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nvidia--tensorrt/plugin/cropAndResizePlugin/cropAndResizePlugin.h
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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.
*/
#ifndef TRT_CROP_AND_RESIZE_PLUGIN_H
#define TRT_CROP_AND_RESIZE_PLUGIN_H
#include "NvInferRuntime.h"
#include "common/kernels/kernel.h"
#include "common/plugin.h"
#include <string>
#include <vector>
namespace nvinfer1
{
namespace plugin
{
//!
//! \brief CropAndResizeDynamicPlugin implements a TensorRT plugin that performs
//! crop and resize operations on input tensors based on provided boxes.
//!
class CropAndResizeDynamicPlugin : public IPluginV3,
public IPluginV3OneCore,
public IPluginV3OneBuild,
public IPluginV3OneRuntime
{
public:
//!
//! \brief Constructs a CropAndResizeDynamicPlugin with specified crop dimensions.
//!
//! \param cropWidth Width of the output crop
//! \param cropHeight Height of the output crop
//!
CropAndResizeDynamicPlugin(int32_t cropWidth, int32_t cropHeight);
//!
//! \brief Constructs a CropAndResizeDynamicPlugin with full parameters.
//!
//! \param cropWidth Width of the output crop
//! \param cropHeight Height of the output crop
//! \param depth Depth (channels) of the input tensor
//! \param inputWidth Width of the input tensor
//! \param inputHeight Height of the input tensor
//! \param maxBoxNum Maximum number of boxes
//!
CropAndResizeDynamicPlugin(int32_t cropWidth, int32_t cropHeight, int32_t depth, int32_t inputWidth,
int32_t inputHeight, int32_t maxBoxNum);
// It doesn't make sense to make CropAndResizeDynamicPlugin without arguments, so we delete default constructor.
CropAndResizeDynamicPlugin() noexcept = delete;
~CropAndResizeDynamicPlugin() noexcept override;
// IPluginV3 methods
IPluginCapability* getCapabilityInterface(PluginCapabilityType type) noexcept override;
IPluginV3* clone() noexcept override;
char const* getPluginName() const noexcept override;
char const* getPluginVersion() const noexcept override;
char const* getPluginNamespace() const noexcept override;
void setPluginNamespace(char const* libNamespace) noexcept;
// IPluginV3OneCore methods
int32_t getNbOutputs() const noexcept override;
int32_t getOutputDataTypes(
DataType* outputTypes, int32_t nbOutputs, DataType const* inputTypes, int32_t nbInputs) const noexcept override;
// IPluginV3OneBuild methods
int32_t getOutputShapes(DimsExprs const* inputs, int32_t nbInputs, DimsExprs const* shapeInputs,
int32_t nbShapeInputs, DimsExprs* outputs, int32_t nbOutputs, IExprBuilder& exprBuilder) noexcept override;
bool supportsFormatCombination(
int32_t pos, DynamicPluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept override;
int32_t configurePlugin(DynamicPluginTensorDesc const* in, int32_t nbInputs, DynamicPluginTensorDesc const* out,
int32_t nbOutputs) noexcept override;
int32_t onShapeChange(PluginTensorDesc const* inputs, int32_t nbInputs, PluginTensorDesc const* outputs,
int32_t nbOutputs) noexcept override;
size_t getWorkspaceSize(DynamicPluginTensorDesc const* inputs, int32_t nbInputs,
DynamicPluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept override;
// IPluginV3OneRuntime methods
int32_t enqueue(PluginTensorDesc const* inputDesc, PluginTensorDesc const* outputDesc, void const* const* inputs,
void* const* outputs, void* workspace, cudaStream_t stream) noexcept override;
IPluginV3* attachToContext(IPluginResourceContext* context) noexcept override;
PluginFieldCollection const* getFieldsToSerialize() noexcept override;
private:
int32_t mCropWidth;
int32_t mCropHeight;
int32_t mDepth;
int32_t mInputWidth;
int32_t mInputHeight;
int32_t mNumBoxes;
std::string mNamespace;
PluginFieldCollection mFCToSerialize;
std::vector<PluginField> mDataToSerialize;
};
//!
//! \brief Creator class for CropAndResizeDynamicPlugin
//!
class CropAndResizeDynamicPluginCreator : public IPluginCreatorV3One
{
public:
CropAndResizeDynamicPluginCreator();
~CropAndResizeDynamicPluginCreator() override = default;
// IPluginCreatorV3One methods
char const* getPluginName() const noexcept override;
char const* getPluginVersion() const noexcept override;
PluginFieldCollection const* getFieldNames() noexcept override;
void setPluginNamespace(char const* pluginNamespace) noexcept;
char const* getPluginNamespace() const noexcept override;
IPluginV3* createPlugin(char const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept override;
private:
PluginFieldCollection mFC;
std::vector<PluginField> mPluginAttributes;
std::string mNamespace;
};
} // namespace plugin
} // namespace nvinfer1
#endif // TRT_CROP_AND_RESIZE_PLUGIN_H