mmdeploy/csrc/preprocess/cuda/crop_impl.cpp

// Copyright (c) OpenMMLab. All rights reserved.

#include <cuda_runtime.h>

#include "preprocess/transform/crop.h"
#include "preprocess/transform/transform_utils.h"

using namespace std;

namespace mmdeploy {
namespace cuda {

template <typename T, int channels>
void Crop(const T* src, int src_w, T* dst, int dst_h, int dst_w, int offset_h, int offset_w,
          cudaStream_t stream);

class CenterCropImpl : public ::mmdeploy::CenterCropImpl {
 public:
  explicit CenterCropImpl(const Value& args) : ::mmdeploy::CenterCropImpl(args) {}

 protected:
  Result<Tensor> CropImage(const Tensor& tensor, int top, int left, int bottom,
                           int right) override {
    OUTCOME_TRY(auto device_tensor, MakeAvailableOnDevice(tensor, device_, stream_));

    auto stream = GetNative<cudaStream_t>(stream_);
    auto desc = device_tensor.desc();

    int h = bottom - top + 1;
    int w = right - left + 1;
    int c = desc.shape[3];
    auto type = desc.data_type;

    TensorShape shape{1, bottom - top + 1, right - left + 1, tensor.desc().shape[3]};
    TensorDesc dst_desc{device_, tensor.desc().data_type, shape, desc.name};
    Tensor dst_tensor{dst_desc};
    assert(device_.is_device());
    if (DataType::kINT8 == type) {
      uint8_t* input = device_tensor.data<uint8_t>();
      uint8_t* output = dst_tensor.data<uint8_t>();
      if (3 == c) {
        Crop<uint8_t, 3>(input, desc.shape[2], output, h, w, top, left, stream);
      } else if (1 == c) {
        Crop<uint8_t, 1>(input, desc.shape[2], output, h, w, top, left, stream);
      } else {
        ERROR("unsupported channels {}", c);
        return Status(eNotSupported);
      }
    } else if (DataType::kFLOAT == type) {
      float* input = static_cast<float*>(device_tensor.buffer().GetNative());
      float* output = static_cast<float*>(dst_tensor.buffer().GetNative());
      if (3 == c) {
        Crop<float, 3>(input, desc.shape[2], output, h, w, top, left, stream);
      } else if (1 == c) {
        Crop<float, 1>(input, desc.shape[2], output, h, w, top, left, stream);
      } else {
        ERROR("unsupported channels {}", c);
        return Status(eNotSupported);
      }
    } else {
      ERROR("unsupported channels {}", c);
      return Status(eNotSupported);
    }
    return dst_tensor;
  }
};

class CenterCropImplCreator : public Creator<::mmdeploy::CenterCropImpl> {
 public:
  const char* GetName() const override { return "cuda"; }
  int GetVersion() const override { return 1; }
  ReturnType Create(const Value& args) override { return make_unique<CenterCropImpl>(args); }

 private:
  int version_{1};
};

}  // namespace cuda
}  // namespace mmdeploy

using ::mmdeploy::CenterCropImpl;
using ::mmdeploy::cuda::CenterCropImplCreator;
REGISTER_MODULE(CenterCropImpl, CenterCropImplCreator);