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- #pragma once
- #include <complex>
- #include <type_traits>
- #include <c10/core/ScalarType.h>
- #include <c10/util/C++17.h>
- #include <ATen/detail/FunctionTraits.h>
- #include <ATen/native/TensorIterator.h>
- // This file includes utilties for dynamic_casting done by TensorIterator, see CUDALoops.cuh and Loops.h.
- // dynamic_casting handles when the types expected by the iterator do not match the types of the arguments
- // to the function that is being called.
- // On CUDA, the cast is currently pushed down into the kernel (for performance reasons).
- // On CPU, there is currently an internal assert that a dynamic_cast is not needed.
- namespace at { namespace native {
- // `needs_dynamic_casting` compares the types expected by iterator
- // (i.e. dtypes of the operands) with the actual type of the arguments
- // (and returns) of func_t
- template<typename func_t, int nargs=function_traits<func_t>::arity>
- struct needs_dynamic_casting {
- static bool check(TensorIteratorBase& iter) {
- using traits = function_traits<func_t>;
- using cpp_type = typename traits::template arg<nargs - 1>::type;
- using cpp_map = c10::CppTypeToScalarType<cpp_type>;
- if (iter.input_dtype(nargs-1) != cpp_map::value) {
- return true;
- }
- return needs_dynamic_casting<func_t, nargs - 1>::check(iter);
- }
- };
- template<typename func_t>
- struct needs_dynamic_casting<func_t, 0> {
- static bool check(TensorIteratorBase& iter) {
- using traits = function_traits<func_t>;
- using cpp_type = typename traits::result_type;
- // we could assert output numbers are correct here, but checks
- // (including arity) are currently pushed outside of this struct.
- return c10::guts::if_constexpr<std::is_void<cpp_type>::value>([]() {
- return false;
- }, /* else */ [&](auto _) {
- // decltype(_) is used to delay computation
- using delayed_type = typename decltype(_)::template type_identity<cpp_type>;
- return iter.dtype(0) != c10::CppTypeToScalarType<delayed_type>::value;
- });
- }
- };
- }} //namespace at::native
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