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/*
* Copyright (c) 2022 NVIDIA Corporation
*
* Licensed under the Apache License Version 2.0 with LLVM Exceptions
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* https://llvm.org/LICENSE.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// clang-format Language: Cpp
#pragma once
#include "common.cuh"
#include "stdexec/execution.hpp" // IWYU pragma: export
namespace ex = stdexec;
#if STDEXEC_CUDA_COMPILATION()
# include <nvexec/multi_gpu_context.cuh> // IWYU pragma: export
# include <nvexec/stream_context.cuh> // IWYU pragma: export
#else
namespace nvexec
{
struct stream_receiver_base
{
using receiver_concept = ex::receiver_t;
};
struct stream_sender_base
{
using sender_concept = ex::sender_t;
};
namespace detail
{
struct stream_op_state_base
{};
} // namespace detail
inline auto is_on_gpu() -> bool
{
return false;
}
} // namespace nvexec
#endif
#include <exec/inline_scheduler.hpp>
#include <optional>
STDEXEC_PRAGMA_PUSH()
STDEXEC_PRAGMA_IGNORE_GNU("-Wmissing-braces")
namespace ex = stdexec;
namespace _repeat_n
{
template <class Sender, class Closure>
struct sender;
} // namespace _repeat_n
struct repeat_n_t
{
template <ex::sender Sender, ex::__sender_adaptor_closure Closure>
auto operator()(Sender __sndr, std::size_t n, Closure closure) const noexcept
-> _repeat_n::sender<Sender, Closure>
{
return _repeat_n::sender<Sender, Closure>{
{},
{closure, n},
std::move(__sndr)
};
}
template <ex::__sender_adaptor_closure Closure>
auto operator()(std::size_t n, Closure closure) const
{
return ex::__closure(*this, n, closure);
}
};
inline constexpr repeat_n_t repeat_n{};
namespace _repeat_n
{
template <class OpT>
class receiver_2_t
{
using Sender = OpT::child_t;
using Receiver = OpT::receiver_t;
OpT& op_state_;
public:
using receiver_concept = ex::receiver_t;
void set_value() noexcept
{
using inner_op_state_t = OpT::inner_op_state_t;
op_state_.i_++;
if (op_state_.i_ == op_state_.n_)
{
ex::set_value(std::move(op_state_.rcvr_));
return;
}
auto sch = ex::get_scheduler(ex::get_env(op_state_.rcvr_));
inner_op_state_t& inner_op_state = op_state_.inner_op_state_.emplace(ex::__emplace_from{
[&]() noexcept
{
return ex::connect(ex::schedule(sch) | op_state_.closure_, receiver_2_t<OpT>{op_state_});
}});
ex::start(inner_op_state);
}
template <class Error>
void set_error(Error&& err) noexcept
{
ex::set_error(std::move(op_state_.rcvr_), static_cast<Error&&>(err));
}
void set_stopped() noexcept
{
ex::set_stopped(std::move(op_state_.rcvr_));
}
[[nodiscard]]
auto get_env() const noexcept -> ex::env_of_t<Receiver>
{
return ex::get_env(op_state_.rcvr_);
}
explicit receiver_2_t(OpT& op_state)
: op_state_(op_state)
{}
};
template <class OpT>
class receiver_1_t
{
using Receiver = OpT::receiver_t;
OpT& op_state_;
public:
using receiver_concept = ex::receiver_t;
void set_value() noexcept
{
using inner_op_state_t = OpT::inner_op_state_t;
if (op_state_.n_)
{
inner_op_state_t& inner_op_state = op_state_.inner_op_state_.emplace(
ex::__emplace_from{[this]() noexcept
{
auto sch = ex::get_scheduler(ex::get_env(op_state_.rcvr_));
return ex::connect(ex::schedule(sch) | op_state_.closure_,
receiver_2_t<OpT>{op_state_});
}});
ex::start(inner_op_state);
}
else
{
ex::set_value(std::move(op_state_.rcvr_));
}
}
template <class Error>
void set_error(Error&& err) noexcept
{
ex::set_error(std::move(op_state_.rcvr_), static_cast<Error&&>(err));
}
void set_stopped() noexcept
{
ex::set_stopped(std::move(op_state_.rcvr_));
}
[[nodiscard]]
auto get_env() const noexcept -> ex::env_of_t<Receiver>
{
return ex::get_env(op_state_.rcvr_);
}
explicit receiver_1_t(OpT& op_state)
: op_state_(op_state)
{}
};
template <class PredSender, class Closure, class Receiver>
struct operation_state_t
{
using receiver_t = Receiver;
using child_t = PredSender;
using Scheduler = std::invoke_result_t<ex::get_scheduler_t, ex::env_of_t<Receiver>>;
using InnerSender = std::invoke_result_t<Closure, ex::schedule_result_t<Scheduler>>;
using predecessor_op_state_t =
ex::connect_result_t<PredSender, receiver_1_t<operation_state_t>>;
using inner_op_state_t = ex::connect_result_t<InnerSender, receiver_2_t<operation_state_t>>;
PredSender pred_sender_;
Closure closure_;
Receiver rcvr_;
std::optional<predecessor_op_state_t> pred_op_state_;
std::optional<inner_op_state_t> inner_op_state_;
std::size_t n_{};
std::size_t i_{};
void start() & noexcept
{
if (n_)
{
ex::start(*pred_op_state_);
}
else
{
ex::set_value(std::move(rcvr_));
}
}
operation_state_t(PredSender&& pred_sender, Closure closure, Receiver&& rcvr, std::size_t n)
: pred_sender_{static_cast<PredSender&&>(pred_sender)}
, closure_(closure)
, rcvr_(rcvr)
, n_(n)
{
pred_op_state_.emplace(ex::__emplace_from{
[&]() noexcept
{ return ex::connect(static_cast<PredSender&&>(pred_sender_), receiver_1_t{*this}); }});
}
};
template <class Sender, class Closure>
struct sender
{
using sender_concept = ex::sender_t;
template <class, class Env>
static consteval auto get_completion_signatures() noexcept
{
return ex::completion_signatures<
ex::set_value_t(),
ex::set_stopped_t(),
ex::set_error_t(std::exception_ptr)
// STDEXEC_WHEN(STDEXEC_CUDA_COMPILATION(), , ex::set_error_t(cudaError_t))
>();
}
template <ex::__decays_to<sender> Self, ex::receiver Receiver>
STDEXEC_EXPLICIT_THIS_BEGIN(auto connect)(this Self&& self, Receiver r)
-> _repeat_n::operation_state_t<Sender, Closure, Receiver>
{
return _repeat_n::operation_state_t<Sender, Closure, Receiver>(
static_cast<Self&&>(self).sender_,
static_cast<Self&&>(self).data_.first,
static_cast<Receiver&&>(r),
self.data_.second);
}
STDEXEC_EXPLICIT_THIS_END(connect)
[[nodiscard]]
auto get_env() const noexcept -> ex::env_of_t<Sender const &>
{
return ex::get_env(sender_);
}
STDEXEC_ATTRIBUTE(no_unique_address, maybe_unused)
repeat_n_t tag_;
std::pair<Closure, std::size_t> data_;
Sender sender_;
};
} // namespace _repeat_n
namespace STDEXEC
{
template <class Sender, class Closure>
inline constexpr std::size_t __structured_binding_size_v<_repeat_n::sender<Sender, Closure>> = 3;
} // namespace STDEXEC
#if STDEXEC_CUDA_COMPILATION()
// A CUDA stream implementation of repeat_n
namespace nv::execution::_strm
{
namespace _repeat_n
{
template <class OpT>
class receiver_2_t : public stream_receiver_base
{
using Sender = OpT::child_t;
using Receiver = OpT::receiver_t;
OpT& op_state_;
public:
void set_value() noexcept
{
using inner_op_state_t = OpT::inner_op_state_t;
op_state_.i_++;
if (op_state_.i_ == op_state_.n_)
{
op_state_.propagate_completion_signal(ex::set_value);
return;
}
inner_op_state_t& inner_op_state = op_state_.inner_op_state_.emplace(ex::__emplace_from{
[&]() noexcept
{
return ex::connect(op_state_.closure_(ex::schedule(op_state_.scheduler_)),
receiver_2_t<OpT>{op_state_});
}});
ex::start(inner_op_state);
}
template <class Error>
void set_error(Error&& err) noexcept
{
op_state_.propagate_completion_signal(set_error_t(), static_cast<Error&&>(err));
}
void set_stopped() noexcept
{
op_state_.propagate_completion_signal(set_stopped_t());
}
auto get_env() const noexcept -> OpT::env_t
{
return op_state_.make_env();
}
explicit receiver_2_t(OpT& op_state)
: op_state_(op_state)
{}
};
template <class OpT>
class receiver_1_t : public stream_receiver_base
{
using Receiver = OpT::receiver_t;
OpT& op_state_;
public:
explicit receiver_1_t(OpT& op_state)
: op_state_(op_state)
{}
void set_value() noexcept
{
using inner_op_state_t = OpT::inner_op_state_t;
if (op_state_.n_)
{
inner_op_state_t& inner_op_state = op_state_.inner_op_state_.emplace(ex::__emplace_from{
[&]() noexcept
{
return ex::connect(op_state_.closure_(ex::schedule(op_state_.scheduler_)),
receiver_2_t<OpT>{op_state_});
}});
ex::start(inner_op_state);
}
else
{
op_state_.propagate_completion_signal(set_value_t());
}
}
template <class Error>
void set_error(Error&& err) noexcept
{
op_state_.propagate_completion_signal(set_error_t(), static_cast<Error&&>(err));
}
void set_stopped() noexcept
{
op_state_.propagate_completion_signal(set_stopped_t());
}
auto get_env() const noexcept -> OpT::env_t
{
return op_state_.make_env();
}
};
template <class PredSender, class Closure, class Receiver>
struct operation_state_t : _strm::opstate_base<Receiver>
{
using receiver_t = Receiver;
using child_t = PredSender;
using Scheduler = std::invoke_result_t<ex::get_completion_scheduler_t<ex::set_value_t>,
ex::env_of_t<PredSender>,
ex::env_of_t<Receiver>>;
using InnerSender = std::invoke_result_t<Closure, ex::schedule_result_t<Scheduler>>;
using predecessor_op_state_t =
ex::connect_result_t<PredSender, receiver_1_t<operation_state_t>>;
using inner_op_state_t = ex::connect_result_t<InnerSender, receiver_2_t<operation_state_t>>;
Scheduler scheduler_;
Closure closure_;
std::optional<predecessor_op_state_t> pred_op_state_;
std::optional<inner_op_state_t> inner_op_state_;
std::size_t n_{};
std::size_t i_{};
void start() & noexcept
{
if (this->stream_provider_.status_ != cudaSuccess)
{
// Couldn't allocate memory for operation state, complete with error
this->propagate_completion_signal(ex::set_error,
std::move(this->stream_provider_.status_));
}
else
{
if (n_)
{
ex::start(*pred_op_state_);
}
else
{
this->propagate_completion_signal(ex::set_value);
}
}
}
operation_state_t(PredSender&& pred_sender, Closure closure, Receiver&& rcvr, std::size_t n)
: _strm::opstate_base<Receiver>(
static_cast<Receiver&&>(rcvr),
ex::get_completion_scheduler<ex::set_value_t>(ex::get_env(pred_sender),
ex::get_env(rcvr))
.ctx_)
, scheduler_(ex::get_completion_scheduler<ex::set_value_t>(ex::get_env(pred_sender),
ex::get_env(rcvr)))
, closure_(closure)
, n_(n)
{
pred_op_state_.emplace(ex::__emplace_from{
[&]() noexcept
{ return ex::connect(static_cast<PredSender&&>(pred_sender), receiver_1_t{*this}); }});
}
};
template <class Sender, class Closure>
struct sender
{
using sender_concept = ex::sender_t;
using completion_signatures = ex::completion_signatures<ex::set_value_t(),
ex::set_stopped_t(),
ex::set_error_t(std::exception_ptr),
ex::set_error_t(cudaError_t)>;
template <ex::__decays_to<sender> Self, ex::receiver Receiver>
requires(ex::sender_to<Sender, Receiver>)
STDEXEC_EXPLICIT_THIS_BEGIN(auto connect)(this Self&& self, Receiver r)
-> nvexec::_strm::_repeat_n::operation_state_t<Sender, Closure, Receiver>
{
return nvexec::_strm::_repeat_n::operation_state_t<Sender, Closure, Receiver>(
static_cast<Self&&>(self).sender_,
static_cast<Self&&>(self).closure_,
static_cast<Receiver&&>(r),
self.n_);
}
STDEXEC_EXPLICIT_THIS_END(connect)
[[nodiscard]]
auto get_env() const noexcept -> ex::env_of_t<Sender const &>
{
return ex::get_env(sender_);
}
Sender sender_;
Closure closure_;
std::size_t n_{};
};
} // namespace _repeat_n
template <>
struct transform_sender_for<::repeat_n_t>
{
template <class Env, class Data, class Sender>
auto operator()(Env const &, ::repeat_n_t, Data&& data, Sender sndr) const
{
auto& [closure, count] = data;
using closure_t = decltype(closure);
return _strm::_repeat_n::sender<Sender, closure_t>(static_cast<Sender&&>(sndr),
ex::__forward_like<Data>(closure),
count);
}
};
} // namespace nv::execution::_strm
#endif // STDEXEC_CUDA_COMPILATION()
template <class SchedulerT>
[[nodiscard]]
auto is_gpu_scheduler([[maybe_unused]] SchedulerT&& scheduler) -> bool
{
auto snd = ex::just() | ex::on(scheduler, ex::then([] { return nvexec::is_on_gpu(); }));
auto [on_gpu] = ex::sync_wait(std::move(snd)).value();
return on_gpu;
}
auto maxwell_eqs_snr(float dt,
float* time,
bool write_results,
std::size_t n_iterations,
fields_accessor accessor,
ex::scheduler auto&& computer)
{
return ex::just()
| ex::on(computer,
repeat_n(n_iterations,
ex::bulk(ex::par, accessor.cells, update_h(accessor))
| ex::bulk(ex::par, accessor.cells, update_e(time, dt, accessor))))
| ex::then(dump_vtk(write_results, accessor));
}
void run_snr(float dt,
bool write_vtk,
std::size_t n_iterations,
grid_t& grid,
std::string_view scheduler_name,
ex::scheduler auto&& computer)
{
time_storage_t time{is_gpu_scheduler(computer)};
fields_accessor accessor = grid.accessor();
auto init = ex::just()
| ex::on(computer, ex::bulk(ex::par, grid.cells, grid_initializer(dt, accessor)));
ex::sync_wait(init);
auto snd = maxwell_eqs_snr(dt, time.get(), write_vtk, n_iterations, accessor, computer);
report_performance(grid.cells,
n_iterations,
scheduler_name,
[&snd] { ex::sync_wait(std::move(snd)); });
}
STDEXEC_PRAGMA_POP()