#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION) #pragma once #include #include #include namespace at { class TensorBase; } namespace at::native { using forward_2d_fn = void (*) ( const TensorBase &output, const TensorBase &input, const TensorBase &grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners); using backward_2d_fn = void (*) ( const TensorBase &grad_input, const TensorBase &grad_grid, const TensorBase &grad_output, const TensorBase &input, const TensorBase &grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, std::array output_mask); DECLARE_DISPATCH(forward_2d_fn, grid_sampler_2d_cpu_kernel) DECLARE_DISPATCH(backward_2d_fn, grid_sampler_2d_backward_cpu_kernel) } // namespace at::native #else #error "This file should not be included when either TORCH_STABLE_ONLY or TORCH_TARGET_VERSION is defined." #endif // !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)