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Flatten subprojects into a single base monorepo
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/******************************************************************************
* Copyright (c) 2016, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
******************************************************************************/
// TODO: Optimize for thrust::plus
// TODO: Move into system::cuda
#pragma once
#include <thrust/detail/config.h>
#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
# pragma GCC system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
# pragma clang system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
# pragma system_header
#endif // no system header
#include <thrust/detail/cpp_version_check.h>
#if _CCCL_STD_VER >= 2017
# if _CCCL_HAS_CUDA_COMPILER
# include <thrust/system/cuda/config.h>
# include <thrust/distance.h>
# include <thrust/iterator/iterator_traits.h>
# include <thrust/system/cuda/detail/async/customization.h>
# include <thrust/system/cuda/detail/reduce.h>
# include <thrust/system/cuda/future.h>
# include <cuda/std/type_traits>
# include <type_traits>
_CCCL_SUPPRESS_DEPRECATED_PUSH
THRUST_NAMESPACE_BEGIN
namespace system
{
namespace cuda
{
namespace detail
{
template <typename DerivedPolicy, typename ForwardIt, typename Size, typename T, typename BinaryOp>
unique_eager_future<::cuda::std::remove_cvref_t<T>>
async_reduce_n(execution_policy<DerivedPolicy>& policy, ForwardIt first, Size n, T init, BinaryOp op)
{
using U = ::cuda::std::remove_cvref_t<T>;
auto const device_alloc = get_async_device_allocator(policy);
using pointer = typename thrust::detail::allocator_traits<decltype(device_alloc)>::template rebind_traits<U>::pointer;
unique_eager_future_promise_pair<U, pointer> fp;
// Determine temporary device storage requirements.
size_t tmp_size = 0;
thrust::cuda_cub::throw_on_error(
cub::DeviceReduce::Reduce(nullptr, tmp_size, first, static_cast<U*>(nullptr), n, op, init, nullptr // Null stream,
// just for
// sizing.
),
"after reduction sizing");
// Allocate temporary storage.
auto content = uninitialized_allocate_unique_n<std::uint8_t>(device_alloc, sizeof(U) + tmp_size);
// The array was dynamically allocated, so we assume that it's suitably
// aligned for any type of data. `malloc`/`cudaMalloc`/`new`/`std::allocator`
// make this guarantee.
auto const content_ptr = content.get();
U* const ret_ptr = thrust::detail::aligned_reinterpret_cast<U*>(raw_pointer_cast(content_ptr));
void* const tmp_ptr = static_cast<void*>(raw_pointer_cast(content_ptr + sizeof(U)));
// Set up stream with dependencies.
cudaStream_t const user_raw_stream = thrust::cuda_cub::stream(policy);
if (thrust::cuda_cub::default_stream() != user_raw_stream)
{
fp = make_dependent_future<U, pointer>(
[](decltype(content) const& c) {
return pointer(thrust::detail::aligned_reinterpret_cast<U*>(raw_pointer_cast(c.get())));
},
std::tuple_cat(std::make_tuple(std::move(content), unique_stream(nonowning, user_raw_stream)),
extract_dependencies(std::move(thrust::detail::derived_cast(policy)))));
}
else
{
fp = make_dependent_future<U, pointer>(
[](decltype(content) const& c) {
return pointer(thrust::detail::aligned_reinterpret_cast<U*>(raw_pointer_cast(c.get())));
},
std::tuple_cat(std::make_tuple(std::move(content)),
extract_dependencies(std::move(thrust::detail::derived_cast(policy)))));
}
// Run reduction.
thrust::cuda_cub::throw_on_error(
cub::DeviceReduce::Reduce(tmp_ptr, tmp_size, first, ret_ptr, n, op, init, fp.future.stream().native_handle()),
"after reduction launch");
return std::move(fp.future);
}
} // namespace detail
} // namespace cuda
} // namespace system
namespace cuda_cub
{
// ADL entry point.
template <typename DerivedPolicy, typename ForwardIt, typename Sentinel, typename T, typename BinaryOp>
auto async_reduce(execution_policy<DerivedPolicy>& policy, ForwardIt first, Sentinel last, T init, BinaryOp op)
THRUST_RETURNS(thrust::system::cuda::detail::async_reduce_n(policy, first, thrust::distance(first, last), init, op))
} // namespace cuda_cub
///////////////////////////////////////////////////////////////////////////////
namespace system
{
namespace cuda
{
namespace detail
{
template <typename DerivedPolicy, typename ForwardIt, typename Size, typename OutputIt, typename T, typename BinaryOp>
unique_eager_event async_reduce_into_n(
execution_policy<DerivedPolicy>& policy, ForwardIt first, Size n, OutputIt output, T init, BinaryOp op)
{
using U = ::cuda::std::remove_cvref_t<T>;
auto const device_alloc = get_async_device_allocator(policy);
unique_eager_event e;
// Determine temporary device storage requirements.
size_t tmp_size = 0;
thrust::cuda_cub::throw_on_error(
cub::DeviceReduce::Reduce(nullptr, tmp_size, first, static_cast<U*>(nullptr), n, op, init, nullptr // Null stream,
// just for
// sizing.
),
"after reduction sizing");
// Allocate temporary storage.
auto content = uninitialized_allocate_unique_n<std::uint8_t>(device_alloc, tmp_size);
// The array was dynamically allocated, so we assume that it's suitably
// aligned for any type of data. `malloc`/`cudaMalloc`/`new`/`std::allocator`
// make this guarantee.
auto const content_ptr = content.get();
void* const tmp_ptr = static_cast<void*>(raw_pointer_cast(content_ptr));
// Set up stream with dependencies.
cudaStream_t const user_raw_stream = thrust::cuda_cub::stream(policy);
if (thrust::cuda_cub::default_stream() != user_raw_stream)
{
e = make_dependent_event(
std::tuple_cat(std::make_tuple(std::move(content), unique_stream(nonowning, user_raw_stream)),
extract_dependencies(std::move(thrust::detail::derived_cast(policy)))));
}
else
{
e = make_dependent_event(std::tuple_cat(
std::make_tuple(std::move(content)), extract_dependencies(std::move(thrust::detail::derived_cast(policy)))));
}
// Run reduction.
thrust::cuda_cub::throw_on_error(
cub::DeviceReduce::Reduce(tmp_ptr, tmp_size, first, output, n, op, init, e.stream().native_handle()),
"after reduction launch");
return e;
}
} // namespace detail
} // namespace cuda
} // namespace system
namespace cuda_cub
{
// ADL entry point.
template <typename DerivedPolicy, typename ForwardIt, typename Sentinel, typename OutputIt, typename T, typename BinaryOp>
auto async_reduce_into(
execution_policy<DerivedPolicy>& policy, ForwardIt first, Sentinel last, OutputIt output, T init, BinaryOp op)
THRUST_RETURNS(
thrust::system::cuda::detail::async_reduce_into_n(policy, first, thrust::distance(first, last), output, init, op))
} // namespace cuda_cub
_CCCL_SUPPRESS_DEPRECATED_POP
THRUST_NAMESPACE_END
# endif // _CCCL_CUDA_COMPILER
#endif