Uni20
Asynchronous tensor and runtime library.
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matrix_exponential.hpp File Reference

Async Tensor wrapper for fixed-output matrix exponentiation. More...

#include <uni20/async/async.hpp>
#include <uni20/async/awaiters.hpp>
#include <uni20/async/debug_scheduler.hpp>
#include <uni20/common/trace.hpp>
#include <uni20/linalg/async/detail/output.hpp>
#include <uni20/linalg/async/dispatch.hpp>
#include <uni20/linalg/ops/matrix_exponential.hpp>
#include <memory>
#include <tuple>
#include <type_traits>
#include <utility>
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Namespaces

namespace  uni20
 
namespace  uni20::linalg
 

Functions

template<uni20::AsyncTensorOutput OutputTensor, uni20::RankedTensorView< 2 > InputTensor, class TimeScalar >
requires uni20::MutableRankedTensorView<OutputTensor, 2> && requires(TimeScalar&& time) { async::read(std::forward<TimeScalar>(time)); }
void uni20::linalg::matrix_exponential (async::Async< OutputTensor > &output, async::Async< InputTensor > const &input, TimeScalar &&time)
 Schedule fixed-output matrix exponentiation using static Tensor policy.
 
template<KernelBackendSelector BackendSelector, uni20::AsyncTensorOutput OutputTensor, uni20::RankedTensorView< 2 > InputTensor, class TimeScalar >
requires uni20::MutableRankedTensorView<OutputTensor, 2> && requires(TimeScalar&& time) { async::read(std::forward<TimeScalar>(time)); }
void uni20::linalg::matrix_exponential (BackendSelector selector, async::Async< OutputTensor > &output, async::Async< InputTensor > const &input, TimeScalar &&time)
 Schedule fixed-output matrix exponentiation through an explicit selector.
 

Detailed Description

Async Tensor wrapper for fixed-output matrix exponentiation.