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/******************************************************************************
* Copyright (c) 2018, 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: Move into system::cuda
#pragma once
#include <thrust/detail/config.h>
#include <thrust/detail/cpp14_required.h>
#if THRUST_CPP_DIALECT >= 2014
#if THRUST_DEVICE_COMPILER == THRUST_DEVICE_COMPILER_NVCC
#include <thrust/system/cuda/config.h>
#include <thrust/system/cuda/detail/async/customization.h>
#include <thrust/system/cuda/detail/async/copy.h>
#include <thrust/system/cuda/detail/sort.h>
#include <thrust/detail/alignment.h>
#include <thrust/system/cuda/future.h>
#include <thrust/type_traits/is_trivially_relocatable.h>
#include <thrust/type_traits/is_contiguous_iterator.h>
#include <thrust/type_traits/is_operator_less_or_greater_function_object.h>
#include <thrust/type_traits/logical_metafunctions.h>
#include <thrust/iterator/iterator_traits.h>
#include <thrust/detail/static_assert.h>
#include <thrust/distance.h>
#include <type_traits>
THRUST_NAMESPACE_BEGIN
namespace system { namespace cuda { namespace detail
{
// Non-ContiguousIterator input and output iterators
template <
typename DerivedPolicy
, typename ForwardIt, typename Size, typename StrictWeakOrdering
>
auto async_stable_sort_n(
execution_policy<DerivedPolicy>& policy,
ForwardIt first,
Size n,
StrictWeakOrdering comp
) ->
typename std::enable_if<
negation<is_contiguous_iterator<ForwardIt>>::value
, unique_eager_event
>::type
{
using T = typename iterator_traits<ForwardIt>::value_type;
auto const device_alloc = get_async_device_allocator(policy);
// Create device-side buffer.
// FIXME: Combine this temporary allocation with the main one for CUB.
auto device_buffer = uninitialized_allocate_unique_n<T>(device_alloc, n);
auto const device_buffer_ptr = device_buffer.get();
// Synthesize a suitable new execution policy, because we don't want to
// try and extract twice from the one we were passed.
typename remove_cvref_t<decltype(policy)>::tag_type tag_policy{};
// Copy from the input into the buffer.
auto new_policy0 = thrust::detail::derived_cast(policy).rebind_after(
std::move(device_buffer)
);
THRUST_STATIC_ASSERT((
std::tuple_size<decltype(
extract_dependencies(policy)
)>::value + 1
<=
std::tuple_size<decltype(
extract_dependencies(new_policy0)
)>::value
));
auto f0 = async_copy_n(
new_policy0
, tag_policy
, first
, n
, device_buffer_ptr
);
// Sort the buffer.
auto new_policy1 = thrust::detail::derived_cast(policy).rebind_after(
std::move(f0)
);
THRUST_STATIC_ASSERT((
std::tuple_size<decltype(
extract_dependencies(policy)
)>::value + 1
<=
std::tuple_size<decltype(
extract_dependencies(new_policy1)
)>::value
));
auto f1 = async_sort_n(
new_policy1
, tag_policy
, device_buffer_ptr
, n
, comp
);
// Copy from the buffer into the input.
// FIXME: Combine this with the potential memcpy at the end of the main sort
// routine.
auto new_policy2 = thrust::detail::derived_cast(policy).rebind_after(
std::move(f1)
);
THRUST_STATIC_ASSERT((
std::tuple_size<decltype(
extract_dependencies(policy)
)>::value + 1
<=
std::tuple_size<decltype(
extract_dependencies(new_policy2)
)>::value
));
return async_copy_n(
new_policy2
, tag_policy
, device_buffer_ptr
, n
, first
);
}
// ContiguousIterator iterators
// Non-Scalar value type or user-defined StrictWeakOrdering
template <
typename DerivedPolicy
, typename ForwardIt, typename Size, typename StrictWeakOrdering
>
auto async_stable_sort_n(
execution_policy<DerivedPolicy>& policy,
ForwardIt first,
Size n,
StrictWeakOrdering comp
) ->
typename std::enable_if<
conjunction<
is_contiguous_iterator<ForwardIt>
, disjunction<
negation<
std::is_scalar<
typename iterator_traits<ForwardIt>::value_type
>
>
, negation<
is_operator_less_or_greater_function_object<StrictWeakOrdering>
>
>
>::value
, unique_eager_event
>::type
{
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(
thrust::cuda_cub::__merge_sort::doit_step<
/* Sort items? */ std::false_type, /* Stable? */ std::true_type
>(
nullptr
, tmp_size
, first
, static_cast<thrust::detail::uint8_t*>(nullptr) // Items.
, n
, comp
, nullptr // Null stream, just for sizing.
, THRUST_DEBUG_SYNC_FLAG
)
, "after merge sort sizing"
);
// Allocate temporary storage.
auto content = uninitialized_allocate_unique_n<thrust::detail::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 merge sort.
thrust::cuda_cub::throw_on_error(
thrust::cuda_cub::__merge_sort::doit_step<
/* Sort items? */ std::false_type, /* Stable? */ std::true_type
>(
tmp_ptr
, tmp_size
, first
, static_cast<thrust::detail::uint8_t*>(nullptr) // Items.
, n
, comp
, e.stream().native_handle()
, THRUST_DEBUG_SYNC_FLAG
)
, "after merge sort sizing"
);
return e;
}
template <typename T, typename Size, typename StrictWeakOrdering>
typename std::enable_if<
is_operator_less_function_object<StrictWeakOrdering>::value
, cudaError_t
>::type
invoke_radix_sort(
cudaStream_t stream
, void* tmp_ptr
, std::size_t& tmp_size
, cub::DoubleBuffer<T>& keys
, Size& n
, StrictWeakOrdering
)
{
return cub::DeviceRadixSort::SortKeys(
tmp_ptr
, tmp_size
, keys
, n
, 0
, sizeof(T) * 8
, stream
, THRUST_DEBUG_SYNC_FLAG
);
}
template <typename T, typename Size, typename StrictWeakOrdering>
typename std::enable_if<
is_operator_greater_function_object<StrictWeakOrdering>::value
, cudaError_t
>::type
invoke_radix_sort(
cudaStream_t stream
, void* tmp_ptr
, std::size_t& tmp_size
, cub::DoubleBuffer<T>& keys
, Size& n
, StrictWeakOrdering
)
{
return cub::DeviceRadixSort::SortKeysDescending(
tmp_ptr
, tmp_size
, keys
, n
, 0
, sizeof(T) * 8
, stream
, THRUST_DEBUG_SYNC_FLAG
);
}
// ContiguousIterator iterators
// Scalar value type
// operator< or operator>
template <
typename DerivedPolicy
, typename ForwardIt, typename Size, typename StrictWeakOrdering
>
auto async_stable_sort_n(
execution_policy<DerivedPolicy>& policy
, ForwardIt first
, Size n
, StrictWeakOrdering comp
) ->
typename std::enable_if<
conjunction<
is_contiguous_iterator<ForwardIt>
, std::is_scalar<
typename iterator_traits<ForwardIt>::value_type
>
, is_operator_less_or_greater_function_object<StrictWeakOrdering>
>::value
, unique_eager_event
>::type
{
using T = typename iterator_traits<ForwardIt>::value_type;
auto const device_alloc = get_async_device_allocator(policy);
unique_eager_event e;
cub::DoubleBuffer<T> keys(
raw_pointer_cast(&*first), nullptr
);
// Determine temporary device storage requirements.
size_t tmp_size = 0;
thrust::cuda_cub::throw_on_error(
invoke_radix_sort(
nullptr // Null stream, just for sizing.
, nullptr
, tmp_size
, keys
, n
, comp
)
, "after radix sort sizing"
);
// Allocate temporary storage.
size_t keys_temp_storage = thrust::detail::aligned_storage_size(
sizeof(T) * n, 128
);
auto content = uninitialized_allocate_unique_n<thrust::detail::uint8_t>(
device_alloc, keys_temp_storage + 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();
keys.d_buffers[1] = thrust::detail::aligned_reinterpret_cast<T*>(
raw_pointer_cast(content_ptr)
);
void* const tmp_ptr = static_cast<void*>(
raw_pointer_cast(content_ptr + keys_temp_storage)
);
// 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 radix sort.
thrust::cuda_cub::throw_on_error(
invoke_radix_sort(
e.stream().native_handle()
, tmp_ptr
, tmp_size
, keys
, n
, comp
)
, "after radix sort launch"
);
if (0 != keys.selector)
{
auto new_policy0 = thrust::detail::derived_cast(policy).rebind_after(
std::move(e)
);
THRUST_STATIC_ASSERT((
std::tuple_size<decltype(
extract_dependencies(policy)
)>::value + 1
<=
std::tuple_size<decltype(
extract_dependencies(new_policy0)
)>::value
));
// Synthesize a suitable new execution policy, because we don't want to
// try and extract twice from the one we were passed.
typename remove_cvref_t<decltype(policy)>::tag_type tag_policy{};
using return_future = decltype(e);
return return_future(async_copy_n(
new_policy0
, tag_policy
, keys.d_buffers[1]
, n
, keys.d_buffers[0]
));
}
else
return e;
}
}}} // namespace system::cuda::detail
namespace cuda_cub
{
// ADL entry point.
template <
typename DerivedPolicy
, typename ForwardIt, typename Sentinel, typename StrictWeakOrdering
>
auto async_stable_sort(
execution_policy<DerivedPolicy>& policy,
ForwardIt first,
Sentinel last,
StrictWeakOrdering comp
)
// A GCC 5 bug requires an explicit trailing return type here, so stick with
// THRUST_DECLTYPE_RETURNS for now.
THRUST_DECLTYPE_RETURNS(
thrust::system::cuda::detail::async_stable_sort_n(
policy, first, distance(first, last), comp
)
)
} // cuda_cub
THRUST_NAMESPACE_END
#endif // THRUST_DEVICE_COMPILER == THRUST_DEVICE_COMPILER_NVCC
#endif
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