Program Listing for File OpRandomResizedCrop.hpp

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/*
 * SPDX-FileCopyrightText: Copyright (c) 2022-2023 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 CVCUDA_RANDOMRESIZEDCROP_HPP
#define CVCUDA_RANDOMRESIZEDCROP_HPP

#include "IOperator.hpp"
#include "OpRandomResizedCrop.h"

#include <cuda_runtime.h>
#include <nvcv/ImageBatch.hpp>
#include <nvcv/ImageFormat.hpp>
#include <nvcv/Tensor.hpp>
#include <nvcv/alloc/Requirements.hpp>

namespace cvcuda {

class RandomResizedCrop final : public IOperator
{
public:
    explicit RandomResizedCrop(double minScale, double maxScale, double minRatio, double maxRatio, int32_t maxBatchSize,
                               uint32_t seed);

    ~RandomResizedCrop();

    void operator()(cudaStream_t stream, const nvcv::Tensor &in, const nvcv::Tensor &out,
                    const NVCVInterpolationType interpolation);
    void operator()(cudaStream_t stream, const nvcv::ImageBatchVarShape &in, const nvcv::ImageBatchVarShape &out,
                    const NVCVInterpolationType interpolation);

    virtual NVCVOperatorHandle handle() const noexcept override;

private:
    NVCVOperatorHandle m_handle;
};

inline RandomResizedCrop::RandomResizedCrop(double minScale, double maxScale, double minRatio, double maxRatio,
                                            int32_t maxBatchSize, uint32_t seed)
{
    nvcv::detail::CheckThrow(
        cvcudaRandomResizedCropCreate(&m_handle, minScale, maxScale, minRatio, maxRatio, maxBatchSize, seed));
    assert(m_handle);
}

inline RandomResizedCrop::~RandomResizedCrop()
{
    nvcvOperatorDestroy(m_handle);
    m_handle = nullptr;
}

inline void RandomResizedCrop::operator()(cudaStream_t stream, const nvcv::Tensor &in, const nvcv::Tensor &out,
                                          const NVCVInterpolationType interpolation)
{
    nvcv::detail::CheckThrow(cvcudaRandomResizedCropSubmit(m_handle, stream, in.handle(), out.handle(), interpolation));
}

inline void RandomResizedCrop::operator()(cudaStream_t stream, const nvcv::ImageBatchVarShape &in,
                                          const nvcv::ImageBatchVarShape &out,
                                          const NVCVInterpolationType     interpolation)
{
    nvcv::detail::CheckThrow(
        cvcudaRandomResizedCropVarShapeSubmit(m_handle, stream, in.handle(), out.handle(), interpolation));
}

inline NVCVOperatorHandle RandomResizedCrop::handle() const noexcept
{
    return m_handle;
}

} // namespace cvcuda

#endif // CVCUDA_RANDOMRESIZEDCROP_HPP