling_type;
// stride
Sx = stride_x;
Sy = stride_y;
// kernel size
Kx = kernel_x;
Ky = kernel_y;
// padding
Px = padding_x;
Py = padding_y;
}
};
class MaxPoolPluginRuntime : public IPluginV3, public IPluginV3OneSafeCore, public IPluginV3OneSafeRuntime
{
public:
MaxPoolPluginRuntime(PoolParameters const& params);
~MaxPoolPluginRuntime() override = default;
// IPluginV3 Methods
IPluginCapability* getCapabilityInterface(PluginCapabilityType type) noexcept override;
// IPluginV3OneSafeCore Methods
AsciiChar const* getPluginName() const noexcept override;
AsciiChar const* getPluginVersion() const noexcept override;
AsciiChar const* getPluginNamespace() const noexcept override;
// IPluginV3OneSafeRuntime Methods
int32_t enqueue(TensorDescriptor const* inputDesc, TensorDescriptor const* outputDesc, void const* const* inputs,
void* const* outputs, void* workspace, cudaStream_t stream) noexcept override;
int32_t initResource(ISafePluginResourceContext const* context) noexcept;
IPluginV3* clone() noexcept override;
PluginFieldCollection const* getFieldsToSerialize() noexcept override;
void setSafeRecorder(ISafeRecorder&) noexcept;
ISafeRecorder* getSafeRecorder() const noexcept;
protected:
void initFieldsToSerialize();
// TensorRT plugin parameters.
PoolParameters mParams;
std::vector<nvinfer1::PluginField> mDataToSerialize;
nvinfer1::PluginFieldCollection mFCToSerialize;
ISafeRecorder* mRecorder;
};
} // namespace plugin
} // namespace nvinfer1
#endif // TRT_MAX_POOL_RUNTIME_PLUGIN_H