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#pragma once
#include <limits>
#ifdef __CUDA_ARCH__
#define HOST_DEVICE __host__ __device__
#else
#define HOST_DEVICE
#endif
namespace at {
template <class scalar_t>
struct BinaryAdd {
HOST_DEVICE static scalar_t forward(scalar_t x, scalar_t y) {
return x + y;
}
HOST_DEVICE static scalar_t backward_lhs(scalar_t x, scalar_t y) {
return 1;
}
HOST_DEVICE static scalar_t backward_rhs(scalar_t x, scalar_t y) {
return 1;
}
};
template <class scalar_t>
struct BinaryMul {
HOST_DEVICE static scalar_t forward(scalar_t x, scalar_t y) {
return x * y;
}
HOST_DEVICE static scalar_t backward_lhs(scalar_t x, scalar_t y) {
return y;
}
HOST_DEVICE static scalar_t backward_rhs(scalar_t x, scalar_t y) {
return x;
}
};
template <class scalar_t>
struct NaryAdd {
HOST_DEVICE static scalar_t forward(scalar_t result, scalar_t x) {
return result + x;
}
HOST_DEVICE static scalar_t backward(scalar_t result, scalar_t x) {
return 1;
}
static constexpr scalar_t zero = 0;
};
template <class scalar_t>
struct NaryMin {
HOST_DEVICE static scalar_t forward(scalar_t result, scalar_t x) {
return result < x ? result : x;
}
HOST_DEVICE static scalar_t backward(scalar_t result, scalar_t x) {
return result == x ? 1 : 0;
}
static constexpr scalar_t zero = std::numeric_limits<scalar_t>::max();
};
template <class scalar_t>
struct NaryMax {
HOST_DEVICE static scalar_t forward(scalar_t result, scalar_t x) {
return result > x ? result : x;
}
HOST_DEVICE static scalar_t backward(scalar_t result, scalar_t x) {
return result == x ? 1 : 0;
}
static constexpr scalar_t zero = std::numeric_limits<scalar_t>::lowest();
};
} // namespace at |