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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.
*
******************************************************************************/
#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
#if _CCCL_HAS_CUDA_COMPILER
# include <thrust/system/cuda/config.h>
# include <cub/device/device_adjacent_difference.cuh>
# include <cub/util_math.cuh>
# include <thrust/detail/minmax.h>
# include <thrust/detail/temporary_array.h>
# include <thrust/detail/type_traits.h>
# include <thrust/functional.h>
# include <thrust/system/cuda/detail/cdp_dispatch.h>
# include <thrust/system/cuda/detail/dispatch.h>
# include <thrust/system/cuda/detail/par_to_seq.h>
# include <thrust/system/cuda/detail/util.h>
# include <thrust/type_traits/is_contiguous_iterator.h>
# include <cuda/std/type_traits>
# include <cstdint>
THRUST_NAMESPACE_BEGIN
template <typename DerivedPolicy, typename InputIterator, typename OutputIterator, typename BinaryFunction>
_CCCL_HOST_DEVICE OutputIterator adjacent_difference(
const thrust::detail::execution_policy_base<DerivedPolicy>& exec,
InputIterator first,
InputIterator last,
OutputIterator result,
BinaryFunction binary_op);
namespace cuda_cub
{
namespace __adjacent_difference
{
template <bool MayAlias, class InputIt, class OutputIt, class BinaryOp>
cudaError_t THRUST_RUNTIME_FUNCTION doit_step(
void* d_temp_storage,
size_t& temp_storage_bytes,
InputIt first,
OutputIt result,
BinaryOp binary_op,
std::size_t num_items,
cudaStream_t stream)
{
if (num_items == 0)
{
return cudaSuccess;
}
constexpr bool may_alias = MayAlias;
constexpr bool read_left = true;
using Dispatch32 = cub::DispatchAdjacentDifference<InputIt, OutputIt, BinaryOp, std::int32_t, may_alias, read_left>;
using Dispatch64 = cub::DispatchAdjacentDifference<InputIt, OutputIt, BinaryOp, std::int64_t, may_alias, read_left>;
cudaError_t status;
THRUST_INDEX_TYPE_DISPATCH2(
status,
Dispatch32::Dispatch,
Dispatch64::Dispatch,
num_items,
(d_temp_storage, temp_storage_bytes, first, result, num_items_fixed, binary_op, stream));
return status;
}
template <class InputIt, class OutputIt, class BinaryOp>
cudaError_t THRUST_RUNTIME_FUNCTION doit_step(
void* d_temp_storage,
size_t& temp_storage_bytes,
InputIt first,
OutputIt result,
BinaryOp binary_op,
std::size_t num_items,
cudaStream_t stream,
thrust::detail::integral_constant<bool, false> /* comparable */)
{
constexpr bool may_alias = true;
return doit_step<may_alias>(d_temp_storage, temp_storage_bytes, first, result, binary_op, num_items, stream);
}
template <class InputIt, class OutputIt, class BinaryOp>
cudaError_t THRUST_RUNTIME_FUNCTION doit_step(
void* d_temp_storage,
size_t& temp_storage_bytes,
InputIt first,
OutputIt result,
BinaryOp binary_op,
std::size_t num_items,
cudaStream_t stream,
thrust::detail::integral_constant<bool, true> /* comparable */)
{
// The documentation states that pointers might be equal but can't alias in
// any other way. That is, the distance should be equal to zero or exceed
// `num_items`. In the latter case, we use an optimized version.
if (first != result)
{
constexpr bool may_alias = false;
return doit_step<may_alias>(d_temp_storage, temp_storage_bytes, first, result, binary_op, num_items, stream);
}
constexpr bool may_alias = true;
return doit_step<may_alias>(d_temp_storage, temp_storage_bytes, first, result, binary_op, num_items, stream);
}
template <typename Derived, typename InputIt, typename OutputIt, typename BinaryOp>
OutputIt THRUST_RUNTIME_FUNCTION
adjacent_difference(execution_policy<Derived>& policy, InputIt first, InputIt last, OutputIt result, BinaryOp binary_op)
{
const auto num_items = static_cast<std::size_t>(thrust::distance(first, last));
std::size_t storage_size = 0;
cudaStream_t stream = cuda_cub::stream(policy);
using UnwrapInputIt = thrust::try_unwrap_contiguous_iterator_t<InputIt>;
using UnwrapOutputIt = thrust::try_unwrap_contiguous_iterator_t<OutputIt>;
using InputValueT = thrust::iterator_value_t<UnwrapInputIt>;
using OutputValueT = thrust::iterator_value_t<UnwrapOutputIt>;
constexpr bool can_compare_iterators =
::cuda::std::is_pointer<UnwrapInputIt>::value && ::cuda::std::is_pointer<UnwrapOutputIt>::value
&& std::is_same<InputValueT, OutputValueT>::value;
auto first_unwrap = thrust::try_unwrap_contiguous_iterator(first);
auto result_unwrap = thrust::try_unwrap_contiguous_iterator(result);
thrust::detail::integral_constant<bool, can_compare_iterators> comparable;
cudaError_t status =
doit_step(nullptr, storage_size, first_unwrap, result_unwrap, binary_op, num_items, stream, comparable);
cuda_cub::throw_on_error(status, "adjacent_difference failed on 1st step");
// Allocate temporary storage.
thrust::detail::temporary_array<std::uint8_t, Derived> tmp(policy, storage_size);
status = doit_step(
static_cast<void*>(tmp.data().get()),
storage_size,
first_unwrap,
result_unwrap,
binary_op,
num_items,
stream,
comparable);
cuda_cub::throw_on_error(status, "adjacent_difference failed on 2nd step");
status = cuda_cub::synchronize_optional(policy);
cuda_cub::throw_on_error(status, "adjacent_difference failed to synchronize");
return result + num_items;
}
} // namespace __adjacent_difference
//-------------------------
// Thrust API entry points
//-------------------------
_CCCL_EXEC_CHECK_DISABLE
template <class Derived, class InputIt, class OutputIt, class BinaryOp>
OutputIt _CCCL_HOST_DEVICE
adjacent_difference(execution_policy<Derived>& policy, InputIt first, InputIt last, OutputIt result, BinaryOp binary_op)
{
THRUST_CDP_DISPATCH(
(result = __adjacent_difference::adjacent_difference(policy, first, last, result, binary_op);),
(result = thrust::adjacent_difference(cvt_to_seq(derived_cast(policy)), first, last, result, binary_op);));
return result;
}
template <class Derived, class InputIt, class OutputIt>
OutputIt _CCCL_HOST_DEVICE
adjacent_difference(execution_policy<Derived>& policy, InputIt first, InputIt last, OutputIt result)
{
using input_type = typename iterator_traits<InputIt>::value_type;
return cuda_cub::adjacent_difference(policy, first, last, result, minus<input_type>());
}
} // namespace cuda_cub
THRUST_NAMESPACE_END
//
# include <thrust/adjacent_difference.h>
# include <thrust/memory.h>
#endif