#pragma once #include #include namespace at { class Tensor; namespace native { using adaptive_avg_pooling_fn = void(*)(Tensor& output, const Tensor& input, IntArrayRef output_size); using adaptive_avg_pooling_backward_fn = void(*)(Tensor& grad_input, const Tensor& grad_output); DECLARE_DISPATCH(adaptive_avg_pooling_fn, adaptive_avg_pool2d_kernel); DECLARE_DISPATCH(adaptive_avg_pooling_backward_fn, adaptive_avg_pool2d_backward_kernel); using adaptive_max_pooling_fn = void(*)(const Tensor& output, const Tensor& indices, const Tensor& input, IntArrayRef output_size); using adaptive_max_pooling_backward_fn = void(*)(const Tensor& grad_input, const Tensor& grad_output, const Tensor& indices); DECLARE_DISPATCH(adaptive_max_pooling_fn, adaptive_max_pool2d_kernel); DECLARE_DISPATCH(adaptive_max_pooling_backward_fn, adaptive_max_pool2d_backward_kernel); static inline int64_t start_index(int64_t a, int64_t b, int64_t c) { return (a / b) * c + ((a % b) * c) / b; } static inline int64_t end_index(int64_t a, int64_t b, int64_t c) { return 1 + ((a + 1) * c - 1) / b; } }} // namespace at::native