#include "image.h"

#include <ATen/core/op_registration/op_registration.h>
#ifdef USE_PYTHON
#include <Python.h>
#endif

// If we are in a Windows environment, we need to define
// initialization functions for the _custom_ops extension
#ifdef USE_PYTHON
#ifdef _WIN32
PyMODINIT_FUNC PyInit_image(void) {
  // No need to do anything.
  return nullptr;
}
#endif
#endif // USE_PYTHON

namespace vision {
namespace image {

static auto registry =
    torch::RegisterOperators()
        .op("image::decode_png(Tensor data, int mode, bool allow_16_bits = False, bool apply_exif_orientation=False) -> Tensor",
            &decode_png)
        .op("image::encode_png", &encode_png)
        .op("image::decode_jpeg(Tensor data, int mode, bool apply_exif_orientation=False) -> Tensor",
            &decode_jpeg)
        .op("image::encode_jpeg", &encode_jpeg)
        .op("image::read_file", &read_file)
        .op("image::write_file", &write_file)
        .op("image::decode_image(Tensor data, int mode, bool apply_exif_orientation=False) -> Tensor",
            &decode_image)
        .op("image::decode_jpeg_cuda", &decode_jpeg_cuda)
        .op("image::_jpeg_version", &_jpeg_version)
        .op("image::_is_compiled_against_turbo", &_is_compiled_against_turbo);

} // namespace image
} // namespace vision
