repo_id stringlengths 21 96 | file_path stringlengths 31 155 | content stringlengths 1 92.9M | __index_level_0__ int64 0 0 |
|---|---|---|---|
rapidsai_public_repos/raft/cpp/include/raft/thirdparty | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/CMakeLists.txt | cmake_minimum_required(VERSION 3.14)
project(MDSpan
VERSION 0.4.0
LANGUAGES CXX
)
include(GNUInstallDirs)
################################################################################
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
################################################################################
option(MDSPAN_ENABLE_TESTS "Enable tests." Off)
option(MDSPAN_ENABLE_EXAMPLES "Build examples." Off)
option(MDSPAN_ENABLE_BENCHMARKS "Enable benchmarks." Off)
option(MDSPAN_ENABLE_COMP_BENCH "Enable compilation benchmarks." Off)
option(MDSPAN_ENABLE_CUDA "Enable Cuda tests/benchmarks/examples if tests/benchmarks/examples are enabled." Off)
option(MDSPAN_ENABLE_OPENMP "Enable OpenMP benchmarks if benchmarks are enabled." On)
option(MDSPAN_USE_SYSTEM_GTEST "Use system-installed GoogleTest library for tests." Off)
# Option to override which C++ standard to use
set(MDSPAN_CXX_STANDARD DETECT CACHE STRING "Override the default CXX_STANDARD to compile with.")
set_property(CACHE MDSPAN_CXX_STANDARD PROPERTY STRINGS DETECT 14 17 20 23)
option(MDSPAN_ENABLE_CONCEPTS "Try to enable concepts support by giving extra flags." On)
################################################################################
# Decide on the standard to use
if(MDSPAN_CXX_STANDARD STREQUAL "17")
if("cxx_std_17" IN_LIST CMAKE_CXX_COMPILE_FEATURES)
message(STATUS "Using C++17 standard")
set(CMAKE_CXX_STANDARD 17)
else()
message(FATAL_ERROR "Requested MDSPAN_CXX_STANDARD \"17\" not supported by provided C++ compiler")
endif()
elseif(MDSPAN_CXX_STANDARD STREQUAL "14")
if("cxx_std_14" IN_LIST CMAKE_CXX_COMPILE_FEATURES)
message(STATUS "Using C++14 standard")
set(CMAKE_CXX_STANDARD 14)
else()
message(FATAL_ERROR "Requested MDSPAN_CXX_STANDARD \"14\" not supported by provided C++ compiler")
endif()
elseif(MDSPAN_CXX_STANDARD STREQUAL "20")
if("cxx_std_20" IN_LIST CMAKE_CXX_COMPILE_FEATURES)
message(STATUS "Using C++20 standard")
set(CMAKE_CXX_STANDARD 20)
else()
message(FATAL_ERROR "Requested MDSPAN_CXX_STANDARD \"20\" not supported by provided C++ compiler")
endif()
elseif(MDSPAN_CXX_STANDARD STREQUAL "23")
if("cxx_std_23" IN_LIST CMAKE_CXX_COMPILE_FEATURES)
message(STATUS "Using C++23 standard")
set(CMAKE_CXX_STANDARD 23)
else()
message(FATAL_ERROR "Requested MDSPAN_CXX_STANDARD \"23\" not supported by provided C++ compiler")
endif()
else()
if("cxx_std_23" IN_LIST CMAKE_CXX_COMPILE_FEATURES)
set(CMAKE_CXX_STANDARD 23)
message(STATUS "Detected support for C++23 standard")
elseif("cxx_std_20" IN_LIST CMAKE_CXX_COMPILE_FEATURES)
set(CMAKE_CXX_STANDARD 20)
message(STATUS "Detected support for C++20 standard")
elseif("cxx_std_17" IN_LIST CMAKE_CXX_COMPILE_FEATURES)
set(CMAKE_CXX_STANDARD 17)
message(STATUS "Detected support for C++17 standard")
elseif("cxx_std_14" IN_LIST CMAKE_CXX_COMPILE_FEATURES)
set(CMAKE_CXX_STANDARD 14)
message(STATUS "Detected support for C++14 standard")
else()
message(FATAL_ERROR "Cannot detect CXX_STANDARD of C++14 or newer.")
endif()
endif()
################################################################################
if(MDSPAN_ENABLE_CONCEPTS)
if(CMAKE_CXX_STANDARD GREATER_EQUAL 20)
include(CheckCXXCompilerFlag)
check_cxx_compiler_flag("-fconcepts" COMPILER_SUPPORTS_FCONCEPTS)
if(COMPILER_SUPPORTS_FCONCEPTS)
message(STATUS "Using \"-fconcepts\" to enable concepts support")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fconcepts")
else()
check_cxx_compiler_flag("-fconcepts-ts" COMPILER_SUPPORTS_FCONCEPTS_TS)
if(COMPILER_SUPPORTS_FCONCEPTS)
message(STATUS "Using \"-fconcepts-ts\" to enable concepts support")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fconcepts-ts")
endif()
endif()
# Otherwise, it's possible that the compiler supports concepts without flags,
# but if it doesn't, they just won't be used, which is fine
endif()
endif()
################################################################################
if(MDSPAN_ENABLE_CUDA)
include(CheckLanguage)
check_language(CUDA)
if(CMAKE_CUDA_COMPILER)
message(STATUS "Using ${CMAKE_CXX_STANDARD} as CMAKE_CUDA_STANDARD")
set(CMAKE_CUDA_STANDARD ${CMAKE_CXX_STANDARD})
set(CMAKE_CUDA_STANDARD_REQUIRED ON)
enable_language(CUDA)
else()
message(FATAL_ERROR "Requested CUDA support, but no CMAKE_CUDA_COMPILER available")
endif()
if(MDSPAN_ENABLE_TESTS)
set(MDSPAN_TEST_LANGUAGE CUDA)
endif()
endif()
################################################################################
add_library(mdspan INTERFACE)
add_library(std::mdspan ALIAS mdspan)
target_include_directories(mdspan INTERFACE
$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>
$<INSTALL_INTERFACE:${CMAKE_INSTALL_INCLUDEDIR}>
)
################################################################################
install(TARGETS mdspan EXPORT mdspanTargets
INCLUDES DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}
)
install(EXPORT mdspanTargets
FILE mdspanTargets.cmake
NAMESPACE std::
DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/mdspan
)
export(TARGETS mdspan
NAMESPACE std::
FILE mdspanTargets.cmake
)
install(DIRECTORY include/experimental DESTINATION ${CMAKE_INSTALL_INCLUDEDIR})
include(CMakePackageConfigHelpers)
configure_package_config_file(cmake/mdspanConfig.cmake.in
${CMAKE_CURRENT_BINARY_DIR}/mdspanConfig.cmake
INSTALL_DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/mdspan
)
write_basic_package_version_file(${CMAKE_CURRENT_BINARY_DIR}/mdspanConfigVersion.cmake
COMPATIBILITY SameMajorVersion
ARCH_INDEPENDENT
)
install(FILES ${CMAKE_CURRENT_BINARY_DIR}/mdspanConfig.cmake ${CMAKE_CURRENT_BINARY_DIR}/mdspanConfigVersion.cmake
DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/mdspan
)
################################################################################
if(MDSPAN_ENABLE_TESTS)
enable_testing()
add_subdirectory(tests)
add_subdirectory(compilation_tests)
endif()
if(MDSPAN_ENABLE_EXAMPLES)
add_subdirectory(examples)
endif()
if(MDSPAN_ENABLE_BENCHMARKS)
add_subdirectory(benchmarks)
endif()
if(MDSPAN_ENABLE_COMP_BENCH)
add_subdirectory(comp_bench)
endif()
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/README.md | Reference `mdspan` implementation
==========================================
The ISO-C++ proposal [P0009](https://wg21.link/p0009) will add support for non-owning multi-dimensional array references to the C++ standard library. This repository aims to provide a production-quality implementation of the proposal as written (with a few caveats, see below) in preparation for the addition of `mdspan` to the standard. Please feel free to use this, file bugs when it breaks, and let us know how it works for you :-)
[Try it out on Godbolt](https://godbolt.org/z/Mxa7cej1a){: .btn }
During the final leg of the ISO C++ committee review process a number of breaking changes were proposed and accepted (issue #136). These are now merged into the stable branch.
Note: There is a tag mdspan-0.3.0 which reflects the status of P0009 before R17 - i.e. it does not have the integral type template parameter for `extents`.
Note: There is a tag mdspan-0.4.0 which reflects the status of P0009 before
* renaming `pointer`, `data`, `is_contiguous` and `is_always_contiguous`; and before
* renaming `size_type` to `index_type` and introducing a new `size_type = make_unsigned_t<index_type>` alias.
Using `mdspan`
--------------
A [tutorial-style introduction](https://github.com/kokkos/mdspan/wiki/A-Gentle-Introduction-to-mdspan) to the basic usage of `mdspan` is provided on the project wiki. More advanced tutorials to come.
Features in Addition To C++ Standard
------------------------------------
- C++17 backport (e.g., concepts not required)
- C++14 backport (e.g., fold expressions not required)
- Compile times of this backport will be substantially slower than the C++17 version
- Macros to enable, e.g., `__device__` marking of all functions for CUDA compatibility
Building and Installation
-------------------------
This implementation is header-only, with compiler features detected using feature test macros, so you can just use it directly with no building or installation. If you would like to run the included tests or benchmarks, you'll need CMake.
### Running tests
#### Configurations
- clang-15 / cmake 3.23
- Warning free with `-Wall -Wextra -pedantic` for C++23/20. In C++17 pedantic will give a few warnings, in C++14 Wextra will also give some.
- `cmake -DMDSPAN_ENABLE_TESTS=ON -DMDSPAN_ENABLE_BENCHMARKS=ON -DCMAKE_CXX_FLAGS="-Werror -Wall -Wextra -pedantic" -DCMAKE_CXX_STANDARD=23 -DMDSPAN_CXX_STANDARD=23 -DCMAKE_CXX_COMPILER=clang++`
- gcc-11 / cmake 3.23
- Warning free with `-Wall -Wextra -pedantic` for C++23/20. In C++17 and C++14 pedantic will give a warning (note only with `CMAKE_CXX_EXTENSION=OFF`).
- `cmake -DMDSPAN_ENABLE_TESTS=ON -DMDSPAN_ENABLE_BENCHMARKS=ON -DCMAKE_CXX_FLAGS="-Werror -Wall -Wextra -pedantic" -DCMAKE_CXX_STANDARD=17 -DMDSPAN_CXX_STANDARD=17 -DCMAKE_CXX_COMPILER=g++ -DCMAKE_CXX_EXTENSIONS=OFF`
### Running benchmarks
TODO write this
Caveats
-------
This implementation is fully conforming with revision 14 of P0009 with a few exceptions (most of which are extensions):
### C++20
- implements `operator()` not `operator[]`
- note you can control which operator is available with defining `MDSPAN_USE_BRACKET_OPERATOR=[0,1]` and `MDSPAN_USE_PAREN_OPERATOR=[0,1]` irrespective of whether multi dimensional subscript support is detected.
### C++17 and C++14
- mdspan has a default constructor even in cases where it shouldn't (i.e. all static extents, and default constructible mapping/accessor)
- the `layout_stride::mapping::strides` function returns `array` not `span`.
- the conditional explicit markup is missing, making certain constructors implicit
- most notably you can implicitly convert from dynamic extent to static extent, which you can't in C++20 mode
### C++14
- deduction guides don't exist
Acknowledgements
================
This work was undertaken as part of the [Kokkos project](https://github.com/kokkos/kokkos) at Sandia National Laboratories. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U. S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525.
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/make_single_header.py | #!/usr/bin/env python3
import re
import sys
import os
from os.path import dirname, join as path_join, abspath, exists
extra_paths = [path_join(dirname(abspath(__file__)), "include")]
def find_file(included_name, current_file):
current_dir = dirname(abspath(current_file))
for idir in [current_dir] + extra_paths:
try_path = path_join(idir, included_name)
if exists(try_path):
return try_path
return None
def process_file(file_path, out_lines=[], front_matter_lines=[], back_matter_lines=[], processed_files=[]):
out_lines += "//BEGIN_FILE_INCLUDE: " + file_path + "\n"
with open(file_path, "r") as f:
for line in f:
m_inc = re.match(r'# *include\s*[<"](.+)[>"]\s*', line)
if m_inc:
inc_name = m_inc.group(1)
inc_path = find_file(inc_name, file_path)
if inc_path not in processed_files:
if inc_path is not None:
processed_files += [inc_path]
process_file(inc_path, out_lines, front_matter_lines, back_matter_lines, processed_files)
else:
# assume it's a system header; add it to the front matter just to be clean
front_matter_lines += [line]
continue
m_once = re.match(r"#pragma once\s*", line)
# ignore pragma once; we're handling it here
if m_once:
continue
# otherwise, just add the line to the output
if line[-1] != "\n": line = line + "\n"
out_lines += [line]
out_lines += "//END_FILE_INCLUDE: " + file_path + "\n"
return "".join(front_matter_lines) + "\n" + "".join(out_lines) + "".join(back_matter_lines)
if __name__ == "__main__":
print(process_file(abspath(sys.argv[1]), [],
# We use an include guard instead of `#pragma once` because Godbolt will
# cause complaints about `#pragma once` when they are used in URL includes.
["#ifndef _MDSPAN_SINGLE_HEADER_INCLUDE_GUARD_\n",
"#define _MDSPAN_SINGLE_HEADER_INCLUDE_GUARD_\n"],
["#endif // _MDSPAN_SINGLE_HEADER_INCLUDE_GUARD_\n"],
[abspath(sys.argv[1])]))
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/LICENSE | //@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2014) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Kokkos is licensed under 3-clause BSD terms of use:
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/mdarray | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "mdspan"
#include "__p1684_bits/mdarray.hpp"
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/mdspan | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "__p0009_bits/default_accessor.hpp"
#include "__p0009_bits/aligned_accessor.hpp"
#include "__p0009_bits/full_extent_t.hpp"
#include "__p0009_bits/mdspan.hpp"
#include "__p0009_bits/dynamic_extent.hpp"
#include "__p0009_bits/extents.hpp"
#include "__p0009_bits/layout_stride.hpp"
#include "__p0009_bits/layout_left.hpp"
#include "__p0009_bits/layout_right.hpp"
#include "__p0009_bits/layout_padded.hpp"
#include "__p0009_bits/macros.hpp"
#include "__p0009_bits/static_array.hpp"
#include "__p0009_bits/submdspan.hpp"
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p1684_bits/mdarray.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "../mdspan"
#include <cassert>
#include <vector>
namespace std {
namespace experimental {
namespace {
template<class Extents>
struct size_of_extents;
template<class IndexType, size_t ... Extents>
struct size_of_extents<extents<IndexType, Extents...>> {
constexpr static size_t value() {
size_t size = 1;
for(size_t r=0; r<extents<IndexType, Extents...>::rank(); r++)
size *= extents<IndexType, Extents...>::static_extent(r);
return size;
}
};
}
namespace {
template<class C>
struct container_is_array : false_type {
template<class M>
static constexpr C construct(const M& m) { return C(m.required_span_size()); }
};
template<class T, size_t N>
struct container_is_array<array<T,N>> : true_type {
template<class M>
static constexpr array<T,N> construct(const M&) { return array<T,N>(); }
};
}
template <
class ElementType,
class Extents,
class LayoutPolicy = layout_right,
class Container = vector<ElementType>
>
class mdarray {
private:
static_assert(detail::__is_extents_v<Extents>, "std::experimental::mdspan's Extents template parameter must be a specialization of std::experimental::extents.");
public:
//--------------------------------------------------------------------------------
// Domain and codomain types
using extents_type = Extents;
using layout_type = LayoutPolicy;
using container_type = Container;
using mapping_type = typename layout_type::template mapping<extents_type>;
using element_type = ElementType;
using value_type = remove_cv_t<element_type>;
using index_type = typename Extents::index_type;
using pointer = typename container_type::pointer;
using reference = typename container_type::reference;
using const_pointer = typename container_type::const_pointer;
using const_reference = typename container_type::const_reference;
public:
//--------------------------------------------------------------------------------
// [mdspan.basic.cons], mdspan constructors, assignment, and destructor
#if !(MDSPAN_HAS_CXX_20)
MDSPAN_FUNCTION_REQUIRES(
(MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr),
mdarray, (), ,
/* requires */ (extents_type::rank_dynamic()!=0)) {}
#else
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mdarray() requires(extents_type::rank_dynamic()!=0) = default;
#endif
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mdarray(const mdarray&) = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mdarray(mdarray&&) = default;
// Constructors for container types constructible from a size
MDSPAN_TEMPLATE_REQUIRES(
class... SizeTypes,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, SizeTypes, index_type) /* && ... */) &&
_MDSPAN_TRAIT(is_constructible, extents_type, SizeTypes...) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type) &&
(_MDSPAN_TRAIT(is_constructible, container_type, size_t) ||
container_is_array<container_type>::value) &&
(extents_type::rank()>0 || extents_type::rank_dynamic()==0)
)
)
MDSPAN_INLINE_FUNCTION
explicit constexpr mdarray(SizeTypes... dynamic_extents)
: map_(extents_type(dynamic_extents...)), ctr_(container_is_array<container_type>::construct(map_))
{ }
MDSPAN_FUNCTION_REQUIRES(
(MDSPAN_INLINE_FUNCTION constexpr),
mdarray, (const extents_type& exts), ,
/* requires */ ((_MDSPAN_TRAIT(is_constructible, container_type, size_t) ||
container_is_array<container_type>::value) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type))
) : map_(exts), ctr_(container_is_array<container_type>::construct(map_))
{ }
MDSPAN_FUNCTION_REQUIRES(
(MDSPAN_INLINE_FUNCTION constexpr),
mdarray, (const mapping_type& m), ,
/* requires */ (_MDSPAN_TRAIT(is_constructible, container_type, size_t) ||
container_is_array<container_type>::value)
) : map_(m), ctr_(container_is_array<container_type>::construct(map_))
{ }
// Constructors from container
MDSPAN_TEMPLATE_REQUIRES(
class... SizeTypes,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, SizeTypes, index_type) /* && ... */) &&
_MDSPAN_TRAIT(is_constructible, extents_type, SizeTypes...) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type)
)
)
MDSPAN_INLINE_FUNCTION
explicit constexpr mdarray(const container_type& ctr, SizeTypes... dynamic_extents)
: map_(extents_type(dynamic_extents...)), ctr_(ctr)
{ assert(ctr.size() >= static_cast<size_t>(map_.required_span_size())); }
MDSPAN_FUNCTION_REQUIRES(
(MDSPAN_INLINE_FUNCTION constexpr),
mdarray, (const container_type& ctr, const extents_type& exts), ,
/* requires */ (_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type))
) : map_(exts), ctr_(ctr)
{ assert(ctr.size() >= static_cast<size_t>(map_.required_span_size())); }
constexpr mdarray(const container_type& ctr, const mapping_type& m)
: map_(m), ctr_(ctr)
{ assert(ctr.size() >= static_cast<size_t>(map_.required_span_size())); }
// Constructors from container
MDSPAN_TEMPLATE_REQUIRES(
class... SizeTypes,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, SizeTypes, index_type) /* && ... */) &&
_MDSPAN_TRAIT(is_constructible, extents_type, SizeTypes...) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type)
)
)
MDSPAN_INLINE_FUNCTION
explicit constexpr mdarray(container_type&& ctr, SizeTypes... dynamic_extents)
: map_(extents_type(dynamic_extents...)), ctr_(std::move(ctr))
{ assert(ctr_.size() >= static_cast<size_t>(map_.required_span_size())); }
MDSPAN_FUNCTION_REQUIRES(
(MDSPAN_INLINE_FUNCTION constexpr),
mdarray, (container_type&& ctr, const extents_type& exts), ,
/* requires */ (_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type))
) : map_(exts), ctr_(std::move(ctr))
{ assert(ctr_.size() >= static_cast<size_t>(map_.required_span_size())); }
constexpr mdarray(container_type&& ctr, const mapping_type& m)
: map_(m), ctr_(std::move(ctr))
{ assert(ctr_.size() >= static_cast<size_t>(map_.required_span_size())); }
MDSPAN_TEMPLATE_REQUIRES(
class OtherElementType, class OtherExtents, class OtherLayoutPolicy, class OtherContainer,
/* requires */ (
_MDSPAN_TRAIT(is_constructible, mapping_type, typename OtherLayoutPolicy::template mapping<OtherExtents>) &&
_MDSPAN_TRAIT(is_constructible, container_type, OtherContainer)
)
)
MDSPAN_INLINE_FUNCTION
constexpr mdarray(const mdarray<OtherElementType, OtherExtents, OtherLayoutPolicy, OtherContainer>& other)
: map_(other.mapping()), ctr_(other.container())
{
static_assert(is_constructible<extents_type, OtherExtents>::value, "");
}
// Constructors for container types constructible from a size and allocator
MDSPAN_TEMPLATE_REQUIRES(
class Alloc,
/* requires */ (_MDSPAN_TRAIT(is_constructible, container_type, size_t, Alloc) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type))
)
MDSPAN_INLINE_FUNCTION
constexpr mdarray(const extents_type& exts, const Alloc& a)
: map_(exts), ctr_(map_.required_span_size(), a)
{ }
MDSPAN_TEMPLATE_REQUIRES(
class Alloc,
/* requires */ (_MDSPAN_TRAIT(is_constructible, container_type, size_t, Alloc))
)
MDSPAN_INLINE_FUNCTION
constexpr mdarray(const mapping_type& map, const Alloc& a)
: map_(map), ctr_(map_.required_span_size(), a)
{ }
// Constructors for container types constructible from a container and allocator
MDSPAN_TEMPLATE_REQUIRES(
class Alloc,
/* requires */ (_MDSPAN_TRAIT(is_constructible, container_type, container_type, Alloc) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type))
)
MDSPAN_INLINE_FUNCTION
constexpr mdarray(const container_type& ctr, const extents_type& exts, const Alloc& a)
: map_(exts), ctr_(ctr, a)
{ assert(ctr_.size() >= static_cast<size_t>(map_.required_span_size())); }
MDSPAN_TEMPLATE_REQUIRES(
class Alloc,
/* requires */ (_MDSPAN_TRAIT(is_constructible, container_type, size_t, Alloc))
)
MDSPAN_INLINE_FUNCTION
constexpr mdarray(const container_type& ctr, const mapping_type& map, const Alloc& a)
: map_(map), ctr_(ctr, a)
{ assert(ctr_.size() >= static_cast<size_t>(map_.required_span_size())); }
MDSPAN_TEMPLATE_REQUIRES(
class Alloc,
/* requires */ (_MDSPAN_TRAIT(is_constructible, container_type, container_type, Alloc) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type))
)
MDSPAN_INLINE_FUNCTION
constexpr mdarray(container_type&& ctr, const extents_type& exts, const Alloc& a)
: map_(exts), ctr_(std::move(ctr), a)
{ assert(ctr_.size() >= static_cast<size_t>(map_.required_span_size())); }
MDSPAN_TEMPLATE_REQUIRES(
class Alloc,
/* requires */ (_MDSPAN_TRAIT(is_constructible, container_type, size_t, Alloc))
)
MDSPAN_INLINE_FUNCTION
constexpr mdarray(container_type&& ctr, const mapping_type& map, const Alloc& a)
: map_(map), ctr_(std::move(ctr), a)
{ assert(ctr_.size() >= map_.required_span_size()); }
MDSPAN_TEMPLATE_REQUIRES(
class OtherElementType, class OtherExtents, class OtherLayoutPolicy, class OtherContainer, class Alloc,
/* requires */ (
_MDSPAN_TRAIT(is_constructible, mapping_type, typename OtherLayoutPolicy::template mapping<OtherExtents>) &&
_MDSPAN_TRAIT(is_constructible, container_type, OtherContainer, Alloc)
)
)
MDSPAN_INLINE_FUNCTION
constexpr mdarray(const mdarray<OtherElementType, OtherExtents, OtherLayoutPolicy, OtherContainer>& other, const Alloc& a)
: map_(other.mapping()), ctr_(other.container(), a)
{
static_assert(is_constructible<extents_type, OtherExtents>::value, "");
}
MDSPAN_INLINE_FUNCTION_DEFAULTED
~mdarray() = default;
//--------------------------------------------------------------------------------
// [mdspan.basic.mapping], mdspan mapping domain multidimensional index to access codomain element
#if MDSPAN_USE_BRACKET_OPERATOR
MDSPAN_TEMPLATE_REQUIRES(
class... SizeTypes,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, SizeTypes, index_type) /* && ... */) &&
extents_type::rank() == sizeof...(SizeTypes)
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr const_reference operator[](SizeTypes... indices) const noexcept
{
return ctr_[map_(index_type(indices)...)];
}
MDSPAN_TEMPLATE_REQUIRES(
class... SizeTypes,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, SizeTypes, index_type) /* && ... */) &&
extents_type::rank() == sizeof...(SizeTypes)
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator[](SizeTypes... indices) noexcept
{
return ctr_[map_(index_type(indices)...)];
}
#endif
#if 0
MDSPAN_TEMPLATE_REQUIRES(
class SizeType, size_t N,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, SizeType, index_type) &&
N == extents_type::rank()
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr const_reference operator[](const array<SizeType, N>& indices) const noexcept
{
return __impl::template __callop<reference>(*this, indices);
}
MDSPAN_TEMPLATE_REQUIRES(
class SizeType, size_t N,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, SizeType, index_type) &&
N == extents_type::rank()
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator[](const array<SizeType, N>& indices) noexcept
{
return __impl::template __callop<reference>(*this, indices);
}
#endif
#if MDSPAN_USE_PAREN_OPERATOR
MDSPAN_TEMPLATE_REQUIRES(
class... SizeTypes,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, SizeTypes, index_type) /* && ... */) &&
extents_type::rank() == sizeof...(SizeTypes)
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr const_reference operator()(SizeTypes... indices) const noexcept
{
return ctr_[map_(index_type(indices)...)];
}
MDSPAN_TEMPLATE_REQUIRES(
class... SizeTypes,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, SizeTypes, index_type) /* && ... */) &&
extents_type::rank() == sizeof...(SizeTypes)
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator()(SizeTypes... indices) noexcept
{
return ctr_[map_(index_type(indices)...)];
}
#if 0
MDSPAN_TEMPLATE_REQUIRES(
class SizeType, size_t N,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, SizeType, index_type) &&
N == extents_type::rank()
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr const_reference operator()(const array<SizeType, N>& indices) const noexcept
{
return __impl::template __callop<reference>(*this, indices);
}
MDSPAN_TEMPLATE_REQUIRES(
class SizeType, size_t N,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, SizeType, index_type) &&
N == extents_type::rank()
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator()(const array<SizeType, N>& indices) noexcept
{
return __impl::template __callop<reference>(*this, indices);
}
#endif
#endif
MDSPAN_INLINE_FUNCTION constexpr pointer data() noexcept { return ctr_.data(); };
MDSPAN_INLINE_FUNCTION constexpr const_pointer data() const noexcept { return ctr_.data(); };
MDSPAN_INLINE_FUNCTION constexpr container_type& container() noexcept { return ctr_; };
MDSPAN_INLINE_FUNCTION constexpr const container_type& container() const noexcept { return ctr_; };
//--------------------------------------------------------------------------------
// [mdspan.basic.domobs], mdspan observers of the domain multidimensional index space
MDSPAN_INLINE_FUNCTION static constexpr size_t rank() noexcept { return extents_type::rank(); }
MDSPAN_INLINE_FUNCTION static constexpr size_t rank_dynamic() noexcept { return extents_type::rank_dynamic(); }
MDSPAN_INLINE_FUNCTION static constexpr index_type static_extent(size_t r) noexcept { return extents_type::static_extent(r); }
MDSPAN_INLINE_FUNCTION constexpr extents_type extents() const noexcept { return map_.extents(); };
MDSPAN_INLINE_FUNCTION constexpr index_type extent(size_t r) const noexcept { return map_.extents().extent(r); };
MDSPAN_INLINE_FUNCTION constexpr index_type size() const noexcept {
// return __impl::__size(*this);
return ctr_.size();
};
//--------------------------------------------------------------------------------
// [mdspan.basic.obs], mdspan observers of the mapping
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_unique() noexcept { return mapping_type::is_always_unique(); };
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_exhaustive() noexcept { return mapping_type::is_always_exhaustive(); };
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_strided() noexcept { return mapping_type::is_always_strided(); };
MDSPAN_INLINE_FUNCTION constexpr mapping_type mapping() const noexcept { return map_; };
MDSPAN_INLINE_FUNCTION constexpr bool is_unique() const noexcept { return map_.is_unique(); };
MDSPAN_INLINE_FUNCTION constexpr bool is_exhaustive() const noexcept { return map_.is_exhaustive(); };
MDSPAN_INLINE_FUNCTION constexpr bool is_strided() const noexcept { return map_.is_strided(); };
MDSPAN_INLINE_FUNCTION constexpr index_type stride(size_t r) const { return map_.stride(r); };
private:
mapping_type map_;
container_type ctr_;
template <class, class, class, class>
friend class mdarray;
};
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/mdspan.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "default_accessor.hpp"
#include "layout_right.hpp"
#include "extents.hpp"
#include "trait_backports.hpp"
#include "compressed_pair.hpp"
namespace std {
namespace experimental {
template <
class ElementType,
class Extents,
class LayoutPolicy = layout_right,
class AccessorPolicy = default_accessor<ElementType>
>
class mdspan
{
private:
static_assert(detail::__is_extents_v<Extents>, "std::experimental::mdspan's Extents template parameter must be a specialization of std::experimental::extents.");
// Workaround for non-deducibility of the index sequence template parameter if it's given at the top level
template <class>
struct __deduction_workaround;
template <size_t... Idxs>
struct __deduction_workaround<index_sequence<Idxs...>>
{
MDSPAN_FORCE_INLINE_FUNCTION static constexpr
size_t __size(mdspan const& __self) noexcept {
return _MDSPAN_FOLD_TIMES_RIGHT((__self.__mapping_ref().extents().template __extent<Idxs>()), /* * ... * */ 1);
}
template <class ReferenceType, class SizeType, size_t N>
MDSPAN_FORCE_INLINE_FUNCTION static constexpr
ReferenceType __callop(mdspan const& __self, const array<SizeType, N>& indices) noexcept {
return __self.__accessor_ref().access(__self.__ptr_ref(), __self.__mapping_ref()(indices[Idxs]...));
}
};
public:
//--------------------------------------------------------------------------------
// Domain and codomain types
using extents_type = Extents;
using layout_type = LayoutPolicy;
using accessor_type = AccessorPolicy;
using mapping_type = typename layout_type::template mapping<extents_type>;
using element_type = ElementType;
using value_type = remove_cv_t<element_type>;
using index_type = typename extents_type::index_type;
using size_type = typename extents_type::size_type;
using rank_type = typename extents_type::rank_type;
using data_handle_type = typename accessor_type::data_handle_type;
using reference = typename accessor_type::reference;
MDSPAN_INLINE_FUNCTION static constexpr size_t rank() noexcept { return extents_type::rank(); }
MDSPAN_INLINE_FUNCTION static constexpr size_t rank_dynamic() noexcept { return extents_type::rank_dynamic(); }
MDSPAN_INLINE_FUNCTION static constexpr size_t static_extent(size_t r) noexcept { return extents_type::static_extent(r); }
MDSPAN_INLINE_FUNCTION constexpr index_type extent(size_t r) const noexcept { return __mapping_ref().extents().extent(r); };
private:
// Can't use defaulted parameter in the __deduction_workaround template because of a bug in MSVC warning C4348.
using __impl = __deduction_workaround<make_index_sequence<extents_type::rank()>>;
using __map_acc_pair_t = detail::__compressed_pair<mapping_type, accessor_type>;
public:
//--------------------------------------------------------------------------------
// [mdspan.basic.cons], mdspan constructors, assignment, and destructor
#if !MDSPAN_HAS_CXX_20
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mdspan() = default;
#else
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mdspan()
requires(
(rank_dynamic() > 0) &&
_MDSPAN_TRAIT(is_default_constructible, data_handle_type) &&
_MDSPAN_TRAIT(is_default_constructible, mapping_type) &&
_MDSPAN_TRAIT(is_default_constructible, accessor_type)
) = default;
#endif
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mdspan(const mdspan&) = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mdspan(mdspan&&) = default;
MDSPAN_TEMPLATE_REQUIRES(
class... SizeTypes,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, SizeTypes, index_type) /* && ... */) &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_nothrow_constructible, index_type, SizeTypes) /* && ... */) &&
((sizeof...(SizeTypes) == rank()) || (sizeof...(SizeTypes) == rank_dynamic())) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type) &&
_MDSPAN_TRAIT(is_default_constructible, accessor_type)
)
)
MDSPAN_INLINE_FUNCTION
explicit constexpr mdspan(data_handle_type p, SizeTypes... dynamic_extents)
// TODO @proposal-bug shouldn't I be allowed to do `move(p)` here?
: __members(std::move(p), __map_acc_pair_t(mapping_type(extents_type(static_cast<index_type>(std::move(dynamic_extents))...)), accessor_type()))
{ }
MDSPAN_TEMPLATE_REQUIRES(
class SizeType, size_t N,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, SizeType, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, SizeType) &&
((N == rank()) || (N == rank_dynamic())) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type) &&
_MDSPAN_TRAIT(is_default_constructible, accessor_type)
)
)
MDSPAN_CONDITIONAL_EXPLICIT(N != rank_dynamic())
MDSPAN_INLINE_FUNCTION
constexpr mdspan(data_handle_type p, const array<SizeType, N>& dynamic_extents)
: __members(std::move(p), __map_acc_pair_t(mapping_type(extents_type(dynamic_extents)), accessor_type()))
{ }
#ifdef __cpp_lib_span
MDSPAN_TEMPLATE_REQUIRES(
class SizeType, size_t N,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, SizeType, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, SizeType) &&
((N == rank()) || (N == rank_dynamic())) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type) &&
_MDSPAN_TRAIT(is_default_constructible, accessor_type)
)
)
MDSPAN_CONDITIONAL_EXPLICIT(N != rank_dynamic())
MDSPAN_INLINE_FUNCTION
constexpr mdspan(data_handle_type p, span<SizeType, N> dynamic_extents)
: __members(std::move(p), __map_acc_pair_t(mapping_type(extents_type(as_const(dynamic_extents))), accessor_type()))
{ }
#endif
MDSPAN_FUNCTION_REQUIRES(
(MDSPAN_INLINE_FUNCTION constexpr),
mdspan, (data_handle_type p, const extents_type& exts), ,
/* requires */ (_MDSPAN_TRAIT(is_default_constructible, accessor_type) &&
_MDSPAN_TRAIT(is_constructible, mapping_type, extents_type))
) : __members(std::move(p), __map_acc_pair_t(mapping_type(exts), accessor_type()))
{ }
MDSPAN_FUNCTION_REQUIRES(
(MDSPAN_INLINE_FUNCTION constexpr),
mdspan, (data_handle_type p, const mapping_type& m), ,
/* requires */ (_MDSPAN_TRAIT(is_default_constructible, accessor_type))
) : __members(std::move(p), __map_acc_pair_t(m, accessor_type()))
{ }
MDSPAN_INLINE_FUNCTION
constexpr mdspan(data_handle_type p, const mapping_type& m, const accessor_type& a)
: __members(std::move(p), __map_acc_pair_t(m, a))
{ }
MDSPAN_TEMPLATE_REQUIRES(
class OtherElementType, class OtherExtents, class OtherLayoutPolicy, class OtherAccessor,
/* requires */ (
_MDSPAN_TRAIT(is_constructible, mapping_type, typename OtherLayoutPolicy::template mapping<OtherExtents>) &&
_MDSPAN_TRAIT(is_constructible, accessor_type, OtherAccessor)
)
)
MDSPAN_INLINE_FUNCTION
constexpr mdspan(const mdspan<OtherElementType, OtherExtents, OtherLayoutPolicy, OtherAccessor>& other)
: __members(other.__ptr_ref(), __map_acc_pair_t(other.__mapping_ref(), other.__accessor_ref()))
{
static_assert(_MDSPAN_TRAIT(is_constructible, data_handle_type, typename OtherAccessor::data_handle_type),"Incompatible data_handle_type for mdspan construction");
static_assert(_MDSPAN_TRAIT(is_constructible, extents_type, OtherExtents),"Incompatible extents for mdspan construction");
/*
* TODO: Check precondition
* For each rank index r of extents_type, static_extent(r) == dynamic_extent || static_extent(r) == other.extent(r) is true.
*/
}
/* Might need this on NVIDIA?
MDSPAN_INLINE_FUNCTION_DEFAULTED
~mdspan() = default;
*/
MDSPAN_INLINE_FUNCTION_DEFAULTED _MDSPAN_CONSTEXPR_14_DEFAULTED mdspan& operator=(const mdspan&) = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED _MDSPAN_CONSTEXPR_14_DEFAULTED mdspan& operator=(mdspan&&) = default;
//--------------------------------------------------------------------------------
// [mdspan.basic.mapping], mdspan mapping domain multidimensional index to access codomain element
#if MDSPAN_USE_BRACKET_OPERATOR
MDSPAN_TEMPLATE_REQUIRES(
class... SizeTypes,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, SizeTypes, index_type) /* && ... */) &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_nothrow_constructible, index_type, SizeTypes) /* && ... */) &&
(rank() == sizeof...(SizeTypes))
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator[](SizeTypes... indices) const
{
return __accessor_ref().access(__ptr_ref(), __mapping_ref()(index_type(indices)...));
}
#endif
MDSPAN_TEMPLATE_REQUIRES(
class SizeType,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, SizeType, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, SizeType)
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator[](const array<SizeType, rank()>& indices) const
{
return __impl::template __callop<reference>(*this, indices);
}
#ifdef __cpp_lib_span
MDSPAN_TEMPLATE_REQUIRES(
class SizeType,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, SizeType, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, SizeType)
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator[](span<SizeType, rank()> indices) const
{
return __impl::template __callop<reference>(*this, indices);
}
#endif // __cpp_lib_span
#if !MDSPAN_USE_BRACKET_OPERATOR
MDSPAN_TEMPLATE_REQUIRES(
class Index,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, Index, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, Index) &&
extents_type::rank() == 1
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator[](Index idx) const
{
return __accessor_ref().access(__ptr_ref(), __mapping_ref()(index_type(idx)));
}
#endif
#if MDSPAN_USE_PAREN_OPERATOR
MDSPAN_TEMPLATE_REQUIRES(
class... SizeTypes,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, SizeTypes, index_type) /* && ... */) &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_nothrow_constructible, index_type, SizeTypes) /* && ... */) &&
rank() == sizeof...(SizeTypes)
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator()(SizeTypes... indices) const
{
return __accessor_ref().access(__ptr_ref(), __mapping_ref()(indices...));
}
MDSPAN_TEMPLATE_REQUIRES(
class SizeType,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, SizeType, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, SizeType)
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator()(const array<SizeType, rank()>& indices) const
{
return __impl::template __callop<reference>(*this, indices);
}
#ifdef __cpp_lib_span
MDSPAN_TEMPLATE_REQUIRES(
class SizeType,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, SizeType, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, SizeType)
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference operator()(span<SizeType, rank()> indices) const
{
return __impl::template __callop<reference>(*this, indices);
}
#endif // __cpp_lib_span
#endif // MDSPAN_USE_PAREN_OPERATOR
MDSPAN_INLINE_FUNCTION constexpr size_type size() const noexcept {
return static_cast<size_type>(__impl::__size(*this));
};
//--------------------------------------------------------------------------------
// [mdspan.basic.domobs], mdspan observers of the domain multidimensional index space
MDSPAN_INLINE_FUNCTION constexpr const extents_type& extents() const noexcept { return __mapping_ref().extents(); };
MDSPAN_INLINE_FUNCTION constexpr const data_handle_type& data_handle() const noexcept { return __ptr_ref(); };
MDSPAN_INLINE_FUNCTION constexpr const mapping_type& mapping() const noexcept { return __mapping_ref(); };
MDSPAN_INLINE_FUNCTION constexpr const accessor_type& accessor() const noexcept { return __accessor_ref(); };
//--------------------------------------------------------------------------------
// [mdspan.basic.obs], mdspan observers of the mapping
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_unique() noexcept { return mapping_type::is_always_unique(); };
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_exhaustive() noexcept { return mapping_type::is_always_exhaustive(); };
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_strided() noexcept { return mapping_type::is_always_strided(); };
MDSPAN_INLINE_FUNCTION constexpr bool is_unique() const noexcept { return __mapping_ref().is_unique(); };
MDSPAN_INLINE_FUNCTION constexpr bool is_exhaustive() const noexcept { return __mapping_ref().is_exhaustive(); };
MDSPAN_INLINE_FUNCTION constexpr bool is_strided() const noexcept { return __mapping_ref().is_strided(); };
MDSPAN_INLINE_FUNCTION constexpr index_type stride(size_t r) const { return __mapping_ref().stride(r); };
private:
detail::__compressed_pair<data_handle_type, __map_acc_pair_t> __members{};
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 data_handle_type& __ptr_ref() noexcept { return __members.__first(); }
MDSPAN_FORCE_INLINE_FUNCTION constexpr data_handle_type const& __ptr_ref() const noexcept { return __members.__first(); }
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 mapping_type& __mapping_ref() noexcept { return __members.__second().__first(); }
MDSPAN_FORCE_INLINE_FUNCTION constexpr mapping_type const& __mapping_ref() const noexcept { return __members.__second().__first(); }
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 accessor_type& __accessor_ref() noexcept { return __members.__second().__second(); }
MDSPAN_FORCE_INLINE_FUNCTION constexpr accessor_type const& __accessor_ref() const noexcept { return __members.__second().__second(); }
template <class, class, class, class>
friend class mdspan;
};
#if defined(_MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION)
MDSPAN_TEMPLATE_REQUIRES(
class ElementType, class... SizeTypes,
/* requires */ _MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_integral, SizeTypes) /* && ... */) &&
(sizeof...(SizeTypes) > 0)
)
explicit mdspan(ElementType*, SizeTypes...)
-> mdspan<ElementType, ::std::experimental::dextents<size_t, sizeof...(SizeTypes)>>;
MDSPAN_TEMPLATE_REQUIRES(
class Pointer,
(_MDSPAN_TRAIT(is_pointer, std::remove_reference_t<Pointer>))
)
mdspan(Pointer&&) -> mdspan<std::remove_pointer_t<std::remove_reference_t<Pointer>>, extents<size_t>>;
MDSPAN_TEMPLATE_REQUIRES(
class CArray,
(_MDSPAN_TRAIT(is_array, CArray) && (rank_v<CArray> == 1))
)
mdspan(CArray&) -> mdspan<std::remove_all_extents_t<CArray>, extents<size_t, ::std::extent_v<CArray,0>>>;
template <class ElementType, class SizeType, size_t N>
mdspan(ElementType*, const ::std::array<SizeType, N>&)
-> mdspan<ElementType, ::std::experimental::dextents<size_t, N>>;
#ifdef __cpp_lib_span
template <class ElementType, class SizeType, size_t N>
mdspan(ElementType*, ::std::span<SizeType, N>)
-> mdspan<ElementType, ::std::experimental::dextents<size_t, N>>;
#endif
// This one is necessary because all the constructors take `data_handle_type`s, not
// `ElementType*`s, and `data_handle_type` is taken from `accessor_type::data_handle_type`, which
// seems to throw off automatic deduction guides.
template <class ElementType, class SizeType, size_t... ExtentsPack>
mdspan(ElementType*, const extents<SizeType, ExtentsPack...>&)
-> mdspan<ElementType, ::std::experimental::extents<SizeType, ExtentsPack...>>;
template <class ElementType, class MappingType>
mdspan(ElementType*, const MappingType&)
-> mdspan<ElementType, typename MappingType::extents_type, typename MappingType::layout_type>;
template <class MappingType, class AccessorType>
mdspan(const typename AccessorType::data_handle_type, const MappingType&, const AccessorType&)
-> mdspan<typename AccessorType::element_type, typename MappingType::extents_type, typename MappingType::layout_type, AccessorType>;
#endif
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/layout_right.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
#include "trait_backports.hpp"
#include "extents.hpp"
#include <stdexcept>
#include "layout_stride.hpp"
namespace std {
namespace experimental {
//==============================================================================
template <class Extents>
class layout_right::mapping {
public:
using extents_type = Extents;
using index_type = typename extents_type::index_type;
using size_type = typename extents_type::size_type;
using rank_type = typename extents_type::rank_type;
using layout_type = layout_right;
private:
static_assert(detail::__is_extents_v<extents_type>, "std::experimental::layout_right::mapping must be instantiated with a specialization of std::experimental::extents.");
template <class>
friend class mapping;
// i0+(i1 + E(1)*(i2 + E(2)*i3))
template <size_t r, size_t Rank>
struct __rank_count {};
template <size_t r, size_t Rank, class I, class... Indices>
constexpr index_type __compute_offset(
index_type offset, __rank_count<r,Rank>, const I& i, Indices... idx) const {
return __compute_offset(offset * __extents.template __extent<r>() + i,__rank_count<r+1,Rank>(), idx...);
}
template<class I, class ... Indices>
constexpr index_type __compute_offset(
__rank_count<0,extents_type::rank()>, const I& i, Indices... idx) const {
return __compute_offset(i,__rank_count<1,extents_type::rank()>(),idx...);
}
constexpr index_type __compute_offset(size_t offset, __rank_count<extents_type::rank(), extents_type::rank()>) const {
return static_cast<index_type>(offset);
}
constexpr index_type __compute_offset(__rank_count<0,0>) const { return 0; }
public:
//--------------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mapping() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mapping(mapping const&) noexcept = default;
constexpr mapping(extents_type const& __exts) noexcept
:__extents(__exts)
{ }
MDSPAN_TEMPLATE_REQUIRES(
class OtherExtents,
/* requires */ (
_MDSPAN_TRAIT(is_constructible, extents_type, OtherExtents)
)
)
MDSPAN_CONDITIONAL_EXPLICIT((!is_convertible<OtherExtents, extents_type>::value)) // needs two () due to comma
MDSPAN_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
mapping(mapping<OtherExtents> const& other) noexcept // NOLINT(google-explicit-constructor)
:__extents(other.extents())
{
/*
* TODO: check precondition
* other.required_span_size() is a representable value of type index_type
*/
}
MDSPAN_TEMPLATE_REQUIRES(
class OtherExtents,
/* requires */ (
_MDSPAN_TRAIT(is_constructible, extents_type, OtherExtents) &&
(extents_type::rank() <= 1)
)
)
MDSPAN_CONDITIONAL_EXPLICIT((!is_convertible<OtherExtents, extents_type>::value)) // needs two () due to comma
MDSPAN_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
mapping(layout_left::mapping<OtherExtents> const& other) noexcept // NOLINT(google-explicit-constructor)
:__extents(other.extents())
{
/*
* TODO: check precondition
* other.required_span_size() is a representable value of type index_type
*/
}
MDSPAN_TEMPLATE_REQUIRES(
class OtherExtents,
/* requires */ (
_MDSPAN_TRAIT(is_constructible, extents_type, OtherExtents)
)
)
MDSPAN_CONDITIONAL_EXPLICIT((extents_type::rank() > 0))
MDSPAN_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
mapping(layout_stride::mapping<OtherExtents> const& other) // NOLINT(google-explicit-constructor)
:__extents(other.extents())
{
/*
* TODO: check precondition
* other.required_span_size() is a representable value of type index_type
*/
#ifndef __CUDA_ARCH__
size_t stride = 1;
for(rank_type r=__extents.rank(); r>0; r--) {
if(stride != other.stride(r-1))
throw std::runtime_error("Assigning layout_stride to layout_right with invalid strides.");
stride *= __extents.extent(r-1);
}
#endif
}
MDSPAN_INLINE_FUNCTION_DEFAULTED _MDSPAN_CONSTEXPR_14_DEFAULTED mapping& operator=(mapping const&) noexcept = default;
MDSPAN_INLINE_FUNCTION
constexpr const extents_type& extents() const noexcept {
return __extents;
}
MDSPAN_INLINE_FUNCTION
constexpr index_type required_span_size() const noexcept {
index_type value = 1;
for(rank_type r=0; r != extents_type::rank(); ++r) value*=__extents.extent(r);
return value;
}
//--------------------------------------------------------------------------------
MDSPAN_TEMPLATE_REQUIRES(
class... Indices,
/* requires */ (
(sizeof...(Indices) == extents_type::rank()) &&
_MDSPAN_FOLD_AND(
(_MDSPAN_TRAIT(is_convertible, Indices, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, Indices))
)
)
)
constexpr index_type operator()(Indices... idxs) const noexcept {
return __compute_offset(__rank_count<0, extents_type::rank()>(), idxs...);
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_unique() noexcept { return true; }
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_exhaustive() noexcept { return true; }
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_strided() noexcept { return true; }
MDSPAN_INLINE_FUNCTION constexpr bool is_unique() const noexcept { return true; }
MDSPAN_INLINE_FUNCTION constexpr bool is_exhaustive() const noexcept { return true; }
MDSPAN_INLINE_FUNCTION constexpr bool is_strided() const noexcept { return true; }
MDSPAN_INLINE_FUNCTION
constexpr index_type stride(rank_type i) const noexcept {
index_type value = 1;
for(rank_type r=extents_type::rank()-1; r>i; r--) value*=__extents.extent(r);
return value;
}
template<class OtherExtents>
MDSPAN_INLINE_FUNCTION
friend constexpr bool operator==(mapping const& lhs, mapping<OtherExtents> const& rhs) noexcept {
return lhs.extents() == rhs.extents();
}
// In C++ 20 the not equal exists if equal is found
#if MDSPAN_HAS_CXX_20
template<class OtherExtents>
MDSPAN_INLINE_FUNCTION
friend constexpr bool operator!=(mapping const& lhs, mapping<OtherExtents> const& rhs) noexcept {
return lhs.extents() != rhs.extents();
}
#endif
// Not really public, but currently needed to implement fully constexpr usable submdspan:
template<size_t N, class SizeType, size_t ... E, size_t ... Idx>
constexpr index_type __get_stride(std::experimental::extents<SizeType, E...>,integer_sequence<size_t, Idx...>) const {
return _MDSPAN_FOLD_TIMES_RIGHT((Idx>N? __extents.template __extent<Idx>():1),1);
}
template<size_t N>
constexpr index_type __stride() const noexcept {
return __get_stride<N>(__extents, make_index_sequence<extents_type::rank()>());
}
private:
_MDSPAN_NO_UNIQUE_ADDRESS extents_type __extents{};
};
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/full_extent_t.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
namespace std {
namespace experimental {
struct full_extent_t { explicit full_extent_t() = default; };
_MDSPAN_INLINE_VARIABLE constexpr auto full_extent = full_extent_t{ };
} // end namespace experimental
} // namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/no_unique_address.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
#include "trait_backports.hpp"
namespace std {
namespace experimental {
namespace detail {
//==============================================================================
template <class _T, size_t _Disambiguator = 0, class _Enable = void>
struct __no_unique_address_emulation {
using __stored_type = _T;
_T __v;
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T const &__ref() const noexcept {
return __v;
}
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _T &__ref() noexcept {
return __v;
}
};
// Empty case
// This doesn't work if _T is final, of course, but we're not using anything
// like that currently. That kind of thing could be added pretty easily though
template <class _T, size_t _Disambiguator>
struct __no_unique_address_emulation<
_T, _Disambiguator,
enable_if_t<_MDSPAN_TRAIT(is_empty, _T) &&
// If the type isn't trivially destructible, its destructor
// won't be called at the right time, so don't use this
// specialization
_MDSPAN_TRAIT(is_trivially_destructible, _T)>> :
#ifdef _MDSPAN_COMPILER_MSVC
// MSVC doesn't allow you to access public static member functions of a type
// when you *happen* to privately inherit from that type.
protected
#else
// But we still want this to be private if possible so that we don't accidentally
// access members of _T directly rather than calling __ref() first, which wouldn't
// work if _T happens to be stateful and thus we're using the unspecialized definition
// of __no_unique_address_emulation above.
private
#endif
_T {
using __stored_type = _T;
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T const &__ref() const noexcept {
return *static_cast<_T const *>(this);
}
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _T &__ref() noexcept {
return *static_cast<_T *>(this);
}
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __no_unique_address_emulation() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __no_unique_address_emulation(
__no_unique_address_emulation const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __no_unique_address_emulation(
__no_unique_address_emulation &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __no_unique_address_emulation &
operator=(__no_unique_address_emulation const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __no_unique_address_emulation &
operator=(__no_unique_address_emulation &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__no_unique_address_emulation() noexcept = default;
// Explicitly make this not a reference so that the copy or move
// constructor still gets called.
MDSPAN_INLINE_FUNCTION
explicit constexpr __no_unique_address_emulation(_T const& __v) noexcept : _T(__v) {}
MDSPAN_INLINE_FUNCTION
explicit constexpr __no_unique_address_emulation(_T&& __v) noexcept : _T(::std::move(__v)) {}
};
//==============================================================================
} // end namespace detail
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/layout_padded.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
// NOTE: This code is prematurely taken from https://github.com/kokkos/mdspan/pull/180
// and matches requirements described in https://github.com/ORNL/cpp-proposals-pub/pull/296
// Some parts (as submdspan integration) are missing
// EDIT: the meaning of the template argument 'padding_stride' was adjusted from a
// fixed stride to a padding alignment, allowing dimensions > padding_stride to be padded
// to multiples of 'padding_stride'
#pragma once
#include "macros.hpp"
#include "trait_backports.hpp"
#include "extents.hpp"
#include "layout_left.hpp"
#include "layout_right.hpp"
#include <cassert>
#include <iostream>
#include <type_traits>
namespace std {
namespace experimental {
namespace stdex = std::experimental;
namespace details {
// offset_index_sequence idea comes from "offset_sequence" here:
// https://devblogs.microsoft.com/oldnewthing/20200625-00/?p=103903
//
// offset_index_sequence adds N to each element of the given IndexSequence.
// We can't just template on the parameter pack of indices directly;
// the pack needs to be contained in some type.
// We choose index_sequence because it stores no run-time data.
template<std::size_t N, class IndexSequence> struct offset_index_sequence;
template<std::size_t N, std::size_t... Indices>
struct offset_index_sequence<N, std::index_sequence<Indices...>>
{
using type = std::index_sequence<(Indices + N)...>;
};
template<std::size_t N, typename IndexSequence>
using offset_index_sequence_t = typename offset_index_sequence<N, IndexSequence>::type;
static_assert(std::is_same<
offset_index_sequence_t<3, std::make_index_sequence<4>>,
std::index_sequence<3, 4, 5, 6>>::value,
"offset_index_sequence defined incorrectly." );
// iota_index_sequence defines the half-open sequence
// begin, begin+1, begin+2, ..., end-1.
// If end == begin, then the sequence is empty (we permit this).
//
// Defining the struct first, rather than going straight to the type alias,
// lets us check the template arguments.
template<std::size_t begin, std::size_t end>
struct iota_index_sequence {
static_assert(end >= begin, "end must be >= begin.");
using type =
offset_index_sequence_t< begin, std::make_index_sequence<end - begin> >;
};
// iota_index_sequence_t is like make_index_sequence,
// except that it starts with begin instead of 0.
template<std::size_t begin, std::size_t end>
using iota_index_sequence_t = typename iota_index_sequence<begin, end>::type;
static_assert(std::is_same<
iota_index_sequence_t<3, 6>,
std::index_sequence<3, 4, 5>>::value,
"iota_index_sequence defined incorrectly." );
static_assert(std::is_same<
iota_index_sequence_t<3, 3>,
std::index_sequence<>>::value,
"iota_index_sequence defined incorrectly." );
static_assert(std::is_same<
iota_index_sequence_t<3, 4>,
std::index_sequence<3>>::value,
"iota_index_sequence defined incorrectly." );
template <typename IndexType>
constexpr IndexType ceildiv(IndexType a, IndexType b)
{
return (a + b - 1) / b;
}
template <typename IndexType>
constexpr IndexType alignTo(IndexType a, IndexType b)
{
return ceildiv(a, b) * b;
}
} // namespace details
// layout_padded_left implementation
namespace details {
// The *_helper functions work around not having C++20
// templated lambdas: []<size_t... TrailingIndices>{} .
// The third argument should always be
// iota_index_sequence_t<1, ReturnExtents::rank()>.
template<class ReturnExtents,
std::size_t UnpaddedExtent,
class InnerExtents,
std::size_t... TrailingIndices>
MDSPAN_INLINE_FUNCTION constexpr ReturnExtents
layout_left_extents_helper(const stdex::extents<typename InnerExtents::index_type, UnpaddedExtent>& unpadded_extent,
const InnerExtents& inner_extents,
std::index_sequence<TrailingIndices...>)
{
static_assert(sizeof...(TrailingIndices) + 1 == ReturnExtents::rank(),
"sizeof...(TrailingIndices) + 1 != ReturnExtents::rank()");
static_assert(InnerExtents::rank() == ReturnExtents::rank(),
"InnerExtents::rank() != ReturnExtents::rank()");
using index_type = typename ReturnExtents::index_type;
return ReturnExtents{
unpadded_extent.extent(0),
index_type(inner_extents.extent(TrailingIndices))...
};
}
// The third argument should always be
// iota_index_sequence_t<0, ReturnExtents::rank() - 1>.
template<class ReturnExtents,
std::size_t UnpaddedExtent,
class InnerExtents,
std::size_t... LeadingIndices>
MDSPAN_INLINE_FUNCTION constexpr ReturnExtents
layout_right_extents_helper(const InnerExtents& inner_extents,
const stdex::extents<typename InnerExtents::index_type, UnpaddedExtent>& unpadded_extent,
std::index_sequence<LeadingIndices...>)
{
static_assert(sizeof...(LeadingIndices) + 1 == ReturnExtents::rank(),
"sizeof...(LeadingIndices) + 1 != ReturnExtents::rank()");
static_assert(InnerExtents::rank() == ReturnExtents::rank(),
"InnerExtents::rank() != ReturnExtents::rank()");
using index_type = typename ReturnExtents::index_type;
return ReturnExtents{
index_type(inner_extents.extent(LeadingIndices))...,
unpadded_extent.extent(0)
};
}
template<class ReturnExtents,
std::size_t UnpaddedExtent,
class IndexType,
std::size_t... InnerExtents>
MDSPAN_INLINE_FUNCTION constexpr ReturnExtents
layout_left_extents(const stdex::extents<IndexType, UnpaddedExtent>& unpadded_extent,
const stdex::extents<IndexType, InnerExtents...>& inner_extents)
{
return layout_left_extents_helper<ReturnExtents>(
unpadded_extent,
inner_extents,
details::iota_index_sequence_t<1, ReturnExtents::rank()>{}
);
}
// Rank-0 unpadded_extent means rank-0 input,
// but the latter turns out not to matter here.
template<class ReturnExtents,
class IndexType,
std::size_t... InnerExtents>
MDSPAN_INLINE_FUNCTION constexpr ReturnExtents
layout_left_extents(const stdex::extents<IndexType>& /* unpadded_extent */ ,
const stdex::extents<IndexType, InnerExtents...>& inner_extents)
{
return inner_extents;
}
template<class ReturnExtents,
std::size_t UnpaddedExtent,
class IndexType,
std::size_t... InnerExtents>
MDSPAN_INLINE_FUNCTION constexpr ReturnExtents
layout_right_extents(const stdex::extents<IndexType, InnerExtents...>& inner_extents,
const stdex::extents<IndexType, UnpaddedExtent>& unpadded_extent)
{
// If rank() is zero, size_t(-1) would be a very large upper bound.
static_assert(ReturnExtents::rank() != 0,
"ReturnExtents::rank() must not be 0");
return layout_right_extents_helper<ReturnExtents>(
inner_extents,
unpadded_extent,
details::iota_index_sequence_t<0, ReturnExtents::rank() - 1>{}
);
}
// Rank-0 unpadded_extent means rank-0 input,
// but the latter turns out not to matter here.
template<class ReturnExtents,
class IndexType,
std::size_t... InnerExtents>
MDSPAN_INLINE_FUNCTION constexpr ReturnExtents
layout_right_extents(const stdex::extents<IndexType, InnerExtents...>& inner_extents,
const stdex::extents<IndexType>& /* unpadded_extent */ )
{
return inner_extents;
}
template<
class InputExtentsType,
std::size_t PaddingExtent,
std::size_t ... Indices
>
MDSPAN_INLINE_FUNCTION constexpr auto
pad_extents_left_helper(const InputExtentsType& input,
const stdex::extents<typename InputExtentsType::index_type, PaddingExtent>& padding,
std::index_sequence<Indices...>)
{
// NOTE (mfh 2022/09/04) This can be if constexpr,
// if the compiler supports it.
if /* constexpr */ (PaddingExtent == stdex::dynamic_extent) {
assert(padding.extent(0) != stdex::dynamic_extent);
}
using input_type = std::remove_cv_t<std::remove_reference_t<InputExtentsType>>;
using index_type = typename input_type::index_type;
constexpr std::size_t rank = input_type::rank();
static_assert(sizeof...(Indices) == std::size_t(rank - 1),
"Indices pack has the wrong size.");
using return_type = stdex::extents<
index_type,
stdex::dynamic_extent,
input_type::static_extent(Indices)...
>;
return return_type{
index_type(details::alignTo(input.extent(0), padding.extent(0))),
input.extent(Indices)...
};
}
template<
class InputExtentsType,
std::size_t PaddingExtent,
std::size_t ... Indices
>
MDSPAN_INLINE_FUNCTION constexpr auto
pad_extents_right_helper(const InputExtentsType& input,
const stdex::extents<typename InputExtentsType::index_type, PaddingExtent>& padding,
std::index_sequence<Indices...>)
{
// NOTE (mfh 2022/09/04) This can be if constexpr,
// if the compiler supports it.
if /* constexpr */ (PaddingExtent == stdex::dynamic_extent) {
assert(padding.extent(0) != stdex::dynamic_extent);
}
using input_type = std::remove_cv_t<std::remove_reference_t<InputExtentsType>>;
using index_type = typename input_type::index_type;
constexpr std::size_t rank = input_type::rank();
static_assert(sizeof...(Indices) == std::size_t(rank - 1),
"Indices pack has the wrong size.");
using return_type = stdex::extents<
index_type,
input_type::static_extent(Indices)...,
stdex::dynamic_extent
>;
return return_type{
input.extent(Indices)...,
index_type(details::alignTo(input.extent(rank - 1), padding.extent(0)))
};
}
// Rank-0 and rank-1 mdspan don't need extra padding from their layout.
// They rely on an "aligned_accessor" and on the data_handle's alignment.
MDSPAN_TEMPLATE_REQUIRES(
class IndexType,
std::size_t PaddingExtent,
std::size_t ... InputExtents,
/* requires */ (sizeof...(InputExtents) <= std::size_t(1))
)
MDSPAN_INLINE_FUNCTION constexpr auto
pad_extents_left(const stdex::extents<IndexType, InputExtents...>& input,
const stdex::extents<IndexType, PaddingExtent> /* padding */ )
{
return input;
}
MDSPAN_TEMPLATE_REQUIRES(
class IndexType,
std::size_t PaddingExtent,
std::size_t ... InputExtents,
/* requires */ (sizeof...(InputExtents) <= std::size_t(1))
)
MDSPAN_INLINE_FUNCTION constexpr auto
pad_extents_right(const stdex::extents<IndexType, InputExtents...>& input,
const stdex::extents<IndexType, PaddingExtent> /* padding */ )
{
return input;
}
// rank > 1 case follows.
MDSPAN_TEMPLATE_REQUIRES(
class IndexType,
std::size_t PaddingExtent,
std::size_t ... InputExtents,
/* requires */ (sizeof...(InputExtents) > std::size_t(1))
)
MDSPAN_INLINE_FUNCTION constexpr auto
pad_extents_left(const stdex::extents<IndexType, InputExtents...>& input,
const stdex::extents<IndexType, PaddingExtent> padding)
{
constexpr std::size_t rank = sizeof...(InputExtents);
return details::pad_extents_left_helper
(input, padding, details::iota_index_sequence_t<1, rank>{});
}
MDSPAN_TEMPLATE_REQUIRES(
class IndexType,
std::size_t PaddingExtent,
std::size_t ... InputExtents,
/* requires */ (sizeof...(InputExtents) > std::size_t(1))
)
MDSPAN_INLINE_FUNCTION constexpr auto
pad_extents_right(const stdex::extents<IndexType, InputExtents...>& input,
const stdex::extents<IndexType, PaddingExtent> padding)
{
constexpr std::size_t rank = sizeof...(InputExtents);
return details::pad_extents_right_helper
(input, padding, details::iota_index_sequence_t<0, rank - 1>{});
}
MDSPAN_TEMPLATE_REQUIRES(
class IndexType,
std::size_t ... InputExtents,
/* requires */ (sizeof...(InputExtents) != std::size_t(0))
)
MDSPAN_INLINE_FUNCTION constexpr auto
unpadded_extent_left(const stdex::extents<IndexType, InputExtents...>& input)
{
using input_type = stdex::extents<IndexType, InputExtents...>;
return stdex::extents<IndexType, input_type::static_extent(0)>{input.extent(0)};
}
MDSPAN_TEMPLATE_REQUIRES(
class IndexType,
std::size_t ... InputExtents,
/* requires */ (sizeof...(InputExtents) != std::size_t(0))
)
MDSPAN_INLINE_FUNCTION constexpr auto
unpadded_extent_right(const stdex::extents<IndexType, InputExtents...>& input)
{
using input_type = stdex::extents<IndexType, InputExtents...>;
const auto rank = input_type::rank();
return stdex::extents<IndexType, input_type::static_extent(rank - 1)>{input.extent(rank - 1)};
}
template<class IndexType>
MDSPAN_INLINE_FUNCTION constexpr auto
unpadded_extent_left(const stdex::extents<IndexType>& /* input */ )
{
return stdex::extents<IndexType>{};
}
template<class IndexType>
MDSPAN_INLINE_FUNCTION constexpr auto
unpadded_extent_right(const stdex::extents<IndexType>& /* input */ )
{
return stdex::extents<IndexType>{};
}
// Helper functions to work around C++14's lack of "if constexpr."
template<class PaddingExtentsType,
class InnerMappingType,
std::size_t Rank>
MDSPAN_INLINE_FUNCTION constexpr PaddingExtentsType
left_padding_extents(const InnerMappingType& inner_mapping,
std::integral_constant<std::size_t, Rank> /* rank */ )
{
return PaddingExtentsType{inner_mapping.extent(0)};
}
template<class PaddingExtentsType,
class InnerMappingType>
MDSPAN_INLINE_FUNCTION constexpr PaddingExtentsType
left_padding_extents(const InnerMappingType& /* inner_mapping */ ,
std::integral_constant<std::size_t, 0> /* rank */ )
{
return PaddingExtentsType{};
}
template<class PaddingExtentsType,
class InnerMappingType,
std::size_t Rank>
MDSPAN_INLINE_FUNCTION constexpr PaddingExtentsType
right_padding_extents(const InnerMappingType& inner_mapping,
std::integral_constant<std::size_t, Rank> /* rank */ )
{
return PaddingExtentsType{inner_mapping.extent(Rank - 1)};
}
template<class PaddingExtentsType,
class InnerMappingType>
MDSPAN_INLINE_FUNCTION constexpr PaddingExtentsType
right_padding_extents(const InnerMappingType& /* inner_mapping */ ,
std::integral_constant<std::size_t, 0> /* rank */ )
{
return PaddingExtentsType{};
}
} // namespace details
// TODO (mfh 2022/08/30) Private inheritance from layout_left::mapping
// resp. layout_right::mapping would reduce inlining depth.
// layout_left_padded is like layout_left,
// except that stride(0) == 1 always,
// and the leftmost extent may be padded
// (so that stride(1) could possibly be greater than extent(0)).
//
// This layout exists for two reasons:
//
// 1. Appropriate choice of padding, plus use of overaligned memory,
// can ensure any desired power-of-two overalignment of the
// beginning of each contiguous segment of elements in an mdspan.
// This is useful for hardware that optimizes for overaligned
// access.
//
// 2. For rank-2 mdspan, this is exactly the layout supported by the
// BLAS and LAPACK (where the "leading dimension" of the matrix
// (LDA), i.e., the stride, is greater than or equal to the number
// of rows).
//
// The padding can be either a compile-time value or a run-time value.
// It is a template parameter of layout_left_padded (the "tag type"),
// and NOT of the mapping, because mdspan requires that the mapping be
// a metafunction of the tag type and the extents specialization type.
template<std::size_t padding_stride = stdex::dynamic_extent>
struct layout_left_padded {
static constexpr size_t padding = padding_stride;
template <class Extents>
class mapping {
public:
using extents_type = Extents;
using index_type = typename extents_type::index_type;
using size_type = typename extents_type::size_type;
using rank_type = typename extents_type::rank_type;
using layout_type = layout_left_padded<padding_stride>;
private:
using padding_extents_type =
stdex::extents<index_type, padding_stride>;
using inner_layout_type = stdex::layout_left;
using inner_extents_type = decltype(
details::pad_extents_left(
std::declval<Extents>(),
std::declval<padding_extents_type>()
)
);
using inner_mapping_type =
typename inner_layout_type::template mapping<inner_extents_type>;
using unpadded_extent_type =
decltype(details::unpadded_extent_left(std::declval<extents_type>()));
inner_mapping_type inner_mapping_;
unpadded_extent_type unpadded_extent_;
padding_extents_type padding_extents() const {
return details::left_padding_extents<padding_extents_type>(
inner_mapping_,
std::integral_constant<std::size_t, extents_type::rank()>{});
}
public:
// mapping constructor that takes ONLY an extents_type.
//
// This constructor makes it possible to construct an mdspan
// from a pointer and extents, since that requires that
// the mapping be constructible from extents alone.
MDSPAN_INLINE_FUNCTION constexpr
mapping(const extents_type& ext) :
inner_mapping_(details::pad_extents_left(
ext,
padding_extents_type{padding_stride})),
unpadded_extent_(details::unpadded_extent_left(ext))
{}
// mapping constructor that takes an extents_type,
// AND an integral padding_value.
//
// This constructor always exists, even if padding is known at
// compile time -- just like the extents constructor lets you pass
// in all rank() extents, even if some of them are known at
// compile time.
template<class Size>
MDSPAN_INLINE_FUNCTION constexpr
mapping(const extents_type& ext,
Size padding_value,
std::enable_if_t<
std::is_convertible<Size, index_type>::value &&
std::is_nothrow_constructible<index_type, Size>::value
>* = nullptr) :
inner_mapping_(details::pad_extents_left(ext, padding_extents_type{padding_value})),
unpadded_extent_(details::unpadded_extent_left(ext))
{
// We don't have to check padding_value here, because the
// padding_extents_type constructor already has a precondition.
}
// Pass in the padding as an extents object.
MDSPAN_INLINE_FUNCTION constexpr
mapping(const extents_type& ext,
const stdex::extents<index_type, padding_stride>& padding_extents) :
inner_mapping_(details::pad_extents_left(ext, padding_extents)),
unpadded_extent_(details::unpadded_extent_left(ext))
{}
// FIXME (mfh 2022/09/28) Converting constructor taking
// layout_right_padded<other_padding_stride>::mapping<OtherExtents>
// is in the proposal, but missing here.
// layout_stride::mapping deliberately only defines the copy
// constructor and copy assignment operator, not the move
// constructor or move assignment operator. This is fine because
// all the storage is std::array-like; there's no advantage to
// move construction or move assignment. We imitate this.
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr mapping(const mapping&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED _MDSPAN_CONSTEXPR_14_DEFAULTED
mapping& operator=(const mapping&) noexcept = default;
MDSPAN_INLINE_FUNCTION
constexpr extents_type extents() const noexcept
{
return details::layout_left_extents<extents_type>(
unpadded_extent_,
inner_mapping_.extents()
);
}
MDSPAN_INLINE_FUNCTION
constexpr std::array<index_type, extents_type::rank()>
strides() const noexcept
{
return inner_mapping_.strides();
}
MDSPAN_INLINE_FUNCTION
constexpr index_type required_span_size() const noexcept
{
return inner_mapping_.required_span_size();
}
MDSPAN_TEMPLATE_REQUIRES(
class... Indices,
/* requires */ (sizeof...(Indices) == Extents::rank() &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(std::is_convertible, Indices, index_type) /*&& ...*/ ) &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(std::is_nothrow_constructible, index_type, Indices) /*&& ...*/)
)
)
MDSPAN_INLINE_FUNCTION
constexpr size_t operator()(Indices... idxs) const noexcept {
// TODO (mfh 2022/08/30) in debug mode, check precondition before forwarding to inner mapping.
return inner_mapping_(std::forward<Indices>(idxs)...);
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_unique() noexcept { return true; }
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_exhaustive() noexcept {
return extents_type::rank() == 0 ? true :
(extents_type::static_extent(0) != stdex::dynamic_extent &&
extents_type::static_extent(0) == unpadded_extent_type::static_extent(0));
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_strided() noexcept { return true; }
MDSPAN_INLINE_FUNCTION static constexpr bool is_unique() noexcept { return true; }
MDSPAN_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 bool is_exhaustive() const noexcept {
return extents_type::rank() == 0 ? true :
inner_mapping_.extent(0) == unpadded_extent_.extent(0);
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_strided() noexcept { return true; }
MDSPAN_INLINE_FUNCTION
constexpr index_type stride(rank_type r) const noexcept {
return inner_mapping_.stride(r);
}
};
};
template<std::size_t padding_stride = stdex::dynamic_extent>
struct layout_right_padded {
static constexpr size_t padding = padding_stride;
template <class Extents>
class mapping {
public:
using extents_type = Extents;
using index_type = typename extents_type::index_type;
using size_type = typename extents_type::size_type;
using rank_type = typename extents_type::rank_type;
using layout_type = layout_right_padded<padding_stride>;
private:
using padding_extents_type =
stdex::extents<index_type, padding_stride>;
using inner_layout_type = stdex::layout_right;
using inner_extents_type = decltype(
details::pad_extents_right(
std::declval<Extents>(),
std::declval<padding_extents_type>()
)
);
using inner_mapping_type =
typename inner_layout_type::template mapping<inner_extents_type>;
using unpadded_extent_type =
decltype(details::unpadded_extent_right(std::declval<extents_type>()));
inner_mapping_type inner_mapping_;
unpadded_extent_type unpadded_extent_;
padding_extents_type padding_extents() const {
return details::right_padding_extents<padding_extents_type>(
inner_mapping_,
std::integral_constant<std::size_t, extents_type::rank()>{});
}
public:
// mapping constructor that takes ONLY an extents_type.
//
// This constructor makes it possible to construct an mdspan
// from a pointer and extents, since that requires that
// the mapping be constructible from extents alone.
MDSPAN_INLINE_FUNCTION constexpr
mapping(const extents_type& ext) :
inner_mapping_(details::pad_extents_right(
ext,
padding_extents_type{padding_stride})),
unpadded_extent_(details::unpadded_extent_right(ext))
{}
// mapping constructor that takes an extents_type,
// AND an integral padding_value.
//
// This constructor always exists, even if padding is known at
// compile time -- just like the extents constructor lets you pass
// in all rank() extents, even if some of them are known at
// compile time.
template<class Size>
MDSPAN_INLINE_FUNCTION constexpr
mapping(const extents_type& ext,
Size padding_value,
std::enable_if_t<
std::is_convertible<Size, index_type>::value &&
std::is_nothrow_constructible<index_type, Size>::value
>* = nullptr) :
inner_mapping_(details::pad_extents_right(ext, padding_extents_type{padding_value})),
unpadded_extent_(details::unpadded_extent_right(ext))
{
// We don't have to check padding_value here, because the
// padding_extents_type constructor already has a precondition.
}
// Pass in the padding as an extents object.
MDSPAN_INLINE_FUNCTION constexpr
mapping(const extents_type& ext,
const stdex::extents<index_type, padding_stride>& padding_extents) :
inner_mapping_(details::pad_extents_right(ext, padding_extents)),
unpadded_extent_(details::unpadded_extent_right(ext))
{}
// FIXME (mfh 2022/09/28) The converting constructor taking
// layout_left_padded<other_padding_stride>::mapping<OtherExtents>
// is in the proposal (missing other_padding_stride in R0),
// but missing here.
// layout_stride::mapping deliberately only defines the copy
// constructor and copy assignment operator, not the move
// constructor or move assignment operator. This is fine because
// all the storage is std::array-like; there's no advantage to
// move construction or move assignment. We imitate this.
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr mapping(const mapping&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED _MDSPAN_CONSTEXPR_14_DEFAULTED
mapping& operator=(const mapping&) noexcept = default;
MDSPAN_INLINE_FUNCTION
constexpr extents_type extents() const noexcept
{
return details::layout_right_extents<extents_type>(
inner_mapping_.extents(),
unpadded_extent_
);
}
MDSPAN_INLINE_FUNCTION
constexpr std::array<index_type, extents_type::rank()>
strides() const noexcept
{
return inner_mapping_.strides();
}
MDSPAN_INLINE_FUNCTION
constexpr index_type required_span_size() const noexcept
{
return inner_mapping_.required_span_size();
}
MDSPAN_TEMPLATE_REQUIRES(
class... Indices,
/* requires */ (sizeof...(Indices) == Extents::rank() &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(std::is_convertible, Indices, index_type) /*&& ...*/ ) &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(std::is_nothrow_constructible, index_type, Indices) /*&& ...*/)
)
)
MDSPAN_INLINE_FUNCTION
constexpr size_t operator()(Indices... idxs) const noexcept {
// TODO (mfh 2022/08/30) in debug mode, check precondition before forwarding to inner mapping.
return inner_mapping_(std::forward<Indices>(idxs)...);
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_unique() noexcept { return true; }
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_exhaustive() noexcept {
return extents_type::rank() == 0 ? true :
(extents_type::static_extent(Extents::rank() - 1) != stdex::dynamic_extent &&
extents_type::static_extent(Extents::rank() - 1) == unpadded_extent_type::static_extent(0));
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_strided() noexcept { return true; }
MDSPAN_INLINE_FUNCTION static constexpr bool is_unique() noexcept { return true; }
MDSPAN_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 bool is_exhaustive() const noexcept {
return extents_type::rank() == 0 ? true :
inner_mapping_.extent(Extents::rank() - 1) == unpadded_extent_.extent(0);
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_strided() noexcept { return true; }
MDSPAN_INLINE_FUNCTION
constexpr index_type stride(rank_type r) const noexcept {
return inner_mapping_.stride(r);
}
};
};
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/type_list.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "macros.hpp"
#include "trait_backports.hpp" // make_index_sequence
namespace std {
namespace experimental {
//==============================================================================
namespace detail {
template <class... _Ts> struct __type_list { static constexpr auto __size = sizeof...(_Ts); };
// Implementation of type_list at() that's heavily optimized for small typelists
template <size_t, class> struct __type_at;
template <size_t, class _Seq, class=make_index_sequence<_Seq::__size>> struct __type_at_large_impl;
template <size_t _I, size_t _Idx, class _T>
struct __type_at_entry { };
template <class _Result>
struct __type_at_assign_op_ignore_rest {
template <class _T>
__type_at_assign_op_ignore_rest<_Result> operator=(_T&&);
using type = _Result;
};
struct __type_at_assign_op_impl {
template <size_t _I, size_t _Idx, class _T>
__type_at_assign_op_impl operator=(__type_at_entry<_I, _Idx, _T>&&);
template <size_t _I, class _T>
__type_at_assign_op_ignore_rest<_T> operator=(__type_at_entry<_I, _I, _T>&&);
};
template <size_t _I, class... _Ts, size_t... _Idxs>
struct __type_at_large_impl<_I, __type_list<_Ts...>, integer_sequence<size_t, _Idxs...>>
: decltype(
_MDSPAN_FOLD_ASSIGN_LEFT(__type_at_assign_op_impl{}, /* = ... = */ __type_at_entry<_I, _Idxs, _Ts>{})
)
{ };
template <size_t _I, class... _Ts>
struct __type_at<_I, __type_list<_Ts...>>
: __type_at_large_impl<_I, __type_list<_Ts...>>
{ };
template <class _T0, class... _Ts>
struct __type_at<0, __type_list<_T0, _Ts...>> {
using type = _T0;
};
template <class _T0, class _T1, class... _Ts>
struct __type_at<1, __type_list<_T0, _T1, _Ts...>> {
using type = _T1;
};
template <class _T0, class _T1, class _T2, class... _Ts>
struct __type_at<2, __type_list<_T0, _T1, _T2, _Ts...>> {
using type = _T2;
};
template <class _T0, class _T1, class _T2, class _T3, class... _Ts>
struct __type_at<3, __type_list<_T0, _T1, _T2, _T3, _Ts...>> {
using type = _T3;
};
} // namespace detail
//==============================================================================
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/maybe_static_value.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "macros.hpp"
#include "dynamic_extent.hpp"
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
# include "no_unique_address.hpp"
#endif
// This is only needed for the non-standard-layout version of partially
// static array.
// Needs to be after the includes above to work with the single header generator
#if !_MDSPAN_PRESERVE_STANDARD_LAYOUT
namespace std {
namespace experimental {
//==============================================================================
namespace detail {
// static case
template <class _dynamic_t, class static_t, _static_t __v,
_static_t __is_dynamic_sentinal = dynamic_extent,
size_t __array_entry_index = 0>
struct __maybe_static_value {
static constexpr _static_t __static_value = __v;
MDSPAN_FORCE_INLINE_FUNCTION constexpr _dynamic_t __value() const noexcept {
return static_cast<_dynamic_t>(__v);
}
template <class _U>
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
__mdspan_enable_fold_comma
__set_value(_U&& /*__rhs*/) noexcept {
// Should we assert that the value matches the static value here?
return {};
}
//--------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __maybe_static_value() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __maybe_static_value(__maybe_static_value const&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __maybe_static_value(__maybe_static_value&&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __maybe_static_value& operator=(__maybe_static_value const&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __maybe_static_value& operator=(__maybe_static_value&&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__maybe_static_value() noexcept = default;
MDSPAN_INLINE_FUNCTION
constexpr explicit __maybe_static_value(_dynamic_t const&) noexcept {
// Should we assert that the value matches the static value here?
}
//--------------------------------------------------------------------------
};
// dynamic case
template <class _dynamic_t, class _static_t, _static_t __is_dynamic_sentinal, size_t __array_entry_index>
struct __maybe_static_value<_dynamic_t, _static_t, __is_dynamic_sentinal, __is_dynamic_sentinal,
__array_entry_index>
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __no_unique_address_emulation<_T>
#endif
{
static constexpr _static_t __static_value = __is_dynamic_sentinal;
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
_MDSPAN_NO_UNIQUE_ADDRESS _dynamic_t __v = {};
MDSPAN_FORCE_INLINE_FUNCTION constexpr _dynamic_t __value() const noexcept {
return __v;
}
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _dynamic_t &__ref() noexcept {
return __v;
}
template <class _U>
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
__mdspan_enable_fold_comma
__set_value(_U&& __rhs) noexcept {
__v = (_U &&)rhs;
return {};
}
#else
MDSPAN_FORCE_INLINE_FUNCTION constexpr _dynamic_t __value() const noexcept {
return this->__no_unique_address_emulation<_dynamic_t>::__ref();
}
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _dynamic_t &__ref() noexcept {
return this->__no_unique_address_emulation<_dynamic_t>::__ref();
}
template <class _U>
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
__mdspan_enable_fold_comma
__set_value(_U&& __rhs) noexcept {
this->__no_unique_address_emulation<_dynamic_t>::__ref() = (_U &&)__rhs;
return {};
}
#endif
};
} // namespace detail
//==============================================================================
} // end namespace experimental
} // end namespace std
#endif // !_MDSPAN_PRESERVE_STANDARD_LAYOUT
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/compressed_pair.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
#include "trait_backports.hpp"
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
# include "no_unique_address.hpp"
#endif
namespace std {
namespace experimental {
namespace detail {
// For no unique address emulation, this is the case taken when neither are empty.
// For real `[[no_unique_address]]`, this case is always taken.
template <class _T, class _U, class _Enable = void> struct __compressed_pair {
_MDSPAN_NO_UNIQUE_ADDRESS _T __t_val;
_MDSPAN_NO_UNIQUE_ADDRESS _U __u_val;
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _T &__first() noexcept { return __t_val; }
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T const &__first() const noexcept {
return __t_val;
}
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _U &__second() noexcept { return __u_val; }
MDSPAN_FORCE_INLINE_FUNCTION constexpr _U const &__second() const noexcept {
return __u_val;
}
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair(__compressed_pair const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair(__compressed_pair &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __compressed_pair &
operator=(__compressed_pair const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __compressed_pair &
operator=(__compressed_pair &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__compressed_pair() noexcept = default;
template <class _TLike, class _ULike>
MDSPAN_INLINE_FUNCTION constexpr __compressed_pair(_TLike &&__t, _ULike &&__u)
: __t_val((_TLike &&) __t), __u_val((_ULike &&) __u) {}
};
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
// First empty.
template <class _T, class _U>
struct __compressed_pair<
_T, _U,
enable_if_t<_MDSPAN_TRAIT(is_empty, _T) && !_MDSPAN_TRAIT(is_empty, _U)>>
: private _T {
_U __u_val;
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _T &__first() noexcept {
return *static_cast<_T *>(this);
}
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T const &__first() const noexcept {
return *static_cast<_T const *>(this);
}
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _U &__second() noexcept { return __u_val; }
MDSPAN_FORCE_INLINE_FUNCTION constexpr _U const &__second() const noexcept {
return __u_val;
}
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair(__compressed_pair const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair(__compressed_pair &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __compressed_pair &
operator=(__compressed_pair const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __compressed_pair &
operator=(__compressed_pair &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__compressed_pair() noexcept = default;
template <class _TLike, class _ULike>
MDSPAN_INLINE_FUNCTION constexpr __compressed_pair(_TLike &&__t, _ULike &&__u)
: _T((_TLike &&) __t), __u_val((_ULike &&) __u) {}
};
// Second empty.
template <class _T, class _U>
struct __compressed_pair<
_T, _U,
enable_if_t<!_MDSPAN_TRAIT(is_empty, _T) && _MDSPAN_TRAIT(is_empty, _U)>>
: private _U {
_T __t_val;
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _T &__first() noexcept { return __t_val; }
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T const &__first() const noexcept {
return __t_val;
}
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _U &__second() noexcept {
return *static_cast<_U *>(this);
}
MDSPAN_FORCE_INLINE_FUNCTION constexpr _U const &__second() const noexcept {
return *static_cast<_U const *>(this);
}
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair(__compressed_pair const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair(__compressed_pair &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __compressed_pair &
operator=(__compressed_pair const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __compressed_pair &
operator=(__compressed_pair &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__compressed_pair() noexcept = default;
template <class _TLike, class _ULike>
MDSPAN_INLINE_FUNCTION constexpr __compressed_pair(_TLike &&__t, _ULike &&__u)
: _U((_ULike &&) __u), __t_val((_TLike &&) __t) {}
};
// Both empty.
template <class _T, class _U>
struct __compressed_pair<
_T, _U,
enable_if_t<_MDSPAN_TRAIT(is_empty, _T) && _MDSPAN_TRAIT(is_empty, _U)>>
// We need to use the __no_unique_address_emulation wrapper here to avoid
// base class ambiguities.
#ifdef _MDSPAN_COMPILER_MSVC
// MSVC doesn't allow you to access public static member functions of a type
// when you *happen* to privately inherit from that type.
: protected __no_unique_address_emulation<_T, 0>,
protected __no_unique_address_emulation<_U, 1>
#else
: private __no_unique_address_emulation<_T, 0>,
private __no_unique_address_emulation<_U, 1>
#endif
{
using __first_base_t = __no_unique_address_emulation<_T, 0>;
using __second_base_t = __no_unique_address_emulation<_U, 1>;
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _T &__first() noexcept {
return this->__first_base_t::__ref();
}
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T const &__first() const noexcept {
return this->__first_base_t::__ref();
}
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 _U &__second() noexcept {
return this->__second_base_t::__ref();
}
MDSPAN_FORCE_INLINE_FUNCTION constexpr _U const &__second() const noexcept {
return this->__second_base_t::__ref();
}
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair(__compressed_pair const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __compressed_pair(__compressed_pair &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __compressed_pair &
operator=(__compressed_pair const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __compressed_pair &
operator=(__compressed_pair &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__compressed_pair() noexcept = default;
template <class _TLike, class _ULike>
MDSPAN_INLINE_FUNCTION constexpr __compressed_pair(_TLike &&__t, _ULike &&__u) noexcept
: __first_base_t(_T((_TLike &&) __t)),
__second_base_t(_U((_ULike &&) __u))
{ }
};
#endif // !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
} // end namespace detail
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/dynamic_extent.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
#include <cstddef> // size_t
#include <limits> // numeric_limits
namespace std {
namespace experimental {
_MDSPAN_INLINE_VARIABLE constexpr auto dynamic_extent = std::numeric_limits<size_t>::max();
namespace detail {
template <class>
constexpr auto __make_dynamic_extent() {
return dynamic_extent;
}
template <size_t>
constexpr auto __make_dynamic_extent_integral() {
return dynamic_extent;
}
} // end namespace detail
} // end namespace experimental
} // namespace std
//==============================================================================================================
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/aligned_accessor.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
// NOTE: This code is prematurely taken from an example based on
// https://github.com/kokkos/mdspan/pull/176
#pragma once
#include "macros.hpp"
#include "trait_backports.hpp"
#include "default_accessor.hpp"
#include "extents.hpp"
#include <cassert>
#include <iostream>
#include <type_traits>
namespace std {
namespace experimental {
namespace stdex = std::experimental;
// Prefer std::assume_aligned if available, as it is in the C++ Standard.
// Otherwise, use a compiler-specific equivalent if available.
// NOTE (mfh 2022/08/08) BYTE_ALIGNMENT must be unsigned and a power of 2.
#if defined(__cpp_lib_assume_aligned)
# define _MDSPAN_ASSUME_ALIGNED( ELEMENT_TYPE, POINTER, BYTE_ALIGNMENT ) (std::assume_aligned< BYTE_ALIGNMENT >( POINTER ))
constexpr char assume_aligned_method[] = "std::assume_aligned";
#elif defined(__ICL)
# define _MDSPAN_ASSUME_ALIGNED( ELEMENT_TYPE, POINTER, BYTE_ALIGNMENT ) POINTER
constexpr char assume_aligned_method[] = "(none)";
#elif defined(__ICC)
# define _MDSPAN_ASSUME_ALIGNED( ELEMENT_TYPE, POINTER, BYTE_ALIGNMENT ) POINTER
constexpr char assume_aligned_method[] = "(none)";
#elif defined(__clang__)
# define _MDSPAN_ASSUME_ALIGNED( ELEMENT_TYPE, POINTER, BYTE_ALIGNMENT ) POINTER
constexpr char assume_aligned_method[] = "(none)";
#elif defined(__GNUC__)
// __builtin_assume_aligned returns void*
# define _MDSPAN_ASSUME_ALIGNED( ELEMENT_TYPE, POINTER, BYTE_ALIGNMENT ) reinterpret_cast< ELEMENT_TYPE* >(__builtin_assume_aligned( POINTER, BYTE_ALIGNMENT ))
constexpr char assume_aligned_method[] = "__builtin_assume_aligned";
#else
# define _MDSPAN_ASSUME_ALIGNED( ELEMENT_TYPE, POINTER, BYTE_ALIGNMENT ) POINTER
constexpr char assume_aligned_method[] = "(none)";
#endif
// Some compilers other than Clang or GCC like to define __clang__ or __GNUC__.
// Thus, we order the tests from most to least specific.
#if defined(__ICL)
# define _MDSPAN_ALIGN_VALUE_ATTRIBUTE( BYTE_ALIGNMENT ) __declspec(align_value( BYTE_ALIGNMENT ));
constexpr char align_attribute_method[] = "__declspec(align_value(BYTE_ALIGNMENT))";
#elif defined(__ICC)
# define _MDSPAN_ALIGN_VALUE_ATTRIBUTE( BYTE_ALIGNMENT ) __attribute__((align_value( BYTE_ALIGNMENT )));
constexpr char align_attribute_method[] = "__attribute__((align_value(BYTE_ALIGNMENT)))";
#elif defined(__clang__)
# define _MDSPAN_ALIGN_VALUE_ATTRIBUTE( BYTE_ALIGNMENT ) __attribute__((align_value( BYTE_ALIGNMENT )));
constexpr char align_attribute_method[] = "__attribute__((align_value(BYTE_ALIGNMENT)))";
#else
# define _MDSPAN_ALIGN_VALUE_ATTRIBUTE( BYTE_ALIGNMENT )
constexpr char align_attribute_method[] = "(none)";
#endif
constexpr bool
is_nonzero_power_of_two(const std::size_t x)
{
// Just checking __cpp_lib_int_pow2 isn't enough for some GCC versions.
// The <bit> header exists, but std::has_single_bit does not.
#if defined(__cpp_lib_int_pow2) && __cplusplus >= 202002L
return std::has_single_bit(x);
#else
return x != 0 && (x & (x - 1)) == 0;
#endif
}
template<class ElementType>
constexpr bool
valid_byte_alignment(const std::size_t byte_alignment)
{
return is_nonzero_power_of_two(byte_alignment) && byte_alignment >= alignof(ElementType);
}
// We define aligned_pointer_t through a struct
// so we can check whether the byte alignment is valid.
// This makes it impossible to use the alias
// with an invalid byte alignment.
template<class ElementType, std::size_t byte_alignment>
struct aligned_pointer {
static_assert(valid_byte_alignment<ElementType>(byte_alignment),
"byte_alignment must be a power of two no less than "
"the minimum required alignment of ElementType.");
using type = ElementType* _MDSPAN_ALIGN_VALUE_ATTRIBUTE( byte_alignment );
};
template<class ElementType, std::size_t byte_alignment>
using aligned_pointer_t = typename aligned_pointer<ElementType, byte_alignment>::type;
template<class ElementType, std::size_t byte_alignment>
aligned_pointer_t<ElementType, byte_alignment>
bless(ElementType* ptr, std::integral_constant<std::size_t, byte_alignment> /* ba */ )
{
return _MDSPAN_ASSUME_ALIGNED( ElementType, ptr, byte_alignment );
}
template<class ElementType, std::size_t byte_alignment>
struct aligned_accessor {
using offset_policy = stdex::default_accessor<ElementType>;
using element_type = ElementType;
using reference = ElementType&;
using data_handle_type = aligned_pointer_t<ElementType, byte_alignment>;
constexpr aligned_accessor() noexcept = default;
MDSPAN_TEMPLATE_REQUIRES(
class OtherElementType,
std::size_t other_byte_alignment,
/* requires */ (std::is_convertible<OtherElementType(*)[], element_type(*)[]>::value && other_byte_alignment == byte_alignment)
)
constexpr aligned_accessor(aligned_accessor<OtherElementType, other_byte_alignment>) noexcept {}
constexpr reference access(data_handle_type p, size_t i) const noexcept {
// This may declare alignment twice, depending on
// if we have an attribute for marking pointer types.
return _MDSPAN_ASSUME_ALIGNED( ElementType, p, byte_alignment )[i];
}
constexpr typename offset_policy::data_handle_type
offset(data_handle_type p, size_t i) const noexcept {
return p + i;
}
};
template<class ElementType>
struct delete_raw {
void operator()(ElementType* p) const {
if (p != nullptr) {
// All the aligned allocation methods below go with std::free.
// If we implement a new method that uses a different
// deallocation function, that function would go here.
std::free(p);
}
}
};
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/submdspan.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "mdspan.hpp"
#include "full_extent_t.hpp"
#include "dynamic_extent.hpp"
#include "layout_left.hpp"
#include "layout_right.hpp"
#include "layout_stride.hpp"
#include "macros.hpp"
#include "trait_backports.hpp"
#include <tuple> // std::apply
#include <utility> // std::pair
namespace std {
namespace experimental {
namespace detail {
template <size_t OldExtent, size_t OldStaticStride, class T>
struct __slice_wrap {
T slice;
size_t old_extent;
size_t old_stride;
};
//--------------------------------------------------------------------------------
template <size_t OldExtent, size_t OldStaticStride>
MDSPAN_INLINE_FUNCTION constexpr
__slice_wrap<OldExtent, OldStaticStride, size_t>
__wrap_slice(size_t val, size_t ext, size_t stride) { return { val, ext, stride }; }
template <size_t OldExtent, size_t OldStaticStride>
MDSPAN_INLINE_FUNCTION constexpr
__slice_wrap<OldExtent, OldStaticStride, full_extent_t>
__wrap_slice(full_extent_t val, size_t ext, size_t stride) { return { val, ext, stride }; }
// TODO generalize this to anything that works with std::get<0> and std::get<1>
template <size_t OldExtent, size_t OldStaticStride>
MDSPAN_INLINE_FUNCTION constexpr
__slice_wrap<OldExtent, OldStaticStride, std::tuple<size_t, size_t>>
__wrap_slice(std::tuple<size_t, size_t> const& val, size_t ext, size_t stride)
{
return { val, ext, stride };
}
//--------------------------------------------------------------------------------
// a layout right remains a layout right if it is indexed by 0 or more scalars,
// then optionally a pair and finally 0 or more all
template <
// what we encountered until now preserves the layout right
bool result=true,
// we only encountered 0 or more scalars, no pair or all
bool encountered_only_scalar=true
>
struct preserve_layout_right_analysis : integral_constant<bool, result> {
using layout_type_if_preserved = layout_right;
using encounter_pair = preserve_layout_right_analysis<
// if we encounter a pair, the layout remains a layout right only if it was one before
// and that only scalars were encountered until now
result && encountered_only_scalar,
// if we encounter a pair, we didn't encounter scalars only
false
>;
using encounter_all = preserve_layout_right_analysis<
// if we encounter a all, the layout remains a layout right if it was one before
result,
// if we encounter a all, we didn't encounter scalars only
false
>;
using encounter_scalar = preserve_layout_right_analysis<
// if we encounter a scalar, the layout remains a layout right only if it was one before
// and that only scalars were encountered until now
result && encountered_only_scalar,
// if we encounter a scalar, the fact that we encountered scalars only doesn't change
encountered_only_scalar
>;
};
// a layout left remains a layout left if it is indexed by 0 or more all,
// then optionally a pair and finally 0 or more scalars
template <
bool result=true,
bool encountered_only_all=true
>
struct preserve_layout_left_analysis : integral_constant<bool, result> {
using layout_type_if_preserved = layout_left;
using encounter_pair = preserve_layout_left_analysis<
// if we encounter a pair, the layout remains a layout left only if it was one before
// and that only all were encountered until now
result && encountered_only_all,
// if we encounter a pair, we didn't encounter all only
false
>;
using encounter_all = preserve_layout_left_analysis<
// if we encounter a all, the layout remains a layout left only if it was one before
// and that only all were encountered until now
result && encountered_only_all,
// if we encounter a all, the fact that we encountered scalars all doesn't change
encountered_only_all
>;
using encounter_scalar = preserve_layout_left_analysis<
// if we encounter a scalar, the layout remains a layout left if it was one before
result,
// if we encounter a scalar, we didn't encounter scalars only
false
>;
};
struct ignore_layout_preservation : std::integral_constant<bool, false> {
using layout_type_if_preserved = void;
using encounter_pair = ignore_layout_preservation;
using encounter_all = ignore_layout_preservation;
using encounter_scalar = ignore_layout_preservation;
};
template <class Layout>
struct preserve_layout_analysis
: ignore_layout_preservation { };
template <>
struct preserve_layout_analysis<layout_right>
: preserve_layout_right_analysis<> { };
template <>
struct preserve_layout_analysis<layout_left>
: preserve_layout_left_analysis<> { };
//--------------------------------------------------------------------------------
template <
class _IndexT,
class _PreserveLayoutAnalysis,
class _OffsetsArray=__partially_static_sizes<_IndexT, size_t>,
class _ExtsArray=__partially_static_sizes<_IndexT, size_t>,
class _StridesArray=__partially_static_sizes<_IndexT, size_t>,
class = make_index_sequence<_OffsetsArray::__size>,
class = make_index_sequence<_ExtsArray::__size>,
class = make_index_sequence<_StridesArray::__size>
>
struct __assign_op_slice_handler;
/* clang-format: off */
template <
class _IndexT,
class _PreserveLayoutAnalysis,
size_t... _Offsets,
size_t... _Exts,
size_t... _Strides,
size_t... _OffsetIdxs,
size_t... _ExtIdxs,
size_t... _StrideIdxs>
struct __assign_op_slice_handler<
_IndexT,
_PreserveLayoutAnalysis,
__partially_static_sizes<_IndexT, size_t, _Offsets...>,
__partially_static_sizes<_IndexT, size_t, _Exts...>,
__partially_static_sizes<_IndexT, size_t, _Strides...>,
integer_sequence<size_t, _OffsetIdxs...>,
integer_sequence<size_t, _ExtIdxs...>,
integer_sequence<size_t, _StrideIdxs...>>
{
// TODO remove this for better compiler performance
static_assert(
_MDSPAN_FOLD_AND((_Strides == dynamic_extent || _Strides > 0) /* && ... */),
" "
);
static_assert(
_MDSPAN_FOLD_AND((_Offsets == dynamic_extent || _Offsets >= 0) /* && ... */),
" "
);
using __offsets_storage_t = __partially_static_sizes<_IndexT, size_t, _Offsets...>;
using __extents_storage_t = __partially_static_sizes<_IndexT, size_t, _Exts...>;
using __strides_storage_t = __partially_static_sizes<_IndexT, size_t, _Strides...>;
__offsets_storage_t __offsets;
__extents_storage_t __exts;
__strides_storage_t __strides;
#ifdef __INTEL_COMPILER
#if __INTEL_COMPILER <= 1800
MDSPAN_INLINE_FUNCTION constexpr __assign_op_slice_handler(__assign_op_slice_handler&& __other) noexcept
: __offsets(::std::move(__other.__offsets)), __exts(::std::move(__other.__exts)), __strides(::std::move(__other.__strides))
{ }
MDSPAN_INLINE_FUNCTION constexpr __assign_op_slice_handler(
__offsets_storage_t&& __o,
__extents_storage_t&& __e,
__strides_storage_t&& __s
) noexcept
: __offsets(::std::move(__o)), __exts(::std::move(__e)), __strides(::std::move(__s))
{ }
#endif
#endif
// Don't define this unless we need it; they have a cost to compile
#ifndef _MDSPAN_USE_RETURN_TYPE_DEDUCTION
using __extents_type = ::std::experimental::extents<_IndexT, _Exts...>;
#endif
// For size_t slice, skip the extent and stride, but add an offset corresponding to the value
template <size_t _OldStaticExtent, size_t _OldStaticStride>
MDSPAN_FORCE_INLINE_FUNCTION // NOLINT (misc-unconventional-assign-operator)
_MDSPAN_CONSTEXPR_14 auto
operator=(__slice_wrap<_OldStaticExtent, _OldStaticStride, size_t>&& __slice) noexcept
-> __assign_op_slice_handler<
_IndexT,
typename _PreserveLayoutAnalysis::encounter_scalar,
__partially_static_sizes<_IndexT, size_t, _Offsets..., dynamic_extent>,
__partially_static_sizes<_IndexT, size_t, _Exts...>,
__partially_static_sizes<_IndexT, size_t, _Strides...>/* intentional space here to work around ICC bug*/> {
return {
__partially_static_sizes<_IndexT, size_t, _Offsets..., dynamic_extent>(
__construct_psa_from_all_exts_values_tag,
__offsets.template __get_n<_OffsetIdxs>()..., __slice.slice),
::std::move(__exts),
::std::move(__strides)
};
}
// For a std::full_extent, offset 0 and old extent
template <size_t _OldStaticExtent, size_t _OldStaticStride>
MDSPAN_FORCE_INLINE_FUNCTION // NOLINT (misc-unconventional-assign-operator)
_MDSPAN_CONSTEXPR_14 auto
operator=(__slice_wrap<_OldStaticExtent, _OldStaticStride, full_extent_t>&& __slice) noexcept
-> __assign_op_slice_handler<
_IndexT,
typename _PreserveLayoutAnalysis::encounter_all,
__partially_static_sizes<_IndexT, size_t, _Offsets..., 0>,
__partially_static_sizes<_IndexT, size_t, _Exts..., _OldStaticExtent>,
__partially_static_sizes<_IndexT, size_t, _Strides..., _OldStaticStride>/* intentional space here to work around ICC bug*/> {
return {
__partially_static_sizes<_IndexT, size_t, _Offsets..., 0>(
__construct_psa_from_all_exts_values_tag,
__offsets.template __get_n<_OffsetIdxs>()..., size_t(0)),
__partially_static_sizes<_IndexT, size_t, _Exts..., _OldStaticExtent>(
__construct_psa_from_all_exts_values_tag,
__exts.template __get_n<_ExtIdxs>()..., __slice.old_extent),
__partially_static_sizes<_IndexT, size_t, _Strides..., _OldStaticStride>(
__construct_psa_from_all_exts_values_tag,
__strides.template __get_n<_StrideIdxs>()..., __slice.old_stride)
};
}
// For a std::tuple, add an offset and add a new dynamic extent (strides still preserved)
template <size_t _OldStaticExtent, size_t _OldStaticStride>
MDSPAN_FORCE_INLINE_FUNCTION // NOLINT (misc-unconventional-assign-operator)
_MDSPAN_CONSTEXPR_14 auto
operator=(__slice_wrap<_OldStaticExtent, _OldStaticStride, tuple<size_t, size_t>>&& __slice) noexcept
-> __assign_op_slice_handler<
_IndexT,
typename _PreserveLayoutAnalysis::encounter_pair,
__partially_static_sizes<_IndexT, size_t, _Offsets..., dynamic_extent>,
__partially_static_sizes<_IndexT, size_t, _Exts..., dynamic_extent>,
__partially_static_sizes<_IndexT, size_t, _Strides..., _OldStaticStride>/* intentional space here to work around ICC bug*/> {
return {
__partially_static_sizes<_IndexT, size_t, _Offsets..., dynamic_extent>(
__construct_psa_from_all_exts_values_tag,
__offsets.template __get_n<_OffsetIdxs>()..., ::std::get<0>(__slice.slice)),
__partially_static_sizes<_IndexT, size_t, _Exts..., dynamic_extent>(
__construct_psa_from_all_exts_values_tag,
__exts.template __get_n<_ExtIdxs>()..., ::std::get<1>(__slice.slice) - ::std::get<0>(__slice.slice)),
__partially_static_sizes<_IndexT, size_t, _Strides..., _OldStaticStride>(
__construct_psa_from_all_exts_values_tag,
__strides.template __get_n<_StrideIdxs>()..., __slice.old_stride)
};
}
// TODO defer instantiation of this?
using layout_type = typename conditional<
_PreserveLayoutAnalysis::value,
typename _PreserveLayoutAnalysis::layout_type_if_preserved,
layout_stride
>::type;
// TODO noexcept specification
template <class NewLayout>
MDSPAN_INLINE_FUNCTION
_MDSPAN_DEDUCE_RETURN_TYPE_SINGLE_LINE(
(
_MDSPAN_CONSTEXPR_14 /* auto */
_make_layout_mapping_impl(NewLayout) noexcept
),
(
/* not layout stride, so don't pass dynamic_strides */
/* return */ typename NewLayout::template mapping<::std::experimental::extents<_IndexT, _Exts...>>(
experimental::extents<_IndexT, _Exts...>::__make_extents_impl(::std::move(__exts))
) /* ; */
)
)
MDSPAN_INLINE_FUNCTION
_MDSPAN_DEDUCE_RETURN_TYPE_SINGLE_LINE(
(
_MDSPAN_CONSTEXPR_14 /* auto */
_make_layout_mapping_impl(layout_stride) noexcept
),
(
/* return */ layout_stride::template mapping<::std::experimental::extents<_IndexT, _Exts...>>
::__make_mapping(::std::move(__exts), ::std::move(__strides)) /* ; */
)
)
template <class OldLayoutMapping> // mostly for deferred instantiation, but maybe we'll use this in the future
MDSPAN_INLINE_FUNCTION
_MDSPAN_DEDUCE_RETURN_TYPE_SINGLE_LINE(
(
_MDSPAN_CONSTEXPR_14 /* auto */
make_layout_mapping(OldLayoutMapping const&) noexcept
),
(
/* return */ this->_make_layout_mapping_impl(layout_type{}) /* ; */
)
)
};
//==============================================================================
#if _MDSPAN_USE_RETURN_TYPE_DEDUCTION
// Forking this because the C++11 version will be *completely* unreadable
template <class ET, class ST, size_t... Exts, class LP, class AP, class... SliceSpecs, size_t... Idxs>
MDSPAN_INLINE_FUNCTION
constexpr auto _submdspan_impl(
integer_sequence<size_t, Idxs...>,
mdspan<ET, std::experimental::extents<ST, Exts...>, LP, AP> const& src,
SliceSpecs&&... slices
) noexcept
{
using _IndexT = ST;
auto _handled =
_MDSPAN_FOLD_ASSIGN_LEFT(
(
detail::__assign_op_slice_handler<
_IndexT,
detail::preserve_layout_analysis<LP>
>{
__partially_static_sizes<_IndexT, size_t>{},
__partially_static_sizes<_IndexT, size_t>{},
__partially_static_sizes<_IndexT, size_t>{}
}
),
/* = ... = */
detail::__wrap_slice<
Exts, dynamic_extent
>(
slices, src.extents().template __extent<Idxs>(),
src.mapping().stride(Idxs)
)
);
size_t offset_size = src.mapping()(_handled.__offsets.template __get_n<Idxs>()...);
auto offset_ptr = src.accessor().offset(src.data_handle(), offset_size);
auto map = _handled.make_layout_mapping(src.mapping());
auto acc_pol = typename AP::offset_policy(src.accessor());
return mdspan<
ET, remove_const_t<remove_reference_t<decltype(map.extents())>>,
typename decltype(_handled)::layout_type, remove_const_t<remove_reference_t<decltype(acc_pol)>>
>(
std::move(offset_ptr), std::move(map), std::move(acc_pol)
);
}
#else
template <class ET, class AP, class Src, class Handled, size_t... Idxs>
auto _submdspan_impl_helper(Src&& src, Handled&& h, std::integer_sequence<size_t, Idxs...>)
-> mdspan<
ET, typename Handled::__extents_type, typename Handled::layout_type, typename AP::offset_policy
>
{
return {
src.accessor().offset(src.data_handle(), src.mapping()(h.__offsets.template __get_n<Idxs>()...)),
h.make_layout_mapping(src.mapping()),
typename AP::offset_policy(src.accessor())
};
}
template <class ET, class ST, size_t... Exts, class LP, class AP, class... SliceSpecs, size_t... Idxs>
MDSPAN_INLINE_FUNCTION
_MDSPAN_DEDUCE_RETURN_TYPE_SINGLE_LINE(
(
constexpr /* auto */ _submdspan_impl(
std::integer_sequence<size_t, Idxs...> seq,
mdspan<ET, std::experimental::extents<ST, Exts...>, LP, AP> const& src,
SliceSpecs&&... slices
) noexcept
),
(
/* return */ _submdspan_impl_helper<ET, AP>(
src,
_MDSPAN_FOLD_ASSIGN_LEFT(
(
detail::__assign_op_slice_handler<
size_t,
detail::preserve_layout_analysis<LP>
>{
__partially_static_sizes<ST, size_t>{},
__partially_static_sizes<ST, size_t>{},
__partially_static_sizes<ST, size_t>{}
}
),
/* = ... = */
detail::__wrap_slice<
Exts, dynamic_extent
>(
slices, src.extents().template __extent<Idxs>(), src.mapping().stride(Idxs)
)
),
seq
) /* ; */
)
)
#endif
template <class T> struct _is_layout_stride : std::false_type { };
template<>
struct _is_layout_stride<
layout_stride
> : std::true_type
{ };
} // namespace detail
//==============================================================================
MDSPAN_TEMPLATE_REQUIRES(
class ET, class EXT, class LP, class AP, class... SliceSpecs,
/* requires */ (
(
_MDSPAN_TRAIT(is_same, LP, layout_left)
|| _MDSPAN_TRAIT(is_same, LP, layout_right)
|| detail::_is_layout_stride<LP>::value
) &&
_MDSPAN_FOLD_AND((
_MDSPAN_TRAIT(is_convertible, SliceSpecs, size_t)
|| _MDSPAN_TRAIT(is_convertible, SliceSpecs, tuple<size_t, size_t>)
|| _MDSPAN_TRAIT(is_convertible, SliceSpecs, full_extent_t)
) /* && ... */) &&
sizeof...(SliceSpecs) == EXT::rank()
)
)
MDSPAN_INLINE_FUNCTION
_MDSPAN_DEDUCE_RETURN_TYPE_SINGLE_LINE(
(
constexpr submdspan(
mdspan<ET, EXT, LP, AP> const& src, SliceSpecs... slices
) noexcept
),
(
/* return */
detail::_submdspan_impl(std::make_index_sequence<sizeof...(SliceSpecs)>{}, src, slices...) /*;*/
)
)
/* clang-format: on */
} // end namespace experimental
} // namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/extents.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
#include "static_array.hpp"
#include "standard_layout_static_array.hpp"
#include "trait_backports.hpp" // integer_sequence, etc.
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
# include "no_unique_address.hpp"
#endif
#include <array>
#include <cstddef>
namespace std {
namespace experimental {
namespace detail {
template<size_t ... Extents>
struct _count_dynamic_extents;
template<size_t E, size_t ... Extents>
struct _count_dynamic_extents<E,Extents...> {
static constexpr size_t val = (E==dynamic_extent?1:0) + _count_dynamic_extents<Extents...>::val;
};
template<>
struct _count_dynamic_extents<> {
static constexpr size_t val = 0;
};
template <size_t... Extents, size_t... OtherExtents>
static constexpr std::false_type _check_compatible_extents(
std::false_type, std::integer_sequence<size_t, Extents...>, std::integer_sequence<size_t, OtherExtents...>
) noexcept { return { }; }
template <size_t... Extents, size_t... OtherExtents>
static std::integral_constant<
bool,
_MDSPAN_FOLD_AND(
(
Extents == dynamic_extent
|| OtherExtents == dynamic_extent
|| Extents == OtherExtents
) /* && ... */
)
>
_check_compatible_extents(
std::true_type, std::integer_sequence<size_t, Extents...>, std::integer_sequence<size_t, OtherExtents...>
) noexcept { return { }; }
struct __extents_tag { };
} // end namespace detail
template <class ThisIndexType, size_t... Extents>
class extents
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: private detail::__no_unique_address_emulation<
detail::__partially_static_sizes_tagged<detail::__extents_tag, ThisIndexType , size_t, Extents...>>
#endif
{
public:
using rank_type = size_t;
using index_type = ThisIndexType;
using size_type = make_unsigned_t<index_type>;
// internal typedefs which for technical reasons are public
using __storage_t = detail::__partially_static_sizes_tagged<detail::__extents_tag, index_type, size_t, Extents...>;
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
_MDSPAN_NO_UNIQUE_ADDRESS __storage_t __storage_;
#else
using __base_t = detail::__no_unique_address_emulation<__storage_t>;
#endif
// private members dealing with the way we internally store dynamic extents
private:
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
__storage_t& __storage() noexcept {
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
return __storage_;
#else
return this->__base_t::__ref();
#endif
}
MDSPAN_FORCE_INLINE_FUNCTION
constexpr __storage_t const& __storage() const noexcept {
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
return __storage_;
#else
return this->__base_t::__ref();
#endif
}
template <size_t... Idxs>
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr
index_type _static_extent_impl(size_t n, std::integer_sequence<size_t, Idxs...>) noexcept {
return _MDSPAN_FOLD_PLUS_RIGHT(((Idxs == n) ? Extents : 0), /* + ... + */ 0);
}
template <class, size_t...>
friend class extents;
template <class OtherIndexType, size_t... OtherExtents, size_t... Idxs>
MDSPAN_INLINE_FUNCTION
constexpr bool _eq_impl(std::experimental::extents<OtherIndexType, OtherExtents...>, false_type, index_sequence<Idxs...>) const noexcept { return false; }
template <class OtherIndexType, size_t... OtherExtents, size_t... Idxs>
MDSPAN_INLINE_FUNCTION
constexpr bool _eq_impl(
std::experimental::extents<OtherIndexType, OtherExtents...> other,
true_type, index_sequence<Idxs...>
) const noexcept {
return _MDSPAN_FOLD_AND(
(__storage().template __get_n<Idxs>() == other.__storage().template __get_n<Idxs>()) /* && ... */
);
}
template <class OtherIndexType, size_t... OtherExtents, size_t... Idxs>
MDSPAN_INLINE_FUNCTION
constexpr bool _not_eq_impl(std::experimental::extents<OtherIndexType, OtherExtents...>, false_type, index_sequence<Idxs...>) const noexcept { return true; }
template <class OtherIndexType, size_t... OtherExtents, size_t... Idxs>
MDSPAN_INLINE_FUNCTION
constexpr bool _not_eq_impl(
std::experimental::extents<OtherIndexType, OtherExtents...> other,
true_type, index_sequence<Idxs...>
) const noexcept {
return _MDSPAN_FOLD_OR(
(__storage().template __get_n<Idxs>() != other.__storage().template __get_n<Idxs>()) /* || ... */
);
}
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
MDSPAN_INLINE_FUNCTION constexpr explicit
extents(__base_t&& __b) noexcept
: __base_t(::std::move(__b))
{ }
#endif
// public interface:
public:
/* Defined above for use in the private code
using rank_type = size_t;
using index_type = ThisIndexType;
*/
MDSPAN_INLINE_FUNCTION
static constexpr rank_type rank() noexcept { return sizeof...(Extents); }
MDSPAN_INLINE_FUNCTION
static constexpr rank_type rank_dynamic() noexcept { return _MDSPAN_FOLD_PLUS_RIGHT((rank_type(Extents == dynamic_extent)), /* + ... + */ 0); }
//--------------------------------------------------------------------------------
// Constructors, Destructors, and Assignment
// Default constructor
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr extents() noexcept = default;
// Converting constructor
MDSPAN_TEMPLATE_REQUIRES(
class OtherIndexType, size_t... OtherExtents,
/* requires */ (
/* multi-stage check to protect from invalid pack expansion when sizes don't match? */
decltype(detail::_check_compatible_extents(
std::integral_constant<bool, sizeof...(Extents) == sizeof...(OtherExtents)>{},
std::integer_sequence<size_t, Extents...>{},
std::integer_sequence<size_t, OtherExtents...>{}
))::value
)
)
MDSPAN_INLINE_FUNCTION
MDSPAN_CONDITIONAL_EXPLICIT(
(((Extents != dynamic_extent) && (OtherExtents == dynamic_extent)) || ...) ||
(std::numeric_limits<index_type>::max() < std::numeric_limits<OtherIndexType>::max()))
constexpr extents(const extents<OtherIndexType, OtherExtents...>& __other)
noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __storage_{
#else
: __base_t(__base_t{__storage_t{
#endif
__other.__storage().__enable_psa_conversion()
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
}})
#endif
{
/* TODO: precondition check
* other.extent(r) equals Er for each r for which Er is a static extent, and
* either
* - sizeof...(OtherExtents) is zero, or
* - other.extent(r) is a representable value of type index_type for all rank index r of other
*/
}
#ifdef __NVCC__
MDSPAN_TEMPLATE_REQUIRES(
class... Integral,
/* requires */ (
// TODO: check whether the other version works with newest NVCC, doesn't with 11.4
// NVCC seems to pick up rank_dynamic from the wrong extents type???
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, Integral, index_type) /* && ... */) &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_nothrow_constructible, index_type, Integral) /* && ... */) &&
// NVCC chokes on the fold thingy here so wrote the workaround
((sizeof...(Integral) == detail::_count_dynamic_extents<Extents...>::val) ||
(sizeof...(Integral) == sizeof...(Extents)))
)
)
#else
MDSPAN_TEMPLATE_REQUIRES(
class... Integral,
/* requires */ (
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, Integral, index_type) /* && ... */) &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_nothrow_constructible, index_type, Integral) /* && ... */) &&
((sizeof...(Integral) == rank_dynamic()) || (sizeof...(Integral) == rank()))
)
)
#endif
MDSPAN_INLINE_FUNCTION
explicit constexpr extents(Integral... exts) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __storage_{
#else
: __base_t(__base_t{typename __base_t::__stored_type{
#endif
std::conditional_t<sizeof...(Integral)==rank_dynamic(),
detail::__construct_psa_from_dynamic_exts_values_tag_t,
detail::__construct_psa_from_all_exts_values_tag_t>(),
static_cast<index_type>(exts)...
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
}})
#endif
{
/* TODO: precondition check
* If sizeof...(IndexTypes) != rank_dynamic() is true, exts_arr[r] equals Er for each r for which Er is a static extent, and
* either
* - sizeof...(exts) == 0 is true, or
* - each element of exts is nonnegative and is a representable value of type index_type.
*/
}
// TODO: check whether this works with newest NVCC, doesn't with 11.4
#ifdef __NVCC__
// NVCC seems to pick up rank_dynamic from the wrong extents type???
// NVCC chokes on the fold thingy here so wrote the workaround
MDSPAN_TEMPLATE_REQUIRES(
class IndexType, size_t N,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, IndexType, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, IndexType) &&
((N == detail::_count_dynamic_extents<Extents...>::val) ||
(N == sizeof...(Extents)))
)
)
#else
MDSPAN_TEMPLATE_REQUIRES(
class IndexType, size_t N,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, IndexType, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, IndexType) &&
(N == rank() || N == rank_dynamic())
)
)
#endif
MDSPAN_CONDITIONAL_EXPLICIT(N != rank_dynamic())
MDSPAN_INLINE_FUNCTION
constexpr
extents(std::array<IndexType, N> const& exts) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __storage_{
#else
: __base_t(__base_t{typename __base_t::__stored_type{
#endif
std::conditional_t<N==rank_dynamic(),
detail::__construct_psa_from_dynamic_exts_array_tag_t<0>,
detail::__construct_psa_from_all_exts_array_tag_t>(),
std::array<IndexType,N>{exts}
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
}})
#endif
{
/* TODO: precondition check
* If N != rank_dynamic() is true, exts[r] equals Er for each r for which Er is a static extent, and
* either
* - N is zero, or
* - exts[r] is nonnegative and is a representable value of type index_type for all rank index r
*/
}
#ifdef __cpp_lib_span
// TODO: check whether the below works with newest NVCC, doesn't with 11.4
#ifdef __NVCC__
// NVCC seems to pick up rank_dynamic from the wrong extents type???
// NVCC chokes on the fold thingy here so wrote the workaround
MDSPAN_TEMPLATE_REQUIRES(
class IndexType, size_t N,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, IndexType, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, IndexType) &&
((N == detail::_count_dynamic_extents<Extents...>::val) ||
(N == sizeof...(Extents)))
)
)
#else
MDSPAN_TEMPLATE_REQUIRES(
class IndexType, size_t N,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, IndexType, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, IndexType) &&
(N == rank() || N == rank_dynamic())
)
)
#endif
MDSPAN_CONDITIONAL_EXPLICIT(N != rank_dynamic())
MDSPAN_INLINE_FUNCTION
constexpr
extents(std::span<IndexType, N> exts) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __storage_{
#else
: __base_t(__base_t{typename __base_t::__stored_type{
#endif
std::conditional_t<N==rank_dynamic(),
detail::__construct_psa_from_dynamic_exts_array_tag_t<0>,
detail::__construct_psa_from_all_exts_array_tag_t>(),
exts
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
}})
#endif
{
/* TODO: precondition check
* If N != rank_dynamic() is true, exts[r] equals Er for each r for which Er is a static extent, and
* either
* - N is zero, or
* - exts[r] is nonnegative and is a representable value of type index_type for all rank index r
*/
}
#endif
// Need this constructor for some submdspan implementation stuff
// for the layout_stride case where I use an extents object for strides
MDSPAN_INLINE_FUNCTION
constexpr explicit
extents(__storage_t const& sto ) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __storage_{
#else
: __base_t(__base_t{
#endif
sto
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
})
#endif
{ }
//--------------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION
static constexpr
size_t static_extent(size_t n) noexcept {
// Can't do assert here since that breaks true constexpr ness
// assert(n<rank());
return _static_extent_impl(n, std::make_integer_sequence<size_t, sizeof...(Extents)>{});
}
MDSPAN_INLINE_FUNCTION
constexpr
index_type extent(size_t n) const noexcept {
// Can't do assert here since that breaks true constexpr ness
// assert(n<rank());
return __storage().__get(n);
}
//--------------------------------------------------------------------------------
template<class OtherIndexType, size_t... RHS>
MDSPAN_INLINE_FUNCTION
friend constexpr bool operator==(extents const& lhs, extents<OtherIndexType, RHS...> const& rhs) noexcept {
return lhs._eq_impl(
rhs, std::integral_constant<bool, (sizeof...(RHS) == rank())>{},
make_index_sequence<sizeof...(RHS)>{}
);
}
#if !(MDSPAN_HAS_CXX_20)
template<class OtherIndexType, size_t... RHS>
MDSPAN_INLINE_FUNCTION
friend constexpr bool operator!=(extents const& lhs, extents<OtherIndexType, RHS...> const& rhs) noexcept {
return lhs._not_eq_impl(
rhs, std::integral_constant<bool, (sizeof...(RHS) == rank())>{},
make_index_sequence<sizeof...(RHS)>{}
);
}
#endif
// End of public interface
public: // (but not really)
MDSPAN_INLINE_FUNCTION static constexpr
extents __make_extents_impl(detail::__partially_static_sizes<index_type, size_t,Extents...>&& __bs) noexcept {
// This effectively amounts to a sideways cast that can be done in a constexpr
// context, but we have to do it to handle the case where the extents and the
// strides could accidentally end up with the same types in their hierarchies
// somehow (which would cause layout_stride::mapping to not be standard_layout)
return extents(
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
__base_t{
#endif
::std::move(__bs.template __with_tag<detail::__extents_tag>())
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#endif
);
}
template <size_t N>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr
index_type __extent() const noexcept {
return __storage().template __get_n<N>();
}
template <size_t N, size_t Default=dynamic_extent>
MDSPAN_INLINE_FUNCTION
static constexpr
index_type __static_extent() noexcept {
return __storage_t::template __get_static_n<N, Default>();
}
};
namespace detail {
template <class IndexType, size_t Rank, class Extents = ::std::experimental::extents<IndexType>>
struct __make_dextents;
template <class IndexType, size_t Rank, size_t... ExtentsPack>
struct __make_dextents<IndexType, Rank, ::std::experimental::extents<IndexType, ExtentsPack...>> {
using type = typename __make_dextents<IndexType, Rank - 1,
::std::experimental::extents<IndexType, ::std::experimental::dynamic_extent, ExtentsPack...>>::type;
};
template <class IndexType, size_t... ExtentsPack>
struct __make_dextents<IndexType, 0, ::std::experimental::extents<IndexType, ExtentsPack...>> {
using type = ::std::experimental::extents<IndexType, ExtentsPack...>;
};
} // end namespace detail
template <class IndexType, size_t Rank>
using dextents = typename detail::__make_dextents<IndexType, Rank>::type;
#if defined(_MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION)
template <class... IndexTypes>
extents(IndexTypes...)
-> extents<size_t, detail::__make_dynamic_extent<IndexTypes>()...>;
#endif
namespace detail {
template <class T>
struct __is_extents : ::std::false_type {};
template <class IndexType, size_t... ExtentsPack>
struct __is_extents<::std::experimental::extents<IndexType, ExtentsPack...>> : ::std::true_type {};
template <class T>
static constexpr bool __is_extents_v = __is_extents<T>::value;
template <typename Extents>
struct __extents_to_partially_static_sizes;
template <class IndexType, size_t... ExtentsPack>
struct __extents_to_partially_static_sizes<::std::experimental::extents<IndexType, ExtentsPack...>> {
using type = detail::__partially_static_sizes<
typename ::std::experimental::extents<IndexType, ExtentsPack...>::index_type, size_t,
ExtentsPack...>;
};
template <typename Extents>
using __extents_to_partially_static_sizes_t = typename __extents_to_partially_static_sizes<Extents>::type;
} // end namespace detail
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/default_accessor.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
#include <cstddef> // size_t
namespace std {
namespace experimental {
template <class ElementType>
struct default_accessor {
using offset_policy = default_accessor;
using element_type = ElementType;
using reference = ElementType&;
using data_handle_type = ElementType*;
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr default_accessor() noexcept = default;
MDSPAN_TEMPLATE_REQUIRES(
class OtherElementType,
/* requires */ (
_MDSPAN_TRAIT(is_convertible, OtherElementType(*)[], element_type(*)[])
)
)
MDSPAN_INLINE_FUNCTION
constexpr default_accessor(default_accessor<OtherElementType>) noexcept {}
MDSPAN_INLINE_FUNCTION
constexpr data_handle_type
offset(data_handle_type p, size_t i) const noexcept {
return p + i;
}
MDSPAN_FORCE_INLINE_FUNCTION
constexpr reference access(data_handle_type p, size_t i) const noexcept {
return p[i];
}
};
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/layout_left.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
#include "trait_backports.hpp"
#include "extents.hpp"
namespace std {
namespace experimental {
//==============================================================================
template <class Extents>
class layout_left::mapping {
public:
using extents_type = Extents;
using index_type = typename extents_type::index_type;
using size_type = typename extents_type::size_type;
using rank_type = typename extents_type::rank_type;
using layout_type = layout_left;
private:
static_assert(detail::__is_extents_v<extents_type>, "std::experimental::layout_left::mapping must be instantiated with a specialization of std::experimental::extents.");
template <class>
friend class mapping;
// i0+(i1 + E(1)*(i2 + E(2)*i3))
template <size_t r, size_t Rank>
struct __rank_count {};
template <size_t r, size_t Rank, class I, class... Indices>
constexpr index_type __compute_offset(
__rank_count<r,Rank>, const I& i, Indices... idx) const {
return __compute_offset(__rank_count<r+1,Rank>(), idx...) *
__extents.template __extent<r>() + i;
}
template<class I>
constexpr index_type __compute_offset(
__rank_count<extents_type::rank()-1,extents_type::rank()>, const I& i) const {
return i;
}
constexpr index_type __compute_offset(__rank_count<0,0>) const { return 0; }
public:
//--------------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mapping() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mapping(mapping const&) noexcept = default;
constexpr mapping(extents_type const& __exts) noexcept
:__extents(__exts)
{ }
MDSPAN_TEMPLATE_REQUIRES(
class OtherExtents,
/* requires */ (
_MDSPAN_TRAIT(is_constructible, extents_type, OtherExtents)
)
)
MDSPAN_CONDITIONAL_EXPLICIT((!is_convertible<OtherExtents, extents_type>::value)) // needs two () due to comma
MDSPAN_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
mapping(mapping<OtherExtents> const& other) noexcept // NOLINT(google-explicit-constructor)
:__extents(other.extents())
{
/*
* TODO: check precondition
* other.required_span_size() is a representable value of type index_type
*/
}
MDSPAN_TEMPLATE_REQUIRES(
class OtherExtents,
/* requires */ (
_MDSPAN_TRAIT(is_constructible, extents_type, OtherExtents) &&
(extents_type::rank() <= 1)
)
)
MDSPAN_CONDITIONAL_EXPLICIT((!is_convertible<OtherExtents, extents_type>::value)) // needs two () due to comma
MDSPAN_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
mapping(layout_right::mapping<OtherExtents> const& other) noexcept // NOLINT(google-explicit-constructor)
:__extents(other.extents())
{
/*
* TODO: check precondition
* other.required_span_size() is a representable value of type index_type
*/
}
MDSPAN_TEMPLATE_REQUIRES(
class OtherExtents,
/* requires */ (
_MDSPAN_TRAIT(is_constructible, extents_type, OtherExtents)
)
)
MDSPAN_CONDITIONAL_EXPLICIT((extents_type::rank() > 0))
MDSPAN_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
mapping(layout_stride::mapping<OtherExtents> const& other) // NOLINT(google-explicit-constructor)
:__extents(other.extents())
{
/*
* TODO: check precondition
* other.required_span_size() is a representable value of type index_type
*/
#ifndef __CUDA_ARCH__
size_t stride = 1;
for(rank_type r=0; r<__extents.rank(); r++) {
if(stride != other.stride(r))
throw std::runtime_error("Assigning layout_stride to layout_left with invalid strides.");
stride *= __extents.extent(r);
}
#endif
}
MDSPAN_INLINE_FUNCTION_DEFAULTED _MDSPAN_CONSTEXPR_14_DEFAULTED mapping& operator=(mapping const&) noexcept = default;
MDSPAN_INLINE_FUNCTION
constexpr const extents_type& extents() const noexcept {
return __extents;
}
MDSPAN_INLINE_FUNCTION
constexpr index_type required_span_size() const noexcept {
index_type value = 1;
for(rank_type r=0; r<extents_type::rank(); r++) value*=__extents.extent(r);
return value;
}
//--------------------------------------------------------------------------------
MDSPAN_TEMPLATE_REQUIRES(
class... Indices,
/* requires */ (
(sizeof...(Indices) == extents_type::rank()) &&
_MDSPAN_FOLD_AND(
(_MDSPAN_TRAIT(is_convertible, Indices, index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, index_type, Indices))
)
)
)
constexpr index_type operator()(Indices... idxs) const noexcept {
return __compute_offset(__rank_count<0, extents_type::rank()>(), idxs...);
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_unique() noexcept { return true; }
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_exhaustive() noexcept { return true; }
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_strided() noexcept { return true; }
MDSPAN_INLINE_FUNCTION constexpr bool is_unique() const noexcept { return true; }
MDSPAN_INLINE_FUNCTION constexpr bool is_exhaustive() const noexcept { return true; }
MDSPAN_INLINE_FUNCTION constexpr bool is_strided() const noexcept { return true; }
MDSPAN_INLINE_FUNCTION
constexpr index_type stride(rank_type i) const noexcept {
index_type value = 1;
for(rank_type r=0; r<i; r++) value*=__extents.extent(r);
return value;
}
template<class OtherExtents>
MDSPAN_INLINE_FUNCTION
friend constexpr bool operator==(mapping const& lhs, mapping<OtherExtents> const& rhs) noexcept {
return lhs.extents() == rhs.extents();
}
// In C++ 20 the not equal exists if equal is found
#if MDSPAN_HAS_CXX_20
template<class OtherExtents>
MDSPAN_INLINE_FUNCTION
friend constexpr bool operator!=(mapping const& lhs, mapping<OtherExtents> const& rhs) noexcept {
return lhs.extents() != rhs.extents();
}
#endif
// Not really public, but currently needed to implement fully constexpr usable submdspan:
template<size_t N, class SizeType, size_t ... E, size_t ... Idx>
constexpr index_type __get_stride(std::experimental::extents<SizeType, E...>,integer_sequence<size_t, Idx...>) const {
return _MDSPAN_FOLD_TIMES_RIGHT((Idx<N? __extents.template __extent<Idx>():1),1);
}
template<size_t N>
constexpr index_type __stride() const noexcept {
return __get_stride<N>(__extents, make_index_sequence<extents_type::rank()>());
}
private:
_MDSPAN_NO_UNIQUE_ADDRESS extents_type __extents{};
};
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/static_array.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
#include "dynamic_extent.hpp"
#include "trait_backports.hpp"
#include "maybe_static_value.hpp"
#include "standard_layout_static_array.hpp"
#include "type_list.hpp"
// Needs to be after the includes above to work with the single header generator
#if !_MDSPAN_PRESERVE_STANDARD_LAYOUT
#include <cstddef> // size_t
#include <utility> // integer_sequence
#include <array>
namespace std {
namespace experimental {
namespace detail {
//==============================================================================
template <class _T, _T _Val, bool _Mask> struct __mask_element {};
template <class _T, _T... _Result>
struct __mask_sequence_assign_op {
template <_T _V>
__mask_sequence_assign_op<_T, _Result..., _V>
operator=(__mask_element<_T, _V, true>&&);
template <_T _V>
__mask_sequence_assign_op<_T, _Result...>
operator=(__mask_element<_T, _V, false>&&);
using __result = integer_sequence<_T, _Result...>;
};
template <class _Seq, class _Mask>
struct __mask_sequence;
template <class _T, _T... _Vals, bool... _Masks>
struct __mask_sequence<integer_sequence<_T, _Vals...>, integer_sequence<bool, _Masks...>>
{
using type = typename decltype(
_MDSPAN_FOLD_ASSIGN_LEFT(
__mask_sequence_assign_op<_T>{}, /* = ... = */ __mask_element<_T, _Vals, _Masks>{}
)
)::__result;
};
//==============================================================================
template <class _T, class _static_t, class _Vals, _static_t __sentinal,
class _Idxs, class _IdxsDynamic, class _IdxsDynamicIdxs>
class __partially_static_array_impl;
template <
class _T, class _static_t,
_static_t... __values_or_sentinals, _static_t __sentinal,
size_t... _Idxs,
size_t... _IdxsDynamic,
size_t... _IdxsDynamicIdxs
>
class __partially_static_array_impl<
_T,
_static_t,
integer_sequence<_static_t, __values_or_sentinals...>,
__sentinal,
integer_sequence<size_t, _Idxs...>,
integer_sequence<size_t, _IdxsDynamic...>,
integer_sequence<size_t, _IdxsDynamicIdxs...>
>
: private __maybe_static_value<_T, _static_t, __values_or_sentinals, __sentinal,
_Idxs>... {
private:
template <size_t _N>
using __base_n = typename __type_at<_N,
__type_list<__maybe_static_value<_T, _static_t, __values_or_sentinals, __sentinal, _Idxs>...>
>::type;
public:
static constexpr auto __size = sizeof...(_Idxs);
static constexpr auto __size_dynamic =
_MDSPAN_FOLD_PLUS_RIGHT(static_cast<int>((__values_or_sentinals == __sentinal)), /* + ... + */ 0);
//--------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __partially_static_array_impl() = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __partially_static_array_impl(
__partially_static_array_impl const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __partially_static_array_impl(
__partially_static_array_impl &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __partially_static_array_impl &
operator=(__partially_static_array_impl const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __partially_static_array_impl &
operator=(__partially_static_array_impl &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__partially_static_array_impl() noexcept = default;
MDSPAN_INLINE_FUNCTION
constexpr __partially_static_array_impl(
__construct_psa_from_all_exts_values_tag_t,
__repeated_with_idxs<_Idxs, _T> const &... __vals) noexcept
: __base_n<_Idxs>(__base_n<_Idxs>{{__vals}})... {}
MDSPAN_INLINE_FUNCTION
constexpr __partially_static_array_impl(
__construct_psa_from_dynamic_exts_values_tag_t,
__repeated_with_idxs<_IdxsDynamicIdxs, _T> const &... __vals) noexcept
: __base_n<_IdxsDynamic>(__base_n<_IdxsDynamic>{{__vals}})... {}
MDSPAN_INLINE_FUNCTION constexpr explicit __partially_static_array_impl(
array<_T, sizeof...(_Idxs)> const& __vals) noexcept
: __partially_static_array_impl(
__construct_psa_from_all_exts_values_tag,
::std::get<_Idxs>(__vals)...) {}
// clang-format off
MDSPAN_FUNCTION_REQUIRES(
(MDSPAN_INLINE_FUNCTION constexpr explicit),
__partially_static_array_impl,
(array<_T, __size_dynamic> const &__vals), noexcept,
/* requires */
(sizeof...(_Idxs) != __size_dynamic)
): __partially_static_array_impl(
__construct_psa_from_dynamic_exts_values_tag,
::std::get<_IdxsDynamicIdxs>(__vals)...) {}
// clang-format on
template <class _U, class _static_u, class _UValsSeq, _static_u __u_sentinal, class _UIdxsSeq,
class _UIdxsDynamicSeq, class _UIdxsDynamicIdxsSeq>
MDSPAN_INLINE_FUNCTION constexpr __partially_static_array_impl(
__partially_static_array_impl<
_U, _static_u, _UValsSeq, __u_sentinal, _UIdxsSeq,
_UIdxsDynamicSeq, _UIdxsDynamicIdxsSeq> const &__rhs) noexcept
: __partially_static_array_impl(
__construct_psa_from_all_exts_values_tag,
__rhs.template __get_n<_Idxs>()...) {}
//--------------------------------------------------------------------------
// See comment in the previous partial specialization for why this is
// necessary. Or just trust me that it's messy.
MDSPAN_FORCE_INLINE_FUNCTION
constexpr __partially_static_array_impl const &__enable_psa_conversion() const
noexcept {
return *this;
}
template <size_t _I>
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T __get_n() const noexcept {
return static_cast<__base_n<_I> const*>(this)->__value();
}
template <class _U, size_t _I>
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 void __set_n(_U&& __rhs) noexcept {
static_cast<__base_n<_I>*>(this)->__set_value((_U&&)__rhs);
}
template <size_t _I, _static_t __default = __sentinal>
MDSPAN_FORCE_INLINE_FUNCTION static constexpr _static_t
__get_static_n() noexcept {
return __base_n<_I>::__static_value == __sentinal ?
__default : __base_n<_I>::__static_value;
}
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T
__get(size_t __n) const noexcept {
return _MDSPAN_FOLD_PLUS_RIGHT(
(_T(_Idxs == __n) * __get_n<_Idxs>()), /* + ... + */ _T(0)
);
}
};
//==============================================================================
template <class _T, class _static_t, class _ValSeq, _static_t __sentinal, class _Idxs = make_index_sequence<_ValSeq::size()>>
struct __partially_static_array_impl_maker;
template <
class _T, class _static_t, _static_t... _Vals, _static_t __sentinal, size_t... _Idxs
>
struct __partially_static_array_impl_maker<
_T, _static_t, integer_sequence<_static_t, _Vals...>, __sentinal, integer_sequence<size_t, _Idxs...>
>
{
using __dynamic_idxs = typename __mask_sequence<
integer_sequence<size_t, _Idxs...>,
integer_sequence<bool, (_Vals == __sentinal)...>
>::type;
using __impl_base =
__partially_static_array_impl<_T, _static_t,
integer_sequence<_static_t, _Vals...>,
__sentinal, integer_sequence<size_t, _Idxs...>,
__dynamic_idxs,
make_index_sequence<__dynamic_idxs::size()>
>;
};
template <class _T, class _static_t, class _ValsSeq, _static_t __sentinal = dynamic_extent>
class __partially_static_array_with_sentinal
: public __partially_static_array_impl_maker<_T, _static_t, _ValsSeq, __sentinal>::__impl_base
{
private:
using __base_t = typename __partially_static_array_impl_maker<_T, _static_t, _ValsSeq, __sentinal>::__impl_base;
public:
using __base_t::__base_t;
};
//==============================================================================
template <class T, class _static_t, _static_t... __values_or_sentinals>
struct __partially_static_sizes :
__partially_static_array_with_sentinal<
T, _static_t, ::std::integer_sequence<_static_t, __values_or_sentinals...>>
{
private:
using __base_t = __partially_static_array_with_sentinal<
T, _static_t, ::std::integer_sequence<_static_t, __values_or_sentinals...>>;
public:
using __base_t::__base_t;
template <class _UTag>
MDSPAN_FORCE_INLINE_FUNCTION constexpr __partially_static_sizes<T, _static_t, __values_or_sentinals...>
__with_tag() const noexcept {
return *this;
}
};
// Tags are needed for the standard layout version, but not here
template <class T, class _static_t, _static_t... __values_or_sentinals>
using __partially_static_sizes_tagged = __partially_static_sizes<T, _static_t, __values_or_sentinals...>;
} // end namespace detail
} // end namespace experimental
} // end namespace std
#endif // !_MDSPAN_PRESERVE_STANDARD_LAYOUT
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/trait_backports.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#ifndef MDSPAN_INCLUDE_EXPERIMENTAL_BITS_TRAIT_BACKPORTS_HPP_
#define MDSPAN_INCLUDE_EXPERIMENTAL_BITS_TRAIT_BACKPORTS_HPP_
#include "macros.hpp"
#include "config.hpp"
#include <type_traits>
#include <utility> // integer_sequence
//==============================================================================
// <editor-fold desc="Variable template trait backports (e.g., is_void_v)"> {{{1
#ifdef _MDSPAN_NEEDS_TRAIT_VARIABLE_TEMPLATE_BACKPORTS
#if _MDSPAN_USE_VARIABLE_TEMPLATES
namespace std {
#define _MDSPAN_BACKPORT_TRAIT(TRAIT) \
template <class... Args> _MDSPAN_INLINE_VARIABLE constexpr auto TRAIT##_v = TRAIT<Args...>::value;
_MDSPAN_BACKPORT_TRAIT(is_assignable)
_MDSPAN_BACKPORT_TRAIT(is_constructible)
_MDSPAN_BACKPORT_TRAIT(is_convertible)
_MDSPAN_BACKPORT_TRAIT(is_default_constructible)
_MDSPAN_BACKPORT_TRAIT(is_trivially_destructible)
_MDSPAN_BACKPORT_TRAIT(is_same)
_MDSPAN_BACKPORT_TRAIT(is_empty)
_MDSPAN_BACKPORT_TRAIT(is_void)
#undef _MDSPAN_BACKPORT_TRAIT
} // end namespace std
#endif // _MDSPAN_USE_VARIABLE_TEMPLATES
#endif // _MDSPAN_NEEDS_TRAIT_VARIABLE_TEMPLATE_BACKPORTS
// </editor-fold> end Variable template trait backports (e.g., is_void_v) }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="integer sequence (ugh...)"> {{{1
#if !defined(_MDSPAN_USE_INTEGER_SEQUENCE) || !_MDSPAN_USE_INTEGER_SEQUENCE
namespace std {
template <class T, T... Vals>
struct integer_sequence {
static constexpr std::size_t size() noexcept { return sizeof...(Vals); }
using value_type = T;
};
template <std::size_t... Vals>
using index_sequence = std::integer_sequence<std::size_t, Vals...>;
namespace __detail {
template <class T, T N, T I, class Result>
struct __make_int_seq_impl;
template <class T, T N, T... Vals>
struct __make_int_seq_impl<T, N, N, integer_sequence<T, Vals...>>
{
using type = integer_sequence<T, Vals...>;
};
template <class T, T N, T I, T... Vals>
struct __make_int_seq_impl<
T, N, I, integer_sequence<T, Vals...>
> : __make_int_seq_impl<T, N, I+1, integer_sequence<T, Vals..., I>>
{ };
} // end namespace __detail
template <class T, T N>
using make_integer_sequence = typename __detail::__make_int_seq_impl<T, N, 0, integer_sequence<T>>::type;
template <std::size_t N>
using make_index_sequence = typename __detail::__make_int_seq_impl<size_t, N, 0, integer_sequence<size_t>>::type;
template <class... T>
using index_sequence_for = make_index_sequence<sizeof...(T)>;
} // end namespace std
#endif
// </editor-fold> end integer sequence (ugh...) }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="standard trait aliases"> {{{1
#if !defined(_MDSPAN_USE_STANDARD_TRAIT_ALIASES) || !_MDSPAN_USE_STANDARD_TRAIT_ALIASES
namespace std {
#define _MDSPAN_BACKPORT_TRAIT_ALIAS(TRAIT) \
template <class... Args> using TRAIT##_t = typename TRAIT<Args...>::type;
_MDSPAN_BACKPORT_TRAIT_ALIAS(remove_cv)
_MDSPAN_BACKPORT_TRAIT_ALIAS(remove_reference)
template <bool _B, class _T=void>
using enable_if_t = typename enable_if<_B, _T>::type;
#undef _MDSPAN_BACKPORT_TRAIT_ALIAS
} // end namespace std
#endif
// </editor-fold> end standard trait aliases }}}1
//==============================================================================
#endif //MDSPAN_INCLUDE_EXPERIMENTAL_BITS_TRAIT_BACKPORTS_HPP_
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/layout_stride.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
#include "static_array.hpp"
#include "extents.hpp"
#include "trait_backports.hpp"
#include "compressed_pair.hpp"
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
# include "no_unique_address.hpp"
#endif
#include <algorithm>
#include <numeric>
#include <array>
#if _MDSPAN_USE_CONCEPTS && MDSPAN_HAS_CXX_20
#include<concepts>
#endif
namespace std {
namespace experimental {
struct layout_left {
template<class Extents>
class mapping;
};
struct layout_right {
template<class Extents>
class mapping;
};
namespace detail {
template<class Layout, class Mapping>
constexpr bool __is_mapping_of =
is_same<typename Layout::template mapping<typename Mapping::extents_type>, Mapping>::value;
#if _MDSPAN_USE_CONCEPTS && MDSPAN_HAS_CXX_20
template<class M>
concept __layout_mapping_alike = requires {
requires __is_extents<typename M::extents_type>::value;
{ M::is_always_strided() } -> same_as<bool>;
{ M::is_always_exhaustive() } -> same_as<bool>;
{ M::is_always_unique() } -> same_as<bool>;
bool_constant<M::is_always_strided()>::value;
bool_constant<M::is_always_exhaustive()>::value;
bool_constant<M::is_always_unique()>::value;
};
#endif
} // namespace detail
struct layout_stride {
template <class Extents>
class mapping
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: private detail::__no_unique_address_emulation<
detail::__compressed_pair<
Extents,
std::array<typename Extents::index_type, Extents::rank()>
>
>
#endif
{
public:
using extents_type = Extents;
using index_type = typename extents_type::index_type;
using size_type = typename extents_type::size_type;
using rank_type = typename extents_type::rank_type;
using layout_type = layout_stride;
// This could be a `requires`, but I think it's better and clearer as a `static_assert`.
static_assert(detail::__is_extents_v<Extents>, "std::experimental::layout_stride::mapping must be instantiated with a specialization of std::experimental::extents.");
private:
//----------------------------------------------------------------------------
using __strides_storage_t = array<index_type, extents_type::rank()>;//::std::experimental::dextents<index_type, extents_type::rank()>;
using __member_pair_t = detail::__compressed_pair<extents_type, __strides_storage_t>;
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
_MDSPAN_NO_UNIQUE_ADDRESS __member_pair_t __members;
#else
using __base_t = detail::__no_unique_address_emulation<__member_pair_t>;
#endif
MDSPAN_FORCE_INLINE_FUNCTION constexpr __strides_storage_t const&
__strides_storage() const noexcept {
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
return __members.__second();
#else
return this->__base_t::__ref().__second();
#endif
}
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 __strides_storage_t&
__strides_storage() noexcept {
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
return __members.__second();
#else
return this->__base_t::__ref().__second();
#endif
}
//----------------------------------------------------------------------------
template <class>
friend class mapping;
//----------------------------------------------------------------------------
// Workaround for non-deducibility of the index sequence template parameter if it's given at the top level
template <class>
struct __deduction_workaround;
template <size_t... Idxs>
struct __deduction_workaround<index_sequence<Idxs...>>
{
template <class OtherExtents>
MDSPAN_INLINE_FUNCTION
static constexpr bool _eq_impl(mapping const& self, mapping<OtherExtents> const& other) noexcept {
return _MDSPAN_FOLD_AND((self.stride(Idxs) == other.stride(Idxs)) /* && ... */);
}
template <class OtherExtents>
MDSPAN_INLINE_FUNCTION
static constexpr bool _not_eq_impl(mapping const& self, mapping<OtherExtents> const& other) noexcept {
return _MDSPAN_FOLD_OR((self.stride(Idxs) != other.stride(Idxs)) /* || ... */);
}
template <class... Integral>
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr size_t _call_op_impl(mapping const& self, Integral... idxs) noexcept {
return _MDSPAN_FOLD_PLUS_RIGHT((idxs * self.stride(Idxs)), /* + ... + */ 0);
}
MDSPAN_INLINE_FUNCTION
static constexpr size_t _req_span_size_impl(mapping const& self) noexcept {
// assumes no negative strides; not sure if I'm allowed to assume that or not
return __impl::_call_op_impl(self, (self.extents().template __extent<Idxs>() - 1)...) + 1;
}
template<class OtherMapping>
MDSPAN_INLINE_FUNCTION
static constexpr const __strides_storage_t fill_strides(const OtherMapping& map) {
return __strides_storage_t{static_cast<index_type>(map.stride(Idxs))...};
}
MDSPAN_INLINE_FUNCTION
static constexpr const __strides_storage_t& fill_strides(const __strides_storage_t& s) {
return s;
}
template<class IntegralType>
MDSPAN_INLINE_FUNCTION
static constexpr const __strides_storage_t fill_strides(const array<IntegralType,extents_type::rank()>& s) {
return __strides_storage_t{static_cast<index_type>(s[Idxs])...};
}
MDSPAN_INLINE_FUNCTION
static constexpr const __strides_storage_t fill_strides(
detail::__extents_to_partially_static_sizes_t<
::std::experimental::dextents<index_type, extents_type::rank()>>&& s) {
return __strides_storage_t{static_cast<index_type>(s.template __get_n<Idxs>())...};
}
template<size_t K>
MDSPAN_INLINE_FUNCTION
static constexpr size_t __return_zero() { return 0; }
template<class Mapping>
MDSPAN_INLINE_FUNCTION
static constexpr typename Mapping::index_type
__OFFSET(const Mapping& m) { return m(__return_zero<Idxs>()...); }
};
// Can't use defaulted parameter in the __deduction_workaround template because of a bug in MSVC warning C4348.
using __impl = __deduction_workaround<make_index_sequence<Extents::rank()>>;
//----------------------------------------------------------------------------
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
MDSPAN_INLINE_FUNCTION constexpr explicit
mapping(__member_pair_t&& __m) : __members(::std::move(__m)) {}
#else
MDSPAN_INLINE_FUNCTION constexpr explicit
mapping(__base_t&& __b) : __base_t(::std::move(__b)) {}
#endif
public: // but not really
MDSPAN_INLINE_FUNCTION
static constexpr mapping
__make_mapping(
detail::__extents_to_partially_static_sizes_t<Extents>&& __exts,
detail::__extents_to_partially_static_sizes_t<
::std::experimental::dextents<index_type, Extents::rank()>>&& __strs
) noexcept {
// call the private constructor we created for this purpose
return mapping(
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
__base_t{
#endif
__member_pair_t(
extents_type::__make_extents_impl(::std::move(__exts)),
__strides_storage_t{__impl::fill_strides(::std::move(__strs))}
)
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#endif
);
}
//----------------------------------------------------------------------------
public:
//--------------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mapping() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED constexpr mapping(mapping const&) noexcept = default;
MDSPAN_TEMPLATE_REQUIRES(
class IntegralTypes,
/* requires */ (
// MSVC 19.32 does not like using index_type here, requires the typename Extents::index_type
// error C2641: cannot deduce template arguments for 'std::experimental::layout_stride::mapping'
_MDSPAN_TRAIT(is_convertible, const remove_const_t<IntegralTypes>&, typename Extents::index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, typename Extents::index_type, const remove_const_t<IntegralTypes>&)
)
)
MDSPAN_INLINE_FUNCTION
constexpr
mapping(
extents_type const& e,
array<IntegralTypes, extents_type::rank()> const& s
) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __members{
#else
: __base_t(__base_t{__member_pair_t(
#endif
e, __strides_storage_t(__impl::fill_strides(s))
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{
/*
* TODO: check preconditions
* - s[i] > 0 is true for all i in the range [0, rank_ ).
* - REQUIRED-SPAN-SIZE(e, s) is a representable value of type index_type ([basic.fundamental]).
* - If rank_ is greater than 0, then there exists a permutation P of the integers in the
* range [0, rank_), such that s[ pi ] >= s[ pi − 1 ] * e.extent( pi − 1 ) is true for
* all i in the range [1, rank_ ), where pi is the ith element of P.
*/
}
#ifdef __cpp_lib_span
MDSPAN_TEMPLATE_REQUIRES(
class IntegralTypes,
/* requires */ (
// MSVC 19.32 does not like using index_type here, requires the typename Extents::index_type
// error C2641: cannot deduce template arguments for 'std::experimental::layout_stride::mapping'
_MDSPAN_TRAIT(is_convertible, const remove_const_t<IntegralTypes>&, typename Extents::index_type) &&
_MDSPAN_TRAIT(is_nothrow_constructible, typename Extents::index_type, const remove_const_t<IntegralTypes>&)
)
)
MDSPAN_INLINE_FUNCTION
constexpr
mapping(
extents_type const& e,
span<IntegralTypes, extents_type::rank()> const& s
) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __members{
#else
: __base_t(__base_t{__member_pair_t(
#endif
e, __strides_storage_t(__impl::fill_strides(s))
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{
/*
* TODO: check preconditions
* - s[i] > 0 is true for all i in the range [0, rank_ ).
* - REQUIRED-SPAN-SIZE(e, s) is a representable value of type index_type ([basic.fundamental]).
* - If rank_ is greater than 0, then there exists a permutation P of the integers in the
* range [0, rank_), such that s[ pi ] >= s[ pi − 1 ] * e.extent( pi − 1 ) is true for
* all i in the range [1, rank_ ), where pi is the ith element of P.
*/
}
#endif // __cpp_lib_span
#if !(_MDSPAN_USE_CONCEPTS && MDSPAN_HAS_CXX_20)
MDSPAN_TEMPLATE_REQUIRES(
class StridedLayoutMapping,
/* requires */ (
_MDSPAN_TRAIT(is_constructible, extents_type, typename StridedLayoutMapping::extents_type) &&
detail::__is_mapping_of<typename StridedLayoutMapping::layout_type, StridedLayoutMapping> &&
StridedLayoutMapping::is_always_unique() &&
StridedLayoutMapping::is_always_strided()
)
)
#else
template<class StridedLayoutMapping>
requires(
detail::__layout_mapping_alike<StridedLayoutMapping> &&
_MDSPAN_TRAIT(is_constructible, extents_type, typename StridedLayoutMapping::extents_type) &&
StridedLayoutMapping::is_always_unique() &&
StridedLayoutMapping::is_always_strided()
)
#endif
MDSPAN_CONDITIONAL_EXPLICIT(
(!is_convertible<typename StridedLayoutMapping::extents_type, extents_type>::value) &&
(detail::__is_mapping_of<layout_left, StridedLayoutMapping> ||
detail::__is_mapping_of<layout_right, StridedLayoutMapping> ||
detail::__is_mapping_of<layout_stride, StridedLayoutMapping>)
) // needs two () due to comma
MDSPAN_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14
mapping(StridedLayoutMapping const& other) noexcept // NOLINT(google-explicit-constructor)
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __members{
#else
: __base_t(__base_t{__member_pair_t(
#endif
other.extents(), __strides_storage_t(__impl::fill_strides(other))
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{
/*
* TODO: check preconditions
* - other.stride(i) > 0 is true for all i in the range [0, rank_ ).
* - other.required_span_size() is a representable value of type index_type ([basic.fundamental]).
* - OFFSET(other) == 0
*/
}
//--------------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION_DEFAULTED _MDSPAN_CONSTEXPR_14_DEFAULTED
mapping& operator=(mapping const&) noexcept = default;
MDSPAN_INLINE_FUNCTION constexpr const extents_type& extents() const noexcept {
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
return __members.__first();
#else
return this->__base_t::__ref().__first();
#endif
};
MDSPAN_INLINE_FUNCTION
constexpr array< index_type, extents_type::rank() > strides() const noexcept {
return __strides_storage();
}
MDSPAN_INLINE_FUNCTION
constexpr index_type required_span_size() const noexcept {
index_type span_size = 1;
for(unsigned r = 0; r < extents_type::rank(); r++) {
// Return early if any of the extents are zero
if(extents().extent(r)==0) return 0;
span_size = std::max(span_size, static_cast<index_type>(extents().extent(r) * __strides_storage()[r]));
}
return span_size;
}
MDSPAN_TEMPLATE_REQUIRES(
class... Indices,
/* requires */ (
sizeof...(Indices) == Extents::rank() &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_convertible, Indices, index_type) /*&& ...*/ ) &&
_MDSPAN_FOLD_AND(_MDSPAN_TRAIT(is_nothrow_constructible, index_type, Indices) /*&& ...*/)
)
)
MDSPAN_FORCE_INLINE_FUNCTION
constexpr size_t operator()(Indices... idxs) const noexcept {
return __impl::_call_op_impl(*this, static_cast<index_type>(idxs)...);
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_unique() noexcept { return true; }
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_exhaustive() noexcept {
return false;
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_always_strided() noexcept { return true; }
MDSPAN_INLINE_FUNCTION static constexpr bool is_unique() noexcept { return true; }
MDSPAN_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 bool is_exhaustive() const noexcept {
// TODO @testing test layout_stride is_exhaustive()
// FIXME CUDA
#ifdef __CUDA_ARCH__
return false;
#else
auto rem = array<size_t, Extents::rank()>{ };
std::iota(rem.begin(), rem.end(), size_t(0));
auto next_idx_iter = std::find_if(
rem.begin(), rem.end(),
[&](size_t i) { return this->stride(i) == 1; }
);
if(next_idx_iter != rem.end()) {
size_t prev_stride_times_prev_extent =
this->extents().extent(*next_idx_iter) * this->stride(*next_idx_iter);
// "remove" the index
constexpr auto removed_index_sentinel = static_cast<size_t>(-1);
*next_idx_iter = removed_index_sentinel;
size_t found_count = 1;
while (found_count != Extents::rank()) {
next_idx_iter = std::find_if(
rem.begin(), rem.end(),
[&](size_t i) {
return i != removed_index_sentinel
&& static_cast<size_t>(this->extents().extent(i)) == prev_stride_times_prev_extent;
}
);
if (next_idx_iter != rem.end()) {
// "remove" the index
*next_idx_iter = removed_index_sentinel;
++found_count;
prev_stride_times_prev_extent = stride(*next_idx_iter) * this->extents().extent(*next_idx_iter);
} else { break; }
}
return found_count == Extents::rank();
}
return false;
#endif
}
MDSPAN_INLINE_FUNCTION static constexpr bool is_strided() noexcept { return true; }
MDSPAN_INLINE_FUNCTION
constexpr index_type stride(rank_type r) const noexcept {
return __strides_storage()[r];
}
#if !(_MDSPAN_USE_CONCEPTS && MDSPAN_HAS_CXX_20)
MDSPAN_TEMPLATE_REQUIRES(
class StridedLayoutMapping,
/* requires */ (
detail::__is_mapping_of<typename StridedLayoutMapping::layout_type, StridedLayoutMapping> &&
(extents_type::rank() == StridedLayoutMapping::extents_type::rank()) &&
StridedLayoutMapping::is_always_strided()
)
)
#else
template<class StridedLayoutMapping>
requires(
detail::__layout_mapping_alike<StridedLayoutMapping> &&
(extents_type::rank() == StridedLayoutMapping::extents_type::rank()) &&
StridedLayoutMapping::is_always_strided()
)
#endif
MDSPAN_INLINE_FUNCTION
friend constexpr bool operator==(const mapping& x, const StridedLayoutMapping& y) noexcept {
bool strides_match = true;
for(rank_type r = 0; r < extents_type::rank(); r++)
strides_match = strides_match && (x.stride(r) == y.stride(r));
return (x.extents() == y.extents()) &&
(__impl::__OFFSET(y)== static_cast<typename StridedLayoutMapping::index_type>(0)) &&
strides_match;
}
// This one is not technically part of the proposal. Just here to make implementation a bit more optimal hopefully
MDSPAN_TEMPLATE_REQUIRES(
class OtherExtents,
/* requires */ (
(extents_type::rank() == OtherExtents::rank())
)
)
MDSPAN_INLINE_FUNCTION
friend constexpr bool operator==(mapping const& lhs, mapping<OtherExtents> const& rhs) noexcept {
return __impl::_eq_impl(lhs, rhs);
}
#if !MDSPAN_HAS_CXX_20
MDSPAN_TEMPLATE_REQUIRES(
class StridedLayoutMapping,
/* requires */ (
detail::__is_mapping_of<typename StridedLayoutMapping::layout_type, StridedLayoutMapping> &&
(extents_type::rank() == StridedLayoutMapping::extents_type::rank()) &&
StridedLayoutMapping::is_always_strided()
)
)
MDSPAN_INLINE_FUNCTION
friend constexpr bool operator!=(const mapping& x, const StridedLayoutMapping& y) noexcept {
return not (x == y);
}
MDSPAN_TEMPLATE_REQUIRES(
class OtherExtents,
/* requires */ (
(extents_type::rank() == OtherExtents::rank())
)
)
MDSPAN_INLINE_FUNCTION
friend constexpr bool operator!=(mapping const& lhs, mapping<OtherExtents> const& rhs) noexcept {
return __impl::_not_eq_impl(lhs, rhs);
}
#endif
};
};
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/standard_layout_static_array.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "macros.hpp"
#include "dynamic_extent.hpp"
#include "trait_backports.hpp" // enable_if
#include "compressed_pair.hpp"
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
# include "no_unique_address.hpp"
#endif
#include <array>
#ifdef __cpp_lib_span
#include <span>
#endif
#include <utility> // integer_sequence
#include <cstddef>
namespace std {
namespace experimental {
namespace detail {
//==============================================================================
_MDSPAN_INLINE_VARIABLE constexpr struct
__construct_psa_from_dynamic_exts_values_tag_t {
} __construct_psa_from_dynamic_exts_values_tag = {};
_MDSPAN_INLINE_VARIABLE constexpr struct
__construct_psa_from_all_exts_values_tag_t {
} __construct_psa_from_all_exts_values_tag = {};
struct __construct_psa_from_all_exts_array_tag_t {};
template <size_t _N = 0> struct __construct_psa_from_dynamic_exts_array_tag_t {};
//==============================================================================
template <size_t _I, class _T> using __repeated_with_idxs = _T;
//==============================================================================
#if _MDSPAN_PRESERVE_STANDARD_LAYOUT
/**
* PSA = "partially static array"
*
* @tparam _T
* @tparam _ValsSeq
* @tparam __sentinal
*/
template <class _Tag, class _T, class _static_t, class _ValsSeq, _static_t __sentinal = static_cast<_static_t>(dynamic_extent),
class _IdxsSeq = make_index_sequence<_ValsSeq::size()>>
struct __standard_layout_psa;
//==============================================================================
// Static case
template <class _Tag, class _T, class _static_t, _static_t __value, _static_t... __values_or_sentinals,
_static_t __sentinal, size_t _Idx, size_t... _Idxs>
struct __standard_layout_psa<
_Tag, _T, _static_t, integer_sequence<_static_t, __value, __values_or_sentinals...>,
__sentinal, integer_sequence<size_t, _Idx, _Idxs...>>
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: private __no_unique_address_emulation<__standard_layout_psa<
_Tag, _T, _static_t, integer_sequence<_static_t, __values_or_sentinals...>, __sentinal,
integer_sequence<size_t, _Idxs...>>>
#endif
{
//--------------------------------------------------------------------------
using __next_t =
__standard_layout_psa<_Tag, _T, _static_t,
integer_sequence<_static_t, __values_or_sentinals...>,
__sentinal, integer_sequence<size_t, _Idxs...>>;
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
_MDSPAN_NO_UNIQUE_ADDRESS __next_t __next_;
#else
using __base_t = __no_unique_address_emulation<__next_t>;
#endif
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 __next_t &__next() noexcept {
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
return __next_;
#else
return this->__base_t::__ref();
#endif
}
MDSPAN_FORCE_INLINE_FUNCTION constexpr __next_t const &__next() const noexcept {
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
return __next_;
#else
return this->__base_t::__ref();
#endif
}
static constexpr auto __size = sizeof...(_Idxs) + 1;
static constexpr auto __size_dynamic = __next_t::__size_dynamic;
//--------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __standard_layout_psa() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __standard_layout_psa(__standard_layout_psa const &) noexcept =
default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __standard_layout_psa(__standard_layout_psa &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __standard_layout_psa &
operator=(__standard_layout_psa const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __standard_layout_psa &
operator=(__standard_layout_psa &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__standard_layout_psa() noexcept = default;
//--------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION
constexpr __standard_layout_psa(
__construct_psa_from_all_exts_values_tag_t, _T const & /*__val*/,
__repeated_with_idxs<_Idxs, _T> const &... __vals) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __next_{
#else
: __base_t(__base_t{__next_t(
#endif
__construct_psa_from_all_exts_values_tag, __vals...
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{ }
template <class... _Ts>
MDSPAN_INLINE_FUNCTION constexpr __standard_layout_psa(
__construct_psa_from_dynamic_exts_values_tag_t,
_Ts const &... __vals) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __next_{
#else
: __base_t(__base_t{__next_t(
#endif
__construct_psa_from_dynamic_exts_values_tag, __vals...
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{ }
template <class _U, size_t _N>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
array<_U, _N> const &__vals) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __next_{
#else
: __base_t(__base_t{__next_t(
#endif
__vals
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{ }
template <class _U, size_t _NStatic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_all_exts_array_tag_t const & __tag,
array<_U, _NStatic> const &__vals) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __next_{
#else
: __base_t(__base_t{__next_t(
#endif
__tag, __vals
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{ }
template <class _U, size_t _IDynamic, size_t _NDynamic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_dynamic_exts_array_tag_t<_IDynamic> __tag,
array<_U, _NDynamic> const &__vals) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __next_{
#else
: __base_t(__base_t{__next_t(
#endif
__tag, __vals
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{ }
#ifdef __cpp_lib_span
template <class _U, size_t _N>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
span<_U, _N> const &__vals) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __next_{
#else
: __base_t(__base_t{__next_t(
#endif
__vals
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{ }
template <class _U, size_t _NStatic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_all_exts_array_tag_t const & __tag,
span<_U, _NStatic> const &__vals) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __next_{
#else
: __base_t(__base_t{__next_t(
#endif
__tag, __vals
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{ }
template <class _U, size_t _IDynamic, size_t _NDynamic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_dynamic_exts_array_tag_t<_IDynamic> __tag,
span<_U, _NDynamic> const &__vals) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __next_{
#else
: __base_t(__base_t{__next_t(
#endif
__tag, __vals
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{ }
#endif
template <class _UTag, class _U, class _static_U, class _UValsSeq, _static_U __u_sentinal,
class _IdxsSeq>
MDSPAN_INLINE_FUNCTION constexpr __standard_layout_psa(
__standard_layout_psa<_UTag, _U, _static_U, _UValsSeq, __u_sentinal, _IdxsSeq> const
&__rhs) noexcept
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
: __next_{
#else
: __base_t(__base_t{__next_t(
#endif
__rhs.__next()
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
}
#else
)})
#endif
{ }
//--------------------------------------------------------------------------
// See https://godbolt.org/z/_KSDNX for a summary-by-example of why this is
// necessary. We're using inheritance here instead of an alias template
// because we have to deduce __values_or_sentinals in several places, and
// alias templates don't permit that in this context.
MDSPAN_FORCE_INLINE_FUNCTION
constexpr __standard_layout_psa const &__enable_psa_conversion() const
noexcept {
return *this;
}
template <size_t _I, enable_if_t<_I != _Idx, int> = 0>
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T __get_n() const noexcept {
return __next().template __get_n<_I>();
}
template <size_t _I, enable_if_t<_I == _Idx, int> = 1>
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T __get_n() const noexcept {
return __value;
}
template <size_t _I, enable_if_t<_I != _Idx, int> = 0>
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 void
__set_n(_T const &__rhs) noexcept {
__next().__set_value(__rhs);
}
template <size_t _I, enable_if_t<_I == _Idx, int> = 1>
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 void
__set_n(_T const &) noexcept {
// Don't assert here because that would break constexpr. This better
// not change anything, though
}
template <size_t _I, enable_if_t<_I == _Idx, _static_t> = __sentinal>
MDSPAN_FORCE_INLINE_FUNCTION static constexpr _static_t __get_static_n() noexcept {
return __value;
}
template <size_t _I, enable_if_t<_I != _Idx, _static_t> __default = __sentinal>
MDSPAN_FORCE_INLINE_FUNCTION static constexpr _static_t __get_static_n() noexcept {
return __next_t::template __get_static_n<_I, __default>();
}
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T __get(size_t __n) const noexcept {
return __value * (_T(_Idx == __n)) + __next().__get(__n);
}
//--------------------------------------------------------------------------
};
//==============================================================================
// Dynamic case, __next_t may or may not be empty
template <class _Tag, class _T, class _static_t, _static_t __sentinal, _static_t... __values_or_sentinals,
size_t _Idx, size_t... _Idxs>
struct __standard_layout_psa<
_Tag, _T, _static_t, integer_sequence<_static_t, __sentinal, __values_or_sentinals...>,
__sentinal, integer_sequence<size_t, _Idx, _Idxs...>> {
//--------------------------------------------------------------------------
using __next_t =
__standard_layout_psa<_Tag, _T, _static_t,
integer_sequence<_static_t, __values_or_sentinals...>,
__sentinal, integer_sequence<size_t, _Idxs...>>;
using __value_pair_t = __compressed_pair<_T, __next_t>;
__value_pair_t __value_pair;
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 __next_t &__next() noexcept {
return __value_pair.__second();
}
MDSPAN_FORCE_INLINE_FUNCTION constexpr __next_t const &__next() const noexcept {
return __value_pair.__second();
}
static constexpr auto __size = sizeof...(_Idxs) + 1;
static constexpr auto __size_dynamic = 1 + __next_t::__size_dynamic;
//--------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __standard_layout_psa() noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __standard_layout_psa(__standard_layout_psa const &) noexcept =
default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __standard_layout_psa(__standard_layout_psa &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __standard_layout_psa &
operator=(__standard_layout_psa const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __standard_layout_psa &
operator=(__standard_layout_psa &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__standard_layout_psa() noexcept = default;
//--------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION
constexpr __standard_layout_psa(
__construct_psa_from_all_exts_values_tag_t, _T const &__val,
__repeated_with_idxs<_Idxs, _T> const &... __vals) noexcept
: __value_pair(__val,
__next_t(__construct_psa_from_all_exts_values_tag,
__vals...)) {}
template <class... _Ts>
MDSPAN_INLINE_FUNCTION constexpr __standard_layout_psa(
__construct_psa_from_dynamic_exts_values_tag_t, _T const &__val,
_Ts const &... __vals) noexcept
: __value_pair(__val,
__next_t(__construct_psa_from_dynamic_exts_values_tag,
__vals...)) {}
template <class _U, size_t _N>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
array<_U, _N> const &__vals) noexcept
: __value_pair(::std::get<_Idx>(__vals), __vals) {}
template <class _U, size_t _NStatic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_all_exts_array_tag_t __tag,
array<_U, _NStatic> const &__vals) noexcept
: __value_pair(
::std::get<_Idx>(__vals),
__next_t(__tag,
__vals)) {}
template <class _U, size_t _IDynamic, size_t _NDynamic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_dynamic_exts_array_tag_t<_IDynamic>,
array<_U, _NDynamic> const &__vals) noexcept
: __value_pair(
::std::get<_IDynamic>(__vals),
__next_t(__construct_psa_from_dynamic_exts_array_tag_t<_IDynamic + 1>{},
__vals)) {}
#ifdef __cpp_lib_span
template <class _U, size_t _N>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
span<_U, _N> const &__vals) noexcept
: __value_pair(__vals[_Idx], __vals) {}
template <class _U, size_t _NStatic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_all_exts_array_tag_t __tag,
span<_U, _NStatic> const &__vals) noexcept
: __value_pair(
__vals[_Idx],
__next_t(__tag,
__vals)) {}
template <class _U, size_t _IDynamic, size_t _NDynamic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_dynamic_exts_array_tag_t<_IDynamic>,
span<_U, _NDynamic> const &__vals) noexcept
: __value_pair(
__vals[_IDynamic],
__next_t(__construct_psa_from_dynamic_exts_array_tag_t<_IDynamic + 1>{},
__vals)) {}
#endif
template <class _UTag, class _U, class _static_U, class _UValsSeq, _static_U __u_sentinal,
class _UIdxsSeq>
MDSPAN_INLINE_FUNCTION constexpr __standard_layout_psa(
__standard_layout_psa<_UTag, _U, _static_U, _UValsSeq, __u_sentinal, _UIdxsSeq> const
&__rhs) noexcept
: __value_pair(__rhs.template __get_n<_Idx>(), __rhs.__next()) {}
//--------------------------------------------------------------------------
// See comment in the previous partial specialization for why this is
// necessary. Or just trust me that it's messy.
MDSPAN_FORCE_INLINE_FUNCTION
constexpr __standard_layout_psa const &__enable_psa_conversion() const
noexcept {
return *this;
}
template <size_t _I, enable_if_t<_I != _Idx, int> = 0>
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T __get_n() const noexcept {
return __next().template __get_n<_I>();
}
template <size_t _I, enable_if_t<_I == _Idx, int> = 1>
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T __get_n() const noexcept {
return __value_pair.__first();
}
template <size_t _I, enable_if_t<_I != _Idx, int> = 0>
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 void
__set_n(_T const &__rhs) noexcept {
__next().__set_value(__rhs);
}
template <size_t _I, enable_if_t<_I == _Idx, int> = 1>
MDSPAN_FORCE_INLINE_FUNCTION _MDSPAN_CONSTEXPR_14 void
__set_n(_T const &__rhs) noexcept {
__value_pair.__first() = __rhs;
}
template <size_t _I, enable_if_t<_I == _Idx, _static_t> __default = __sentinal>
MDSPAN_FORCE_INLINE_FUNCTION static constexpr _static_t __get_static_n() noexcept {
return __default;
}
template <size_t _I, enable_if_t<_I != _Idx, _static_t> __default = __sentinal>
MDSPAN_FORCE_INLINE_FUNCTION static constexpr _static_t __get_static_n() noexcept {
return __next_t::template __get_static_n<_I, __default>();
}
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T __get(size_t __n) const noexcept {
return __value_pair.__first() * (_T(_Idx == __n)) + __next().__get(__n);
}
//--------------------------------------------------------------------------
};
// empty/terminal case
template <class _Tag, class _T, class _static_t, _static_t __sentinal>
struct __standard_layout_psa<_Tag, _T, _static_t, integer_sequence<_static_t>, __sentinal,
integer_sequence<size_t>> {
//--------------------------------------------------------------------------
static constexpr auto __size = 0;
static constexpr auto __size_dynamic = 0;
//--------------------------------------------------------------------------
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __standard_layout_psa() noexcept
#if defined(__clang__) || defined(_MDSPAN_DEFAULTED_CONSTRUCTORS_INHERITANCE_WORKAROUND)
// As far as I can tell, there appears to be a bug in clang that's causing
// this to be non-constexpr when it's defaulted.
{ }
#else
= default;
#endif
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __standard_layout_psa(__standard_layout_psa const &) noexcept =
default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __standard_layout_psa(__standard_layout_psa &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __standard_layout_psa &
operator=(__standard_layout_psa const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __standard_layout_psa &
operator=(__standard_layout_psa &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__standard_layout_psa() noexcept = default;
MDSPAN_INLINE_FUNCTION
constexpr __standard_layout_psa(
__construct_psa_from_all_exts_values_tag_t) noexcept {}
template <class... _Ts>
MDSPAN_INLINE_FUNCTION constexpr __standard_layout_psa(
__construct_psa_from_dynamic_exts_values_tag_t) noexcept {}
template <class _U, size_t _N>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
array<_U, _N> const &) noexcept {}
template <class _U, size_t _NStatic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_all_exts_array_tag_t,
array<_U, _NStatic> const &) noexcept {}
template <class _U, size_t _IDynamic, size_t _NDynamic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_dynamic_exts_array_tag_t<_IDynamic>,
array<_U, _NDynamic> const &) noexcept {}
#ifdef __cpp_lib_span
template <class _U, size_t _N>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
span<_U, _N> const &) noexcept {}
template <class _U, size_t _NStatic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_all_exts_array_tag_t,
span<_U, _NStatic> const &) noexcept {}
template <class _U, size_t _IDynamic, size_t _NDynamic>
MDSPAN_INLINE_FUNCTION constexpr explicit __standard_layout_psa(
__construct_psa_from_dynamic_exts_array_tag_t<_IDynamic>,
span<_U, _NDynamic> const &) noexcept {}
#endif
template <class _UTag, class _U, class _static_U, class _UValsSeq, _static_U __u_sentinal,
class _UIdxsSeq>
MDSPAN_INLINE_FUNCTION constexpr __standard_layout_psa(
__standard_layout_psa<_UTag, _U, _static_U, _UValsSeq, __u_sentinal, _UIdxsSeq> const&) noexcept {}
// See comment in the previous partial specialization for why this is
// necessary. Or just trust me that it's messy.
MDSPAN_FORCE_INLINE_FUNCTION
constexpr __standard_layout_psa const &__enable_psa_conversion() const
noexcept {
return *this;
}
MDSPAN_FORCE_INLINE_FUNCTION constexpr _T __get(size_t /*n*/) const noexcept {
return 0;
}
};
// Same thing, but with a disambiguator so that same-base issues doesn't cause
// a loss of standard-layout-ness.
template <class _Tag, class T, class _static_t, _static_t... __values_or_sentinals>
struct __partially_static_sizes_tagged
: __standard_layout_psa<
_Tag, T, _static_t,
integer_sequence<_static_t, __values_or_sentinals...>> {
using __tag_t = _Tag;
using __psa_impl_t = __standard_layout_psa<
_Tag, T, _static_t, integer_sequence<_static_t, __values_or_sentinals...>>;
using __psa_impl_t::__psa_impl_t;
#ifdef _MDSPAN_DEFAULTED_CONSTRUCTORS_INHERITANCE_WORKAROUND
MDSPAN_INLINE_FUNCTION
#endif
constexpr __partially_static_sizes_tagged() noexcept
#ifdef _MDSPAN_DEFAULTED_CONSTRUCTORS_INHERITANCE_WORKAROUND
: __psa_impl_t() { }
#else
= default;
#endif
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __partially_static_sizes_tagged(
__partially_static_sizes_tagged const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
constexpr __partially_static_sizes_tagged(
__partially_static_sizes_tagged &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __partially_static_sizes_tagged &
operator=(__partially_static_sizes_tagged const &) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
_MDSPAN_CONSTEXPR_14_DEFAULTED __partially_static_sizes_tagged &
operator=(__partially_static_sizes_tagged &&) noexcept = default;
MDSPAN_INLINE_FUNCTION_DEFAULTED
~__partially_static_sizes_tagged() noexcept = default;
template <class _UTag>
MDSPAN_FORCE_INLINE_FUNCTION constexpr explicit __partially_static_sizes_tagged(
__partially_static_sizes_tagged<_UTag, T, _static_t, __values_or_sentinals...> const& __vals
) noexcept : __psa_impl_t(__vals.__enable_psa_conversion()) { }
};
struct __no_tag {};
template <class T, class _static_t, _static_t... __values_or_sentinals>
struct __partially_static_sizes
: __partially_static_sizes_tagged<__no_tag, T, _static_t, __values_or_sentinals...> {
private:
using __base_t =
__partially_static_sizes_tagged<__no_tag, T, _static_t, __values_or_sentinals...>;
template <class _UTag>
MDSPAN_FORCE_INLINE_FUNCTION constexpr __partially_static_sizes(
__partially_static_sizes_tagged<_UTag, T, _static_t, __values_or_sentinals...>&& __vals
) noexcept : __base_t(::std::move(__vals)) { }
public:
using __base_t::__base_t;
#ifdef _MDSPAN_DEFAULTED_CONSTRUCTORS_INHERITANCE_WORKAROUND
MDSPAN_INLINE_FUNCTION
constexpr __partially_static_sizes() noexcept : __base_t() { }
#endif
template <class _UTag>
MDSPAN_FORCE_INLINE_FUNCTION constexpr __partially_static_sizes_tagged<
_UTag, T, _static_t, __values_or_sentinals...>
__with_tag() const noexcept {
return __partially_static_sizes_tagged<_UTag, T, _static_t, __values_or_sentinals...>(*this);
}
};
#endif // _MDSPAN_PRESERVE_STATIC_LAYOUT
} // end namespace detail
} // end namespace experimental
} // end namespace std
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/config.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#ifndef __has_include
# define __has_include(x) 0
#endif
#if __has_include(<version>)
# include <version>
#else
# include <type_traits>
# include <utility>
#endif
#ifdef _MSVC_LANG
#define _MDSPAN_CPLUSPLUS _MSVC_LANG
#else
#define _MDSPAN_CPLUSPLUS __cplusplus
#endif
#define MDSPAN_CXX_STD_14 201402L
#define MDSPAN_CXX_STD_17 201703L
#define MDSPAN_CXX_STD_20 202002L
#define MDSPAN_HAS_CXX_14 (_MDSPAN_CPLUSPLUS >= MDSPAN_CXX_STD_14)
#define MDSPAN_HAS_CXX_17 (_MDSPAN_CPLUSPLUS >= MDSPAN_CXX_STD_17)
#define MDSPAN_HAS_CXX_20 (_MDSPAN_CPLUSPLUS >= MDSPAN_CXX_STD_20)
static_assert(_MDSPAN_CPLUSPLUS >= MDSPAN_CXX_STD_14, "mdspan requires C++14 or later.");
#ifndef _MDSPAN_COMPILER_CLANG
# if defined(__clang__)
# define _MDSPAN_COMPILER_CLANG __clang__
# endif
#endif
#if !defined(_MDSPAN_COMPILER_MSVC) && !defined(_MDSPAN_COMPILER_MSVC_CLANG)
# if defined(_MSC_VER)
# if !defined(_MDSPAN_COMPILER_CLANG)
# define _MDSPAN_COMPILER_MSVC _MSC_VER
# else
# define _MDSPAN_COMPILER_MSVC_CLANG _MSC_VER
# endif
# endif
#endif
#ifndef _MDSPAN_COMPILER_INTEL
# ifdef __INTEL_COMPILER
# define _MDSPAN_COMPILER_INTEL __INTEL_COMPILER
# endif
#endif
#ifndef _MDSPAN_COMPILER_APPLECLANG
# ifdef __apple_build_version__
# define _MDSPAN_COMPILER_APPLECLANG __apple_build_version__
# endif
#endif
#ifndef _MDSPAN_HAS_CUDA
# if defined(__CUDACC__)
# define _MDSPAN_HAS_CUDA __CUDACC__
# endif
#endif
#ifndef _MDSPAN_HAS_HIP
# if defined(__HIPCC__)
# define _MDSPAN_HAS_HIP __HIPCC__
# endif
#endif
#ifndef __has_cpp_attribute
# define __has_cpp_attribute(x) 0
#endif
#ifndef _MDSPAN_PRESERVE_STANDARD_LAYOUT
// Preserve standard layout by default, but we're not removing the old version
// that turns this off until we're sure this doesn't have an unreasonable cost
// to the compiler or optimizer.
# define _MDSPAN_PRESERVE_STANDARD_LAYOUT 1
#endif
#if !defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
# if MDSPAN_HAS_CXX_20 && (__has_cpp_attribute(no_unique_address) >= 201803L)
# define _MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS 1
# define _MDSPAN_NO_UNIQUE_ADDRESS [[no_unique_address]]
# else
# define _MDSPAN_NO_UNIQUE_ADDRESS
# endif
#endif
// NVCC older than 11.6 chokes on the no-unique-address-emulation
// so just pretend to use it (to avoid the full blown EBO workaround
// which NVCC also doesn't like ...), and leave the macro empty
#ifndef _MDSPAN_NO_UNIQUE_ADDRESS
# if defined(__NVCC__)
# define _MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS 1
# endif
# define _MDSPAN_NO_UNIQUE_ADDRESS
#endif
#ifndef _MDSPAN_USE_CONCEPTS
# if defined(__cpp_concepts) && __cpp_concepts >= 201507L
# define _MDSPAN_USE_CONCEPTS 1
# endif
#endif
#ifndef _MDSPAN_USE_FOLD_EXPRESSIONS
# if (defined(__cpp_fold_expressions) && __cpp_fold_expressions >= 201603L) \
|| (!defined(__cpp_fold_expressions) && MDSPAN_HAS_CXX_17)
# define _MDSPAN_USE_FOLD_EXPRESSIONS 1
# endif
#endif
#ifndef _MDSPAN_USE_INLINE_VARIABLES
# if defined(__cpp_inline_variables) && __cpp_inline_variables >= 201606L \
|| (!defined(__cpp_inline_variables) && MDSPAN_HAS_CXX_17)
# define _MDSPAN_USE_INLINE_VARIABLES 1
# endif
#endif
#ifndef _MDSPAN_NEEDS_TRAIT_VARIABLE_TEMPLATE_BACKPORTS
# if (!(defined(__cpp_lib_type_trait_variable_templates) && __cpp_lib_type_trait_variable_templates >= 201510L) \
|| !MDSPAN_HAS_CXX_17)
# if !(defined(_MDSPAN_COMPILER_APPLECLANG) && MDSPAN_HAS_CXX_17)
# define _MDSPAN_NEEDS_TRAIT_VARIABLE_TEMPLATE_BACKPORTS 1
# endif
# endif
#endif
#ifndef _MDSPAN_USE_VARIABLE_TEMPLATES
# if (defined(__cpp_variable_templates) && __cpp_variable_templates >= 201304 && MDSPAN_HAS_CXX_17) \
|| (!defined(__cpp_variable_templates) && MDSPAN_HAS_CXX_17)
# define _MDSPAN_USE_VARIABLE_TEMPLATES 1
# endif
#endif // _MDSPAN_USE_VARIABLE_TEMPLATES
#ifndef _MDSPAN_USE_CONSTEXPR_14
# if (defined(__cpp_constexpr) && __cpp_constexpr >= 201304) \
|| (!defined(__cpp_constexpr) && MDSPAN_HAS_CXX_14) \
&& (!(defined(__INTEL_COMPILER) && __INTEL_COMPILER <= 1700))
# define _MDSPAN_USE_CONSTEXPR_14 1
# endif
#endif
#ifndef _MDSPAN_USE_INTEGER_SEQUENCE
# if defined(_MDSPAN_COMPILER_MSVC)
# if (defined(__cpp_lib_integer_sequence) && __cpp_lib_integer_sequence >= 201304)
# define _MDSPAN_USE_INTEGER_SEQUENCE 1
# endif
# endif
#endif
#ifndef _MDSPAN_USE_INTEGER_SEQUENCE
# if (defined(__cpp_lib_integer_sequence) && __cpp_lib_integer_sequence >= 201304) \
|| (!defined(__cpp_lib_integer_sequence) && MDSPAN_HAS_CXX_14) \
/* as far as I can tell, libc++ seems to think this is a C++11 feature... */ \
|| (defined(__GLIBCXX__) && __GLIBCXX__ > 20150422 && __GNUC__ < 5 && !defined(__INTEL_CXX11_MODE__))
// several compilers lie about integer_sequence working properly unless the C++14 standard is used
# define _MDSPAN_USE_INTEGER_SEQUENCE 1
# elif defined(_MDSPAN_COMPILER_APPLECLANG) && MDSPAN_HAS_CXX_14
// appleclang seems to be missing the __cpp_lib_... macros, but doesn't seem to lie about C++14 making
// integer_sequence work
# define _MDSPAN_USE_INTEGER_SEQUENCE 1
# endif
#endif
#ifndef _MDSPAN_USE_RETURN_TYPE_DEDUCTION
# if (defined(__cpp_return_type_deduction) && __cpp_return_type_deduction >= 201304) \
|| (!defined(__cpp_return_type_deduction) && MDSPAN_HAS_CXX_14)
# define _MDSPAN_USE_RETURN_TYPE_DEDUCTION 1
# endif
#endif
#ifndef _MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION
// GCC 10's CTAD seems sufficiently broken to prevent its use.
# if (defined(_MDSPAN_COMPILER_CLANG) || !defined(__GNUC__) || __GNUC__ >= 11) \
&& ((defined(__cpp_deduction_guides) && __cpp_deduction_guides >= 201703) \
|| (!defined(__cpp_deduction_guides) && MDSPAN_HAS_CXX_17))
# define _MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION 1
# endif
#endif
#ifndef _MDSPAN_USE_ALIAS_TEMPLATE_ARGUMENT_DEDUCTION
// GCC 10's CTAD seems sufficiently broken to prevent its use.
# if (defined(_MDSPAN_COMPILER_CLANG) || !defined(__GNUC__) || __GNUC__ >= 11) \
&& ((defined(__cpp_deduction_guides) && __cpp_deduction_guides >= 201907) \
|| (!defined(__cpp_deduction_guides) && MDSPAN_HAS_CXX_20))
# define _MDSPAN_USE_ALIAS_TEMPLATE_ARGUMENT_DEDUCTION 1
# endif
#endif
#ifndef _MDSPAN_USE_STANDARD_TRAIT_ALIASES
# if (defined(__cpp_lib_transformation_trait_aliases) && __cpp_lib_transformation_trait_aliases >= 201304) \
|| (!defined(__cpp_lib_transformation_trait_aliases) && MDSPAN_HAS_CXX_14)
# define _MDSPAN_USE_STANDARD_TRAIT_ALIASES 1
# elif defined(_MDSPAN_COMPILER_APPLECLANG) && MDSPAN_HAS_CXX_14
// appleclang seems to be missing the __cpp_lib_... macros, but doesn't seem to lie about C++14
# define _MDSPAN_USE_STANDARD_TRAIT_ALIASES 1
# endif
#endif
#ifndef _MDSPAN_DEFAULTED_CONSTRUCTORS_INHERITANCE_WORKAROUND
# ifdef __GNUC__
# if __GNUC__ < 9
# define _MDSPAN_DEFAULTED_CONSTRUCTORS_INHERITANCE_WORKAROUND 1
# endif
# endif
#endif
#ifndef MDSPAN_CONDITIONAL_EXPLICIT
# if MDSPAN_HAS_CXX_20 && !defined(_MDSPAN_COMPILER_MSVC)
# define MDSPAN_CONDITIONAL_EXPLICIT(COND) explicit(COND)
# else
# define MDSPAN_CONDITIONAL_EXPLICIT(COND)
# endif
#endif
#ifndef MDSPAN_USE_BRACKET_OPERATOR
# if defined(__cpp_multidimensional_subscript)
# define MDSPAN_USE_BRACKET_OPERATOR 1
# else
# define MDSPAN_USE_BRACKET_OPERATOR 0
# endif
#endif
#ifndef MDSPAN_USE_PAREN_OPERATOR
# if !MDSPAN_USE_BRACKET_OPERATOR
# define MDSPAN_USE_PAREN_OPERATOR 1
# else
# define MDSPAN_USE_PAREN_OPERATOR 0
# endif
#endif
#if MDSPAN_USE_BRACKET_OPERATOR
# define __MDSPAN_OP(mds,...) mds[__VA_ARGS__]
// Corentins demo compiler for subscript chokes on empty [] call,
// though I believe the proposal supports it?
#ifdef MDSPAN_NO_EMPTY_BRACKET_OPERATOR
# define __MDSPAN_OP0(mds) mds.accessor().access(mds.data_handle(),0)
#else
# define __MDSPAN_OP0(mds) mds[]
#endif
# define __MDSPAN_OP1(mds, a) mds[a]
# define __MDSPAN_OP2(mds, a, b) mds[a,b]
# define __MDSPAN_OP3(mds, a, b, c) mds[a,b,c]
# define __MDSPAN_OP4(mds, a, b, c, d) mds[a,b,c,d]
# define __MDSPAN_OP5(mds, a, b, c, d, e) mds[a,b,c,d,e]
# define __MDSPAN_OP6(mds, a, b, c, d, e, f) mds[a,b,c,d,e,f]
#else
# define __MDSPAN_OP(mds,...) mds(__VA_ARGS__)
# define __MDSPAN_OP0(mds) mds()
# define __MDSPAN_OP1(mds, a) mds(a)
# define __MDSPAN_OP2(mds, a, b) mds(a,b)
# define __MDSPAN_OP3(mds, a, b, c) mds(a,b,c)
# define __MDSPAN_OP4(mds, a, b, c, d) mds(a,b,c,d)
# define __MDSPAN_OP5(mds, a, b, c, d, e) mds(a,b,c,d,e)
# define __MDSPAN_OP6(mds, a, b, c, d, e, f) mds(a,b,c,d,e,f)
#endif
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/include/experimental/__p0009_bits/macros.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "config.hpp"
#include <type_traits> // std::is_void
#ifndef _MDSPAN_HOST_DEVICE
# if defined(_MDSPAN_HAS_CUDA) || defined(_MDSPAN_HAS_HIP)
# define _MDSPAN_HOST_DEVICE __host__ __device__
# else
# define _MDSPAN_HOST_DEVICE
# endif
#endif
#ifndef MDSPAN_FORCE_INLINE_FUNCTION
# ifdef _MDSPAN_COMPILER_MSVC // Microsoft compilers
# define MDSPAN_FORCE_INLINE_FUNCTION __forceinline _MDSPAN_HOST_DEVICE
# else
# define MDSPAN_FORCE_INLINE_FUNCTION __attribute__((always_inline)) _MDSPAN_HOST_DEVICE
# endif
#endif
#ifndef MDSPAN_INLINE_FUNCTION
# define MDSPAN_INLINE_FUNCTION inline _MDSPAN_HOST_DEVICE
#endif
// In CUDA defaulted functions do not need host device markup
#ifndef MDSPAN_INLINE_FUNCTION_DEFAULTED
# define MDSPAN_INLINE_FUNCTION_DEFAULTED
#endif
//==============================================================================
// <editor-fold desc="Preprocessor helpers"> {{{1
#define MDSPAN_PP_COUNT(...) \
_MDSPAN_PP_INTERNAL_EXPAND_ARGS_PRIVATE( \
_MDSPAN_PP_INTERNAL_ARGS_AUGMENTER(__VA_ARGS__) \
)
#define _MDSPAN_PP_INTERNAL_ARGS_AUGMENTER(...) unused, __VA_ARGS__
#define _MDSPAN_PP_INTERNAL_EXPAND(x) x
#define _MDSPAN_PP_INTERNAL_EXPAND_ARGS_PRIVATE(...) \
_MDSPAN_PP_INTERNAL_EXPAND( \
_MDSPAN_PP_INTERNAL_COUNT_PRIVATE( \
__VA_ARGS__, 69, 68, 67, 66, 65, 64, 63, 62, 61, \
60, 59, 58, 57, 56, 55, 54, 53, 52, 51, 50, 49, \
48, 47, 46, 45, 44, 43, 42, 41, 40, 39, 38, 37, \
36, 35, 34, 33, 32, 31, 30, 29, 28, 27, 26, 25, \
24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, \
12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0 \
) \
)
# define _MDSPAN_PP_INTERNAL_COUNT_PRIVATE( \
_1_, _2_, _3_, _4_, _5_, _6_, _7_, _8_, _9_, \
_10, _11, _12, _13, _14, _15, _16, _17, _18, _19, \
_20, _21, _22, _23, _24, _25, _26, _27, _28, _29, \
_30, _31, _32, _33, _34, _35, _36, _37, _38, _39, \
_40, _41, _42, _43, _44, _45, _46, _47, _48, _49, \
_50, _51, _52, _53, _54, _55, _56, _57, _58, _59, \
_60, _61, _62, _63, _64, _65, _66, _67, _68, _69, \
_70, count, ...) count \
/**/
#define MDSPAN_PP_STRINGIFY_IMPL(x) #x
#define MDSPAN_PP_STRINGIFY(x) MDSPAN_PP_STRINGIFY_IMPL(x)
#define MDSPAN_PP_CAT_IMPL(x, y) x ## y
#define MDSPAN_PP_CAT(x, y) MDSPAN_PP_CAT_IMPL(x, y)
#define MDSPAN_PP_EVAL(X, ...) X(__VA_ARGS__)
#define MDSPAN_PP_REMOVE_PARENS_IMPL(...) __VA_ARGS__
#define MDSPAN_PP_REMOVE_PARENS(...) MDSPAN_PP_REMOVE_PARENS_IMPL __VA_ARGS__
// </editor-fold> end Preprocessor helpers }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="Concept emulation"> {{{1
// These compatibility macros don't help with partial ordering, but they should do the trick
// for what we need to do with concepts in mdspan
#ifdef _MDSPAN_USE_CONCEPTS
# define MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) > requires REQ
# define MDSPAN_FUNCTION_REQUIRES(PAREN_PREQUALS, FNAME, PAREN_PARAMS, QUALS, REQ) \
MDSPAN_PP_REMOVE_PARENS(PAREN_PREQUALS) FNAME PAREN_PARAMS QUALS requires REQ \
/**/
#else
# define MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) , typename ::std::enable_if<(REQ), int>::type = 0>
# define MDSPAN_FUNCTION_REQUIRES(PAREN_PREQUALS, FNAME, PAREN_PARAMS, QUALS, REQ) \
MDSPAN_TEMPLATE_REQUIRES( \
class __function_requires_ignored=void, \
(std::is_void<__function_requires_ignored>::value && REQ) \
) MDSPAN_PP_REMOVE_PARENS(PAREN_PREQUALS) FNAME PAREN_PARAMS QUALS \
/**/
#endif
#if defined(_MDSPAN_COMPILER_MSVC)
# define MDSPAN_TEMPLATE_REQUIRES(...) \
MDSPAN_PP_CAT( \
MDSPAN_PP_CAT(MDSPAN_TEMPLATE_REQUIRES_, MDSPAN_PP_COUNT(__VA_ARGS__))\
(__VA_ARGS__), \
) \
/**/
#else
# define MDSPAN_TEMPLATE_REQUIRES(...) \
MDSPAN_PP_EVAL( \
MDSPAN_PP_CAT(MDSPAN_TEMPLATE_REQUIRES_, MDSPAN_PP_COUNT(__VA_ARGS__)), \
__VA_ARGS__ \
) \
/**/
#endif
#define MDSPAN_TEMPLATE_REQUIRES_2(TP1, REQ) \
template<TP1 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_3(TP1, TP2, REQ) \
template<TP1, TP2 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_4(TP1, TP2, TP3, REQ) \
template<TP1, TP2, TP3 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_5(TP1, TP2, TP3, TP4, REQ) \
template<TP1, TP2, TP3, TP4 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_6(TP1, TP2, TP3, TP4, TP5, REQ) \
template<TP1, TP2, TP3, TP4, TP5 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_7(TP1, TP2, TP3, TP4, TP5, TP6, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_8(TP1, TP2, TP3, TP4, TP5, TP6, TP7, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_9(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_10(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_11(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_12(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_13(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_14(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_15(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_16(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, TP15, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, TP15 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_17(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, TP15, TP16, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, TP15, TP16 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_18(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, TP15, TP16, TP17, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, TP15, TP16, TP17 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_19(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, TP15, TP16, TP17, TP18, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, TP15, TP16, TP17, TP18 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_TEMPLATE_REQUIRES_20(TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, TP15, TP16, TP17, TP18, TP19, REQ) \
template<TP1, TP2, TP3, TP4, TP5, TP6, TP7, TP8, TP9, TP10, TP11, TP12, TP13, TP14, TP15, TP16, TP17, TP18, TP19 \
MDSPAN_CLOSE_ANGLE_REQUIRES(REQ) \
/**/
#define MDSPAN_INSTANTIATE_ONLY_IF_USED \
MDSPAN_TEMPLATE_REQUIRES( \
class __instantiate_only_if_used_tparam=void, \
( _MDSPAN_TRAIT(std::is_void, __instantiate_only_if_used_tparam) ) \
) \
/**/
// </editor-fold> end Concept emulation }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="inline variables"> {{{1
#ifdef _MDSPAN_USE_INLINE_VARIABLES
# define _MDSPAN_INLINE_VARIABLE inline
#else
# define _MDSPAN_INLINE_VARIABLE
#endif
// </editor-fold> end inline variables }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="Return type deduction"> {{{1
#if _MDSPAN_USE_RETURN_TYPE_DEDUCTION
# define _MDSPAN_DEDUCE_RETURN_TYPE_SINGLE_LINE(SIGNATURE, BODY) \
auto MDSPAN_PP_REMOVE_PARENS(SIGNATURE) { return MDSPAN_PP_REMOVE_PARENS(BODY); }
# define _MDSPAN_DEDUCE_DECLTYPE_AUTO_RETURN_TYPE_SINGLE_LINE(SIGNATURE, BODY) \
decltype(auto) MDSPAN_PP_REMOVE_PARENS(SIGNATURE) { return MDSPAN_PP_REMOVE_PARENS(BODY); }
#else
# define _MDSPAN_DEDUCE_RETURN_TYPE_SINGLE_LINE(SIGNATURE, BODY) \
auto MDSPAN_PP_REMOVE_PARENS(SIGNATURE) \
-> std::remove_cv_t<std::remove_reference_t<decltype(BODY)>> \
{ return MDSPAN_PP_REMOVE_PARENS(BODY); }
# define _MDSPAN_DEDUCE_DECLTYPE_AUTO_RETURN_TYPE_SINGLE_LINE(SIGNATURE, BODY) \
auto MDSPAN_PP_REMOVE_PARENS(SIGNATURE) \
-> decltype(BODY) \
{ return MDSPAN_PP_REMOVE_PARENS(BODY); }
#endif
// </editor-fold> end Return type deduction }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="fold expressions"> {{{1
struct __mdspan_enable_fold_comma { };
#ifdef _MDSPAN_USE_FOLD_EXPRESSIONS
# define _MDSPAN_FOLD_AND(...) ((__VA_ARGS__) && ...)
# define _MDSPAN_FOLD_AND_TEMPLATE(...) ((__VA_ARGS__) && ...)
# define _MDSPAN_FOLD_OR(...) ((__VA_ARGS__) || ...)
# define _MDSPAN_FOLD_ASSIGN_LEFT(INIT, ...) (INIT = ... = (__VA_ARGS__))
# define _MDSPAN_FOLD_ASSIGN_RIGHT(PACK, ...) (PACK = ... = (__VA_ARGS__))
# define _MDSPAN_FOLD_TIMES_RIGHT(PACK, ...) (PACK * ... * (__VA_ARGS__))
# define _MDSPAN_FOLD_PLUS_RIGHT(PACK, ...) (PACK + ... + (__VA_ARGS__))
# define _MDSPAN_FOLD_COMMA(...) ((__VA_ARGS__), ...)
#else
namespace std {
namespace __fold_compatibility_impl {
// We could probably be more clever here, but at the (small) risk of losing some compiler understanding. For the
// few operations we need, it's not worth generalizing over the operation
#if _MDSPAN_USE_RETURN_TYPE_DEDUCTION
MDSPAN_FORCE_INLINE_FUNCTION
constexpr decltype(auto) __fold_right_and_impl() {
return true;
}
template <class Arg, class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr decltype(auto) __fold_right_and_impl(Arg&& arg, Args&&... args) {
return ((Arg&&)arg) && __fold_compatibility_impl::__fold_right_and_impl((Args&&)args...);
}
MDSPAN_FORCE_INLINE_FUNCTION
constexpr decltype(auto) __fold_right_or_impl() {
return false;
}
template <class Arg, class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr auto __fold_right_or_impl(Arg&& arg, Args&&... args) {
return ((Arg&&)arg) || __fold_compatibility_impl::__fold_right_or_impl((Args&&)args...);
}
template <class Arg1>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr auto __fold_left_assign_impl(Arg1&& arg1) {
return (Arg1&&)arg1;
}
template <class Arg1, class Arg2, class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr auto __fold_left_assign_impl(Arg1&& arg1, Arg2&& arg2, Args&&... args) {
return __fold_compatibility_impl::__fold_left_assign_impl((((Arg1&&)arg1) = ((Arg2&&)arg2)), (Args&&)args...);
}
template <class Arg1>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr auto __fold_right_assign_impl(Arg1&& arg1) {
return (Arg1&&)arg1;
}
template <class Arg1, class Arg2, class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr auto __fold_right_assign_impl(Arg1&& arg1, Arg2&& arg2, Args&&... args) {
return ((Arg1&&)arg1) = __fold_compatibility_impl::__fold_right_assign_impl((Arg2&&)arg2, (Args&&)args...);
}
template <class Arg1>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr auto __fold_right_plus_impl(Arg1&& arg1) {
return (Arg1&&)arg1;
}
template <class Arg1, class Arg2, class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr auto __fold_right_plus_impl(Arg1&& arg1, Arg2&& arg2, Args&&... args) {
return ((Arg1&&)arg1) + __fold_compatibility_impl::__fold_right_plus_impl((Arg2&&)arg2, (Args&&)args...);
}
template <class Arg1>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr auto __fold_right_times_impl(Arg1&& arg1) {
return (Arg1&&)arg1;
}
template <class Arg1, class Arg2, class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr auto __fold_right_times_impl(Arg1&& arg1, Arg2&& arg2, Args&&... args) {
return ((Arg1&&)arg1) * __fold_compatibility_impl::__fold_right_times_impl((Arg2&&)arg2, (Args&&)args...);
}
#else
//------------------------------------------------------------------------------
// <editor-fold desc="right and"> {{{2
template <class... Args>
struct __fold_right_and_impl_;
template <>
struct __fold_right_and_impl_<> {
using __rv = bool;
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl() noexcept {
return true;
}
};
template <class Arg, class... Args>
struct __fold_right_and_impl_<Arg, Args...> {
using __next_t = __fold_right_and_impl_<Args...>;
using __rv = decltype(std::declval<Arg>() && std::declval<typename __next_t::__rv>());
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl(Arg&& arg, Args&&... args) noexcept {
return ((Arg&&)arg) && __next_t::__impl((Args&&)args...);
}
};
template <class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr typename __fold_right_and_impl_<Args...>::__rv
__fold_right_and_impl(Args&&... args) {
return __fold_right_and_impl_<Args...>::__impl((Args&&)args...);
}
// </editor-fold> end right and }}}2
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// <editor-fold desc="right or"> {{{2
template <class... Args>
struct __fold_right_or_impl_;
template <>
struct __fold_right_or_impl_<> {
using __rv = bool;
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl() noexcept {
return false;
}
};
template <class Arg, class... Args>
struct __fold_right_or_impl_<Arg, Args...> {
using __next_t = __fold_right_or_impl_<Args...>;
using __rv = decltype(std::declval<Arg>() || std::declval<typename __next_t::__rv>());
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl(Arg&& arg, Args&&... args) noexcept {
return ((Arg&&)arg) || __next_t::__impl((Args&&)args...);
}
};
template <class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr typename __fold_right_or_impl_<Args...>::__rv
__fold_right_or_impl(Args&&... args) {
return __fold_right_or_impl_<Args...>::__impl((Args&&)args...);
}
// </editor-fold> end right or }}}2
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// <editor-fold desc="right plus"> {{{2
template <class... Args>
struct __fold_right_plus_impl_;
template <class Arg>
struct __fold_right_plus_impl_<Arg> {
using __rv = Arg&&;
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl(Arg&& arg) noexcept {
return (Arg&&)arg;
}
};
template <class Arg1, class Arg2, class... Args>
struct __fold_right_plus_impl_<Arg1, Arg2, Args...> {
using __next_t = __fold_right_plus_impl_<Arg2, Args...>;
using __rv = decltype(std::declval<Arg1>() + std::declval<typename __next_t::__rv>());
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl(Arg1&& arg, Arg2&& arg2, Args&&... args) noexcept {
return ((Arg1&&)arg) + __next_t::__impl((Arg2&&)arg2, (Args&&)args...);
}
};
template <class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr typename __fold_right_plus_impl_<Args...>::__rv
__fold_right_plus_impl(Args&&... args) {
return __fold_right_plus_impl_<Args...>::__impl((Args&&)args...);
}
// </editor-fold> end right plus }}}2
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// <editor-fold desc="right times"> {{{2
template <class... Args>
struct __fold_right_times_impl_;
template <class Arg>
struct __fold_right_times_impl_<Arg> {
using __rv = Arg&&;
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl(Arg&& arg) noexcept {
return (Arg&&)arg;
}
};
template <class Arg1, class Arg2, class... Args>
struct __fold_right_times_impl_<Arg1, Arg2, Args...> {
using __next_t = __fold_right_times_impl_<Arg2, Args...>;
using __rv = decltype(std::declval<Arg1>() * std::declval<typename __next_t::__rv>());
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl(Arg1&& arg, Arg2&& arg2, Args&&... args) noexcept {
return ((Arg1&&)arg) * __next_t::__impl((Arg2&&)arg2, (Args&&)args...);
}
};
template <class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr typename __fold_right_times_impl_<Args...>::__rv
__fold_right_times_impl(Args&&... args) {
return __fold_right_times_impl_<Args...>::__impl((Args&&)args...);
}
// </editor-fold> end right times }}}2
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// <editor-fold desc="right assign"> {{{2
template <class... Args>
struct __fold_right_assign_impl_;
template <class Arg>
struct __fold_right_assign_impl_<Arg> {
using __rv = Arg&&;
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl(Arg&& arg) noexcept {
return (Arg&&)arg;
}
};
template <class Arg1, class Arg2, class... Args>
struct __fold_right_assign_impl_<Arg1, Arg2, Args...> {
using __next_t = __fold_right_assign_impl_<Arg2, Args...>;
using __rv = decltype(std::declval<Arg1>() = std::declval<typename __next_t::__rv>());
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl(Arg1&& arg, Arg2&& arg2, Args&&... args) noexcept {
return ((Arg1&&)arg) = __next_t::__impl((Arg2&&)arg2, (Args&&)args...);
}
};
template <class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr typename __fold_right_assign_impl_<Args...>::__rv
__fold_right_assign_impl(Args&&... args) {
return __fold_right_assign_impl_<Args...>::__impl((Args&&)args...);
}
// </editor-fold> end right assign }}}2
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// <editor-fold desc="left assign"> {{{2
template <class... Args>
struct __fold_left_assign_impl_;
template <class Arg>
struct __fold_left_assign_impl_<Arg> {
using __rv = Arg&&;
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl(Arg&& arg) noexcept {
return (Arg&&)arg;
}
};
template <class Arg1, class Arg2, class... Args>
struct __fold_left_assign_impl_<Arg1, Arg2, Args...> {
using __assign_result_t = decltype(std::declval<Arg1>() = std::declval<Arg2>());
using __next_t = __fold_left_assign_impl_<__assign_result_t, Args...>;
using __rv = typename __next_t::__rv;
MDSPAN_FORCE_INLINE_FUNCTION
static constexpr __rv
__impl(Arg1&& arg, Arg2&& arg2, Args&&... args) noexcept {
return __next_t::__impl(((Arg1&&)arg) = (Arg2&&)arg2, (Args&&)args...);
}
};
template <class... Args>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr typename __fold_left_assign_impl_<Args...>::__rv
__fold_left_assign_impl(Args&&... args) {
return __fold_left_assign_impl_<Args...>::__impl((Args&&)args...);
}
// </editor-fold> end left assign }}}2
//------------------------------------------------------------------------------
#endif
template <class... Args>
constexpr __mdspan_enable_fold_comma __fold_comma_impl(Args&&... args) noexcept { return { }; }
template <bool... Bs>
struct __bools;
} // __fold_compatibility_impl
} // end namespace std
# define _MDSPAN_FOLD_AND(...) std::__fold_compatibility_impl::__fold_right_and_impl((__VA_ARGS__)...)
# define _MDSPAN_FOLD_OR(...) std::__fold_compatibility_impl::__fold_right_or_impl((__VA_ARGS__)...)
# define _MDSPAN_FOLD_ASSIGN_LEFT(INIT, ...) std::__fold_compatibility_impl::__fold_left_assign_impl(INIT, (__VA_ARGS__)...)
# define _MDSPAN_FOLD_ASSIGN_RIGHT(PACK, ...) std::__fold_compatibility_impl::__fold_right_assign_impl((PACK)..., __VA_ARGS__)
# define _MDSPAN_FOLD_TIMES_RIGHT(PACK, ...) std::__fold_compatibility_impl::__fold_right_times_impl((PACK)..., __VA_ARGS__)
# define _MDSPAN_FOLD_PLUS_RIGHT(PACK, ...) std::__fold_compatibility_impl::__fold_right_plus_impl((PACK)..., __VA_ARGS__)
# define _MDSPAN_FOLD_COMMA(...) std::__fold_compatibility_impl::__fold_comma_impl((__VA_ARGS__)...)
# define _MDSPAN_FOLD_AND_TEMPLATE(...) \
_MDSPAN_TRAIT(std::is_same, __fold_compatibility_impl::__bools<(__VA_ARGS__)..., true>, __fold_compatibility_impl::__bools<true, (__VA_ARGS__)...>)
#endif
// </editor-fold> end fold expressions }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="Variable template compatibility"> {{{1
#if _MDSPAN_USE_VARIABLE_TEMPLATES
# define _MDSPAN_TRAIT(TRAIT, ...) TRAIT##_v<__VA_ARGS__>
#else
# define _MDSPAN_TRAIT(TRAIT, ...) TRAIT<__VA_ARGS__>::value
#endif
// </editor-fold> end Variable template compatibility }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="Pre-C++14 constexpr"> {{{1
#if _MDSPAN_USE_CONSTEXPR_14
# define _MDSPAN_CONSTEXPR_14 constexpr
// Workaround for a bug (I think?) in EDG frontends
# ifdef __EDG__
# define _MDSPAN_CONSTEXPR_14_DEFAULTED
# else
# define _MDSPAN_CONSTEXPR_14_DEFAULTED constexpr
# endif
#else
# define _MDSPAN_CONSTEXPR_14
# define _MDSPAN_CONSTEXPR_14_DEFAULTED
#endif
// </editor-fold> end Pre-C++14 constexpr }}}1
//==============================================================================
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/test_mdarray_ctors.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdarray>
#include <vector>
#include <gtest/gtest.h>
#include "offload_utils.hpp"
#ifdef __cpp_lib_memory_resource
#include <memory_resource>
//For testing, prints allocs and deallocs to cout
struct ChatterResource : std::pmr::memory_resource{
ChatterResource() = default;
ChatterResource(std::pmr::memory_resource* upstream): upstream(upstream){}
ChatterResource(const ChatterResource&) = delete;
ChatterResource(ChatterResource&&) = delete;
ChatterResource& operator=(const ChatterResource&) = delete;
ChatterResource& operator=(ChatterResource&&) = delete;
private:
void* do_allocate( std::size_t bytes, std::size_t alignment ) override{
std::cout << "Allocation - size: " << bytes << ", alignment: " << alignment << std::endl;
return upstream->allocate(bytes, alignment);
}
void do_deallocate( void* p, std::size_t bytes, std::size_t alignment ) override{
std::cout << "Deallocation - size: " << bytes << ", alignment: " << alignment << std::endl;
upstream->deallocate(p, bytes, alignment);
}
bool do_is_equal( const std::pmr::memory_resource& other ) const noexcept override{
return this == &other;
};
std::pmr::memory_resource* upstream = std::pmr::get_default_resource();
};
#endif
namespace stdex = std::experimental;
_MDSPAN_INLINE_VARIABLE constexpr auto dyn = stdex::dynamic_extent;
template<int Rank>
struct mdarray_values;
template<>
struct mdarray_values<0> {
template<class MDA>
static void check(const MDA& m) {
ASSERT_EQ(__MDSPAN_OP(m), 42);
}
template<class pointer, class extents_type>
static void fill(const pointer& ptr, const extents_type&, bool) {
ptr[0] = 42;
}
};
template<>
struct mdarray_values<1> {
template<class MDA>
static void check(const MDA& m) {
using index_type = typename MDA::index_type;
for(index_type i=0; i<m.extent(0); i++)
ASSERT_EQ(__MDSPAN_OP(m,i), 42 + i);
}
template<class pointer, class extents_type>
static void fill(const pointer& ptr, const extents_type& ext, bool) {
using index_type = typename extents_type::index_type;
for(index_type i=0; i<ext.extent(0); i++)
ptr[i] = 42 + i;
}
};
template<>
struct mdarray_values<2> {
template<class MDA>
static void check(const MDA& m) {
using index_type = typename MDA::index_type;
for(index_type i=0; i<m.extent(0); i++)
for(index_type j=0; j<m.extent(1); j++) {
auto tmp = __MDSPAN_OP(m,i,j);
ASSERT_EQ(tmp, 42 + i*1000 + j);
}
}
template<class pointer, class extents_type>
static void fill(const pointer& ptr, const extents_type& ext, bool is_layout_right) {
using index_type = typename extents_type::index_type;
using value_type = std::remove_pointer_t<pointer>;
for(index_type i=0; i<ext.extent(0); i++)
for(index_type j=0; j<ext.extent(1); j++)
if(is_layout_right)
ptr[i*ext.extent(1)+j] = static_cast<value_type>(42 + i*1000 + j);
else
ptr[i+j*ext.extent(0)] = static_cast<value_type>(42 + i*1000 + j);
}
};
template<>
struct mdarray_values<3> {
template<class MDA>
static void check(const MDA& m) {
for(int i=0; i<m.extent(0); i++)
for(int j=0; j<m.extent(1); j++)
for(int k=0; k<m.extent(2); k++) {
auto tmp = __MDSPAN_OP(m,i,j,k);
ASSERT_EQ(tmp, 42 + i*1000000 + j*1000 + k);
}
}
template<class pointer, class extents_type>
static void fill(const pointer& ptr, const extents_type& ext, bool is_layout_right) {
for(int i=0; i<ext.extent(0); i++)
for(int j=0; j<ext.extent(1); j++)
for(int k=0; k<ext.extent(2); k++)
if(is_layout_right)
ptr[(i*ext.extent(1)+j)*ext.extent(2)+k] = 42 + i*1000000 + j*1000+k;
else
ptr[i+(j+k*ext.extent(1))*ext.extent(0)] = 42 + i*1000000 + j*1000+k;
}
};
template<class MDA>
void check_correctness(MDA& m, size_t rank, size_t rank_dynamic,
size_t extent_0, size_t extent_1, size_t extent_2,
size_t stride_0, size_t stride_1, size_t stride_2,
typename MDA::pointer ptr, bool ptr_matches,
bool exhaustive) {
ASSERT_EQ(m.rank(), rank);
ASSERT_EQ(m.rank_dynamic(), rank_dynamic);
if(rank>0) {
ASSERT_EQ(m.extent(0), extent_0);
ASSERT_EQ(m.stride(0), stride_0);
}
if(rank>1) {
ASSERT_EQ(m.extent(1), extent_1);
ASSERT_EQ(m.stride(1), stride_1);
}
if(rank>2) {
ASSERT_EQ(m.extent(2), extent_2);
ASSERT_EQ(m.stride(2), stride_2);
}
if(ptr_matches)
ASSERT_EQ(m.data(),ptr);
else
ASSERT_NE(m.data(),ptr);
ASSERT_EQ(m.is_exhaustive(),exhaustive);
mdarray_values<MDA::rank()>::check(m);
}
void test_mdarray_ctor_data_carray() {
size_t* errors = allocate_array<size_t>(1);
errors[0] = 0;
dispatch([=] _MDSPAN_HOST_DEVICE () {
stdex::mdarray<int, stdex::extents<size_t,1>> m(stdex::extents<int,1>{});
__MDSPAN_DEVICE_ASSERT_EQ(m.rank(), 1);
__MDSPAN_DEVICE_ASSERT_EQ(m.rank_dynamic(), 0);
__MDSPAN_DEVICE_ASSERT_EQ(m.extent(0), 1);
__MDSPAN_DEVICE_ASSERT_EQ(m.static_extent(0), 1);
__MDSPAN_DEVICE_ASSERT_EQ(m.stride(0), 1);
m.data()[0] = {42};
auto val = __MDSPAN_OP(m,0);
__MDSPAN_DEVICE_ASSERT_EQ(val, 42);
__MDSPAN_DEVICE_ASSERT_EQ(m.is_exhaustive(), true);
});
ASSERT_EQ(errors[0], 0);
free_array(errors);
}
TEST(TestMdarrayCtorDataCArray, test_mdarray_ctor_data_carray) {
__MDSPAN_TESTS_RUN_TEST(test_mdarray_ctor_data_carray())
}
// Construct from extents only
TEST(TestMdarrayCtorFromExtents, 0d_static) {
stdex::mdarray<int, stdex::extents<int>, stdex::layout_right, std::array<int,1>> m(stdex::extents<int>{});
// ptr to fill, extents, is_layout_right
mdarray_values<0>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 0, 0, 0, 0, 0, 0, 0, 0, nullptr, false, true);
}
// Construct from sizes only
TEST(TestMdarrayCtorFromSizes, 1d_static) {
stdex::mdarray<int, stdex::extents<int,1>, stdex::layout_right, std::array<int,1>> m(1);
// ptr to fill, extents, is_layout_right
mdarray_values<1>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 1, 0, 1, 0, 0, 1, 0, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromSizes, 2d_static) {
stdex::mdarray<int, stdex::extents<int,2,3>, stdex::layout_right, std::array<int,6>> m(2,3);
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 0, 2, 3, 0, 3, 1, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromSizes, 1d_dynamic) {
stdex::mdarray<int, stdex::dextents<int,1>, stdex::layout_right, std::array<int,1>> m(1);
// ptr to fill, extents, is_layout_right
mdarray_values<1>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 1, 1, 1, 0, 0, 1, 0, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromSizes, 2d_dynamic) {
stdex::mdarray<int, stdex::dextents<size_t,2>> m(2,3);
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 2, 2, 3, 0, 3, 1, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromSizes, 2d_mixed) {
stdex::mdarray<int, stdex::extents<unsigned,2,stdex::dynamic_extent>> m(3);
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 1, 2, 3, 0, 3, 1, 0, nullptr, false, true);
}
// Construct from container + sizes
TEST(TestMdarrayCtorFromContainerSizes, 1d_static) {
std::array<int, 1> d{42};
using mda_t = stdex::mdarray<int, stdex::extents<unsigned,1>, stdex::layout_right, std::array<int,1>>;
// ptr to fill, extents, is_layout_right
mdarray_values<1>::fill(d.data(),stdex::extents<unsigned,1>(),true);
mda_t m(d,1);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 1, 0, 1, 0, 0, 1, 0, 0, d.data(), false, true);
}
TEST(TestMdarrayCtorFromContainerSizes, 2d_static) {
std::array<int, 6> d{42,43,44,3,4,41};
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(d.data(),stdex::extents<int, 2,3>(),true);
stdex::mdarray<int, stdex::extents<int, 2,3>, stdex::layout_right, std::array<int,6>> m(d,2,3);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 0, 2, 3, 0, 3, 1, 0, d.data(), false, true);
}
TEST(TestMdarrayCtorFromContainerSizes, 1d_dynamic) {
std::vector<int> d{42};
// ptr to fill, extents, is_layout_right
mdarray_values<1>::fill(d.data(),stdex::extents<int, 1>(),true);
stdex::mdarray<int, stdex::dextents<int, 1>> m(d,1);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 1, 1, 1, 0, 0, 1, 0, 0, d.data(), false, true);
}
TEST(TestMdarrayCtorFromContainerSizes, 2d_dynamic) {
std::vector<int> d{42,1,2,3,4,41};
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(d.data(),stdex::extents<int, 2,3>(),true);
stdex::mdarray<int, stdex::dextents<int, 2>> m(d,2,3);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 2, 2, 3, 0, 3, 1, 0, d.data(), false, true);
}
TEST(TestMdarrayCtorFromContainerSizes, 2d_mixed) {
std::vector<int> d{42,1,2,3,4,41};
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(d.data(),stdex::extents<int, 2,3>(),true);
stdex::mdarray<int, stdex::extents<int, 2,stdex::dynamic_extent>> m(d,3);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 1, 2, 3, 0, 3, 1, 0, d.data(), false, true);
}
// Construct from move container + sizes
TEST(TestMdarrayCtorFromMoveContainerSizes, 1d_static) {
std::array<int, 1> d{42};
// ptr to fill, extents, is_layout_right
mdarray_values<1>::fill(d.data(),stdex::extents<int, 1>(),true);
stdex::mdarray<int, stdex::extents<int, 1>, stdex::layout_right, std::array<int,1>> m(std::move(d),1);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 1, 0, 1, 0, 0, 1, 0, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromMoveContainerSizes, 2d_static) {
std::array<int, 6> d{42,1,2,3,4,41};
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(d.data(),stdex::extents<int, 2,3>(),true);
stdex::mdarray<int, stdex::extents<int, 2,3>, stdex::layout_right, std::array<int,6>> m(std::move(d),2,3);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 0, 2, 3, 0, 3, 1, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromMoveContainerSizes, 1d_dynamic) {
std::vector<int> d{42};
auto ptr = d.data();
// ptr to fill, extents, is_layout_right
mdarray_values<1>::fill(ptr,stdex::extents<int, 1>(),true);
stdex::mdarray<int, stdex::dextents<int, 1>> m(std::move(d),1);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 1, 1, 1, 0, 0, 1, 0, 0, ptr, true, true);
}
TEST(TestMdarrayCtorFromMoveContainerSizes, 2d_dynamic) {
std::vector<int> d{42,1,2,3,4,41};
auto ptr = d.data();
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(ptr,stdex::extents<int, 2,3>(),true);
stdex::mdarray<int, stdex::dextents<int, 2>> m(std::move(d),2,3);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 2, 2, 3, 0, 3, 1, 0, ptr, true, true);
}
TEST(TestMdarrayCtorFromMoveContainerSizes, 2d_mixed) {
std::vector<int> d{42,1,2,3,4,41};
auto ptr = d.data();
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(ptr,stdex::extents<int, 2,3>(),true);
stdex::mdarray<int, stdex::extents<int, 2,stdex::dynamic_extent>> m(std::move(d),3);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 1, 2, 3, 0, 3, 1, 0, ptr, true, true);
}
// Construct from extents only
TEST(TestMdarrayCtorFromExtentsAlloc, 0d_static) {
std::allocator<int> alloc;
stdex::mdarray<int, stdex::extents<unsigned>> m(stdex::extents<unsigned>{},alloc);
// ptr to fill, extents, is_layout_right
mdarray_values<0>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 0, 0, 0, 0, 0, 0, 0, 0, nullptr, false, true);
}
// Construct from sizes only
TEST(TestMdarrayCtorFromSizesAlloc, 1d_static) {
std::allocator<int> alloc;
stdex::mdarray<int, stdex::extents<int, 1>> m(stdex::extents<int, 1>(), alloc);
// ptr to fill, extents, is_layout_right
mdarray_values<1>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 1, 0, 1, 0, 0, 1, 0, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromSizesAlloc, 2d_static) {
std::allocator<int> alloc;
stdex::mdarray<int, stdex::extents<int, 2,3>> m(stdex::extents<int, 2,3>(), alloc);
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 0, 2, 3, 0, 3, 1, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromSizesAlloc, 1d_dynamic) {
std::allocator<int> alloc;
stdex::mdarray<int, stdex::dextents<int, 1>> m(stdex::extents<int, 1>(), alloc);
// ptr to fill, extents, is_layout_right
mdarray_values<1>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 1, 1, 1, 0, 0, 1, 0, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromSizesAlloc, 2d_dynamic) {
std::allocator<int> alloc;
stdex::mdarray<int, stdex::dextents<int, 2>> m(stdex::extents<int, 2,3>(), alloc);
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 2, 2, 3, 0, 3, 1, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromSizesAlloc, 2d_mixed) {
std::allocator<int> alloc;
stdex::mdarray<int, stdex::extents<int, 2,stdex::dynamic_extent>> m(stdex::extents<int, 2,stdex::dynamic_extent>{3}, alloc);
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(m.data(),m.extents(),true);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 1, 2, 3, 0, 3, 1, 0, nullptr, false, true);
}
TEST(TestMdarrayCtorFromContainerSizesAlloc, 1d_dynamic) {
std::allocator<int> alloc;
std::vector<int> d{42};
// ptr to fill, extents, is_layout_right
mdarray_values<1>::fill(d.data(),stdex::extents<int, 1>(),true);
stdex::mdarray<int, stdex::dextents<int, 1>> m(d,stdex::dextents<int, 1>{1}, alloc);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 1, 1, 1, 0, 0, 1, 0, 0, d.data(), false, true);
}
TEST(TestMdarrayCtorFromContainerSizesAlloc, 2d_dynamic) {
std::allocator<int> alloc;
std::vector<int> d{42,1,2,3,4,41};
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(d.data(),stdex::extents<int, 2,3>(),true);
stdex::mdarray<int, stdex::dextents<int, 2>> m(d,stdex::dextents<int, 2>{2,3}, alloc);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 2, 2, 3, 0, 3, 1, 0, d.data(), false, true);
}
TEST(TestMdarrayCtorFromContainerSizesAlloc, 2d_mixed) {
std::allocator<int> alloc;
std::vector<int> d{42,1,2,3,4,41};
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(d.data(),stdex::extents<int, 2,3>(),true);
stdex::mdarray<int, stdex::extents<int, 2,stdex::dynamic_extent>> m(d,stdex::extents<int, 2,stdex::dynamic_extent>{3}, alloc);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 1, 2, 3, 0, 3, 1, 0, d.data(), false, true);
}
TEST(TestMdarrayCtorFromMoveContainerSizesAlloc, 1d_dynamic) {
std::allocator<int> alloc;
std::vector<int> d{42};
auto ptr = d.data();
// ptr to fill, extents, is_layout_right
mdarray_values<1>::fill(ptr,stdex::extents<int, 1>(),true);
stdex::mdarray<int, stdex::dextents<int, 1>> m(std::move(d),stdex::extents<int, 1>(), alloc);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 1, 1, 1, 0, 0, 1, 0, 0, ptr, true, true);
}
TEST(TestMdarrayCtorFromMoveContainerSizesAlloc, 2d_dynamic) {
std::allocator<int> alloc;
std::vector<int> d{42,1,2,3,4,41};
auto ptr = d.data();
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(ptr,stdex::extents<int, 2,3>(),true);
stdex::mdarray<int, stdex::dextents<int, 2>> m(std::move(d),stdex::extents<int, 2,3>(), alloc);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 2, 2, 3, 0, 3, 1, 0, ptr, true, true);
}
TEST(TestMdarrayCtorFromMoveContainerSizesAlloc, 2d_mixed) {
std::allocator<int> alloc;
std::vector<int> d{42,1,2,3,4,41};
auto ptr = d.data();
// ptr to fill, extents, is_layout_right
mdarray_values<2>::fill(ptr,stdex::extents<int, 2,3>(),true);
stdex::mdarray<int, stdex::extents<int, 2,stdex::dynamic_extent>> m(std::move(d),stdex::extents<int, 2,stdex::dynamic_extent>(3), alloc);
// mdarray, rank, rank_dynamic, ext0, ext1, ext2, stride0, stride1, stride2, ptr, ptr_matches, exhaustive
check_correctness(m, 2, 1, 2, 3, 0, 3, 1, 0, ptr, true, true);
}
// PMR
#ifdef __cpp_lib_memory_resource
TEST(TestMdarrayCtorWithPMR, 2d_mixed) {
using array_2d_pmr_dynamic = stdex::mdarray<int, stdex::dextents<int, 2>, stdex::layout_right, std::vector<int, std::pmr::polymorphic_allocator<int>>>;
ChatterResource allocation_logger;
constexpr bool test = std::uses_allocator_v<array_2d_pmr_dynamic, std::pmr::polymorphic_allocator<int>>;
(void) test;
array_2d_pmr_dynamic a{stdex::dextents<int, 2>{3,3}, &allocation_logger};
array_2d_pmr_dynamic b{3,3};
std::pmr::vector<array_2d_pmr_dynamic> top_container{&allocation_logger};
top_container.reserve(4);
top_container.emplace_back(3,3);
top_container.emplace_back(a.mapping());
top_container.emplace_back(a.container(), a.mapping());
top_container.push_back({a});
}
#endif
// Construct from container only
TEST(TestMdarrayCtorDataStdArray, test_mdarray_ctor_data_carray) {
std::array<int, 1> d = {42};
stdex::mdarray<int, stdex::extents<int, 1>, stdex::layout_right, std::array<int, 1>> m(d);
ASSERT_EQ(m.rank(), 1);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_EQ(m.extent(0), 1);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(__MDSPAN_OP(m, 0), 42);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdarrayCtorDataVector, test_mdarray_ctor_data_carray) {
std::vector<int> d = {42};
stdex::mdarray<int, stdex::extents<int, 1>, stdex::layout_right, std::vector<int>> m(d);
ASSERT_EQ(m.rank(), 1);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_EQ(m.extent(0), 1);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(__MDSPAN_OP(m, 0), 42);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdarrayCtorExtentsStdArrayConvertibleToSizeT, test_mdarray_ctor_extents_std_array_convertible_to_size_t) {
std::vector<int> d{42, 17, 71, 24};
std::array<int, 2> e{2, 2};
stdex::mdarray<int, stdex::dextents<int, 2>> m(d, e);
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 2);
ASSERT_EQ(m.extent(1), 2);
ASSERT_EQ(m.stride(0), 2);
ASSERT_EQ(m.stride(1), 1);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdarrayListInitializationLayoutLeft, test_mdarray_list_initialization_layout_left) {
std::vector<int> d(16*32);
auto ptr = d.data();
stdex::mdarray<int, stdex::extents<int, dyn, dyn>, stdex::layout_left> m{std::move(d), 16, 32};
ASSERT_EQ(m.data(), ptr);
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 16);
ASSERT_EQ(m.extent(1), 32);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(m.stride(1), 16);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdarrayListInitializationLayoutRight, test_mdarray_list_initialization_layout_right) {
std::vector<int> d(16*32);
auto ptr = d.data();
stdex::mdarray<int, stdex::extents<int, dyn, dyn>, stdex::layout_right> m{std::move(d), 16, 32};
ASSERT_EQ(m.data(), ptr);
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 16);
ASSERT_EQ(m.extent(1), 32);
ASSERT_EQ(m.stride(0), 32);
ASSERT_EQ(m.stride(1), 1);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdarrayListInitializationLayoutStride, test_mdarray_list_initialization_layout_stride) {
std::vector<int> d(32*128);
auto ptr = d.data();
stdex::mdarray<int, stdex::extents<int, dyn, dyn>, stdex::layout_stride> m{std::move(d), {stdex::dextents<int, 2>{16, 32}, std::array<std::size_t, 2>{1, 128}}};
ASSERT_EQ(m.data(), ptr);
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 16);
ASSERT_EQ(m.extent(1), 32);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(m.stride(1), 128);
ASSERT_FALSE(m.is_exhaustive());
}
#if 0
#if defined(_MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION)
TEST(TestMdarrayCTAD, extents_pack) {
std::array<int, 1> d{42};
stdex::mdarray m(d.data(), 64, 128);
ASSERT_EQ(m.data(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 64);
ASSERT_EQ(m.extent(1), 128);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdarrayCTAD, ctad_pointer) {
std::array<int,5> d = {1,2,3,4,5};
stdex::mdarray m(d.data());
static_assert(std::is_same<decltype(m)::element_type,int>::value);
ASSERT_EQ(m.data(), d.data());
ASSERT_EQ(m.rank(), 0);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdarrayCTAD, ctad_carray) {
int data[5] = {1,2,3,4,5};
stdex::mdarray m(data);
static_assert(std::is_same<decltype(m)::element_type,int>::value);
ASSERT_EQ(m.data(), &data[0]);
#ifdef _MDSPAN_USE_P2554
ASSERT_EQ(m.rank(), 1);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_EQ(m.static_extent(0), 5);
ASSERT_EQ(m.extent(0), 5);
ASSERT_EQ(__MDSPAN_OP(m, 2), 3);
#else
ASSERT_EQ(m.rank(), 0);
ASSERT_EQ(m.rank_dynamic(), 0);
#endif
ASSERT_TRUE(m.is_exhaustive());
stdex::mdarray m2(data, 3);
static_assert(std::is_same<decltype(m2)::element_type,int>::value);
ASSERT_EQ(m2.data(), &data[0]);
ASSERT_EQ(m2.rank(), 1);
ASSERT_EQ(m2.rank_dynamic(), 1);
ASSERT_EQ(m2.extent(0), 3);
ASSERT_TRUE(m2.is_exhaustive());
ASSERT_EQ(__MDSPAN_OP(m2, 2), 3);
}
TEST(TestMdarrayCTAD, ctad_const_carray) {
const int data[5] = {1,2,3,4,5};
stdex::mdarray m(data);
static_assert(std::is_same<decltype(m)::element_type,const int>::value);
ASSERT_EQ(m.data(), &data[0]);
#ifdef _MDSPAN_USE_P2554
ASSERT_EQ(m.rank(), 1);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_EQ(m.static_extent(0), 5);
ASSERT_EQ(m.extent(0), 5);
ASSERT_EQ(__MDSPAN_OP(m, 2), 3);
#else
ASSERT_EQ(m.rank(), 0);
ASSERT_EQ(m.rank_dynamic(), 0);
#endif
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdarrayCTAD, extents_object) {
std::array<int, 1> d{42};
stdex::mdarray m{d.data(), stdex::extents{64, 128}};
ASSERT_EQ(m.data(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 64);
ASSERT_EQ(m.extent(1), 128);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdarrayCTAD, extents_std_array) {
std::array<int, 1> d{42};
stdex::mdarray m{d.data(), std::array{64, 128}};
ASSERT_EQ(m.data(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 64);
ASSERT_EQ(m.extent(1), 128);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdarrayCTAD, layout_left) {
std::array<int, 1> d{42};
stdex::mdarray m0{d.data(), stdex::layout_left::mapping{stdex::extents{16, 32}}};
ASSERT_EQ(m0.data(), d.data());
ASSERT_EQ(m0.rank(), 2);
ASSERT_EQ(m0.rank_dynamic(), 2);
ASSERT_EQ(m0.extent(0), 16);
ASSERT_EQ(m0.extent(1), 32);
ASSERT_EQ(m0.stride(0), 1);
ASSERT_EQ(m0.stride(1), 16);
ASSERT_TRUE(m0.is_exhaustive());
// TODO: Perhaps one day I'll get this to work.
/*
stdex::mdarray m1{d.data(), stdex::layout_left::mapping{{16, 32}}};
ASSERT_EQ(m1.data(), d.data());
ASSERT_EQ(m1.rank(), 2);
ASSERT_EQ(m1.rank_dynamic(), 2);
ASSERT_EQ(m1.extent(0), 16);
ASSERT_EQ(m1.extent(1), 32);
ASSERT_EQ(m1.stride(0), 1);
ASSERT_EQ(m1.stride(1), 16);
ASSERT_TRUE(m1.is_exhaustive());
*/
}
TEST(TestMdarrayCTAD, layout_right) {
std::array<int, 1> d{42};
stdex::mdarray m0{d.data(), stdex::layout_right::mapping{stdex::extents{16, 32}}};
ASSERT_EQ(m0.data(), d.data());
ASSERT_EQ(m0.rank(), 2);
ASSERT_EQ(m0.rank_dynamic(), 2);
ASSERT_EQ(m0.extent(0), 16);
ASSERT_EQ(m0.extent(1), 32);
ASSERT_EQ(m0.stride(0), 32);
ASSERT_EQ(m0.stride(1), 1);
ASSERT_TRUE(m0.is_exhaustive());
// TODO: Perhaps one day I'll get this to work.
/*
stdex::mdarray m1{d.data(), stdex::layout_right::mapping{{16, 32}}};
ASSERT_EQ(m1.data(), d.data());
ASSERT_EQ(m1.rank(), 2);
ASSERT_EQ(m1.rank_dynamic(), 2);
ASSERT_EQ(m1.extent(0), 16);
ASSERT_EQ(m1.extent(1), 32);
ASSERT_EQ(m1.stride(0), 32);
ASSERT_EQ(m1.stride(1), 1);
ASSERT_TRUE(m1.is_exhaustive());
*/
}
TEST(TestMdarrayCTAD, layout_stride) {
std::array<int, 1> d{42};
stdex::mdarray m0{d.data(), stdex::layout_stride::mapping{stdex::extents{16, 32}, std::array{1, 128}}};
ASSERT_EQ(m0.data(), d.data());
ASSERT_EQ(m0.rank(), 2);
ASSERT_EQ(m0.rank_dynamic(), 2);
ASSERT_EQ(m0.extent(0), 16);
ASSERT_EQ(m0.extent(1), 32);
ASSERT_EQ(m0.stride(0), 1);
ASSERT_EQ(m0.stride(1), 128);
ASSERT_FALSE(m0.is_exhaustive());
/*
stdex::mdarray m1{d.data(), stdex::layout_stride::mapping{stdex::extents{16, 32}, stdex::extents{1, 128}}};
ASSERT_EQ(m1.data(), d.data());
ASSERT_EQ(m1.rank(), 2);
ASSERT_EQ(m1.rank_dynamic(), 2);
ASSERT_EQ(m1.extent(0), 16);
ASSERT_EQ(m1.extent(1), 32);
ASSERT_EQ(m1.stride(0), 1);
ASSERT_EQ(m1.stride(1), 128);
ASSERT_FALSE(m1.is_exhaustive());
*/
// TODO: Perhaps one day I'll get this to work.
/*
stdex::mdarray m2{d.data(), stdex::layout_stride::mapping{{16, 32}, {1, 128}}};
ASSERT_EQ(m2.data(), d.data());
ASSERT_EQ(m2.rank(), 2);
ASSERT_EQ(m2.rank_dynamic(), 2);
ASSERT_EQ(m2.extent(0), 16);
ASSERT_EQ(m2.extent(1), 32);
ASSERT_EQ(m2.stride(0), 1);
ASSERT_EQ(m2.stride(1), 128);
ASSERT_FALSE(m2.is_exhaustive());
*/
}
#endif
#endif
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/offload_utils.hpp |
namespace {
bool dispatch_host = true;
#define __MDSPAN_DEVICE_ASSERT_EQ(LHS, RHS) \
if (!(LHS == RHS)) { \
printf("expected equality of %s and %s\n", #LHS, #RHS); \
errors[0]++; \
}
#ifdef _MDSPAN_HAS_CUDA
template<class LAMBDA>
RAFT_KERNEL dispatch_kernel(const LAMBDA f) {
f();
}
template<class LAMBDA>
void dispatch(LAMBDA&& f) {
if(dispatch_host) {
static_cast<LAMBDA&&>(f)();
} else {
dispatch_kernel<<<1,1>>>(static_cast<LAMBDA&&>(f));
cudaDeviceSynchronize();
}
}
template<class T>
T* allocate_array(size_t size) {
T* ptr = nullptr;
if(dispatch_host == true)
ptr = new T[size];
else
cudaMallocManaged(&ptr, sizeof(T)*size);
return ptr;
}
template<class T>
void free_array(T* ptr) {
if(dispatch_host == true)
delete [] ptr;
else
cudaFree(ptr);
}
#define __MDSPAN_TESTS_RUN_TEST(A) \
dispatch_host = true; \
A; \
dispatch_host = false; \
A;
#define __MDSPAN_TESTS_DISPATCH_DEFINED
#endif // _MDSPAN_HAS_CUDA
#ifndef __MDSPAN_TESTS_DISPATCH_DEFINED
template<class LAMBDA>
void dispatch(LAMBDA&& f) {
static_cast<LAMBDA&&>(f)();
}
template<class T>
T* allocate_array(size_t size) {
T* ptr = nullptr;
ptr = new T[size];
return ptr;
}
template<class T>
void free_array(T* ptr) {
delete [] ptr;
}
#define __MDSPAN_TESTS_RUN_TEST(A) \
dispatch_host = true; \
A;
#endif
} // namespace
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/CMakeLists.txt |
#The tests in CUDA use lambdas
if(MDSPAN_ENABLE_CUDA)
if(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --extended-lambda")
endif()
endif()
macro(mdspan_add_test name)
if(MDSPAN_TEST_LANGUAGE)
set_source_files_properties(${name} PROPERTIES LANGUAGE ${MDSPAN_TEST_LANGUAGE})
endif()
add_executable(${name} ${name}.cpp)
target_link_libraries(${name} mdspan gtest_main)
add_test(${name} ${name})
endmacro()
if(MDSPAN_USE_SYSTEM_GTEST)
find_package(GTest CONFIG REQUIRED)
add_library(gtest_main ALIAS GTest::gtest_main)
else()
# adapted from https://github.com/google/googletest/blob/master/googletest/README.md
configure_file(${PROJECT_SOURCE_DIR}/cmake/googletest/CMakeLists.txt.in googletest-download/CMakeLists.txt)
execute_process(COMMAND ${CMAKE_COMMAND} -G "${CMAKE_GENERATOR}" .
RESULT_VARIABLE result
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/googletest-download
)
if(result)
message(FATAL_ERROR "CMake step for googletest failed: ${result}")
endif()
execute_process(COMMAND ${CMAKE_COMMAND} --build .
RESULT_VARIABLE result
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/googletest-download
)
if(result)
message(FATAL_ERROR "Build step for googletest failed: ${result}")
endif()
# Prevent overriding the parent project's compiler/linker
# settings on Windows
set(gtest_force_shared_crt ON CACHE BOOL "" FORCE)
# Add googletest directly to our build. This defines
# the gtest and gtest_main targets.
add_subdirectory(${CMAKE_CURRENT_BINARY_DIR}/googletest-src
${CMAKE_CURRENT_BINARY_DIR}/googletest-build
EXCLUDE_FROM_ALL
)
endif()
mdspan_add_test(test_extents)
mdspan_add_test(test_mdspan_ctors)
mdspan_add_test(test_mdspan_conversion)
mdspan_add_test(test_element_access)
mdspan_add_test(test_exhaustive_layouts)
mdspan_add_test(test_layout_ctors)
mdspan_add_test(test_layout_stride)
mdspan_add_test(test_submdspan)
mdspan_add_test(test_mdarray_ctors)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/test_layout_stride.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <gtest/gtest.h>
namespace stdex = std::experimental;
_MDSPAN_INLINE_VARIABLE constexpr auto dyn = stdex::dynamic_extent;
template <class> struct TestLayoutStride;
template <size_t... Extents, size_t... DynamicSizes, size_t... StaticStrides, size_t... DynamicStrides>
struct TestLayoutStride<std::tuple<
stdex::extents<size_t,Extents...>,
std::integer_sequence<size_t, DynamicSizes...>,
std::integer_sequence<size_t, StaticStrides...>,
std::integer_sequence<size_t, DynamicStrides...>
>> : public ::testing::Test {
using extents_type = stdex::extents<size_t,Extents...>;
using mapping_type = typename stdex::layout_stride::template mapping<extents_type>;
mapping_type map = { extents_type{ DynamicSizes... }, std::array<size_t, sizeof...(DynamicStrides)>{ DynamicStrides... } };
};
template <size_t... Extents>
using _exts = stdex::extents<size_t,Extents...>;
template <size_t... Vals>
using _ints = std::integer_sequence<size_t, Vals...>;
template <class E, class DSz, class SStr, class DStr>
using layout_stride_case_t =
std::tuple<E, DSz, SStr, DStr>;
using extents_345_t = stdex::extents<size_t,3, 4, 5>;
using extents_3dyn5_t = stdex::extents<size_t,3, dyn, 5>;
using extents_ddd_t = stdex::extents<size_t,dyn, dyn, dyn>;
using zero_stride_maps =
::testing::Types<
layout_stride_case_t<extents_345_t, _ints<>, _ints<dyn, dyn, dyn>, _ints<0, 0, 0>>,
layout_stride_case_t<extents_3dyn5_t, _ints<4>, _ints<dyn, dyn, dyn>, _ints<0, 0, 0>>,
layout_stride_case_t<extents_ddd_t, _ints<3, 4, 5>, _ints<dyn, dyn, dyn>, _ints<0, 0, 0>>
>;
template <class T>
struct TestLayoutStrideAllZero : TestLayoutStride<T> { };
TYPED_TEST_SUITE(TestLayoutStrideAllZero, zero_stride_maps);
TYPED_TEST(TestLayoutStrideAllZero, test_required_span_size) {
ASSERT_EQ(this->map.required_span_size(), 1);
}
TYPED_TEST(TestLayoutStrideAllZero, test_mapping) {
using index_type = decltype(this->map.extents().extent(0));
for(index_type i = 0; i < this->map.extents().extent(0); ++i) {
for(index_type j = 0; j < this->map.extents().extent(1); ++j) {
for (index_type k = 0; k < this->map.extents().extent(2); ++k) {
ASSERT_EQ(this->map(i, j, k), 0);
}
}
}
}
TEST(TestLayoutStrideListInitialization, test_list_initialization) {
stdex::layout_stride::mapping<stdex::extents<size_t,dyn, dyn>> m{stdex::dextents<size_t,2>{16, 32}, std::array<int,2>{1, 128}};
ASSERT_EQ(m.extents().rank(), 2);
ASSERT_EQ(m.extents().rank_dynamic(), 2);
ASSERT_EQ(m.extents().extent(0), 16);
ASSERT_EQ(m.extents().extent(1), 32);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(m.stride(1), 128);
ASSERT_EQ(m.strides()[0], 1);
ASSERT_EQ(m.strides()[1], 128);
ASSERT_FALSE(m.is_exhaustive());
}
// This fails on GCC 9.2 and others
#if defined(_MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION)
TEST(TestLayoutStrideCTAD, test_ctad) {
// This is not possible wiht the array constructor we actually provide
/*
stdex::layout_stride::mapping m0{stdex::extents{16, 32}, stdex::extents{1, 128}};
ASSERT_EQ(m0.extents().rank(), 2);
ASSERT_EQ(m0.extents().rank_dynamic(), 2);
ASSERT_EQ(m0.extents().extent(0), 16);
ASSERT_EQ(m0.extents().extent(1), 32);
ASSERT_EQ(m0.stride(0), 1);
ASSERT_EQ(m0.stride(1), 128);
ASSERT_EQ(m0.strides(), (std::array<std::size_t, 2>{1, 128}));
ASSERT_FALSE(m0.is_exhaustive());
*/
stdex::layout_stride::mapping m1{stdex::extents{16, 32}, std::array{1, 128}};
ASSERT_EQ(m1.extents().rank(), 2);
ASSERT_EQ(m1.extents().rank_dynamic(), 2);
ASSERT_EQ(m1.extents().extent(0), 16);
ASSERT_EQ(m1.extents().extent(1), 32);
ASSERT_EQ(m1.stride(0), 1);
ASSERT_EQ(m1.stride(1), 128);
ASSERT_EQ(m1.strides()[0], 1);
ASSERT_EQ(m1.strides()[1], 128);
ASSERT_FALSE(m1.is_exhaustive());
// TODO These won't work with our current implementation, because the array will
// be deduced as the extent type, leading to a `static_assert`. We can probably
// get around this with a clever refactoring, or by using an alias template for
// `mapping` and deduction guides.
/*
stdex::layout_stride::mapping m2{std::array{16, 32}, stdex::extents{1, 128}};
ASSERT_EQ(m2.extents().rank(), 2);
ASSERT_EQ(m2.extents().rank_dynamic(), 2);
ASSERT_EQ(m2.extents().extent(0), 16);
ASSERT_EQ(m2.extents().extent(1), 32);
ASSERT_EQ(m2.stride(0), 1);
ASSERT_EQ(m2.stride(1), 128);
ASSERT_FALSE(m2.is_exhaustive());
stdex::layout_stride::mapping m3{std::array{16, 32}, std::array{1, 128}};
ASSERT_EQ(m3.extents().rank(), 2);
ASSERT_EQ(m3.extents().rank_dynamic(), 2);
ASSERT_EQ(m3.extents().extent(0), 16);
ASSERT_EQ(m3.extents().extent(1), 32);
ASSERT_EQ(m3.stride(0), 1);
ASSERT_EQ(m3.stride(1), 128);
ASSERT_FALSE(m3.is_exhaustive());
*/
}
#endif
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/test_extents.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2021) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include "offload_utils.hpp"
#include <gtest/gtest.h>
namespace stdex = std::experimental;
// Making actual test implementations part of the class,
// can't create CUDA lambdas in the primary test functions, since they are private
// making a non-member function would require replicating all the type info
template <class> struct TestExtents;
template <size_t... Extents, size_t... DynamicSizes>
struct TestExtents<
std::tuple<
stdex::extents<size_t, Extents...>,
std::integer_sequence<size_t, DynamicSizes...>
>
> : public ::testing::Test {
using extents_type = stdex::extents<size_t,Extents...>;
// Double Braces here to make it work with GCC 5
// Otherwise: "error: array must be initialized with a brace-enclosed initializer"
const std::array<size_t, sizeof...(Extents)> static_sizes {{ Extents... }};
const std::array<size_t, sizeof...(DynamicSizes)> dyn_sizes {{ DynamicSizes... }};
extents_type exts { DynamicSizes... };
using Fixture = TestExtents< std::tuple<
stdex::extents<size_t,Extents...>,
std::integer_sequence<size_t, DynamicSizes...>
>>;
void test_rank() {
size_t* result = allocate_array<size_t>(2);
dispatch([=] _MDSPAN_HOST_DEVICE () {
extents_type _exts(DynamicSizes...);
// Silencing an unused warning in nvc++ the condition will never be true
size_t dyn_val = exts.rank()>0?static_cast<size_t>(_exts.extent(0)):1;
result[0] = dyn_val > 1e9 ? dyn_val : _exts.rank();
result[1] = _exts.rank_dynamic();
// Some compilers warn about unused _exts since the functions are all static constexpr
(void) _exts;
});
EXPECT_EQ(result[0], static_sizes.size());
EXPECT_EQ(result[1], dyn_sizes.size());
free_array(result);
}
void test_static_extent() {
size_t* result = allocate_array<size_t>(extents_type::rank());
dispatch([=] _MDSPAN_HOST_DEVICE () {
extents_type _exts(DynamicSizes...);
for(size_t r=0; r<_exts.rank(); r++) {
// Silencing an unused warning in nvc++ the condition will never be true
size_t dyn_val = static_cast<size_t>(_exts.extent(r));
result[r] = dyn_val > 1e9 ? dyn_val : _exts.static_extent(r);
}
// Some compilers warn about unused _exts since the functions are all static constexpr
(void) _exts;
});
for(size_t r=0; r<extents_type::rank(); r++) {
EXPECT_EQ(result[r], static_sizes[r]);
}
free_array(result);
}
void test_extent() {
size_t* result = allocate_array<size_t>(extents_type::rank());
dispatch([=] _MDSPAN_HOST_DEVICE () {
extents_type _exts(DynamicSizes...);
for(size_t r=0; r<_exts.rank(); r++ )
result[r] = _exts.extent(r);
// Some compilers warn about unused _exts since the functions are all static constexpr
(void) _exts;
});
int dyn_count = 0;
for(size_t r=0; r<extents_type::rank(); r++) {
bool is_dynamic = static_sizes[r] == stdex::dynamic_extent;
auto expected = is_dynamic ? dyn_sizes[dyn_count++] : static_sizes[r];
EXPECT_EQ(result[r], expected);
}
free_array(result);
}
};
template <size_t... Ds>
using _sizes = std::integer_sequence<size_t, Ds...>;
template <size_t... Ds>
using _exts = stdex::extents<size_t,Ds...>;
using extents_test_types =
::testing::Types<
std::tuple<_exts<10>, _sizes<>>,
std::tuple<_exts<stdex::dynamic_extent>, _sizes<10>>,
std::tuple<_exts<10, 3>, _sizes<>>,
std::tuple<_exts<stdex::dynamic_extent, 3>, _sizes<10>>,
std::tuple<_exts<10, stdex::dynamic_extent>, _sizes<3>>,
std::tuple<_exts<stdex::dynamic_extent, stdex::dynamic_extent>, _sizes<10, 3>>
>;
TYPED_TEST_SUITE(TestExtents, extents_test_types);
TYPED_TEST(TestExtents, rank) {
__MDSPAN_TESTS_RUN_TEST(this->test_rank())
}
TYPED_TEST(TestExtents, static_extent) {
__MDSPAN_TESTS_RUN_TEST(this->test_static_extent())
}
TYPED_TEST(TestExtents, extent) {
__MDSPAN_TESTS_RUN_TEST(this->test_extent())
}
TYPED_TEST(TestExtents, default_ctor) {
auto e = typename TestFixture::extents_type();
auto e2 = typename TestFixture::extents_type{};
EXPECT_EQ(e, e2);
for (size_t r = 0; r < e.rank(); ++r) {
bool is_dynamic = (e.static_extent(r) == stdex::dynamic_extent);
EXPECT_EQ(e.extent(r), is_dynamic ? 0 : e.static_extent(r));
}
}
TYPED_TEST(TestExtents, array_ctor) {
auto e = typename TestFixture::extents_type(this->dyn_sizes);
EXPECT_EQ(e, this->exts);
}
TYPED_TEST(TestExtents, copy_ctor) {
typename TestFixture::extents_type e { this->exts };
EXPECT_EQ(e, this->exts);
}
TYPED_TEST(TestExtents, copy_assign) {
typename TestFixture::extents_type e;
e = this->exts;
EXPECT_EQ(e, this->exts);
}
// Only types can be part of the gtest type iteration
// so i need this wrapper to wrap around true/false values
template<bool Val1, bool Val2>
struct _BoolPairDeducer {
static constexpr bool val1 = Val1;
static constexpr bool val2 = Val2;
};
template <class> struct TestExtentsCompatCtors;
template <size_t... Extents, size_t... DynamicSizes, size_t... Extents2, size_t... DynamicSizes2, bool ImplicitExts1ToExts2, bool ImplicitExts2ToExts1>
struct TestExtentsCompatCtors<std::tuple<
stdex::extents<size_t,Extents...>,
std::integer_sequence<size_t, DynamicSizes...>,
stdex::extents<size_t,Extents2...>,
std::integer_sequence<size_t, DynamicSizes2...>,
_BoolPairDeducer<ImplicitExts1ToExts2,ImplicitExts2ToExts1>
>> : public ::testing::Test {
using extents_type1 = stdex::extents<size_t,Extents...>;
using extents_type2 = stdex::extents<size_t,Extents2...>;
extents_type1 exts1 { DynamicSizes... };
extents_type2 exts2 { DynamicSizes2... };
static constexpr bool implicit_exts1_to_exts2 = ImplicitExts1ToExts2;
static constexpr bool implicit_exts2_to_exts1 = ImplicitExts2ToExts1;
// Idx starts at rank()
template<class Exts, size_t Idx, bool construct_all, bool Static>
struct make_extents;
// Construct all extents - doesn't matter if idx is static or not
template<class Exts, size_t Idx, bool Static>
struct make_extents<Exts,Idx,true,Static>
{
template<class ... SizeTypes>
static Exts construct(SizeTypes...sizes) {
return make_extents<Exts, Idx-1,true,Static>::construct(Idx*5, sizes...);
}
};
// Construct dynamic extents - opnly add a parameter if the current index is not static
template<class Exts, size_t Idx>
struct make_extents<Exts,Idx,false,false>
{
template<class ... SizeTypes>
static Exts construct(SizeTypes...sizes) {
return make_extents<Exts, Idx-1,false,(Idx>1?Exts::static_extent(Idx-2)!=stdex::dynamic_extent:true)>::construct(Idx*5, sizes...);
}
};
template<class Exts, size_t Idx>
struct make_extents<Exts,Idx,false,true>
{
template<class ... SizeTypes>
static Exts construct(SizeTypes...sizes) {
return make_extents<Exts, Idx-1,false,(Idx>1?Exts::static_extent(Idx-2)!=stdex::dynamic_extent:true)>::construct(sizes...);
}
};
// End case
template<class Exts>
struct make_extents<Exts,0,false,true> {
template<class ... SizeTypes>
static Exts construct(SizeTypes...sizes) {
return Exts{sizes...};
}
};
template<class Exts>
struct make_extents<Exts,0,true,true> {
template<class ... SizeTypes>
static Exts construct(SizeTypes...sizes) {
return Exts{sizes...};
}
};
};
using compatible_extents_test_types =
::testing::Types<
std::tuple<_exts<stdex::dynamic_extent>, _sizes<5>, _exts<5>, _sizes<>, _BoolPairDeducer<false,true>>,
std::tuple<_exts<5>, _sizes<>, _exts<stdex::dynamic_extent>, _sizes<5>, _BoolPairDeducer<true,false>>,
//--------------------
std::tuple<_exts<stdex::dynamic_extent, 10>, _sizes<5>, _exts<5, stdex::dynamic_extent>, _sizes<10>, _BoolPairDeducer<false, false>>,
std::tuple<_exts<stdex::dynamic_extent, stdex::dynamic_extent>, _sizes<5, 10>, _exts<5, stdex::dynamic_extent>, _sizes<10>, _BoolPairDeducer<false, true>>,
std::tuple<_exts<stdex::dynamic_extent, stdex::dynamic_extent>, _sizes<5, 10>, _exts<stdex::dynamic_extent, 10>, _sizes<5>, _BoolPairDeducer<false, true>>,
std::tuple<_exts<stdex::dynamic_extent, stdex::dynamic_extent>, _sizes<5, 10>, _exts<5, 10>, _sizes<>, _BoolPairDeducer<false, true>>,
std::tuple<_exts<5, 10>, _sizes<>, _exts<5, stdex::dynamic_extent>, _sizes<10>, _BoolPairDeducer<true, false>>,
std::tuple<_exts<5, 10>, _sizes<>, _exts<stdex::dynamic_extent, 10>, _sizes<5>, _BoolPairDeducer<true, false>>,
//--------------------
std::tuple<_exts<stdex::dynamic_extent, stdex::dynamic_extent, 15>, _sizes<5, 10>, _exts<5, stdex::dynamic_extent, 15>, _sizes<10>, _BoolPairDeducer<false, true>>,
std::tuple<_exts<5, 10, 15>, _sizes<>, _exts<5, stdex::dynamic_extent, 15>, _sizes<10>, _BoolPairDeducer<true, false>>,
std::tuple<_exts<5, 10, 15>, _sizes<>, _exts<stdex::dynamic_extent, stdex::dynamic_extent, stdex::dynamic_extent>, _sizes<5, 10, 15>, _BoolPairDeducer<true, false>>
>;
TYPED_TEST_SUITE(TestExtentsCompatCtors, compatible_extents_test_types);
TYPED_TEST(TestExtentsCompatCtors, compatible_construct_1) {
auto e1 = typename TestFixture::extents_type1(this->exts2);
EXPECT_EQ(e1, this->exts2);
}
TYPED_TEST(TestExtentsCompatCtors, compatible_construct_2) {
auto e2 = typename TestFixture::extents_type2(this->exts1);
EXPECT_EQ(e2, this->exts1);
}
TYPED_TEST(TestExtentsCompatCtors, compatible_assign_1) {
#if MDSPAN_HAS_CXX_17
if constexpr(std::is_convertible_v<typename TestFixture::extents_type2,
typename TestFixture::extents_type1>) {
this->exts1 = this->exts2;
} else {
this->exts1 = typename TestFixture::extents_type1(this->exts2);
}
#else
this->exts1 = typename TestFixture::extents_type1(this->exts2);
#endif
EXPECT_EQ(this->exts1, this->exts2);
}
TYPED_TEST(TestExtentsCompatCtors, compatible_assign_2) {
#if MDSPAN_HAS_CXX_17
if constexpr(std::is_convertible_v<typename TestFixture::extents_type1,
typename TestFixture::extents_type2>) {
this->exts2 = this->exts1;
} else {
this->exts2 = typename TestFixture::extents_type2(this->exts1);
}
#else
this->exts2 = typename TestFixture::extents_type2(this->exts1);
#endif
EXPECT_EQ(this->exts1, this->exts2);
}
template<class Extents, bool>
struct ImplicitConversionToExts;
template<class Extents>
struct ImplicitConversionToExts<Extents,true> {
static bool convert(Extents) {
return true;
}
};
template<class Extents>
struct ImplicitConversionToExts<Extents,false> {
template<class E>
static bool convert(E) {
return false;
}
};
#ifdef _MDSPAN_USE_CONDITIONAL_EXPLICIT
TYPED_TEST(TestExtentsCompatCtors, implicit_construct_1) {
bool exts1_convertible_exts2 =
std::is_convertible<typename TestFixture::extents_type1,
typename TestFixture::extents_type2>::value;
bool exts2_convertible_exts1 =
std::is_convertible<typename TestFixture::extents_type2,
typename TestFixture::extents_type1>::value;
bool exts1_implicit_exts2 = ImplicitConversionToExts<
typename TestFixture::extents_type2,
TestFixture::implicit_exts1_to_exts2>::convert(this->exts1);
bool exts2_implicit_exts1 = ImplicitConversionToExts<
typename TestFixture::extents_type1,
TestFixture::implicit_exts2_to_exts1>::convert(this->exts2);
EXPECT_EQ(exts1_convertible_exts2,exts1_implicit_exts2);
EXPECT_EQ(exts2_convertible_exts1,exts2_implicit_exts1);
EXPECT_EQ(exts1_convertible_exts2,TestFixture::implicit_exts1_to_exts2);
EXPECT_EQ(exts2_convertible_exts1,TestFixture::implicit_exts2_to_exts1);
}
#endif
TEST(TestExtentsCtorStdArrayConvertibleToSizeT, test_extents_ctor_std_array_convertible_to_size_t) {
std::array<int, 2> i{2, 2};
stdex::dextents<size_t,2> e{i};
ASSERT_EQ(e.rank(), 2);
ASSERT_EQ(e.rank_dynamic(), 2);
ASSERT_EQ(e.extent(0), 2);
ASSERT_EQ(e.extent(1), 2);
}
#ifdef __cpp_lib_span
TEST(TestExtentsCtorStdArrayConvertibleToSizeT, test_extents_ctor_std_span_convertible_to_size_t) {
std::array<int, 2> i{2, 2};
std::span<int ,2> s(i.data(),2);
stdex::dextents<size_t,2> e{s};
ASSERT_EQ(e.rank(), 2);
ASSERT_EQ(e.rank_dynamic(), 2);
ASSERT_EQ(e.extent(0), 2);
ASSERT_EQ(e.extent(1), 2);
}
#endif
TYPED_TEST(TestExtentsCompatCtors, construct_from_dynamic_sizes) {
using e1_t = typename TestFixture::extents_type1;
constexpr bool e1_last_ext_static = e1_t::rank()>0?e1_t::static_extent(e1_t::rank()-1)!=stdex::dynamic_extent:true;
e1_t e1 = TestFixture::template make_extents<e1_t,e1_t::rank(),false,e1_last_ext_static>::construct();
for(size_t r=0; r<e1.rank(); r++)
ASSERT_EQ(e1.extent(r), (r+1)*5);
using e2_t = typename TestFixture::extents_type2;
constexpr bool e2_last_ext_static = e2_t::rank()>0?e2_t::static_extent(e2_t::rank()-1)!=stdex::dynamic_extent:true;
e2_t e2 = TestFixture::template make_extents<e2_t,e2_t::rank(),false,e2_last_ext_static>::construct();
for(size_t r=0; r<e2.rank(); r++)
ASSERT_EQ(e2.extent(r), (r+1)*5);
}
TYPED_TEST(TestExtentsCompatCtors, construct_from_all_sizes) {
using e1_t = typename TestFixture::extents_type1;
e1_t e1 = TestFixture::template make_extents<e1_t,e1_t::rank(),true,true>::construct();
for(size_t r=0; r<e1.rank(); r++)
ASSERT_EQ(e1.extent(r), (r+1)*5);
using e2_t = typename TestFixture::extents_type2;
e2_t e2 = TestFixture::template make_extents<e2_t,e1_t::rank(),true,true>::construct();
for(size_t r=0; r<e2.rank(); r++)
ASSERT_EQ(e2.extent(r), (r+1)*5);
}
TYPED_TEST(TestExtentsCompatCtors, construct_from_dynamic_array) {
using e1_t = typename TestFixture::extents_type1;
std::array<int, e1_t::rank_dynamic()> ext1_array_dynamic;
int dyn_idx = 0;
for(size_t r=0; r<e1_t::rank(); r++) {
if(e1_t::static_extent(r)==stdex::dynamic_extent) {
ext1_array_dynamic[dyn_idx] = static_cast<int>((r+1)*5);
dyn_idx++;
}
}
e1_t e1(ext1_array_dynamic);
for(size_t r=0; r<e1.rank(); r++)
ASSERT_EQ(e1.extent(r), (r+1)*5);
using e2_t = typename TestFixture::extents_type2;
std::array<int, e2_t::rank_dynamic()> ext2_array_dynamic;
dyn_idx = 0;
for(size_t r=0; r<e2_t::rank(); r++) {
if(e2_t::static_extent(r)==stdex::dynamic_extent) {
ext2_array_dynamic[dyn_idx] = static_cast<int>((r+1)*5);
dyn_idx++;
}
}
e2_t e2(ext2_array_dynamic);
for(size_t r=0; r<e2.rank(); r++)
ASSERT_EQ(e2.extent(r), (r+1)*5);
}
TYPED_TEST(TestExtentsCompatCtors, construct_from_all_array) {
using e1_t = typename TestFixture::extents_type1;
std::array<int, e1_t::rank()> ext1_array_all;
for(size_t r=0; r<e1_t::rank(); r++) ext1_array_all[r] = static_cast<int>((r+1)*5);
e1_t e1(ext1_array_all);
for(size_t r=0; r<e1.rank(); r++)
ASSERT_EQ(e1.extent(r), (r+1)*5);
using e2_t = typename TestFixture::extents_type2;
std::array<int, e2_t::rank()> ext2_array_all;
for(size_t r=0; r<e2_t::rank(); r++) ext2_array_all[r] = static_cast<int>((r+1)*5);
e2_t e2(ext2_array_all);
for(size_t r=0; r<e2.rank(); r++)
ASSERT_EQ(e2.extent(r), (r+1)*5);
}
#if defined(_MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION)
TEST(TestExtentsCTADPack, test_extents_ctad_pack) {
stdex::extents m0;
ASSERT_EQ(m0.rank(), 0);
ASSERT_EQ(m0.rank_dynamic(), 0);
stdex::extents m1(64);
ASSERT_EQ(m1.rank(), 1);
ASSERT_EQ(m1.rank_dynamic(), 1);
ASSERT_EQ(m1.extent(0), 64);
stdex::extents m2(64, 128);
ASSERT_EQ(m2.rank(), 2);
ASSERT_EQ(m2.rank_dynamic(), 2);
ASSERT_EQ(m2.extent(0), 64);
ASSERT_EQ(m2.extent(1), 128);
stdex::extents m3(64, 128, 256);
ASSERT_EQ(m3.rank(), 3);
ASSERT_EQ(m3.rank_dynamic(), 3);
ASSERT_EQ(m3.extent(0), 64);
ASSERT_EQ(m3.extent(1), 128);
ASSERT_EQ(m3.extent(2), 256);
}
// TODO: It appears to currently be impossible to write a deduction guide that
// makes this work.
/*
TEST(TestExtentsCTADStdArray, test_extents_ctad_std_array) {
stdex::extents m0{std::array<size_t, 0>{}};
ASSERT_EQ(m0.rank(), 0);
ASSERT_EQ(m0.rank_dynamic(), 0);
// TODO: `extents` should accept an array of any type convertible to `size_t`.
stdex::extents m1{std::array{64UL}};
ASSERT_EQ(m1.rank(), 1);
ASSERT_EQ(m1.rank_dynamic(), 1);
ASSERT_EQ(m1.extent(0), 64);
// TODO: `extents` should accept an array of any type convertible to `size_t`.
stdex::extents m2{std::array{64UL, 128UL}};
ASSERT_EQ(m2.rank(), 2);
ASSERT_EQ(m2.rank_dynamic(), 2);
ASSERT_EQ(m2.extent(0), 64);
ASSERT_EQ(m2.extent(1), 128);
// TODO: `extents` should accept an array of any type convertible to `size_t`.
stdex::extents m3{std::array{64UL, 128UL, 256UL}};
ASSERT_EQ(m3.rank(), 3);
ASSERT_EQ(m3.rank_dynamic(), 3);
ASSERT_EQ(m3.extent(0), 64);
ASSERT_EQ(m3.extent(1), 128);
ASSERT_EQ(m3.extent(2), 256);
}
*/
#endif
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/test_mdspan_ctors.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <vector>
#include <gtest/gtest.h>
#include "offload_utils.hpp"
namespace stdex = std::experimental;
_MDSPAN_INLINE_VARIABLE constexpr auto dyn = stdex::dynamic_extent;
void test_mdspan_ctor_data_carray() {
size_t* errors = allocate_array<size_t>(1);
errors[0] = 0;
dispatch([=] _MDSPAN_HOST_DEVICE () {
int data[1] = {42};
stdex::mdspan<int, stdex::extents<size_t,1>> m(data);
__MDSPAN_DEVICE_ASSERT_EQ(m.data_handle(), data);
__MDSPAN_DEVICE_ASSERT_EQ(m.rank(), 1);
__MDSPAN_DEVICE_ASSERT_EQ(m.rank_dynamic(), 0);
__MDSPAN_DEVICE_ASSERT_EQ(m.extent(0), 1);
__MDSPAN_DEVICE_ASSERT_EQ(m.static_extent(0), 1);
__MDSPAN_DEVICE_ASSERT_EQ(m.stride(0), 1);
auto val = __MDSPAN_OP(m,0);
__MDSPAN_DEVICE_ASSERT_EQ(val, 42);
__MDSPAN_DEVICE_ASSERT_EQ(m.is_exhaustive(), true);
});
ASSERT_EQ(errors[0], 0);
free_array(errors);
}
TEST(TestMdspanCtorDataCArray, test_mdspan_ctor_data_carray) {
__MDSPAN_TESTS_RUN_TEST(test_mdspan_ctor_data_carray())
}
TEST(TestMdspanCtorDataStdArray, test_mdspan_ctor_data_carray) {
std::array<int, 1> d = {42};
stdex::mdspan<int, stdex::extents<size_t,1>> m(d.data());
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 1);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_EQ(m.extent(0), 1);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(__MDSPAN_OP(m, 0), 42);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCtorDataVector, test_mdspan_ctor_data_carray) {
std::vector<int> d = {42};
stdex::mdspan<int, stdex::extents<size_t,1>> m(d.data());
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 1);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_EQ(m.extent(0), 1);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(__MDSPAN_OP(m, 0), 42);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCtorExtentsStdArrayConvertibleToSizeT, test_mdspan_ctor_extents_std_array_convertible_to_size_t) {
std::array<int, 4> d{42, 17, 71, 24};
std::array<int, 2> e{2, 2};
stdex::mdspan<int, stdex::dextents<size_t,2>> m(d.data(), e);
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 2);
ASSERT_EQ(m.extent(1), 2);
ASSERT_EQ(m.stride(0), 2);
ASSERT_EQ(m.stride(1), 1);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanListInitializationLayoutLeft, test_mdspan_list_initialization_layout_left) {
std::array<int, 1> d{42};
stdex::mdspan<int, stdex::extents<size_t,dyn, dyn>, stdex::layout_left> m{d.data(), 16, 32};
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 16);
ASSERT_EQ(m.extent(1), 32);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(m.stride(1), 16);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanListInitializationLayoutRight, test_mdspan_list_initialization_layout_right) {
std::array<int, 1> d{42};
stdex::mdspan<int, stdex::extents<size_t,dyn, dyn>, stdex::layout_right> m{d.data(), 16, 32};
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 16);
ASSERT_EQ(m.extent(1), 32);
ASSERT_EQ(m.stride(0), 32);
ASSERT_EQ(m.stride(1), 1);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanListInitializationLayoutStride, test_mdspan_list_initialization_layout_stride) {
std::array<int, 1> d{42};
stdex::mdspan<int, stdex::extents<size_t,dyn, dyn>, stdex::layout_stride> m{d.data(), {stdex::dextents<size_t,2>{16, 32}, std::array<std::size_t, 2>{1, 128}}};
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 16);
ASSERT_EQ(m.extent(1), 32);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(m.stride(1), 128);
ASSERT_FALSE(m.is_exhaustive());
}
#if defined(_MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION)
TEST(TestMdspanCTAD, extents_pack) {
std::array<int, 1> d{42};
stdex::mdspan m(d.data(), 64, 128);
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 64);
ASSERT_EQ(m.extent(1), 128);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCTAD, ctad_pointer) {
std::array<int,5> d = {1,2,3,4,5};
int* ptr = d.data();
stdex::mdspan m(ptr);
static_assert(std::is_same<decltype(m)::element_type,int>::value);
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 0);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCTAD, ctad_pointer_tmp) {
std::array<int,5> d = {1,2,3,4,5};
stdex::mdspan m(d.data());
static_assert(std::is_same<decltype(m)::element_type,int>::value);
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 0);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCTAD, ctad_pointer_move) {
std::array<int,5> d = {1,2,3,4,5};
int* ptr = d.data();
stdex::mdspan m(std::move(ptr));
static_assert(std::is_same<decltype(m)::element_type,int>::value);
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 0);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCTAD, ctad_carray) {
int data[5] = {1,2,3,4,5};
stdex::mdspan m(data);
static_assert(std::is_same<decltype(m)::element_type,int>::value);
ASSERT_EQ(m.data_handle(), &data[0]);
ASSERT_EQ(m.rank(), 1);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_EQ(m.static_extent(0), 5);
ASSERT_EQ(m.extent(0), 5);
ASSERT_EQ(__MDSPAN_OP(m, 2), 3);
ASSERT_TRUE(m.is_exhaustive());
stdex::mdspan m2(data, 3);
static_assert(std::is_same<decltype(m2)::element_type,int>::value);
ASSERT_EQ(m2.data_handle(), &data[0]);
ASSERT_EQ(m2.rank(), 1);
ASSERT_EQ(m2.rank_dynamic(), 1);
ASSERT_EQ(m2.extent(0), 3);
ASSERT_TRUE(m2.is_exhaustive());
ASSERT_EQ(__MDSPAN_OP(m2, 2), 3);
}
TEST(TestMdspanCTAD, ctad_const_carray) {
const int data[5] = {1,2,3,4,5};
stdex::mdspan m(data);
static_assert(std::is_same<typename decltype(m)::element_type,const int>::value);
ASSERT_EQ(m.data_handle(), &data[0]);
ASSERT_EQ(m.rank(), 1);
ASSERT_EQ(m.rank_dynamic(), 0);
ASSERT_EQ(m.static_extent(0), 5);
ASSERT_EQ(m.extent(0), 5);
ASSERT_EQ(__MDSPAN_OP(m, 2), 3);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCTAD, extents_object) {
std::array<int, 1> d{42};
stdex::mdspan m{d.data(), stdex::extents{64, 128}};
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 64);
ASSERT_EQ(m.extent(1), 128);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCTAD, extents_object_move) {
std::array<int, 1> d{42};
stdex::mdspan m{d.data(), std::move(stdex::extents{64, 128})};
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 64);
ASSERT_EQ(m.extent(1), 128);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCTAD, extents_std_array) {
std::array<int, 1> d{42};
stdex::mdspan m{d.data(), std::array{64, 128}};
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 64);
ASSERT_EQ(m.extent(1), 128);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCTAD, cptr_extents_std_array) {
std::array<int, 1> d{42};
const int* const ptr= d.data();
stdex::mdspan m{ptr, std::array{64, 128}};
static_assert(std::is_same<typename decltype(m)::element_type, const int>::value);
ASSERT_EQ(m.data_handle(), d.data());
ASSERT_EQ(m.rank(), 2);
ASSERT_EQ(m.rank_dynamic(), 2);
ASSERT_EQ(m.extent(0), 64);
ASSERT_EQ(m.extent(1), 128);
ASSERT_TRUE(m.is_exhaustive());
}
TEST(TestMdspanCTAD, layout_left) {
std::array<int, 1> d{42};
stdex::mdspan m0{d.data(), stdex::layout_left::mapping{stdex::extents{16, 32}}};
ASSERT_EQ(m0.data_handle(), d.data());
ASSERT_EQ(m0.rank(), 2);
ASSERT_EQ(m0.rank_dynamic(), 2);
ASSERT_EQ(m0.extent(0), 16);
ASSERT_EQ(m0.extent(1), 32);
ASSERT_EQ(m0.stride(0), 1);
ASSERT_EQ(m0.stride(1), 16);
ASSERT_TRUE(m0.is_exhaustive());
// TODO: Perhaps one day I'll get this to work.
/*
stdex::mdspan m1{d.data(), stdex::layout_left::mapping{{16, 32}}};
ASSERT_EQ(m1.data(), d.data());
ASSERT_EQ(m1.rank(), 2);
ASSERT_EQ(m1.rank_dynamic(), 2);
ASSERT_EQ(m1.extent(0), 16);
ASSERT_EQ(m1.extent(1), 32);
ASSERT_EQ(m1.stride(0), 1);
ASSERT_EQ(m1.stride(1), 16);
ASSERT_TRUE(m1.is_exhaustive());
*/
}
TEST(TestMdspanCTAD, layout_right) {
std::array<int, 1> d{42};
stdex::mdspan m0{d.data(), stdex::layout_right::mapping{stdex::extents{16, 32}}};
ASSERT_EQ(m0.data_handle(), d.data());
ASSERT_EQ(m0.rank(), 2);
ASSERT_EQ(m0.rank_dynamic(), 2);
ASSERT_EQ(m0.extent(0), 16);
ASSERT_EQ(m0.extent(1), 32);
ASSERT_EQ(m0.stride(0), 32);
ASSERT_EQ(m0.stride(1), 1);
ASSERT_TRUE(m0.is_exhaustive());
// TODO: Perhaps one day I'll get this to work.
/*
stdex::mdspan m1{d.data(), stdex::layout_right::mapping{{16, 32}}};
ASSERT_EQ(m1.data(), d.data());
ASSERT_EQ(m1.rank(), 2);
ASSERT_EQ(m1.rank_dynamic(), 2);
ASSERT_EQ(m1.extent(0), 16);
ASSERT_EQ(m1.extent(1), 32);
ASSERT_EQ(m1.stride(0), 32);
ASSERT_EQ(m1.stride(1), 1);
ASSERT_TRUE(m1.is_exhaustive());
*/
}
TEST(TestMdspanCTAD, layout_stride) {
std::array<int, 1> d{42};
stdex::mdspan m0{d.data(), stdex::layout_stride::mapping{stdex::extents{16, 32}, std::array{1, 128}}};
ASSERT_EQ(m0.data_handle(), d.data());
ASSERT_EQ(m0.rank(), 2);
ASSERT_EQ(m0.rank_dynamic(), 2);
ASSERT_EQ(m0.extent(0), 16);
ASSERT_EQ(m0.extent(1), 32);
ASSERT_EQ(m0.stride(0), 1);
ASSERT_EQ(m0.stride(1), 128);
ASSERT_FALSE(m0.is_exhaustive());
/*
stdex::mdspan m1{d.data(), stdex::layout_stride::mapping{stdex::extents{16, 32}, stdex::extents{1, 128}}};
ASSERT_EQ(m1.data(), d.data());
ASSERT_EQ(m1.rank(), 2);
ASSERT_EQ(m1.rank_dynamic(), 2);
ASSERT_EQ(m1.extent(0), 16);
ASSERT_EQ(m1.extent(1), 32);
ASSERT_EQ(m1.stride(0), 1);
ASSERT_EQ(m1.stride(1), 128);
ASSERT_FALSE(m1.is_exhaustive());
*/
// TODO: Perhaps one day I'll get this to work.
/*
stdex::mdspan m2{d.data(), stdex::layout_stride::mapping{{16, 32}, {1, 128}}};
ASSERT_EQ(m2.data_handle(), d.data());
ASSERT_EQ(m2.rank(), 2);
ASSERT_EQ(m2.rank_dynamic(), 2);
ASSERT_EQ(m2.extent(0), 16);
ASSERT_EQ(m2.extent(1), 32);
ASSERT_EQ(m2.stride(0), 1);
ASSERT_EQ(m2.stride(1), 128);
ASSERT_FALSE(m2.is_exhaustive());
*/
}
#endif
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/test_submdspan.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <vector>
#include <gtest/gtest.h>
namespace stdex = std::experimental;
_MDSPAN_INLINE_VARIABLE constexpr auto dyn = stdex::dynamic_extent;
TEST(TestSubmdspanLayoutRightStaticSizedRankReducing3Dto1D, test_submdspan_layout_right_static_sized_rank_reducing_3d_to_1d) {
std::vector<int> d(2 * 3 * 4, 0);
stdex::mdspan<int, stdex::extents<size_t,2, 3, 4>> m(d.data());
__MDSPAN_OP(m, 1, 1, 1) = 42;
auto sub0 = stdex::submdspan(m, 1, 1, stdex::full_extent);
ASSERT_EQ(sub0.rank(), 1);
ASSERT_EQ(sub0.rank_dynamic(), 0);
ASSERT_EQ(sub0.extent(0), 4);
ASSERT_EQ((__MDSPAN_OP(sub0, 1)), 42);
}
TEST(TestSubmdspanLayoutLeftStaticSizedRankReducing3Dto1D, test_submdspan_layout_left_static_sized_rank_reducing_3d_to_1d) {
std::vector<int> d(2 * 3 * 4, 0);
stdex::mdspan<int, stdex::extents<size_t,2, 3, 4>, stdex::layout_left> m(d.data());
__MDSPAN_OP(m, 1, 1, 1) = 42;
auto sub0 = stdex::submdspan(m, 1, 1, stdex::full_extent);
ASSERT_EQ(sub0.rank(), 1);
ASSERT_EQ(sub0.rank_dynamic(), 0);
ASSERT_EQ(sub0.extent(0), 4);
ASSERT_EQ((__MDSPAN_OP(sub0, 1)), 42);
}
TEST(TestSubmdspanLayoutRightStaticSizedRankReducingNested3Dto0D, test_submdspan_layout_right_static_sized_rank_reducing_nested_3d_to_0d) {
std::vector<int> d(2 * 3 * 4, 0);
stdex::mdspan<int, stdex::extents<size_t,2, 3, 4>> m(d.data());
__MDSPAN_OP(m, 1, 1, 1) = 42;
auto sub0 = stdex::submdspan(m, 1, stdex::full_extent, stdex::full_extent);
ASSERT_EQ(sub0.rank(), 2);
ASSERT_EQ(sub0.rank_dynamic(), 0);
ASSERT_EQ(sub0.extent(0), 3);
ASSERT_EQ(sub0.extent(1), 4);
ASSERT_EQ((__MDSPAN_OP(sub0, 1, 1)), 42);
auto sub1 = stdex::submdspan(sub0, 1, stdex::full_extent);
ASSERT_EQ(sub1.rank(), 1);
ASSERT_EQ(sub1.rank_dynamic(), 0);
ASSERT_EQ(sub1.extent(0), 4);
ASSERT_EQ((__MDSPAN_OP(sub1,1)),42);
auto sub2 = stdex::submdspan(sub1, 1);
ASSERT_EQ(sub2.rank(), 0);
ASSERT_EQ(sub2.rank_dynamic(), 0);
ASSERT_EQ((__MDSPAN_OP0(sub2)), 42);
}
TEST(TestSubmdspanLayoutRightStaticSizedPairs, test_submdspan_layout_right_static_sized_pairs) {
std::vector<int> d(2 * 3 * 4, 0);
stdex::mdspan<int, stdex::extents<size_t,2, 3, 4>> m(d.data());
__MDSPAN_OP(m, 1, 1, 1) = 42;
auto sub0 = stdex::submdspan(m, std::pair<int,int>{1, 2}, std::pair<int,int>{1, 3}, std::pair<int,int>{1, 4});
ASSERT_EQ(sub0.rank(), 3);
ASSERT_EQ(sub0.rank_dynamic(), 3);
ASSERT_EQ(sub0.extent(0), 1);
ASSERT_EQ(sub0.extent(1), 2);
ASSERT_EQ(sub0.extent(2), 3);
ASSERT_EQ((__MDSPAN_OP(sub0, 0, 0, 0)), 42);
}
TEST(TestSubmdspanLayoutRightStaticSizedTuples, test_submdspan_layout_right_static_sized_tuples) {
std::vector<int> d(2 * 3 * 4, 0);
stdex::mdspan<int, stdex::extents<size_t,2, 3, 4>> m(d.data());
__MDSPAN_OP(m, 1, 1, 1) = 42;
auto sub0 = stdex::submdspan(m, std::tuple<int,int>{1, 2}, std::tuple<int,int>{1, 3}, std::tuple<int,int>{1, 4});
ASSERT_EQ(sub0.rank(), 3);
ASSERT_EQ(sub0.rank_dynamic(), 3);
ASSERT_EQ(sub0.extent(0), 1);
ASSERT_EQ(sub0.extent(1), 2);
ASSERT_EQ(sub0.extent(2), 3);
ASSERT_EQ((__MDSPAN_OP(sub0, 0, 0, 0)), 42);
}
//template<class LayoutOrg, class LayoutSub, class ExtentsOrg, class ExtentsSub, class ... SubArgs>
using submdspan_test_types =
::testing::Types<
// LayoutLeft to LayoutLeft
std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,1>,stdex::dextents<size_t,1>, stdex::full_extent_t>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,1>,stdex::dextents<size_t,1>, std::pair<int,int>>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,1>,stdex::dextents<size_t,0>, int>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,2>,stdex::dextents<size_t,2>, stdex::full_extent_t, stdex::full_extent_t>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,2>,stdex::dextents<size_t,2>, stdex::full_extent_t, std::pair<int,int>>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,2>,stdex::dextents<size_t,1>, stdex::full_extent_t, int>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,3>,stdex::dextents<size_t,3>, stdex::full_extent_t, stdex::full_extent_t, std::pair<int,int>>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,3>,stdex::dextents<size_t,2>, stdex::full_extent_t, std::pair<int,int>, int>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,3>,stdex::dextents<size_t,1>, stdex::full_extent_t, int, int>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,3>,stdex::dextents<size_t,1>, std::pair<int,int>, int, int>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,6>,stdex::dextents<size_t,3>, stdex::full_extent_t, stdex::full_extent_t, std::pair<int,int>, int, int, int>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,6>,stdex::dextents<size_t,2>, stdex::full_extent_t, std::pair<int,int>, int, int, int, int>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,6>,stdex::dextents<size_t,1>, stdex::full_extent_t, int, int, int ,int, int>
, std::tuple<stdex::layout_left, stdex::layout_left, stdex::dextents<size_t,6>,stdex::dextents<size_t,1>, std::pair<int,int>, int, int, int, int, int>
// LayoutRight to LayoutRight
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,1>,stdex::dextents<size_t,1>, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,1>,stdex::dextents<size_t,1>, std::pair<int,int>>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,1>,stdex::dextents<size_t,0>, int>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,2>,stdex::dextents<size_t,2>, stdex::full_extent_t, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,2>,stdex::dextents<size_t,2>, std::pair<int,int>, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,2>,stdex::dextents<size_t,1>, int, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,3>,stdex::dextents<size_t,3>, std::pair<int,int>, stdex::full_extent_t, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,3>,stdex::dextents<size_t,2>, int, std::pair<int,int>, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,3>,stdex::dextents<size_t,1>, int, int, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,6>,stdex::dextents<size_t,3>, int, int, int, std::pair<int,int>, stdex::full_extent_t, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,6>,stdex::dextents<size_t,2>, int, int, int, int, std::pair<int,int>, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::dextents<size_t,6>,stdex::dextents<size_t,1>, int, int, int, int, int, stdex::full_extent_t>
// LayoutRight to LayoutRight Check Extents Preservation
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1>,stdex::extents<size_t,1>, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1>,stdex::extents<size_t,dyn>, std::pair<int,int>>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1>,stdex::extents<size_t>, int>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1,2>,stdex::extents<size_t,1,2>, stdex::full_extent_t, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1,2>,stdex::extents<size_t,dyn,2>, std::pair<int,int>, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1,2>,stdex::extents<size_t,2>, int, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1,2,3>,stdex::extents<size_t,dyn,2,3>, std::pair<int,int>, stdex::full_extent_t, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1,2,3>,stdex::extents<size_t,dyn,3>, int, std::pair<int,int>, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1,2,3>,stdex::extents<size_t,3>, int, int, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1,2,3,4,5,6>,stdex::extents<size_t,dyn,5,6>, int, int, int, std::pair<int,int>, stdex::full_extent_t, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1,2,3,4,5,6>,stdex::extents<size_t,dyn,6>, int, int, int, int, std::pair<int,int>, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,1,2,3,4,5,6>,stdex::extents<size_t,6>, int, int, int, int, int, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_stride, stdex::extents<size_t,1,2,3,4,5,6>,stdex::extents<size_t,1,dyn,6>, stdex::full_extent_t, int, std::pair<int,int>, int, int, stdex::full_extent_t>
, std::tuple<stdex::layout_right, stdex::layout_stride, stdex::extents<size_t,1,2,3,4,5,6>,stdex::extents<size_t,2,dyn,5>, int, stdex::full_extent_t, std::pair<int,int>, int, stdex::full_extent_t, int>
>;
template<class T> struct TestSubMDSpan;
template<class LayoutOrg, class LayoutSub, class ExtentsOrg, class ExtentsSub, class ... SubArgs>
struct TestSubMDSpan<
std::tuple<LayoutOrg,
LayoutSub,
ExtentsOrg,
ExtentsSub,
SubArgs...>>
: public ::testing::Test {
using mds_org_t = stdex::mdspan<int, ExtentsOrg, LayoutOrg>;
using mds_sub_t = stdex::mdspan<int, ExtentsSub, LayoutSub>;
using map_t = typename mds_org_t::mapping_type;
using mds_sub_deduced_t = decltype(stdex::submdspan(mds_org_t(nullptr, map_t()), SubArgs()...));
using sub_args_t = std::tuple<SubArgs...>;
};
TYPED_TEST_SUITE(TestSubMDSpan, submdspan_test_types);
TYPED_TEST(TestSubMDSpan, submdspan_return_type) {
static_assert(std::is_same<typename TestFixture::mds_sub_t,
typename TestFixture::mds_sub_deduced_t>::value,
"SubMDSpan: wrong return type");
}
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/test_mdspan_conversion.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 3.0
// Copyright (2020) National Technology & Engineering
// Solutions of Sandia, LLC (NTESS).
//
// Under the terms of Contract DE-NA0003525 with NTESS,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY NTESS "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 NTESS OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <gtest/gtest.h>
namespace stdex = std::experimental;
TEST(TestMdspanConversionConst, test_mdspan_conversion_const) {
std::array<double, 6> a{};
stdex::mdspan<double, stdex::extents<uint32_t, 2, 3>> s(a.data());
ASSERT_EQ(s.data_handle(), a.data());
__MDSPAN_OP(s, 0, 1) = 3.14;
stdex::mdspan<double const, stdex::extents<uint64_t, 2, 3>> c_s(s);
ASSERT_EQ((__MDSPAN_OP(c_s, 0, 1)), 3.14);
}
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/test_element_access.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 3.0
// Copyright (2020) National Technology & Engineering
// Solutions of Sandia, LLC (NTESS).
//
// Under the terms of Contract DE-NA0003525 with NTESS,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY NTESS "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 NTESS OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <gtest/gtest.h>
namespace stdex = std::experimental;
TEST(TestElementAccess, element_access_with_std_array) {
std::array<double, 6> a{};
stdex::mdspan<double, stdex::extents<size_t,2, 3>> s(a.data());
ASSERT_EQ(__MDSPAN_OP(s, (std::array<int, 2>{1, 2})), 0);
__MDSPAN_OP(s, (std::array<int, 2>{0, 1})) = 3.14;
ASSERT_EQ(__MDSPAN_OP(s, (std::array<int, 2>{0, 1})), 3.14);
}
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/test_exhaustive_layouts.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <gtest/gtest.h>
#include <tuple>
#include <utility>
namespace stdex = std::experimental;
_MDSPAN_INLINE_VARIABLE constexpr auto dyn = stdex::dynamic_extent;
template <class Extents>
size_t get_expected_mapping(
typename stdex::layout_left::template mapping<Extents> const& map,
size_t i, size_t j, size_t k
)
{
auto const& extents = map.extents();
return i + j*extents.extent(0) + k*extents.extent(0)*extents.extent(1);
}
template <class Extents>
size_t get_expected_mapping(
typename stdex::layout_right::template mapping<Extents> const& map,
size_t i, size_t j, size_t k
)
{
auto const& extents = map.extents();
return k + j*extents.extent(2) + i*extents.extent(1)*extents.extent(2);
}
template <class> struct TestLayout;
template <class Mapping, size_t... DynamicSizes>
struct TestLayout<std::tuple<
Mapping,
std::integer_sequence<size_t, DynamicSizes...>
>> : public ::testing::Test
{
Mapping map;
void initialize_mapping() {
using extents_type = std::remove_cv_t<std::remove_reference_t<decltype(map.extents())>>;
map = Mapping(extents_type(DynamicSizes...));
}
void SetUp() override {
initialize_mapping();
}
template <class... Index>
size_t expected_mapping(Index... idxs) const {
return get_expected_mapping(map, idxs...);
}
};
template <class Extents, size_t... DynamicSizes>
using test_3d_left_types = std::tuple<
typename stdex::layout_left::template mapping<Extents>,
std::integer_sequence<size_t, DynamicSizes...>
>;
template <class Extents, size_t... DynamicSizes>
using test_3d_right_types = std::tuple<
typename stdex::layout_right::template mapping<Extents>,
std::integer_sequence<size_t, DynamicSizes...>
>;
using layout_test_types_3d =
::testing::Types<
test_3d_left_types<stdex::extents<size_t,3, 4, 5>>,
test_3d_left_types<stdex::extents<size_t,5, 4, 3>>,
test_3d_left_types<stdex::extents<size_t,3, 4, dyn>, 5>,
test_3d_left_types<stdex::extents<size_t,5, 4, dyn>, 3>,
test_3d_left_types<stdex::extents<size_t,3, dyn, 5>, 4>,
test_3d_left_types<stdex::extents<size_t,5, dyn, 3>, 4>,
test_3d_left_types<stdex::extents<size_t,dyn, 4, 5>, 3>,
test_3d_left_types<stdex::extents<size_t,dyn, 4, 3>, 5>,
test_3d_left_types<stdex::extents<size_t,dyn, dyn, 5>, 3, 4>,
test_3d_left_types<stdex::extents<size_t,dyn, dyn, 3>, 5, 4>,
test_3d_left_types<stdex::extents<size_t,dyn, 4, dyn>, 3, 5>,
test_3d_left_types<stdex::extents<size_t,dyn, 4, dyn>, 5, 3>,
test_3d_left_types<stdex::extents<size_t,3, dyn, dyn>, 4, 5>,
test_3d_left_types<stdex::extents<size_t,5, dyn, dyn>, 4, 3>,
test_3d_left_types<stdex::extents<size_t,dyn, dyn, dyn>, 3, 4, 5>,
test_3d_left_types<stdex::extents<size_t,dyn, dyn, dyn>, 5, 4, 3>,
test_3d_right_types<stdex::extents<size_t,3, 4, 5>>,
test_3d_right_types<stdex::extents<size_t,5, 4, 3>>,
test_3d_right_types<stdex::extents<size_t,3, 4, dyn>, 5>,
test_3d_right_types<stdex::extents<size_t,5, 4, dyn>, 3>,
test_3d_right_types<stdex::extents<size_t,3, dyn, 5>, 4>,
test_3d_right_types<stdex::extents<size_t,5, dyn, 3>, 4>,
test_3d_right_types<stdex::extents<size_t,dyn, 4, 5>, 3>,
test_3d_right_types<stdex::extents<size_t,dyn, 4, 3>, 5>,
test_3d_right_types<stdex::extents<size_t,dyn, dyn, 5>, 3, 4>,
test_3d_right_types<stdex::extents<size_t,dyn, dyn, 3>, 5, 4>,
test_3d_right_types<stdex::extents<size_t,dyn, 4, dyn>, 3, 5>,
test_3d_right_types<stdex::extents<size_t,dyn, 4, dyn>, 5, 3>,
test_3d_right_types<stdex::extents<size_t,3, dyn, dyn>, 4, 5>,
test_3d_right_types<stdex::extents<size_t,5, dyn, dyn>, 4, 3>,
test_3d_right_types<stdex::extents<size_t,dyn, dyn, dyn>, 3, 4, 5>,
test_3d_right_types<stdex::extents<size_t,dyn, dyn, dyn>, 5, 4, 3>
>;
template <class T> struct TestLayout3D : TestLayout<T> { };
TYPED_TEST_SUITE(TestLayout3D, layout_test_types_3d);
TYPED_TEST(TestLayout3D, mapping_works) {
for(size_t i = 0; i < this->map.extents().extent(0); ++i) {
for(size_t j = 0; j < this->map.extents().extent(1); ++j) {
for(size_t k = 0; k < this->map.extents().extent(2); ++k) {
EXPECT_EQ(this->map(i, j, k), this->expected_mapping(i, j, k))
<< "Incorrect mapping for index " << i << ", " << j << ", " << k
<< " with extents "
<< this->map.extents().extent(0) << ", "
<< this->map.extents().extent(1) << ", "
<< this->map.extents().extent(2) << ".";
}
}
}
}
TYPED_TEST(TestLayout3D, required_span_size_works) {
ASSERT_EQ(this->map.required_span_size(), 3*4*5);
}
template<class Layout1, class Layout2, class Extents1, class Extents2, bool Implicit, size_t ... AllSizes>
using test_layout_conversion =
std::tuple<Layout1, Layout2, Extents1, Extents2,
std::integer_sequence<size_t, AllSizes...>,
std::integral_constant<bool, Implicit>>;
// We separate layout_conversion_test_types into multiple type lists
// in order to avoid an nvc++ compiler error (recursion too deep).
// Left <=> Left conversion
using layout_conversion_test_types_left_to_left =
::testing::Types<
test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,dyn>, stdex::extents<size_t,5>, true, 5>
,test_layout_conversion<stdex::layout_left, stdex::layout_left , stdex::extents<size_t>, stdex::extents<size_t>, true>
,test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,5>, stdex::extents<size_t,dyn>, false, 5>
,test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,dyn>, true, 5,0> // intentional 0 here to test degenerated
,test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,dyn,10>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,dyn>, true, 5,10>
,test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,dyn,10,15,dyn,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,dyn,dyn,dyn,dyn,dyn>, stdex::extents<size_t,5,10,dyn,20,dyn>, true, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_left , stdex::layout_left , stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,15,20,25>, true, 5, 10, 15, 20, 25>
>;
// Right <=> Right conversion
using layout_conversion_test_types_right_to_right =
::testing::Types<
test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,dyn>, stdex::extents<size_t,5>, true, 5>
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t>, stdex::extents<size_t>, true>
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,5>, stdex::extents<size_t,dyn>, false, 5>
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,dyn>, true, 5,0> //intentional 0 to test degenerate
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,dyn,10>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,dyn>, true, 5,10>
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,dyn,10,15,dyn,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,dyn,dyn,dyn,dyn,dyn>, stdex::extents<size_t,5,10,dyn,20,dyn>, true, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_right, stdex::layout_right, stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,15,20,25>, true, 5, 10, 15, 20, 25>
>;
// Stride <=> Stride conversion
using layout_conversion_test_types_stride_to_stride =
::testing::Types<
test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,dyn>, stdex::extents<size_t,5>, true, 5>
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t>, stdex::extents<size_t>, true>
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,5>, stdex::extents<size_t,dyn>, false, 5>
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,dyn>, true, 5,0> //intentional 0 to test degenerate
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,dyn,10>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,dyn>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,dyn,10,15,dyn,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,dyn,dyn,dyn,dyn,dyn>, stdex::extents<size_t,5,10,dyn,20,dyn>, true, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_stride, stdex::layout_stride, stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,15,20,25>, true, 5, 10, 15, 20, 25>
>;
// Right => Stride conversion
using layout_conversion_test_types_right_to_stride =
::testing::Types<
test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,dyn>, stdex::extents<size_t,5>, true, 5>
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t>, stdex::extents<size_t>, true>
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,5>, stdex::extents<size_t,dyn>, false, 5>
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,dyn>, true, 5,0> //intentional 0 to test degenerate
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,dyn,10>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,dyn>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,dyn,10,15,dyn,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,dyn,dyn,dyn,dyn,dyn>, stdex::extents<size_t,5,10,dyn,20,dyn>, true, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_stride, stdex::layout_right, stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,15,20,25>, true, 5, 10, 15, 20, 25>
>;
// Left => Stride conversion
using layout_conversion_test_types_left_to_stride =
::testing::Types<
test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,dyn>, stdex::extents<size_t,5>, true, 5>
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t>, stdex::extents<size_t>, true>
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,5>, stdex::extents<size_t,dyn>, false, 5>
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,dyn>, true, 5,0> //intentional 0 to test degenerate
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,dyn,10>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,10>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,dyn>, true, 5,10>
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,dyn,10,15,dyn,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,dyn,dyn,dyn,dyn,dyn>, stdex::extents<size_t,5,10,dyn,20,dyn>, true, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_stride, stdex::layout_left , stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,15,20,25>, true, 5, 10, 15, 20, 25>
>;
// Stride => Left conversion
using layout_conversion_test_types_stride_to_left =
::testing::Types<
test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,dyn>, stdex::extents<size_t,5>, false, 5>
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t>, stdex::extents<size_t>, true>
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,5>, stdex::extents<size_t,dyn>, false, 5>
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,10>, false, 5,10>
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,dyn>, false, 5,0> //intentional 0 to test degenerate
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,dyn,10>, stdex::extents<size_t,5,10>, false, 5,10>
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,10>, false, 5,10>
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,dyn>, false, 5,10>
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,dyn,10,15,dyn,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,dyn,dyn,dyn,dyn,dyn>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_left , stdex::layout_stride, stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,15,20,25>, false, 5, 10, 15, 20, 25>
>;
// Stride => Right conversion
using layout_conversion_test_types_stride_to_right =
::testing::Types<
test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,dyn>, stdex::extents<size_t,5>, false, 5>
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t>, stdex::extents<size_t>, true>
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,5>, stdex::extents<size_t,dyn>, false, 5>
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,10>, false, 5,10>
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,dyn,dyn>, stdex::extents<size_t,5,dyn>, false, 5,0> //intentional 0 to test degenerate
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,dyn,10>, stdex::extents<size_t,5,10>, false, 5,10>
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,10>, false, 5,10>
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,5,dyn>, stdex::extents<size_t,5,dyn>, false, 5,10>
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,dyn,10,15,dyn,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,dyn,dyn,dyn,dyn,dyn>, stdex::extents<size_t,5,10,dyn,20,dyn>, false, 5, 10, 15, 20, 25>
,test_layout_conversion<stdex::layout_right , stdex::layout_stride, stdex::extents<size_t,5,10,15,20,25>, stdex::extents<size_t,5,10,15,20,25>, false, 5, 10, 15, 20, 25>
>;
// Left <=> Right conversion
using layout_conversion_test_types_left_to_right =
::testing::Types<
test_layout_conversion<stdex::layout_right, stdex::layout_left , stdex::extents<size_t,dyn>, stdex::extents<size_t,5>, true, 5>
,test_layout_conversion<stdex::layout_right, stdex::layout_left , stdex::extents<size_t,5>, stdex::extents<size_t,dyn>, false, 5>
,test_layout_conversion<stdex::layout_left, stdex::layout_right, stdex::extents<size_t,dyn>, stdex::extents<size_t,5>, true, 5>
,test_layout_conversion<stdex::layout_left, stdex::layout_right, stdex::extents<size_t,5>, stdex::extents<size_t,dyn>, false, 5>
,test_layout_conversion<stdex::layout_right, stdex::layout_left , stdex::extents<size_t>, stdex::extents<size_t>, true>
,test_layout_conversion<stdex::layout_left, stdex::layout_right, stdex::extents<size_t>, stdex::extents<size_t>, true>
>;
template<class T> struct TestLayoutConversion;
template<class Layout1, class Layout2, class Extents1, class Extents2, bool Implicit, size_t ... AllSizes>
struct TestLayoutConversion<
std::tuple<Layout1,
Layout2,
Extents1,
Extents2,
std::integer_sequence<size_t, AllSizes...>,
std::integral_constant<bool, Implicit>>> : public ::testing::Test {
static constexpr bool implicit = Implicit;
using layout_1_t = Layout1;
using exts_1_t = Extents1;
using map_1_t = typename Layout1::template mapping<exts_1_t>;
using layout_2_t = Layout2;
using exts_2_t = Extents2;
using map_2_t = typename Layout2::template mapping<exts_2_t>;
exts_1_t exts1 { AllSizes... };
exts_2_t exts2 { AllSizes... };
map_1_t implicit_conv(map_1_t map) const {
return map;
}
template<class Extents>
static constexpr std::enable_if_t<
std::is_same<Extents, Extents2>::value &&
!std::is_same<Layout1, stdex::layout_stride>::value &&
std::is_same<Layout2, stdex::layout_stride>::value,
map_2_t> create_map2(Extents exts) {
return map_2_t(map_1_t(Extents1(exts)));
}
template<class Extents>
static constexpr std::enable_if_t<
std::is_same<Extents, Extents2>::value &&
std::is_same<Layout1, stdex::layout_stride>::value &&
std::is_same<Layout2, stdex::layout_stride>::value,
map_2_t> create_map2(Extents exts) {
return map_2_t(typename stdex::layout_left::template mapping<Extents>(exts));
}
template<class Extents>
static constexpr std::enable_if_t<
std::is_same<Extents,Extents2>::value &&
!std::is_same<Layout2,stdex::layout_stride>::value,
map_2_t> create_map2(Extents exts) {
return map_2_t(exts);
}
};
// We can't reuse TestLayoutConversion directly for multiple suites,
// because this results in duplicate test names.
// However, creating an alias for each suite works around this.
TYPED_TEST_SUITE(TestLayoutConversion, layout_conversion_test_types_left_to_left);
template<class T>
using TestLayoutConversion_R2R = TestLayoutConversion<T>;
TYPED_TEST_SUITE(TestLayoutConversion_R2R, layout_conversion_test_types_right_to_right);
template<class T>
using TestLayoutConversion_S2S = TestLayoutConversion<T>;
TYPED_TEST_SUITE(TestLayoutConversion_S2S, layout_conversion_test_types_stride_to_stride);
template<class T>
using TestLayoutConversion_R2S = TestLayoutConversion<T>;
TYPED_TEST_SUITE(TestLayoutConversion_R2S, layout_conversion_test_types_right_to_stride);
template<class T>
using TestLayoutConversion_L2S = TestLayoutConversion<T>;
TYPED_TEST_SUITE(TestLayoutConversion_L2S, layout_conversion_test_types_left_to_stride);
template<class T>
using TestLayoutConversion_S2L = TestLayoutConversion<T>;
TYPED_TEST_SUITE(TestLayoutConversion_S2L, layout_conversion_test_types_stride_to_left);
template<class T>
using TestLayoutConversion_S2R = TestLayoutConversion<T>;
TYPED_TEST_SUITE(TestLayoutConversion_S2R, layout_conversion_test_types_stride_to_right);
template<class T>
using TestLayoutConversion_L2R = TestLayoutConversion<T>;
TYPED_TEST_SUITE(TestLayoutConversion_L2R, layout_conversion_test_types_left_to_right);
TYPED_TEST(TestLayoutConversion, implicit_conversion) {
typename TestFixture::map_2_t map2 = this->create_map2(this->exts2);
typename TestFixture::map_1_t map1;
#if MDSPAN_HAS_CXX_20 && !defined(_MDSPAN_COMPILER_MSVC)
static_assert(TestFixture::implicit ==
(
(
!std::is_same<typename TestFixture::layout_2_t, stdex::layout_stride>::value &&
std::is_convertible<typename TestFixture::exts_2_t, typename TestFixture::exts_1_t>::value
) || (
std::is_same<typename TestFixture::layout_2_t, stdex::layout_stride>::value &&
std::is_same<typename TestFixture::layout_1_t, stdex::layout_stride>::value &&
std::is_convertible<typename TestFixture::exts_2_t, typename TestFixture::exts_1_t>::value
)|| (
std::is_same<typename TestFixture::layout_2_t, stdex::layout_stride>::value &&
!std::is_same<typename TestFixture::layout_1_t, stdex::layout_stride>::value &&
TestFixture::exts_2_t::rank()==0
)
)
);
static_assert(std::is_convertible<typename TestFixture::map_2_t, typename TestFixture::map_1_t>::value ==
TestFixture::implicit);
if constexpr(TestFixture::implicit)
map1 = this->implicit_conv(map2);
else
#endif
map1 = typename TestFixture::map_1_t(map2);
for(size_t r=0; r != this->exts1.rank(); ++r) {
ASSERT_EQ(map1.extents().extent(r), map2.extents().extent(r));
ASSERT_EQ(map1.stride(r), map2.stride(r));
}
}
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/tests/test_layout_ctors.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <gtest/gtest.h>
namespace stdex = std::experimental;
_MDSPAN_INLINE_VARIABLE constexpr auto dyn = stdex::dynamic_extent;
template <class> struct TestLayoutCtors;
template <class Mapping, size_t... DynamicSizes>
struct TestLayoutCtors<std::tuple<
Mapping,
std::integer_sequence<size_t, DynamicSizes...>
>> : public ::testing::Test {
using mapping_type = Mapping;
using extents_type = typename mapping_type::extents_type;
Mapping map = { extents_type{ DynamicSizes... } };
};
template <class Extents, size_t... DynamicSizes>
using test_left_type = std::tuple<
typename stdex::layout_left::template mapping<Extents>,
std::integer_sequence<size_t, DynamicSizes...>
>;
template <class Extents, size_t... DynamicSizes>
using test_right_type = std::tuple<
typename stdex::layout_right::template mapping<Extents>,
std::integer_sequence<size_t, DynamicSizes...>
>;
using layout_test_types =
::testing::Types<
test_left_type<stdex::extents<size_t,10>>,
test_right_type<stdex::extents<size_t,10>>,
//----------
test_left_type<stdex::extents<size_t,dyn>, 10>,
test_right_type<stdex::extents<size_t,dyn>, 10>,
//----------
test_left_type<stdex::extents<size_t,dyn, 10>, 5>,
test_left_type<stdex::extents<size_t,5, dyn>, 10>,
test_left_type<stdex::extents<size_t,5, 10>>,
test_right_type<stdex::extents<size_t,dyn, 10>, 5>,
test_right_type<stdex::extents<size_t,5, dyn>, 10>,
test_right_type<stdex::extents<size_t,5, 10>>
>;
TYPED_TEST_SUITE(TestLayoutCtors, layout_test_types);
TYPED_TEST(TestLayoutCtors, default_ctor) {
// Default constructor ensures extents() == Extents() is true.
auto m = typename TestFixture::mapping_type();
ASSERT_EQ(m.extents(), typename TestFixture::extents_type());
auto m2 = typename TestFixture::mapping_type{};
ASSERT_EQ(m2.extents(), typename TestFixture::extents_type{});
ASSERT_EQ(m, m2);
}
template <class> struct TestLayoutCompatCtors;
template <class Mapping, size_t... DynamicSizes, class Mapping2, size_t... DynamicSizes2>
struct TestLayoutCompatCtors<std::tuple<
Mapping,
std::integer_sequence<size_t, DynamicSizes...>,
Mapping2,
std::integer_sequence<size_t, DynamicSizes2...>
>> : public ::testing::Test {
using mapping_type1 = Mapping;
using mapping_type2 = Mapping2;
using extents_type1 = std::remove_reference_t<decltype(std::declval<mapping_type1>().extents())>;
using extents_type2 = std::remove_reference_t<decltype(std::declval<mapping_type2>().extents())>;
Mapping map1 = { extents_type1{ DynamicSizes... } };
Mapping2 map2 = { extents_type2{ DynamicSizes2... } };
};
template <class E1, class S1, class E2, class S2>
using test_left_type_compatible = std::tuple<
typename stdex::layout_left::template mapping<E1>, S1,
typename stdex::layout_left::template mapping<E2>, S2
>;
template <class E1, class S1, class E2, class S2>
using test_right_type_compatible = std::tuple<
typename stdex::layout_right::template mapping<E1>, S1,
typename stdex::layout_right::template mapping<E2>, S2
>;
template <size_t... Ds>
using _sizes = std::integer_sequence<size_t, Ds...>;
template <size_t... Ds>
using _exts = stdex::extents<size_t,Ds...>;
template <template <class, class, class, class> class _test_case_type>
using compatible_layout_test_types =
::testing::Types<
_test_case_type<_exts<dyn>, _sizes<10>, _exts<10>, _sizes<>>,
//--------------------
_test_case_type<_exts<dyn, 10>, _sizes<5>, _exts<5, dyn>, _sizes<10>>,
_test_case_type<_exts<dyn, dyn>, _sizes<5, 10>, _exts<5, dyn>, _sizes<10>>,
_test_case_type<_exts<dyn, dyn>, _sizes<5, 10>, _exts<dyn, 10>, _sizes<5>>,
_test_case_type<_exts<dyn, dyn>, _sizes<5, 10>, _exts<5, 10>, _sizes<>>,
_test_case_type<_exts<5, 10>, _sizes<>, _exts<5, dyn>, _sizes<10>>,
_test_case_type<_exts<5, 10>, _sizes<>, _exts<dyn, 10>, _sizes<5>>,
//--------------------
_test_case_type<_exts<dyn, dyn, 15>, _sizes<5, 10>, _exts<5, dyn, 15>, _sizes<10>>,
_test_case_type<_exts<5, 10, 15>, _sizes<>, _exts<5, dyn, 15>, _sizes<10>>,
_test_case_type<_exts<5, 10, 15>, _sizes<>, _exts<dyn, dyn, dyn>, _sizes<5, 10, 15>>
>;
using left_compatible_test_types = compatible_layout_test_types<test_left_type_compatible>;
using right_compatible_test_types = compatible_layout_test_types<test_right_type_compatible>;
template <class T> struct TestLayoutLeftCompatCtors : TestLayoutCompatCtors<T> { };
template <class T> struct TestLayoutRightCompatCtors : TestLayoutCompatCtors<T> { };
TYPED_TEST_SUITE(TestLayoutLeftCompatCtors, left_compatible_test_types);
TYPED_TEST_SUITE(TestLayoutRightCompatCtors, right_compatible_test_types);
TYPED_TEST(TestLayoutLeftCompatCtors, compatible_construct_1) {
// The compatible mapping constructor ensures extents() == other.extents() is true.
auto m1 = typename TestFixture::mapping_type1(this->map2);
ASSERT_EQ(m1.extents(), this->map2.extents());
}
TYPED_TEST(TestLayoutRightCompatCtors, compatible_construct_1) {
// The compatible mapping constructor ensures extents() == other.extents() is true.
auto m1 = typename TestFixture::mapping_type1(this->map2);
ASSERT_EQ(m1.extents(), this->map2.extents());
}
TYPED_TEST(TestLayoutLeftCompatCtors, compatible_construct_2) {
// The compatible mapping constructor ensures extents() == other.extents() is true.
auto m2 = typename TestFixture::mapping_type2(this->map1);
ASSERT_EQ(m2.extents(), this->map1.extents());
}
TYPED_TEST(TestLayoutRightCompatCtors, compatible_construct_2) {
// The compatible mapping constructor ensures extents() == other.extents() is true.
auto m2 = typename TestFixture::mapping_type2(this->map1);
ASSERT_EQ(m2.extents(), this->map1.extents());
}
TYPED_TEST(TestLayoutLeftCompatCtors, compatible_assign_1) {
#if MDSPAN_HAS_CXX_17
if constexpr (std::is_convertible_v<typename TestFixture::mapping_type2, typename TestFixture::mapping_type1>)
this->map1 = this->map2;
else
#endif
this->map1 = typename TestFixture::mapping_type1(this->map2);
ASSERT_EQ(this->map1.extents(), this->map2.extents());
}
TYPED_TEST(TestLayoutRightCompatCtors, compatible_assign_1) {
#if MDSPAN_HAS_CXX_17
if constexpr (std::is_convertible_v<typename TestFixture::mapping_type2, typename TestFixture::mapping_type1>)
this->map1 = this->map2;
else
#endif
this->map1 = typename TestFixture::mapping_type1(this->map2);
ASSERT_EQ(this->map1.extents(), this->map2.extents());
}
TYPED_TEST(TestLayoutLeftCompatCtors, compatible_assign_2) {
#if MDSPAN_HAS_CXX_17
if constexpr (std::is_convertible_v<typename TestFixture::mapping_type1, typename TestFixture::mapping_type2>)
this->map2 = this->map1;
else
#endif
this->map2 = typename TestFixture::mapping_type2(this->map1);
ASSERT_EQ(this->map1.extents(), this->map2.extents());
}
TYPED_TEST(TestLayoutRightCompatCtors, compatible_assign_2) {
#if MDSPAN_HAS_CXX_17
if constexpr (std::is_convertible_v<typename TestFixture::mapping_type1, typename TestFixture::mapping_type2>)
this->map2 = this->map1;
else
#endif
this->map2 = typename TestFixture::mapping_type2(this->map1);
ASSERT_EQ(this->map1.extents(), this->map2.extents());
}
TEST(TestLayoutLeftListInitialization, test_layout_left_extent_initialization) {
stdex::layout_left::mapping<stdex::extents<size_t,dyn, dyn>> m{stdex::dextents<size_t,2>{16, 32}};
ASSERT_EQ(m.extents().rank(), 2);
ASSERT_EQ(m.extents().rank_dynamic(), 2);
ASSERT_EQ(m.extents().extent(0), 16);
ASSERT_EQ(m.extents().extent(1), 32);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(m.stride(1), 16);
ASSERT_TRUE(m.is_exhaustive());
}
#if defined(_MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION)
TEST(TestLayoutLeftCTAD, test_layout_left_ctad) {
stdex::layout_left::mapping m{stdex::extents{16, 32}};
ASSERT_EQ(m.extents().rank(), 2);
ASSERT_EQ(m.extents().rank_dynamic(), 2);
ASSERT_EQ(m.extents().extent(0), 16);
ASSERT_EQ(m.extents().extent(1), 32);
ASSERT_EQ(m.stride(0), 1);
ASSERT_EQ(m.stride(1), 16);
ASSERT_TRUE(m.is_exhaustive());
}
#endif
TEST(TestLayoutRightListInitialization, test_layout_right_extent_initialization) {
stdex::layout_right::mapping<stdex::extents<size_t,dyn, dyn>> m{stdex::dextents<size_t,2>{16, 32}};
ASSERT_EQ(m.extents().rank(), 2);
ASSERT_EQ(m.extents().rank_dynamic(), 2);
ASSERT_EQ(m.extents().extent(0), 16);
ASSERT_EQ(m.extents().extent(1), 32);
ASSERT_EQ(m.stride(0), 32);
ASSERT_EQ(m.stride(1), 1);
ASSERT_TRUE(m.is_exhaustive());
}
#if defined(_MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION)
TEST(TestLayoutRightCTAD, test_layout_right_ctad) {
stdex::layout_right::mapping m{stdex::extents{16, 32}};
ASSERT_EQ(m.extents().rank(), 2);
ASSERT_EQ(m.extents().rank_dynamic(), 2);
ASSERT_EQ(m.extents().extent(0), 16);
ASSERT_EQ(m.extents().extent(1), 32);
ASSERT_EQ(m.stride(0), 32);
ASSERT_EQ(m.stride(1), 1);
ASSERT_TRUE(m.is_exhaustive());
}
#endif
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/fill.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#ifndef MDSPAN_BENCHMARKS_FILL_HPP
#define MDSPAN_BENCHMARKS_FILL_HPP
#include <experimental/mdspan>
#include <benchmark/benchmark.h>
#include <memory>
#include <random>
namespace stdex = std::experimental;
#if !(defined(__cpp_lib_make_unique) && __cpp_lib_make_unique >= 201304) && !MDSPAN_HAS_CXX_14
// Not actually conforming, but it works for the purposes of this file
namespace std {
template <class T>
struct __unique_ptr_new_impl {
template <class... Args>
static T* __impl(Args&&... args) {
return new T((Args&&)args...);
}
};
template <class T>
struct __unique_ptr_new_impl<T[]> {
static T* __impl(size_t size) {
return new T[size];
}
};
template <class T, class... Args>
std::unique_ptr<T> make_unique(Args&&... args) {
return std::unique_ptr<T>(__unique_ptr_new_impl<T>::__impl((Args&&)args...));
}
} // end namespace std
#endif
namespace mdspan_benchmark {
namespace _impl {
template <class, class T>
T&& _repeated_with(T&& v) noexcept { return std::forward<T>(v); }
template <class T, class SizeT, class... Rest, class RNG, class Dist>
void _do_fill_random(
std::experimental::mdspan<T, std::experimental::extents<SizeT>, Rest...> s,
RNG& gen,
Dist& dist
)
{
s() = dist(gen);
}
template <class T, class SizeT, size_t E, size_t... Es, class... Rest, class RNG, class Dist>
void _do_fill_random(
std::experimental::mdspan<T, std::experimental::extents<SizeT, E, Es...>, Rest...> s,
RNG& gen,
Dist& dist
)
{
for(SizeT i = 0; i < s.extent(0); ++i) {
_do_fill_random(std::experimental::submdspan(s, i, _repeated_with<decltype(Es)>(std::experimental::full_extent)...), gen, dist);
}
}
} // end namespace _impl
template <class T, class E, class... Rest>
void fill_random(std::experimental::mdspan<T, E, Rest...> s, long long seed = 1234) {
std::mt19937 gen(seed);
auto val_dist = std::uniform_int_distribution<>(0, 127);
_impl::_do_fill_random(s, gen, val_dist);
}
} // namespace mdspan_benchmark
//==============================================================================
// <editor-fold desc="A helpful template for instantiating all 3D combinations"> {{{1
#define MDSPAN_BENCHMARK_ALL_3D(bench_template, prefix, md_template, X, Y, Z) \
BENCHMARK_CAPTURE( \
bench_template, prefix##fixed_##X##_##Y##_##Z, md_template<int, X, Y, Z>{nullptr} \
); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_##X##_##Y##_d##Z, md_template<int, X, Y, stdex::dynamic_extent>{}, Z \
); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_##X##_d##Y##_##Z, md_template<int, X, stdex::dynamic_extent, Z>{}, Y \
); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_##Y##_##Z, md_template<int, stdex::dynamic_extent, Y, Z>{}, X \
); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_##X##_d##Y##_d##Z, md_template<int, X, stdex::dynamic_extent, stdex::dynamic_extent>{}, Y, Z \
); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_##Y##_d##Z, md_template<int, stdex::dynamic_extent, Y, stdex::dynamic_extent>{}, X, Z \
); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_d##Y##_##Z, md_template<int, stdex::dynamic_extent, stdex::dynamic_extent, Z>{}, X, Y \
); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_d##Y##_d##Z, md_template<int, stdex::dynamic_extent, stdex::dynamic_extent, stdex::dynamic_extent>{}, X, Y, Z \
)
#define MDSPAN_BENCHMARK_ALL_3D_MANUAL(bench_template, prefix, md_template, X, Y, Z) \
BENCHMARK_CAPTURE( \
bench_template, prefix##fixed_##X##_##Y##_##Z, md_template<int, X, Y, Z>{nullptr} \
)->UseManualTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_##X##_##Y##_d##Z, md_template<int, X, Y, stdex::dynamic_extent>{}, Z \
)->UseManualTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_##X##_d##Y##_##Z, md_template<int, X, stdex::dynamic_extent, Z>{}, Y \
)->UseManualTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_##Y##_##Z, md_template<int, stdex::dynamic_extent, Y, Z>{}, X \
)->UseManualTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_##X##_d##Y##_d##Z, md_template<int, X, stdex::dynamic_extent, stdex::dynamic_extent>{}, Y, Z \
)->UseManualTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_##Y##_d##Z, md_template<int, stdex::dynamic_extent, Y, stdex::dynamic_extent>{}, X, Z \
)->UseManualTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_d##Y##_##Z, md_template<int, stdex::dynamic_extent, stdex::dynamic_extent, Z>{}, X, Y \
)->UseManualTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_d##Y##_d##Z, md_template<int, stdex::dynamic_extent, stdex::dynamic_extent, stdex::dynamic_extent>{}, X, Y, Z \
)->UseManualTime()
#define MDSPAN_BENCHMARK_ALL_3D_REAL_TIME(bench_template, prefix, md_template, X, Y, Z) \
BENCHMARK_CAPTURE( \
bench_template, prefix##fixed_##X##_##Y##_##Z, md_template<int, X, Y, Z>{nullptr} \
)->UseRealTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_##X##_##Y##_d##Z, md_template<int, X, Y, stdex::dynamic_extent>{}, Z \
)->UseRealTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_##X##_d##Y##_##Z, md_template<int, X, stdex::dynamic_extent, Z>{}, Y \
)->UseRealTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_##Y##_##Z, md_template<int, stdex::dynamic_extent, Y, Z>{}, X \
)->UseRealTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_##X##_d##Y##_d##Z, md_template<int, X, stdex::dynamic_extent, stdex::dynamic_extent>{}, Y, Z \
)->UseRealTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_##Y##_d##Z, md_template<int, stdex::dynamic_extent, Y, stdex::dynamic_extent>{}, X, Z \
)->UseRealTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_d##Y##_##Z, md_template<int, stdex::dynamic_extent, stdex::dynamic_extent, Z>{}, X, Y \
)->UseRealTime(); \
BENCHMARK_CAPTURE( \
bench_template, prefix##dyn_d##X##_d##Y##_d##Z, md_template<int, stdex::dynamic_extent, stdex::dynamic_extent, stdex::dynamic_extent>{}, X, Y, Z \
)->UseRealTime()
// </editor-fold> end A helpful template for instantiating all 3D combinations }}}1
//==============================================================================
#endif // MDSPAN_BENCHMARKS_FILL_HPP
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/CMakeLists.txt |
function(mdspan_add_benchmark EXENAME)
add_executable(${EXENAME} ${EXENAME}.cpp)
target_link_libraries(${EXENAME} mdspan benchmark::benchmark)
target_include_directories(${EXENAME} PUBLIC
$<BUILD_INTERFACE:${CMAKE_SOURCE_DIR}/benchmarks>
)
endfunction()
find_package(benchmark REQUIRED)
function(mdspan_add_cuda_benchmark EXENAME)
add_executable(${EXENAME} ${EXENAME}.cu)
target_link_libraries(${EXENAME} PUBLIC mdspan)
target_include_directories(${EXENAME} PUBLIC
$<BUILD_INTERFACE:${CMAKE_SOURCE_DIR}/benchmarks>
)
# This is gross, but it's the best I can do in this version of CMake
get_target_property(_benchmark_include benchmark::benchmark INTERFACE_INCLUDE_DIRECTORIES)
get_target_property(_benchmark_libs_old benchmark::benchmark INTERFACE_LINK_LIBRARIES)
get_target_property(_benchmark_libs_imported benchmark::benchmark IMPORTED_LOCATION_RELEASE)
if(NOT _benchmark_libs_imported)
get_target_property(_benchmark_libs_imported benchmark::benchmark IMPORTED_LOCATION_DEBUG)
if(NOT _benchmark_libs_imported)
get_target_property(_benchmark_libs_imported benchmark::benchmark IMPORTED_LOCATION_RELWITHDEBINFO)
if(NOT _benchmark_libs_imported)
get_target_property(_benchmark_libs_imported benchmark::benchmark IMPORTED_LOCATION_MINSIZEREL)
if(NOT _benchmark_libs_imported)
message(FATAL_ERROR
"Could not figure out how to import google benchmark to hack around a cmake Cuda compatibility issue. Later versions of CMake will make this unnecessary"
)
else()
message(WARNING "Importing a Google Benchmark installation that was compiled in MinSizeRel mode. Times might not be reliable")
endif()
else()
message(WARNING "Importing a Google Benchmark installation that was compiled in RelWithDebInfo mode. Times might not be reliable")
endif()
else()
message(WARNING "Importing a Google Benchmark installation that was compiled in Debug mode. Times might not be reliable")
endif()
endif()
string(REPLACE "-pthread" "" _benchmark_libs "${_benchmark_libs_old}")
target_include_directories(${EXENAME} PUBLIC "${_benchmark_include}")
target_link_libraries(${EXENAME} PUBLIC "${_benchmark_libs};${_benchmark_libs_imported}")
if(_benchmark_libs_old MATCHES "-pthread")
target_compile_options(${EXENAME} PUBLIC "-Xcompiler=-pthread")
endif()
endfunction()
if(MDSPAN_ENABLE_OPENMP)
find_package(OpenMP)
endif()
function(mdspan_add_openmp_benchmark EXENAME)
if(MDSPAN_ENABLE_OPENMP)
if(OpenMP_CXX_FOUND)
add_executable(${EXENAME} ${EXENAME}.cpp)
target_link_libraries(${EXENAME} mdspan benchmark::benchmark OpenMP::OpenMP_CXX)
target_include_directories(${EXENAME} PUBLIC
$<BUILD_INTERFACE:${CMAKE_SOURCE_DIR}/benchmarks>
)
else()
message(WARNING "Not adding target ${EXENAME} because OpenMP was not found")
endif()
endif()
endfunction()
add_subdirectory(sum)
add_subdirectory(matvec)
add_subdirectory(copy)
add_subdirectory(stencil)
add_subdirectory(tiny_matrix_add)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/stencil/stencil_3d.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "fill.hpp"
#include <experimental/mdspan>
#include <benchmark/benchmark.h>
#include <memory>
#include <random>
#include <sstream>
#include <stdexcept>
#include <iostream>
#include <chrono>
//================================================================================
static constexpr int global_delta = 1;
using index_type = int;
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_right>;
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_Stencil_3D(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, dyn...}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), dyn...};
mdspan_benchmark::fill_random(s);
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), dyn...};
mdspan_benchmark::fill_random(o);
int d = global_delta;
using index_type = typename MDSpan::index_type;
for (auto _ : state) {
benchmark::DoNotOptimize(o);
for(index_type i = d; i < s.extent(0)-d; i ++) {
for(index_type j = d; j < s.extent(1)-d; j ++) {
for(index_type k = d; k < s.extent(2)-d; k ++) {
value_type sum_local = 0;
for(index_type di = i-d; di < i+d+1; di++) {
for(index_type dj = j-d; dj < j+d+1; dj++) {
for(index_type dk = k-d; dk < k+d+1; dk++) {
sum_local += s(di, dj, dk);
}}}
o(i,j,k) = sum_local;
}
}
}
benchmark::ClobberMemory();
}
size_t num_inner_elements = (s.extent(0)-d) * (s.extent(1)-d) * (s.extent(2)-d);
size_t stencil_num = (2*d+1) * (2*d+1) * (2*d+1);
state.SetBytesProcessed( num_inner_elements * stencil_num * sizeof(value_type) * state.iterations());
}
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Stencil_3D, right_, rmdspan, 80, 80, 80);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Stencil_3D, left_, lmdspan, 80, 80, 80);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Stencil_3D, right_, rmdspan, 400, 400, 400);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Stencil_3D, left_, lmdspan, 400, 400, 400);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Stencil_3D_right(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using MDSpan = stdex::mdspan<T, stdex::dextents<index_type, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, x,y,z}.mapping().required_span_size();
T* s_ptr = nullptr;
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
{
auto s = MDSpan{buffer_s.get(), x, y, z};
mdspan_benchmark::fill_random(s);
s_ptr = s.data_handle();
}
T* o_ptr = nullptr;
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
{
auto o = MDSpan{buffer_o.get(), x, y, z};
mdspan_benchmark::fill_random(o);
o_ptr = o.data_handle();
}
int d = global_delta;
for (auto _ : state) {
benchmark::DoNotOptimize(o_ptr);
for(size_t i = d; i < x-d; i ++) {
for(size_t j = d; j < y-d; j ++) {
for(size_t k = d; k < z-d; k ++) {
value_type sum_local = 0;
for(size_t di = i-d; di < i+d+1; di++) {
for(size_t dj = j-d; dj < j+d+1; dj++) {
for(size_t dk = k-d; dk < k+d+1; dk++) {
sum_local += s_ptr[dk + dj*z + di*z*y];
}}}
o_ptr[k + j*z + i*z*y] = sum_local;
}
}
}
benchmark::ClobberMemory();
}
size_t num_inner_elements = (x-d) * (y-d) * (z-d);
size_t stencil_num = (2*d+1) * (2*d+1) * (2*d+1);
state.SetBytesProcessed( num_inner_elements * stencil_num * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(BM_Raw_Stencil_3D_right, size_80_80_80, int(), size_t(80), size_t(80), size_t(80));
BENCHMARK_CAPTURE(BM_Raw_Stencil_3D_right, size_400_400_400, int(), size_t(400), size_t(400), size_t(400));
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/stencil/CMakeLists.txt |
mdspan_add_benchmark(stencil_3d)
if(MDSPAN_ENABLE_CUDA)
add_subdirectory(cuda)
endif()
if(MDSPAN_ENABLE_OPENMP)
add_subdirectory(openmp)
endif()
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/stencil | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/stencil/cuda/CMakeLists.txt |
if(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --extended-lambda")
endif()
mdspan_add_cuda_benchmark(stencil_3d_cuda)
target_include_directories(stencil_3d_cuda PUBLIC
$<BUILD_INTERFACE:${CMAKE_SOURCE_DIR}/benchmarks/stencil>
)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/stencil | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/stencil/cuda/stencil_3d_cuda.cu | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <memory>
#include <random>
#include <sstream>
#include <stdexcept>
#include <iostream>
// Whether to let mapping convert index calculation to the type used
// to index into the mdspan
//#define _MDSPAN_USE_MAPPING_ARG_CAST
// Overwrite what extents.extent() returns and what the actual storage type is
//#define _MDSPAN_OVERWRITE_EXTENTS_SIZE_TYPE int
// Choose the index type used by the code
using idx_t = size_t;
#include "fill.hpp"
#include <experimental/mdspan>
//================================================================================
static constexpr int global_delta = 1;
static constexpr int global_repeat = 16;
//================================================================================
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<Es...>, stdex::layout_right>;
void throw_runtime_exception(const std::string &msg) {
std::ostringstream o;
o << msg;
throw std::runtime_error(o.str());
}
void cuda_internal_error_throw(cudaError e, const char* name,
const char* file = NULL, const int line = 0) {
std::ostringstream out;
out << name << " error( " << cudaGetErrorName(e)
<< "): " << cudaGetErrorString(e);
if (file) {
out << " " << file << ":" << line;
}
throw_runtime_exception(out.str());
}
inline void cuda_internal_safe_call(cudaError e, const char* name,
const char* file = NULL,
const int line = 0) {
if (cudaSuccess != e) {
cuda_internal_error_throw(e, name, file, line);
}
}
#define CUDA_SAFE_CALL(call) \
cuda_internal_safe_call(call, #call, __FILE__, __LINE__)
//================================================================================
dim3 get_bench_thread_block(size_t y,size_t z) {
cudaDeviceProp cudaProp;
int dim_z = 1;
while(dim_z*3<z && dim_z<32) dim_z*=2;
CUDA_SAFE_CALL(cudaGetDeviceProperties(&cudaProp, 1));
int dim_y = 16;
while(dim_y*3<y && dim_y<32) dim_y*=2;
return dim3(1, dim_y, dim_z);
}
template <class F, class... Args>
__global__
void do_run_kernel(F f, Args... args) {
f(args...);
}
template <class F, class... Args>
float run_kernel_timed(size_t N, size_t M, size_t K, F&& f, Args&&... args) {
cudaEvent_t start, stop;
CUDA_SAFE_CALL(cudaEventCreate(&start));
CUDA_SAFE_CALL(cudaEventCreate(&stop));
CUDA_SAFE_CALL(cudaEventRecord(start));
do_run_kernel<<<N, get_bench_thread_block(M,K)>>>(
(F&&)f, ((Args&&) args)...
);
CUDA_SAFE_CALL(cudaEventRecord(stop));
CUDA_SAFE_CALL(cudaEventSynchronize(stop));
float milliseconds = 0;
CUDA_SAFE_CALL(cudaEventElapsedTime(&milliseconds, start, stop));
return milliseconds;
}
template <class MDSpan, class... DynSizes>
MDSpan fill_device_mdspan(MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, dyn...}.mapping().required_span_size();
auto host_buffer = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto host_mdspan = MDSpan{host_buffer.get(), dyn...};
mdspan_benchmark::fill_random(host_mdspan);
value_type* device_buffer = nullptr;
CUDA_SAFE_CALL(cudaMalloc(&device_buffer, buffer_size * sizeof(value_type)));
CUDA_SAFE_CALL(cudaMemcpy(
device_buffer, host_buffer.get(), buffer_size * sizeof(value_type), cudaMemcpyHostToDevice
));
return MDSpan{device_buffer, dyn...};
}
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_Cuda_Stencil_3D(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto s = fill_device_mdspan(MDSpan{}, dyn...);
auto o = fill_device_mdspan(MDSpan{}, dyn...);
idx_t d = static_cast<idx_t>(global_delta);
int repeats = global_repeat==0? (s.extent(0)*s.extent(1)*s.extent(2) > (100*100*100) ? 50 : 1000) : global_repeat;
auto lambda =
[=] __device__ {
for(int r = 0; r < repeats; ++r) {
for(idx_t i = blockIdx.x+d; i < static_cast<idx_t>(s.extent(0))-d; i += gridDim.x) {
for(idx_t j = threadIdx.z+d; j < static_cast<idx_t>(s.extent(1))-d; j += blockDim.z) {
for(idx_t k = threadIdx.y+d; k < static_cast<idx_t>(s.extent(2))-d; k += blockDim.y) {
for(int q=0; q<128; q++) {
value_type sum_local = o(i,j,k);
for(idx_t di = i-d; di < i+d+1; di++) {
for(idx_t dj = j-d; dj < j+d+1; dj++) {
for(idx_t dk = k-d; dk < k+d+1; dk++) {
sum_local += s(di, dj, dk);
}}}
o(i,j,k) = sum_local;
}
}
}
}
}
};
run_kernel_timed(s.extent(0),s.extent(1),s.extent(2),lambda);
for (auto _ : state) {
auto timed = run_kernel_timed(s.extent(0),s.extent(1),s.extent(2),lambda);
// units of cuda timer is milliseconds, units of iteration timer is seconds
state.SetIterationTime(timed * 1e-3);
}
size_t num_inner_elements = (s.extent(0)-d) * (s.extent(1)-d) * (s.extent(2)-d);
size_t stencil_num = (2*d+1) * (2*d+1) * (2*d+1);
state.SetBytesProcessed( num_inner_elements * stencil_num * sizeof(value_type) * state.iterations() * repeats);
state.counters["repeats"] = repeats;
CUDA_SAFE_CALL(cudaDeviceSynchronize());
CUDA_SAFE_CALL(cudaFree(s.data()));
}
MDSPAN_BENCHMARK_ALL_3D_MANUAL(BM_MDSpan_Cuda_Stencil_3D, right_, rmdspan, 80, 80, 80);
//MDSPAN_BENCHMARK_ALL_3D_MANUAL(BM_MDSpan_Cuda_Stencil_3D, left_, lmdspan, 80, 80, 80);
//MDSPAN_BENCHMARK_ALL_3D_MANUAL(BM_MDSpan_Cuda_Stencil_3D, right_, rmdspan, 400, 400, 400);
//MDSPAN_BENCHMARK_ALL_3D_MANUAL(BM_MDSpan_Cuda_Stencil_3D, left_, lmdspan, 400, 400, 400);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Cuda_Stencil_3D_right(benchmark::State& state, T, SizeX x_, SizeY y_, SizeZ z_) {
idx_t d = static_cast<idx_t>(global_delta);
idx_t x = static_cast<idx_t>(x_);
idx_t y = static_cast<idx_t>(y_);
idx_t z = static_cast<idx_t>(z_);
using value_type = T;
value_type* data = nullptr;
value_type* data_o = nullptr;
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<1>>{};
auto s = fill_device_mdspan(wrapped, x*y*z);
data = s.data();
auto o = fill_device_mdspan(wrapped, x*y*z);
data_o = o.data();
}
int repeats = global_repeat==0? (x*y*z > (100*100*100) ? 50 : 1000) : global_repeat;
auto lambda =
[=] __device__ {
for(int r = 0; r < repeats; ++r) {
for(idx_t i = blockIdx.x+d; i < x-d; i += gridDim.x) {
for(idx_t j = threadIdx.z+d; j < y-d; j += blockDim.z) {
for(idx_t k = threadIdx.y+d; k < z-d; k += blockDim.y) {
for(int q=0; q<128; q++) {
value_type sum_local = data_o[k + j*z + i*z*y];
for(idx_t di = i-d; di < i+d+1; di++) {
for(idx_t dj = j-d; dj < j+d+1; dj++) {
for(idx_t dk = k-d; dk < k+d+1; dk++) {
sum_local += data[dk + dj*z + di*z*y];
}}}
data_o[k + j*z + i*z*y] = sum_local;
}
}
}
}
}
};
run_kernel_timed(x,y,z,lambda);
for (auto _ : state) {
auto timed = run_kernel_timed(x,y,z,lambda);
// units of cuda timer is milliseconds, units of iteration timer is seconds
state.SetIterationTime(timed * 1e-3);
}
size_t num_inner_elements = (x-d) * (y-d) * (z-d);
size_t stencil_num = (2*d+1) * (2*d+1) * (2*d+1);
state.SetBytesProcessed( num_inner_elements * stencil_num * sizeof(value_type) * state.iterations() * repeats);
state.counters["repeats"] = repeats;
CUDA_SAFE_CALL(cudaDeviceSynchronize());
CUDA_SAFE_CALL(cudaFree(data));
}
BENCHMARK_CAPTURE(BM_Raw_Cuda_Stencil_3D_right, size_80_80_80, int(), 80, 80, 80);
BENCHMARK_CAPTURE(BM_Raw_Cuda_Stencil_3D_right, size_400_400_400, int(), 400, 400, 400);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Cuda_Stencil_3D_left(benchmark::State& state, T, SizeX x_, SizeY y_, SizeZ z_) {
idx_t d = static_cast<idx_t>(global_delta);
idx_t x = static_cast<idx_t>(x_);
idx_t y = static_cast<idx_t>(y_);
idx_t z = static_cast<idx_t>(z_);
using value_type = T;
value_type* data = nullptr;
value_type* data_o = nullptr;
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<1>>{};
auto s = fill_device_mdspan(wrapped, x*y*z);
data = s.data();
auto o = fill_device_mdspan(wrapped, x*y*z);
data_o = o.data();
}
int repeats = global_repeat==0? (x*y*z > (100*100*100) ? 50 : 1000) : global_repeat;
auto lambda =
[=] __device__ {
for(int r = 0; r < repeats; ++r) {
for(idx_t i = blockIdx.x+d; i < x-d; i += gridDim.x) {
for(idx_t j = threadIdx.z+d; j < y-d; j += blockDim.z) {
for(idx_t k = threadIdx.y+d; k < z-d; k += blockDim.y) {
for(int q=0; q<128; q++) {
value_type sum_local = data_o[k*x*y + j*x + i];
for(idx_t di = i-d; di < i+d+1; di++) {
for(idx_t dj = j-d; dj < j+d+1; dj++) {
for(idx_t dk = k-d; dk < k+d+1; dk++) {
sum_local += data[dk*x*y + dj*x + di];
}}}
data_o[k*x*y + j*x + i] = sum_local;
}
}
}
}
}
};
run_kernel_timed(x,y,z,lambda);
for (auto _ : state) {
auto timed = run_kernel_timed(x,y,z,lambda);
// units of cuda timer is milliseconds, units of iteration timer is seconds
state.SetIterationTime(timed * 1e-3);
}
size_t num_inner_elements = (x-d) * (y-d) * (z-d);
size_t stencil_num = (2*d+1) * (2*d+1) * (2*d+1);
state.SetBytesProcessed( num_inner_elements * stencil_num * sizeof(value_type) * state.iterations() * repeats);
state.counters["repeats"] = repeats;
CUDA_SAFE_CALL(cudaDeviceSynchronize());
CUDA_SAFE_CALL(cudaFree(data));
}
BENCHMARK_CAPTURE(BM_Raw_Cuda_Stencil_3D_left, size_80_80_80, int(), 80, 80, 80);
//BENCHMARK_CAPTURE(BM_Raw_Cuda_Stencil_3D_left, size_400_400_400, int(), 400, 400, 400);
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/stencil | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/stencil/openmp/CMakeLists.txt |
mdspan_add_openmp_benchmark(stencil_3d_openmp)
if(OpenMP_CXX_FOUND)
target_include_directories(stencil_3d_openmp PUBLIC
$<BUILD_INTERFACE:${CMAKE_SOURCE_DIR}/benchmarks/stencil>
)
endif()
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/stencil | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/stencil/openmp/stencil_3d_openmp.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "fill.hpp"
#include <experimental/mdspan>
#include <benchmark/benchmark.h>
#include <memory>
#include <random>
#include <sstream>
#include <stdexcept>
#include <iostream>
#include <chrono>
//================================================================================
static constexpr int global_delta = 1;
//================================================================================
using index_type = int;
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_right>;
void throw_runtime_exception(const std::string &msg) {
std::ostringstream o;
o << msg;
throw std::runtime_error(o.str());
}
template<class MDSpan>
void OpenMP_first_touch_3D(MDSpan s) {
#pragma omp parallel for
for(index_type i = 0; i < s.extent(0); i ++) {
for(index_type j = 0; j < s.extent(1); j ++) {
for(index_type k = 0; k < s.extent(2); k ++) {
s(i,j,k) = 0;
}
}
}
}
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_OpenMP_Stencil_3D(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, dyn...}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), dyn...};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), dyn...};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
int d = global_delta;
#pragma omp parallel for
for(index_type i = d; i < s.extent(0)-d; i ++) {
for(index_type j = d; j < s.extent(1)-d; j ++) {
for(index_type k = d; k < s.extent(2)-d; k ++) {
value_type sum_local = 0;
for(index_type di = i-d; di < i+d+1; di++) {
for(index_type dj = j-d; dj < j+d+1; dj++) {
for(index_type dk = k-d; dk < k+d+1; dk++) {
sum_local += s(di, dj, dk);
}}}
o(i,j,k) = sum_local;
}
}
}
for (auto _ : state) {
#pragma omp parallel for
for(index_type i = d; i < s.extent(0)-d; i ++) {
for(index_type j = d; j < s.extent(1)-d; j ++) {
for(index_type k = d; k < s.extent(2)-d; k ++) {
value_type sum_local = 0;
for(index_type di = i-d; di < i+d+1; di++) {
for(index_type dj = j-d; dj < j+d+1; dj++) {
for(index_type dk = k-d; dk < k+d+1; dk++) {
sum_local += s(di, dj, dk);
}}}
o(i,j,k) = sum_local;
}
}
}
}
size_t num_inner_elements = (s.extent(0)-d) * (s.extent(1)-d) * (s.extent(2)-d);
size_t stencil_num = (2*d+1) * (2*d+1) * (2*d+1);
state.SetBytesProcessed( num_inner_elements * stencil_num * sizeof(value_type) * state.iterations());
}
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_OpenMP_Stencil_3D, right_, rmdspan, 80, 80, 80);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_OpenMP_Stencil_3D, left_, lmdspan, 80, 80, 80);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_OpenMP_Stencil_3D, right_, rmdspan, 400, 400, 400);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_OpenMP_Stencil_3D, left_, lmdspan, 400, 400, 400);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_OpenMP_Stencil_3D_right(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using MDSpan = stdex::mdspan<T, stdex::dextents<index_type, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, x,y,z}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), x,y,z};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
T* s_ptr = s.data_handle();
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), x,y,z};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
T* o_ptr = o.data_handle();
int d = global_delta;
#pragma omp parallel for
for(index_type i = d; i < x-d; i ++) {
for(index_type j = d; j < y-d; j ++) {
for(index_type k = d; k < z-d; k ++) {
value_type sum_local = 0;
for(index_type di = i-d; di < i+d+1; di++) {
for(index_type dj = j-d; dj < j+d+1; dj++) {
for(index_type dk = k-d; dk < k+d+1; dk++) {
sum_local += s_ptr[dk + dj*z + di*z*y];
}}}
o_ptr[k + j*z + i*z*y] = sum_local;
}
}
}
for (auto _ : state) {
#pragma omp parallel for
for(index_type i = d; i < x-d; i ++) {
for(index_type j = d; j < y-d; j ++) {
for(index_type k = d; k < z-d; k ++) {
value_type sum_local = 0;
for(index_type di = i-d; di < i+d+1; di++) {
for(index_type dj = j-d; dj < j+d+1; dj++) {
for(index_type dk = k-d; dk < k+d+1; dk++) {
sum_local += s_ptr[dk + dj*z + di*z*y];
}}}
o_ptr[k + j*z + i*z*y] = sum_local;
}
}
}
}
size_t num_inner_elements = (s.extent(0)-d) * (s.extent(1)-d) * (s.extent(2)-d);
size_t stencil_num = (2*d+1) * (2*d+1) * (2*d+1);
state.SetBytesProcessed( num_inner_elements * stencil_num * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(BM_Raw_OpenMP_Stencil_3D_right, size_80_80_80, int(), 80, 80, 80);
BENCHMARK_CAPTURE(BM_Raw_OpenMP_Stencil_3D_right, size_400_400_400, int(), 400, 400, 400);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_OpenMP_Stencil_3D_left(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using MDSpan = stdex::mdspan<T, stdex::dextents<index_type, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, x,y,z}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), x,y,z};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
T* s_ptr = s.data_handle();
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), x,y,z};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
T* o_ptr = o.data_handle();
int d = global_delta;
#pragma omp parallel for
for(index_type i = d; i < x-d; i ++) {
for(index_type j = d; j < y-d; j ++) {
for(index_type k = d; k < z-d; k ++) {
value_type sum_local = 0;
for(index_type di = i-d; di < i+d+1; di++) {
for(index_type dj = j-d; dj < j+d+1; dj++) {
for(index_type dk = k-d; dk < k+d+1; dk++) {
sum_local += s_ptr[dk*x*y + dj*x + di];
}}}
o_ptr[k*x*y + j*x + i] = sum_local;
}
}
}
for (auto _ : state) {
#pragma omp parallel for
for(index_type i = d; i < x-d; i ++) {
for(index_type j = d; j < y-d; j ++) {
for(index_type k = d; k < z-d; k ++) {
value_type sum_local = 0;
for(index_type di = i-d; di < i+d+1; di++) {
for(index_type dj = j-d; dj < j+d+1; dj++) {
for(index_type dk = k-d; dk < k+d+1; dk++) {
sum_local += s_ptr[dk*x*y + dj*x + di];
}}}
o_ptr[k*x*y + j*x + i] = sum_local;
}
}
}
}
size_t num_inner_elements = (s.extent(0)-d) * (s.extent(1)-d) * (s.extent(2)-d);
size_t stencil_num = (2*d+1) * (2*d+1) * (2*d+1);
state.SetBytesProcessed( num_inner_elements * stencil_num * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(BM_Raw_OpenMP_Stencil_3D_left, size_80_80_80, int(), 80, 80, 80);
BENCHMARK_CAPTURE(BM_Raw_OpenMP_Stencil_3D_left, size_400_400_400, int(), 400, 400, 400);
template <class MDSpan>
typename MDSpan::value_type*** make_3d_ptr_array(MDSpan s) {
static_assert(std::is_same<typename MDSpan::layout_type,std::experimental::layout_right>::value,"Creating MD Ptr only works from mdspan with layout_right");
using value_type = typename MDSpan::value_type;
value_type*** ptr= new value_type**[s.extent(0)];
for(index_type i = 0; i<s.extent(0); i++) {
ptr[i] = new value_type*[s.extent(1)];
for(index_type j = 0; j<s.extent(1); j++)
ptr[i][j]=&s(i,j,0);
}
return ptr;
}
template <class T>
void free_3d_ptr_array(T*** ptr, size_t extent_0) {
for(size_t i=0; i<extent_0; i++)
delete [] ptr[i];
delete [] ptr;
}
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_RawMDPtr_OpenMP_Stencil_3D_right(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using MDSpan = stdex::mdspan<T, stdex::dextents<index_type, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, x,y,z}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), x,y,z};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
T*** s_ptr = make_3d_ptr_array(s);
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), x,y,z};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
T*** o_ptr = make_3d_ptr_array(o);
int d = global_delta;
#pragma omp parallel for
for(index_type i = d; i < x-d; i ++) {
for(index_type j = d; j < y-d; j ++) {
for(index_type k = d; k < z-d; k ++) {
value_type sum_local = 0;
for(index_type di = i-d; di < i+d+1; di++) {
for(index_type dj = j-d; dj < j+d+1; dj++) {
for(index_type dk = k-d; dk < k+d+1; dk++) {
sum_local += s_ptr[0][0][0];
}}}
o_ptr[i][j][k] = sum_local;
}
}
}
for (auto _ : state) {
#pragma omp parallel for
for(index_type i = d; i < x-d; i ++) {
for(index_type j = d; j < y-d; j ++) {
for(index_type k = d; k < z-d; k ++) {
value_type sum_local = 0;
for(index_type di = i-d; di < i+d+1; di++) {
for(index_type dj = j-d; dj < j+d+1; dj++) {
for(index_type dk = k-d; dk < k+d+1; dk++) {
sum_local += s_ptr[di][dj][dk];
}}}
o_ptr[i][j][k] = sum_local;
}
}
}
}
size_t num_inner_elements = (s.extent(0)-d) * (s.extent(1)-d) * (s.extent(2)-d);
size_t stencil_num = (2*d+1) * (2*d+1) * (2*d+1);
state.SetBytesProcessed( num_inner_elements * stencil_num * sizeof(value_type) * state.iterations());
free_3d_ptr_array(s_ptr,s.extent(0));
free_3d_ptr_array(o_ptr,o.extent(0));
}
BENCHMARK_CAPTURE(BM_RawMDPtr_OpenMP_Stencil_3D_right, size_80_80_80, int(), 80, 80, 80);
BENCHMARK_CAPTURE(BM_RawMDPtr_OpenMP_Stencil_3D_right, size_400_400_400, int(), 400, 400, 400);
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/copy/CMakeLists.txt |
mdspan_add_benchmark(copy_layout_stride)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/copy/copy_layout_stride.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <benchmark/benchmark.h>
#include "fill.hpp"
using index_type = int;
namespace stdex = std::experimental;
_MDSPAN_INLINE_VARIABLE constexpr auto dyn = stdex::dynamic_extent;
template <class MDSpan, class... DynSizes>
void BM_MDSpan_Copy_2D_right(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto buffer2 = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto s = MDSpan{buffer.get(), dyn...};
mdspan_benchmark::fill_random(s);
auto dest = MDSpan{buffer2.get(), dyn...};
for (auto _ : state) {
for(index_type i = 0; i < s.extent(0); ++i) {
for (index_type j = 0; j < s.extent(1); ++j) {
dest(i, j) = s(i, j);
}
}
benchmark::DoNotOptimize(s.data_handle());
benchmark::DoNotOptimize(dest.data_handle());
}
state.SetBytesProcessed(s.size() * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(
BM_MDSpan_Copy_2D_right, size_100_100, stdex::mdspan<int, stdex::extents<index_type, 100, 100>>(nullptr)
);
BENCHMARK_CAPTURE(
BM_MDSpan_Copy_2D_right, size_100_dyn, stdex::mdspan<int, stdex::extents<index_type, 100, dyn>>(), 100
);
BENCHMARK_CAPTURE(
BM_MDSpan_Copy_2D_right, size_dyn_dyn, stdex::mdspan<int, stdex::dextents<index_type, 2>>(), 100, 100
);
//================================================================================
template <class MDSpan, class LayoutMapping>
void BM_MDSpan_Copy_2D_stride(benchmark::State& state, MDSpan, LayoutMapping map) {
benchmark::DoNotOptimize(map);
using value_type = typename MDSpan::value_type;
auto buffer = std::make_unique<value_type[]>(
map.required_span_size()
);
auto buffer2 = std::make_unique<value_type[]>(
map.required_span_size()
);
auto s = MDSpan{buffer.get(), map};
mdspan_benchmark::fill_random(s);
auto dest = MDSpan{buffer2.get(), map};
for (auto _ : state) {
for(index_type i = 0; i < s.extent(0); ++i) {
for (index_type j = 0; j < s.extent(1); ++j) {
dest(i, j) = s(i, j);
}
}
benchmark::DoNotOptimize(s.data_handle());
benchmark::DoNotOptimize(dest.data_handle());
}
state.SetBytesProcessed(s.size() * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(
BM_MDSpan_Copy_2D_stride, size_100_100,
stdex::mdspan<int, stdex::extents<index_type, 100, 100>, stdex::layout_stride>(nullptr,
stdex::layout_stride::mapping<stdex::extents<index_type, 100, 100>>()),
stdex::layout_stride::template mapping<stdex::extents<index_type, 100, 100>>(
stdex::extents<index_type, 100, 100>{},
// layout right
std::array<size_t, 2>{100, 1}
)
);
BENCHMARK_CAPTURE(
BM_MDSpan_Copy_2D_stride, size_100_100d,
stdex::mdspan<int, stdex::extents<index_type, 100, dyn>, stdex::layout_stride>(),
stdex::layout_stride::template mapping<stdex::extents<index_type, 100, dyn>>(
stdex::extents<index_type, 100, dyn>{100},
// layout right
std::array<size_t, 2>{100, 1}
)
);
BENCHMARK_CAPTURE(
BM_MDSpan_Copy_2D_stride, size_100d_100,
stdex::mdspan<int, stdex::extents<index_type, dyn, 100>, stdex::layout_stride>(),
stdex::layout_stride::template mapping<stdex::extents<index_type, dyn, 100>>(
stdex::extents<index_type, dyn, 100>{100},
// layout right
std::array<size_t, 2>{100, 1}
)
);
BENCHMARK_CAPTURE(
BM_MDSpan_Copy_2D_stride, size_100d_100d,
stdex::mdspan<int, stdex::extents<index_type, dyn, dyn>, stdex::layout_stride>(),
stdex::layout_stride::template mapping<stdex::extents<index_type, dyn, dyn>>(
stdex::extents<index_type, dyn, dyn>{100, 100},
// layout right
std::array<size_t, 2>{100, 1}
)
);
//================================================================================
template <class T, class Extents, class MapSrc, class MapDst>
void BM_MDSpan_Copy_2D_stride_diff_map(benchmark::State& state,
T, Extents, MapSrc map_src, MapDst map_dest
) {
using value_type = T;
auto buff_src = std::make_unique<value_type[]>(
map_src.required_span_size()
);
auto buff_dest = std::make_unique<value_type[]>(
map_dest.required_span_size()
);
using map_stride_dyn = stdex::layout_stride;
using mdspan_type = stdex::mdspan<T, Extents, map_stride_dyn>;
auto src = mdspan_type{buff_src.get(), map_src};
mdspan_benchmark::fill_random(src);
auto dest = mdspan_type{buff_dest.get(), map_dest};
for (auto _ : state) {
for(index_type i = 0; i < src.extent(0); ++i) {
for (index_type j = 0; j < src.extent(1); ++j) {
dest(i, j) = src(i, j);
}
}
benchmark::DoNotOptimize(src.data_handle());
benchmark::DoNotOptimize(dest.data_handle());
}
state.SetBytesProcessed(src.extent(0) * src.extent(1) * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(
BM_MDSpan_Copy_2D_stride_diff_map, size_100d_100d_bcast_0, int(),
stdex::extents<index_type, dyn, dyn>{100, 100},
stdex::layout_stride::template mapping<stdex::extents<index_type, dyn, dyn>>(
stdex::extents<index_type, dyn, dyn>{100, 100},
// layout right
std::array<size_t, 2>{0, 1}
),
stdex::layout_stride::template mapping<stdex::extents<index_type, dyn, dyn>>(
stdex::extents<index_type, dyn, dyn>{100, 100},
// layout right
std::array<size_t, 2>{100, 1}
)
);
BENCHMARK_CAPTURE(
BM_MDSpan_Copy_2D_stride_diff_map, size_100d_100d_bcast_1, int(),
stdex::extents<index_type, dyn, dyn>{100, 100},
stdex::layout_stride::template mapping<stdex::extents<index_type, dyn, dyn>>(
stdex::extents<index_type, dyn, dyn>{100, 100},
// layout right
std::array<size_t, 2>{1, 0}
),
stdex::layout_stride::template mapping<stdex::extents<index_type, dyn, dyn>>(
stdex::extents<index_type, dyn, dyn>{100, 100},
// layout right
std::array<size_t, 2>{100, 1}
)
);
BENCHMARK_CAPTURE(
BM_MDSpan_Copy_2D_stride_diff_map, size_100d_100d_bcast_both, int(),
stdex::extents<index_type, dyn, dyn>{100, 100},
stdex::layout_stride::template mapping<stdex::extents<index_type, dyn, dyn>>(
stdex::extents<index_type, dyn, dyn>{100, 100},
// layout right
std::array<size_t, 2>{0, 0}
),
stdex::layout_stride::template mapping<stdex::extents<index_type, dyn, dyn>>(
stdex::extents<index_type, dyn, dyn>{100, 100},
// layout right
std::array<size_t, 2>{100, 1}
)
);
//================================================================================
template <class T>
void BM_Raw_Copy_1D(benchmark::State& state, T, size_t size) {
benchmark::DoNotOptimize(size);
using value_type = T;
auto buffer = std::make_unique<value_type[]>(size);
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<index_type, 1>>{buffer.get(), size};
mdspan_benchmark::fill_random(wrapped);
}
value_type* src = buffer.get();
auto buffer2 = std::make_unique<value_type[]>(size);
value_type* dest = buffer2.get();
for (auto _ : state) {
for(size_t i = 0; i < size; ++i) {
dest[i] = src[i];
}
benchmark::DoNotOptimize(src);
benchmark::DoNotOptimize(dest);
}
state.SetBytesProcessed(size * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(
BM_Raw_Copy_1D, size_10000, int(), 10000
);
//================================================================================
template <class T>
void BM_Raw_Copy_2D(benchmark::State& state, T, size_t x, size_t y) {
using value_type = T;
auto buffer = std::make_unique<value_type[]>(x * y);
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<index_type, 1>>{buffer.get(), x * y};
mdspan_benchmark::fill_random(wrapped);
}
value_type* src = buffer.get();
auto buffer2 = std::make_unique<value_type[]>(x * y);
value_type* dest = buffer2.get();
for (auto _ : state) {
for(size_t i = 0; i < x; ++i) {
for(size_t j = 0; j < y; ++j) {
dest[i*y + j] = src[i*y + j];
}
}
benchmark::DoNotOptimize(src);
benchmark::DoNotOptimize(dest);
}
state.SetBytesProcessed(x * y * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(
BM_Raw_Copy_2D, size_100_100, int(), 100, 100
);
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/matvec/CMakeLists.txt |
if(MDSPAN_ENABLE_CUDA)
add_subdirectory(cuda)
endif()
if(MDSPAN_ENABLE_OPENMP)
add_subdirectory(openmp)
endif()
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/matvec | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/matvec/cuda/CMakeLists.txt |
mdspan_add_cuda_benchmark(matvec_cuda)
target_include_directories(matvec_cuda PUBLIC
$<BUILD_INTERFACE:${CMAKE_SOURCE_DIR}/benchmarks/matvec>
)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/matvec | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/matvec/cuda/matvec_cuda.cu | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "fill.hpp"
#include <experimental/mdspan>
#include <memory>
#include <random>
#include <sstream>
#include <stdexcept>
#include <iostream>
//================================================================================
static constexpr int global_delta = 1;
static constexpr int global_repeat = 16;
//================================================================================
using size_type = int;
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<size_type, Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<size_type, Es...>, stdex::layout_right>;
void throw_runtime_exception(const std::string &msg) {
std::ostringstream o;
o << msg;
throw std::runtime_error(o.str());
}
void cuda_internal_error_throw(cudaError e, const char* name,
const char* file = NULL, const int line = 0) {
std::ostringstream out;
out << name << " error( " << cudaGetErrorName(e)
<< "): " << cudaGetErrorString(e);
if (file) {
out << " " << file << ":" << line;
}
throw_runtime_exception(out.str());
}
inline void cuda_internal_safe_call(cudaError e, const char* name,
const char* file = NULL,
const int line = 0) {
if (cudaSuccess != e) {
cuda_internal_error_throw(e, name, file, line);
}
}
#define CUDA_SAFE_CALL(call) \
cuda_internal_safe_call(call, #call, __FILE__, __LINE__)
//================================================================================
template <class F, class... Args>
__global__
void do_run_kernel(F f, Args... args) {
f(args...);
}
template <class F, class... Args>
float run_kernel_timed(size_t N, size_t M, F&& f, Args&&... args) {
cudaEvent_t start, stop;
CUDA_SAFE_CALL(cudaEventCreate(&start));
CUDA_SAFE_CALL(cudaEventCreate(&stop));
CUDA_SAFE_CALL(cudaEventRecord(start));
do_run_kernel<<<(N+255)/256,256>>>(
(F&&)f, ((Args&&) args)...
);
CUDA_SAFE_CALL(cudaEventRecord(stop));
CUDA_SAFE_CALL(cudaEventSynchronize(stop));
float milliseconds = 0;
CUDA_SAFE_CALL(cudaEventElapsedTime(&milliseconds, start, stop));
return milliseconds;
}
template <class MDSpan, class... DynSizes>
MDSpan fill_device_mdspan(MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, dyn...}.mapping().required_span_size();
auto host_buffer = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto host_mdspan = MDSpan{host_buffer.get(), dyn...};
mdspan_benchmark::fill_random(host_mdspan);
value_type* device_buffer = nullptr;
CUDA_SAFE_CALL(cudaMalloc(&device_buffer, buffer_size * sizeof(value_type)));
CUDA_SAFE_CALL(cudaMemcpy(
device_buffer, host_buffer.get(), buffer_size * sizeof(value_type), cudaMemcpyHostToDevice
));
return MDSpan{device_buffer, dyn...};
}
//================================================================================
template <class MDSpanMatrix, class... DynSizes>
void BM_MDSpan_CUDA_MatVec(benchmark::State& state, MDSpanMatrix, DynSizes... dyn) {
using value_type = typename MDSpanMatrix::value_type;
using MDSpanVector = lmdspan<value_type,stdex::dynamic_extent>;
auto A = fill_device_mdspan(MDSpanMatrix{}, dyn...);
auto x = fill_device_mdspan(MDSpanVector{}, A.extent(1));
auto y = fill_device_mdspan(MDSpanVector{}, A.extent(0));
auto lambda =
[=] __device__ {
const size_t i = blockIdx.x * blockDim.x + threadIdx.x;
if(i>=A.extent(0)) return;
value_type y_i = 0;
for(size_t j = 0; j < A.extent(1); j ++) {
y_i += A(i,j) * x(j);
}
y(i) = y_i;
};
run_kernel_timed(A.extent(0),A.extent(1),lambda);
for (auto _ : state) {
auto timed = run_kernel_timed(A.extent(0),A.extent(1),lambda);
// units of cuda timer is milliseconds, units of iteration timer is seconds
state.SetIterationTime(timed * 1e-3);
}
size_t num_elements = 2 * A.extent(0) * A.extent(1) + 2 * A.extent(0);
state.SetBytesProcessed( num_elements * sizeof(value_type) * state.iterations() );
CUDA_SAFE_CALL(cudaDeviceSynchronize());
CUDA_SAFE_CALL(cudaFree(A.data()));
CUDA_SAFE_CALL(cudaFree(x.data()));
CUDA_SAFE_CALL(cudaFree(y.data()));
}
BENCHMARK_CAPTURE(BM_MDSpan_CUDA_MatVec, left, lmdspan<double,stdex::dynamic_extent,stdex::dynamic_extent>(), 100000, 5000);
BENCHMARK_CAPTURE(BM_MDSpan_CUDA_MatVec, right, rmdspan<double,stdex::dynamic_extent,stdex::dynamic_extent>(), 100000, 5000);
template <class MDSpanMatrix, class... DynSizes>
void BM_MDSpan_CUDA_MatVec_Raw_Right(benchmark::State& state, MDSpanMatrix, DynSizes... dyn) {
using value_type = typename MDSpanMatrix::value_type;
using MDSpanVector = lmdspan<value_type,stdex::dynamic_extent>;
auto A = fill_device_mdspan(MDSpanMatrix{}, dyn...);
auto x = fill_device_mdspan(MDSpanVector{}, A.extent(1));
auto y = fill_device_mdspan(MDSpanVector{}, A.extent(0));
size_t N = A.extent(0);
size_t M = A.extent(1);
value_type* p_A = A.data();
value_type* p_x = x.data();
value_type* p_y = y.data();
auto lambda =
[=] __device__ {
const size_t i = blockIdx.x * blockDim.x + threadIdx.x;
if(i>=N) return;
value_type y_i = 0;
for(size_t j = 0; j < M; j ++) {
y_i += p_A[i*M+j] * p_x[j];
}
p_y[i] = y_i;
};
run_kernel_timed(N,M,lambda);
for (auto _ : state) {
auto timed = run_kernel_timed(N,M,lambda);
// units of cuda timer is milliseconds, units of iteration timer is seconds
state.SetIterationTime(timed * 1e-3);
}
size_t num_elements = 2 * A.extent(0) * A.extent(1) + 2 * A.extent(0);
state.SetBytesProcessed( num_elements * sizeof(value_type) * state.iterations() );
CUDA_SAFE_CALL(cudaDeviceSynchronize());
CUDA_SAFE_CALL(cudaFree(A.data()));
CUDA_SAFE_CALL(cudaFree(x.data()));
CUDA_SAFE_CALL(cudaFree(y.data()));
}
BENCHMARK_CAPTURE(BM_MDSpan_CUDA_MatVec_Raw_Right, right, rmdspan<double,stdex::dynamic_extent,stdex::dynamic_extent>(), 100000, 5000);
template <class MDSpanMatrix, class... DynSizes>
void BM_MDSpan_CUDA_MatVec_Raw_Left(benchmark::State& state, MDSpanMatrix, DynSizes... dyn) {
using value_type = typename MDSpanMatrix::value_type;
using MDSpanVector = lmdspan<value_type,stdex::dynamic_extent>;
auto A = fill_device_mdspan(MDSpanMatrix{}, dyn...);
auto x = fill_device_mdspan(MDSpanVector{}, A.extent(1));
auto y = fill_device_mdspan(MDSpanVector{}, A.extent(0));
size_t N = A.extent(0);
size_t M = A.extent(1);
value_type* p_A = A.data();
value_type* p_x = x.data();
value_type* p_y = y.data();
auto lambda =
[=] __device__ {
const size_t i = blockIdx.x * blockDim.x + threadIdx.x;
if(i>=N) return;
value_type y_i = 0;
for(size_t j = 0; j < M; j ++) {
y_i += p_A[i+j*N] * p_x[j];
}
p_y[i] = y_i;
};
run_kernel_timed(N,M,lambda);
for (auto _ : state) {
auto timed = run_kernel_timed(N,M,lambda);
// units of cuda timer is milliseconds, units of iteration timer is seconds
state.SetIterationTime(timed * 1e-3);
}
size_t num_elements = 2 * A.extent(0) * A.extent(1) + 2 * A.extent(0);
state.SetBytesProcessed( num_elements * sizeof(value_type) * state.iterations());
CUDA_SAFE_CALL(cudaDeviceSynchronize());
CUDA_SAFE_CALL(cudaFree(A.data()));
CUDA_SAFE_CALL(cudaFree(x.data()));
CUDA_SAFE_CALL(cudaFree(y.data()));
}
BENCHMARK_CAPTURE(BM_MDSpan_CUDA_MatVec_Raw_Left, left, lmdspan<double,stdex::dynamic_extent,stdex::dynamic_extent>(), 100000, 5000);
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/matvec | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/matvec/openmp/matvec_openmp.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <memory>
#include <random>
#include <sstream>
#include <stdexcept>
#include "fill.hpp"
//================================================================================
static constexpr int global_repeat = 1;
//================================================================================
using index_type = int;
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_right>;
void throw_runtime_exception(const std::string &msg) {
std::ostringstream o;
o << msg;
throw std::runtime_error(o.str());
}
template<class MDSpan>
void OpenMP_first_touch_2D(MDSpan s) {
#pragma omp parallel for
for(index_type i = 0; i < s.extent(0); i ++) {
for(index_type j = 0; j < s.extent(1); j ++) {
s(i,j) = 0;
}
}
}
template<class MDSpan>
void OpenMP_first_touch_1D(MDSpan s) {
#pragma omp parallel for
for(index_type i = 0; i < s.extent(0); i ++) {
s(i) = 0;
}
}
//================================================================================
template <class MDSpanMatrix, class... DynSizes>
void BM_MDSpan_OpenMP_MatVec(benchmark::State& state, MDSpanMatrix, DynSizes... dyn) {
using value_type = typename MDSpanMatrix::value_type;
using MDSpanVector = lmdspan<value_type,stdex::dynamic_extent>;
auto buffer_size_A = MDSpanMatrix{nullptr, dyn...}.mapping().required_span_size();
auto buffer_A = std::make_unique<value_type[]>(buffer_size_A);
auto A = MDSpanMatrix{buffer_A.get(), dyn...};
OpenMP_first_touch_2D(A);
mdspan_benchmark::fill_random(A);
auto buffer_size_x = MDSpanVector{nullptr, A.extent(1)}.mapping().required_span_size();
auto buffer_x = std::make_unique<value_type[]>(buffer_size_x);
auto x = MDSpanVector{buffer_x.get(), A.extent(1)};
OpenMP_first_touch_1D(x);
mdspan_benchmark::fill_random(x);
auto buffer_size_y = MDSpanVector{nullptr, A.extent(0)}.mapping().required_span_size();
auto buffer_y = std::make_unique<value_type[]>(buffer_size_y);
auto y = MDSpanVector{buffer_y.get(), A.extent(0)};
OpenMP_first_touch_1D(y);
mdspan_benchmark::fill_random(y);
#pragma omp parallel for
for(index_type i = 0; i < A.extent(0); i ++) {
value_type y_i = 0;
for(index_type j = 0; j < A.extent(1); j ++) {
y_i += A(i,j) * x(j);
}
y(i) = y_i;
}
int R = 10;
for (auto _ : state) {
benchmark::DoNotOptimize(A.data_handle());
benchmark::DoNotOptimize(y.data_handle());
benchmark::DoNotOptimize(x.data_handle());
for(int r=0; r<R; r++) {
#pragma omp parallel for
for(index_type i = 0; i < A.extent(0); i ++) {
value_type y_i = 0;
for(index_type j = 0; j < A.extent(1); j ++) {
y_i += A(i,j) * x(j);
}
y(i) += y_i;
}
}
benchmark::ClobberMemory();
}
size_t num_elements = 2 * A.extent(0) * A.extent(1) + 2 * A.extent(0);
state.SetBytesProcessed( R * num_elements * sizeof(value_type) * state.iterations() * global_repeat);
state.counters["repeats"] = global_repeat;
}
BENCHMARK_CAPTURE(BM_MDSpan_OpenMP_MatVec, left, lmdspan<double,stdex::dynamic_extent,stdex::dynamic_extent>(), 100000, 5000);
BENCHMARK_CAPTURE(BM_MDSpan_OpenMP_MatVec, right, rmdspan<double,stdex::dynamic_extent,stdex::dynamic_extent>(), 100000, 5000);
template <class MDSpanMatrix, class... DynSizes>
void BM_MDSpan_OpenMP_MatVec_Raw_Left(benchmark::State& state, MDSpanMatrix, DynSizes... dyn) {
using value_type = typename MDSpanMatrix::value_type;
using MDSpanVector = lmdspan<value_type,stdex::dynamic_extent>;
auto buffer_size_A = MDSpanMatrix{nullptr, dyn...}.mapping().required_span_size();
auto buffer_A = std::make_unique<value_type[]>(buffer_size_A);
auto A = MDSpanMatrix{buffer_A.get(), dyn...};
OpenMP_first_touch_2D(A);
mdspan_benchmark::fill_random(A);
auto buffer_size_x = MDSpanVector{nullptr, A.extent(1)}.mapping().required_span_size();
auto buffer_x = std::make_unique<value_type[]>(buffer_size_x);
auto x = MDSpanVector{buffer_x.get(), A.extent(1)};
OpenMP_first_touch_1D(x);
mdspan_benchmark::fill_random(x);
auto buffer_size_y = MDSpanVector{nullptr, A.extent(0)}.mapping().required_span_size();
auto buffer_y = std::make_unique<value_type[]>(buffer_size_y);
auto y = MDSpanVector{buffer_y.get(), A.extent(0)};
OpenMP_first_touch_1D(y);
mdspan_benchmark::fill_random(y);
index_type N = A.extent(0);
index_type M = A.extent(1);
value_type* p_A = A.data_handle();
value_type* p_x = x.data_handle();
value_type* p_y = y.data_handle();
#pragma omp parallel for
for(index_type i = 0; i < N; i ++) {
value_type y_i = 0;
for(index_type j = 0; j < M; j ++) {
y_i += p_A[i + j * N] * x[j];
}
y[i] = y_i;
}
int R = 10;
for (auto _ : state) {
benchmark::DoNotOptimize(A.data_handle());
benchmark::DoNotOptimize(y.data_handle());
benchmark::DoNotOptimize(x.data_handle());
for(int r=0; r<R; r++) {
#pragma omp parallel for
for(index_type i = 0; i < A.extent(0); i ++) {
value_type y_i = 0;
for(index_type j = 0; j < A.extent(1); j ++) {
y_i += p_A[i + j * N] * p_x[j];
}
p_y[i] += y_i;
}
}
benchmark::ClobberMemory();
}
size_t num_elements = 2 * A.extent(0) * A.extent(1) + 2 * A.extent(0);
state.SetBytesProcessed( R * num_elements * sizeof(value_type) * state.iterations() * global_repeat);
state.counters["repeats"] = global_repeat;
}
BENCHMARK_CAPTURE(BM_MDSpan_OpenMP_MatVec_Raw_Left, left, lmdspan<double,stdex::dynamic_extent,stdex::dynamic_extent>(), 100000, 5000);
template <class MDSpanMatrix, class... DynSizes>
void BM_MDSpan_OpenMP_MatVec_Raw_Right(benchmark::State& state, MDSpanMatrix, DynSizes... dyn) {
using value_type = typename MDSpanMatrix::value_type;
using MDSpanVector = lmdspan<value_type,stdex::dynamic_extent>;
auto buffer_size_A = MDSpanMatrix{nullptr, dyn...}.mapping().required_span_size();
auto buffer_A = std::make_unique<value_type[]>(buffer_size_A);
auto A = MDSpanMatrix{buffer_A.get(), dyn...};
OpenMP_first_touch_2D(A);
mdspan_benchmark::fill_random(A);
auto buffer_size_x = MDSpanVector{nullptr, A.extent(1)}.mapping().required_span_size();
auto buffer_x = std::make_unique<value_type[]>(buffer_size_x);
auto x = MDSpanVector{buffer_x.get(), A.extent(1)};
OpenMP_first_touch_1D(x);
mdspan_benchmark::fill_random(x);
auto buffer_size_y = MDSpanVector{nullptr, A.extent(0)}.mapping().required_span_size();
auto buffer_y = std::make_unique<value_type[]>(buffer_size_y);
auto y = MDSpanVector{buffer_y.get(), A.extent(0)};
OpenMP_first_touch_1D(y);
mdspan_benchmark::fill_random(y);
index_type N = A.extent(0);
index_type M = A.extent(1);
value_type* p_A = A.data_handle();
value_type* p_x = x.data_handle();
value_type* p_y = y.data_handle();
#pragma omp parallel for
for(index_type i = 0; i < N; i ++) {
value_type y_i = 0;
for(index_type j = 0; j < M; j ++) {
y_i += p_A[i * M + j] * x[j];
}
y[i] = y_i;
}
int R = 10;
for (auto _ : state) {
benchmark::DoNotOptimize(A.data_handle());
benchmark::DoNotOptimize(y.data_handle());
benchmark::DoNotOptimize(x.data_handle());
for(int r=0; r<R; r++) {
#pragma omp parallel for
for(index_type i = 0; i < A.extent(0); i ++) {
value_type y_i = 0;
for(index_type j = 0; j < A.extent(1); j ++) {
y_i += p_A[i * M + j] * p_x[j];
}
p_y[i] += y_i;
}
}
benchmark::ClobberMemory();
}
size_t num_elements = 2 * A.extent(0) * A.extent(1) + 2 * A.extent(0);
state.SetBytesProcessed( R * num_elements * sizeof(value_type) * state.iterations() * global_repeat);
state.counters["repeats"] = global_repeat;
}
BENCHMARK_CAPTURE(BM_MDSpan_OpenMP_MatVec_Raw_Right, right, rmdspan<double,stdex::dynamic_extent,stdex::dynamic_extent>(), 100000, 5000);
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/matvec | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/matvec/openmp/CMakeLists.txt |
mdspan_add_openmp_benchmark(matvec_openmp)
if(OpenMP_CXX_FOUND)
target_include_directories(matvec_openmp PUBLIC
$<BUILD_INTERFACE:${CMAKE_SOURCE_DIR}/benchmarks/matvec>
)
endif()
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/tiny_matrix_add/CMakeLists.txt |
mdspan_add_benchmark(tiny_matrix_add)
if(MDSPAN_ENABLE_OPENMP)
add_subdirectory(openmp)
endif()
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/tiny_matrix_add/tiny_matrix_add.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <memory>
#include <stdexcept>
#include "fill.hpp"
//================================================================================
using index_type = int;
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_right>;
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_TinyMatrixSum_right(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, dyn...}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), dyn...};
mdspan_benchmark::fill_random(s);
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), dyn...};
mdspan_benchmark::fill_random(o);
for (auto _ : state) {
benchmark::DoNotOptimize(o);
benchmark::DoNotOptimize(o.data_handle());
benchmark::DoNotOptimize(s);
benchmark::DoNotOptimize(s.data_handle());
for(index_type i = 0; i < s.extent(0); i ++) {
for(index_type j = 0; j < s.extent(1); j ++) {
for(index_type k = 0; k < s.extent(2); k ++) {
o(i,j,k) += s(i,j,k);
}
}
}
benchmark::ClobberMemory();
}
size_t num_elements = (s.extent(0) * s.extent(1) * s.extent(2));
state.SetBytesProcessed( num_elements * 3 * sizeof(value_type) * state.iterations() );
}
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_TinyMatrixSum_right, right_, lmdspan, 1000000, 3, 3);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_TinyMatrixSum_right, left_, lmdspan, 1000000, 3, 3);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Static_TinyMatrixSum_right(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using MDSpan = stdex::mdspan<T, stdex::dextents<index_type, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, x,y,z}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), x,y,z};
mdspan_benchmark::fill_random(s);
T* s_ptr = s.data_handle();
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), x,y,z};
mdspan_benchmark::fill_random(o);
T* o_ptr = o.data_handle();
for (auto _ : state) {
benchmark::DoNotOptimize(o_ptr);
benchmark::DoNotOptimize(s_ptr);
for(index_type i = 0; i < 1000000; i ++) {
for(index_type j = 0; j < 3; j ++) {
for(index_type k = 0; k < 3; k ++) {
o_ptr[k + j*3 + i*3*3] += s_ptr[k + j*3 + i*3*3];
}
}
}
benchmark::ClobberMemory();
}
size_t num_inner_elements = x * y * z;
state.SetBytesProcessed( num_inner_elements * 3 * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(BM_Raw_Static_TinyMatrixSum_right, size_1000000_3_3, int(), 1000000, 3, 3);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_TinyMatrixSum_right(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
benchmark::DoNotOptimize(x);
benchmark::DoNotOptimize(y);
benchmark::DoNotOptimize(z);
using MDSpan = stdex::mdspan<T, stdex::dextents<index_type, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_s = std::make_unique<value_type[]>(x * y * z);
{
auto s = MDSpan{buffer_s.get(), x, y, z};
mdspan_benchmark::fill_random(s);
}
T* s_ptr = buffer_s.get();
auto buffer_o = std::make_unique<value_type[]>(x * y * z);
{
auto o = MDSpan{buffer_o.get(), x, y, z};
mdspan_benchmark::fill_random(o);
}
T* o_ptr = buffer_o.get();
for (auto _ : state) {
benchmark::DoNotOptimize(o_ptr);
benchmark::DoNotOptimize(s_ptr);
for(SizeX i = 0; i < x; i ++) {
for(SizeY j = 0; j < y; j ++) {
for(SizeZ k = 0; k < z; k ++) {
o_ptr[k + j*z + i*z*y] += s_ptr[k + j*z + i*z*y];
}
}
}
benchmark::ClobberMemory();
}
size_t num_inner_elements = x * y * z;
state.SetBytesProcessed( num_inner_elements * y * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(BM_Raw_TinyMatrixSum_right, size_1000000_3_3, int(), size_t(1000000), size_t(3), size_t(3));
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/tiny_matrix_add | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/tiny_matrix_add/openmp/tiny_matrix_add_openmp.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <memory>
#include <random>
#include <sstream>
#include <stdexcept>
#include <omp.h>
#include "fill.hpp"
//================================================================================
static constexpr int global_repeat = 1;
//================================================================================
using index_type = int;
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_right>;
void throw_runtime_exception(const std::string &msg) {
std::ostringstream o;
o << msg;
throw std::runtime_error(o.str());
}
template<class MDSpan>
void OpenMP_first_touch_3D(MDSpan s) {
#pragma omp parallel for
for(index_type i = 0; i < s.extent(0); i ++) {
for(index_type j = 0; j < s.extent(1); j ++) {
for(index_type k = 0; k < s.extent(2); k ++) {
s(i,j,k) = 0;
}
}
}
}
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_OpenMP_noloop_TinyMatrixSum(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, dyn...}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), dyn...};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), dyn...};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
for (auto _ : state) {
benchmark::DoNotOptimize(o.data_handle());
benchmark::DoNotOptimize(s.data_handle());
#pragma omp parallel
{
auto chunk_size = s.extent(0) / omp_get_num_threads();
auto chunk_start = chunk_size * omp_get_thread_num();
auto extra = s.extent(0) % chunk_size;
if (omp_get_thread_num() < extra) {
chunk_size += 1;
chunk_start += omp_get_thread_num();
} else {
chunk_start += extra;
}
auto chunk_end = chunk_start + chunk_size;
for (index_type i = chunk_start; i < chunk_end; ++i) {
for (int r = 0; r < global_repeat; r++) {
for (index_type j = 0; j < s.extent(1); j++) {
for (index_type k = 0; k < s.extent(2); k++) {
o(i, j, k) += s(i, j, k);
}
}
}
}
}
benchmark::ClobberMemory();
}
size_t num_elements = (s.extent(0) * s.extent(1) * s.extent(2));
state.SetBytesProcessed( num_elements * 3 * sizeof(value_type) * state.iterations() * global_repeat);
state.counters["repeats"] = global_repeat;
}
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_OpenMP_noloop_TinyMatrixSum, right_, rmdspan, 1000000, 3, 3);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_OpenMP_noloop_TinyMatrixSum, left_, lmdspan, 1000000, 3, 3);
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_OpenMP_TinyMatrixSum(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
using index_type = typename MDSpan::index_type;
auto buffer_size = MDSpan{nullptr, dyn...}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), dyn...};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), dyn...};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
#pragma omp parallel for
for(index_type i = 0; i < s.extent(0); i ++) {
for(int r = 0; r<global_repeat; r++) {
for(index_type j = 0; j < s.extent(1); j ++) {
for(index_type k = 0; k < s.extent(2); k ++) {
o(i,j,k) += s(i,j,k);
}
}
}
}
for (auto _ : state) {
benchmark::DoNotOptimize(o.data_handle());
benchmark::DoNotOptimize(s.data_handle());
#pragma omp parallel for
for(index_type i = 0; i < s.extent(0); i ++) {
for(int r = 0; r<global_repeat; r++) {
for(index_type j = 0; j < s.extent(1); j ++) {
for(index_type k = 0; k < s.extent(2); k ++) {
o(i,j,k) += s(i,j,k);
}
}
}
}
benchmark::ClobberMemory();
}
size_t num_elements = (s.extent(0) * s.extent(1) * s.extent(2));
state.SetBytesProcessed( num_elements * 3 * sizeof(value_type) * state.iterations() * global_repeat);
state.counters["repeats"] = global_repeat;
}
MDSPAN_BENCHMARK_ALL_3D_REAL_TIME(BM_MDSpan_OpenMP_TinyMatrixSum, right_, rmdspan, 1000000, 3, 3);
MDSPAN_BENCHMARK_ALL_3D_REAL_TIME(BM_MDSpan_OpenMP_TinyMatrixSum, left_, lmdspan, 1000000, 3, 3);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Static_OpenMP_TinyMatrixSum_right(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using MDSpan = stdex::mdspan<T, stdex::dextents<index_type, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, x,y,z}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), x,y,z};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
T* s_ptr = s.data_handle();
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), x,y,z};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
T* o_ptr = o.data_handle();
#pragma omp parallel for
for(SizeX i = 0; i < x; i ++) {
for(int r = 0; r<global_repeat; r++) {
for(size_t j = 0; j < 3; j ++) {
for(size_t k = 0; k < 3; k ++) {
o_ptr[k + j*3 + i*3*3] += s_ptr[k + j*3 + i*3*3];
}
}
}
}
for (auto _ : state) {
benchmark::DoNotOptimize(o_ptr);
benchmark::DoNotOptimize(s_ptr);
#pragma omp parallel for
for(size_t i = 0; i < 1000000; i ++) {
for(int r = 0; r<global_repeat; r++) {
for(size_t j = 0; j < 3; j ++) {
for(size_t k = 0; k < 3; k ++) {
o_ptr[k + j*3 + i*3*3] += s_ptr[k + j*3 + i*3*3];
}
}
}
}
benchmark::ClobberMemory();
}
size_t num_inner_elements = x * y * z;
state.SetBytesProcessed( num_inner_elements * 3 * global_repeat * sizeof(value_type) * state.iterations());
state.counters["repeats"] = global_repeat;
}
BENCHMARK_CAPTURE(BM_Raw_Static_OpenMP_TinyMatrixSum_right, size_1000000_3_3, int(), 1000000, 3, 3)->UseRealTime();
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_OpenMP_TinyMatrixSum_right(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using MDSpan = stdex::mdspan<T, stdex::dextents<index_type, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, x,y,z}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), x,y,z};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
T* s_ptr = s.data_handle();
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), x,y,z};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
T* o_ptr = o.data_handle();
#pragma omp parallel for
for(SizeX i = 0; i < x; i ++) {
for(int r = 0; r<global_repeat; r++) {
for(SizeY j = 0; j < y; j ++) {
for(SizeZ k = 0; k < z; k ++) {
o_ptr[k + j*y + i*y*z] += s_ptr[k + j*y + i*y*z];
}
}
}
}
for (auto _ : state) {
benchmark::DoNotOptimize(o_ptr);
benchmark::DoNotOptimize(s_ptr);
#pragma omp parallel for
for(SizeX i = 0; i < x; i ++) {
for(int r = 0; r<global_repeat; r++) {
for(SizeY j = 0; j < y; j ++) {
for(SizeZ k = 0; k < z; k ++) {
o_ptr[k + j*y + i*y*z] += s_ptr[k + j*y + i*y*z];
}
}
}
}
benchmark::ClobberMemory();
}
size_t num_inner_elements = x * y * z;
state.SetBytesProcessed( num_inner_elements * y * global_repeat * sizeof(value_type) * state.iterations());
state.counters["repeats"] = global_repeat;
}
BENCHMARK_CAPTURE(BM_Raw_OpenMP_TinyMatrixSum_right, size_1000000_3_3, int(), 1000000, 3, 3)->UseRealTime();
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Static_OpenMP_TinyMatrixSum_left(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using MDSpan = stdex::mdspan<T, stdex::extents<index_type, stdex::dynamic_extent, 3, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, x}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), x};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
T* s_ptr = s.data_handle();
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), x};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
T* o_ptr = o.data_handle();
#pragma omp parallel for
for(SizeX i = 0; i < x; i ++) {
for(int r = 0; r<global_repeat; r++) {
for(size_t j = 0; j < 3; j ++) {
for(size_t k = 0; k < 3; k ++) {
o_ptr[k*x*3 + j*x + i] += s_ptr[k*x*3 + j*x + i];
}
}
}
}
for (auto _ : state) {
benchmark::DoNotOptimize(o_ptr);
benchmark::DoNotOptimize(s_ptr);
#pragma omp parallel for
for(size_t i = 0; i < 1000000; i ++) {
for(int r = 0; r<global_repeat; r++) {
for(size_t j = 0; j < 3; j ++) {
for(size_t k = 0; k < 3; k ++) {
o_ptr[k*x*3 + j*x + i] += s_ptr[k*x*3 + j*x + i];
}
}
}
}
benchmark::ClobberMemory();
}
size_t num_inner_elements = x * y * z;
state.SetBytesProcessed( num_inner_elements * 3 * global_repeat * sizeof(value_type) * state.iterations());
state.counters["repeats"] = global_repeat;
}
BENCHMARK_CAPTURE(BM_Raw_Static_OpenMP_TinyMatrixSum_left, size_1000000_3_3, int(), 1000000, 3, 3)->UseRealTime();
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_OpenMP_TinyMatrixSum_left(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using MDSpan = stdex::mdspan<T, stdex::extents<index_type, stdex::dynamic_extent, 3, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, x}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), x};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
T* s_ptr = s.data_handle();
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), x};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
T* o_ptr = o.data_handle();
#pragma omp parallel for
for(SizeX i = 0; i < x; i ++) {
for(int r = 0; r<global_repeat; r++) {
for(SizeY j = 0; j < y; j ++) {
for(SizeZ k = 0; k < z; k ++) {
o_ptr[k*x*y + j*x + i] += s_ptr[k*x*y + j*x + i];
}
}
}
}
for (auto _ : state) {
benchmark::DoNotOptimize(o_ptr);
benchmark::DoNotOptimize(s_ptr);
#pragma omp parallel for
for(SizeX i = 0; i < x; i ++) {
for(int r = 0; r<global_repeat; r++) {
for(SizeY j = 0; j < y; j ++) {
for(SizeZ k = 0; k < z; k ++) {
o_ptr[k*x*y + j*x + i] += s_ptr[k*x*y + j*x + i];
}
}
}
}
benchmark::ClobberMemory();
}
size_t num_inner_elements = x * y * z;
state.SetBytesProcessed( num_inner_elements * 3 * global_repeat * sizeof(value_type) * state.iterations());
state.counters["repeats"] = global_repeat;
}
BENCHMARK_CAPTURE(BM_Raw_OpenMP_TinyMatrixSum_left, size_1000000_3_3, int(), 1000000, 3, 3)->UseRealTime();
template <class MDSpan>
typename MDSpan::value_type*** make_3d_ptr_array(MDSpan s) {
static_assert(std::is_same<typename MDSpan::layout_type,std::experimental::layout_right>::value,"Creating MD Ptr only works from mdspan with layout_right");
using value_type = typename MDSpan::value_type;
using index_type = typename MDSpan::index_type;
value_type*** ptr= new value_type**[s.extent(0)];
for(index_type i = 0; i<s.extent(0); i++) {
ptr[i] = new value_type*[s.extent(1)];
for(index_type j = 0; j<s.extent(1); j++)
ptr[i][j]=&s(i,j,0);
}
return ptr;
}
template <class T>
void free_3d_ptr_array(T*** ptr, size_t extent_0) {
for(size_t i=0; i<extent_0; i++)
delete [] ptr[i];
delete [] ptr;
}
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_RawMDPtr_OpenMP_TinyMatrixSum_right(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using MDSpan = stdex::mdspan<T, stdex::extents<index_type, stdex::dynamic_extent, 3, 3>>;
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, x}.mapping().required_span_size();
auto buffer_s = std::make_unique<value_type[]>(buffer_size);
auto s = MDSpan{buffer_s.get(), x};
OpenMP_first_touch_3D(s);
mdspan_benchmark::fill_random(s);
T*** s_ptr = make_3d_ptr_array(s);
auto buffer_o = std::make_unique<value_type[]>(buffer_size);
auto o = MDSpan{buffer_o.get(), x};
OpenMP_first_touch_3D(o);
mdspan_benchmark::fill_random(o);
T*** o_ptr = make_3d_ptr_array(o);
#pragma omp parallel for
for(SizeX i = 0; i < x; i ++) {
for(int r = 0; r<global_repeat; r++) {
for(size_t j = 0; j < 3; j ++) {
for(size_t k = 0; k < 3; k ++) {
o_ptr[i][j][k] += s_ptr[i][j][k];
}
}
}
}
for (auto _ : state) {
benchmark::DoNotOptimize(o_ptr);
benchmark::DoNotOptimize(s_ptr);
#pragma omp parallel for
for(SizeX i = 0; i < x; i ++) {
for(int r = 0; r<global_repeat; r++) {
for(size_t j = 0; j < 3; j ++) {
for(size_t k = 0; k < 3; k ++) {
o_ptr[i][j][k] += s_ptr[i][j][k];
}
}
}
}
benchmark::ClobberMemory();
}
size_t num_inner_elements = x * y * z;
state.SetBytesProcessed( num_inner_elements * 3 * global_repeat * sizeof(value_type) * state.iterations());
state.counters["repeats"] = global_repeat;
free_3d_ptr_array(s_ptr,s.extent(0));
free_3d_ptr_array(o_ptr,o.extent(0));
}
BENCHMARK_CAPTURE(BM_RawMDPtr_OpenMP_TinyMatrixSum_right, size_1000000_3_3, int(), 1000000, 3, 3)->UseRealTime();
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/tiny_matrix_add | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/tiny_matrix_add/openmp/CMakeLists.txt |
mdspan_add_openmp_benchmark(tiny_matrix_add_openmp)
if(OpenMP_CXX_FOUND)
target_include_directories(stencil_3d_openmp PUBLIC
$<BUILD_INTERFACE:${CMAKE_SOURCE_DIR}/benchmarks/tiny_matrix_add>
)
endif()
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum/CMakeLists.txt |
mdspan_add_benchmark(sum_3d_right)
mdspan_add_benchmark(sum_3d_left)
mdspan_add_benchmark(sum_submdspan_right)
if(MDSPAN_ENABLE_CUDA)
add_subdirectory(cuda)
endif()
if(MDSPAN_ENABLE_OPENMP)
add_subdirectory(openmp)
endif()
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum/sum_3d_right.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <memory>
#include <random>
#include "sum_3d_common.hpp"
#include "../fill.hpp"
//================================================================================
using index_type = int;
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<int, Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<int, Es...>, stdex::layout_right>;
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_Sum_3D_right(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto s = MDSpan{buffer.get(), dyn...};
mdspan_benchmark::fill_random(s);
for (auto _ : state) {
benchmark::DoNotOptimize(s);
benchmark::DoNotOptimize(s.data_handle());
value_type sum = 0;
for(index_type i = 0; i < s.extent(0); ++i) {
for (index_type j = 0; j < s.extent(1); ++j) {
for (index_type k = 0; k < s.extent(2); ++k) {
sum += s(i, j, k);
}
}
}
benchmark::DoNotOptimize(sum);
benchmark::ClobberMemory();
}
state.SetBytesProcessed(s.size() * sizeof(value_type) * state.iterations());
}
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_right, right_, rmdspan, 20, 20, 20);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_right, left_, lmdspan, 20, 20, 20);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_right, right_, rmdspan, 200, 200, 200);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_right, left_, lmdspan, 200, 200, 200);
//================================================================================
BENCHMARK_CAPTURE(
BM_Raw_Sum_3D_right, size_20_20_20, int(), size_t(20), size_t(20), size_t(20)
);
BENCHMARK_CAPTURE(
BM_Raw_Sum_3D_right, size_200_200_200, int(), size_t(200), size_t(200), size_t(200)
);
//================================================================================
BENCHMARK_CAPTURE(
BM_Raw_Static_Sum_3D_right, size_20_20_20, int(),
std::integral_constant<size_t, 20>{},
std::integral_constant<size_t, 20>{},
std::integral_constant<size_t, 20>{}
);
BENCHMARK_CAPTURE(
BM_Raw_Static_Sum_3D_right, size_200_200_200, int(),
std::integral_constant<size_t, 200>{},
std::integral_constant<size_t, 200>{},
std::integral_constant<size_t, 200>{}
);
//================================================================================
BENCHMARK_CAPTURE(
BM_Raw_Sum_1D, size_8000, int(), 8000
);
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum/sum_submdspan_right.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <memory>
#include <random>
#include <iostream>
#include "sum_3d_common.hpp"
//================================================================================
using index_type = int;
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, std::experimental::extents<index_type, Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, std::experimental::extents<index_type, Es...>, stdex::layout_right>;
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_Sum_Subspan_3D_right(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto s = MDSpan{buffer.get(), dyn...};
mdspan_benchmark::fill_random(s);
for (auto _ : state) {
benchmark::DoNotOptimize(s);
benchmark::DoNotOptimize(s.data_handle());
value_type sum = 0;
using index_type = typename MDSpan::index_type;
for(index_type i = 0; i < s.extent(0); ++i) {
auto sub_i = stdex::submdspan(s, i, stdex::full_extent, stdex::full_extent);
for (index_type j = 0; j < s.extent(1); ++j) {
auto sub_i_j = stdex::submdspan(sub_i, j, stdex::full_extent);
for (index_type k = 0; k < s.extent(2); ++k) {
sum += sub_i_j(k);
}
}
}
benchmark::DoNotOptimize(sum);
benchmark::DoNotOptimize(s.data_handle());
}
state.SetBytesProcessed(s.size() * sizeof(value_type) * state.iterations());
}
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_Subspan_3D_right, right_, rmdspan, 20, 20, 20);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_Subspan_3D_right, left_, lmdspan, 20, 20, 20);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_Subspan_3D_right, right_, rmdspan, 200, 200, 200);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_Subspan_3D_right, left_, lmdspan, 200, 200, 200);
//================================================================================
BENCHMARK_CAPTURE(
BM_Raw_Sum_3D_right, size_20_20_20, int(), size_t(20), size_t(20), size_t(20)
);
BENCHMARK_CAPTURE(
BM_Raw_Sum_3D_right, size_200_200_200, int(), size_t(200), size_t(200), size_t(200)
);
BENCHMARK_CAPTURE(
BM_Raw_Static_Sum_3D_right, size_20_20_20, int(),
std::integral_constant<size_t, 20>{},
std::integral_constant<size_t, 20>{},
std::integral_constant<size_t, 20>{}
);
BENCHMARK_CAPTURE(
BM_Raw_Static_Sum_3D_right, size_200_200_200, int(),
std::integral_constant<size_t, 200>{},
std::integral_constant<size_t, 200>{},
std::integral_constant<size_t, 200>{}
);
BENCHMARK_CAPTURE(
BM_Raw_Sum_3D_right_iter_left, size_20_20_20, int(), 20, 20, 20
);
BENCHMARK_CAPTURE(
BM_Raw_Sum_3D_right_iter_left, size_200_200_200, int(), 200, 200, 200
);
BENCHMARK_CAPTURE(
BM_Raw_Static_Sum_3D_right_iter_left, size_20_20_20, int(),
std::integral_constant<size_t, 20>{},
std::integral_constant<size_t, 20>{},
std::integral_constant<size_t, 20>{}
);
BENCHMARK_CAPTURE(
BM_Raw_Static_Sum_3D_right_iter_left, size_200_200_200, int(),
std::integral_constant<size_t, 200>{},
std::integral_constant<size_t, 200>{},
std::integral_constant<size_t, 200>{}
);
//================================================================================
namespace _impl {
template <class, class T>
MDSPAN_FORCE_INLINE_FUNCTION
constexpr T&& _repeated_with(T&& v) noexcept { return std::forward<T>(v); }
template <class T, class... Rest>
MDSPAN_FORCE_INLINE_FUNCTION
_MDSPAN_CONSTEXPR_14 void _do_sum_submdspan(
T& sum,
stdex::mdspan<T, std::experimental::extents<index_type>, Rest...> s
)
{
sum += s();
}
template <class T, size_t E, size_t... Es, class... Rest>
MDSPAN_FORCE_INLINE_FUNCTION
_MDSPAN_CONSTEXPR_14 void _do_sum_submdspan(
T& sum,
stdex::mdspan<T, std::experimental::extents<index_type, E, Es...>, Rest...> s
)
{
for(index_type i = 0; i < s.extent(0); ++i) {
_impl::_do_sum_submdspan(sum, stdex::submdspan(
s, i, _repeated_with<decltype(Es)>(stdex::full_extent)...)
);
}
}
} // end namespace _impl
template <class MDSpan, class... DynSizes>
void BM_MDSpan_Sum_Subspan_MD_right(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto s = MDSpan{buffer.get(), dyn...};
mdspan_benchmark::fill_random(s);
for (auto _ : state) {
value_type sum = 0;
_impl::_do_sum_submdspan(sum, s);
benchmark::DoNotOptimize(sum);
benchmark::DoNotOptimize(s.data_handle());
}
state.SetBytesProcessed(s.size() * sizeof(value_type) * state.iterations());
}
BENCHMARK_CAPTURE(
BM_MDSpan_Sum_Subspan_MD_right, fixed_10D_size_1024,
stdex::mdspan<int, stdex::extents<index_type, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2>>{nullptr}
);
BENCHMARK_CAPTURE(
BM_MDSpan_Sum_Subspan_MD_right, dyn_10D_size_1024,
stdex::mdspan<int, stdex::dextents<index_type, 10>>{},
2, 2, 2, 2, 2,
2, 2, 2, 2, 2
);
BENCHMARK_CAPTURE(
BM_MDSpan_Sum_Subspan_MD_right, fixed5_dyn5_10D_alternate_size_1024,
stdex::mdspan<int, stdex::extents<index_type, 2, stdex::dynamic_extent, 2, stdex::dynamic_extent, 2, stdex::dynamic_extent, 2, stdex::dynamic_extent, 2, stdex::dynamic_extent>>{},
2, 2, 2, 2, 2
);
BENCHMARK_CAPTURE(
BM_MDSpan_Sum_Subspan_MD_right, fixed8_dyn2_10D_alternate_size_1024,
stdex::mdspan<int, stdex::extents<index_type, 2, 2, 2, 2, stdex::dynamic_extent, 2, 2, 2, 2, stdex::dynamic_extent>>{},
2, 2
);
BENCHMARK_CAPTURE(
BM_MDSpan_Sum_Subspan_MD_right, fixed_5D_size_1024,
stdex::mdspan<int, stdex::extents<index_type, 4, 4, 4, 4, 4>>{nullptr}
);
BENCHMARK_CAPTURE(
BM_MDSpan_Sum_Subspan_MD_right, dyn_5D_size_1024,
stdex::mdspan<int, stdex::dextents<index_type, 5>>{},
4, 4, 4, 4, 4
);
BENCHMARK_CAPTURE(
BM_Raw_Sum_1D, size_1024, int(), 1024
);
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum/sum_3d_left.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <memory>
#include <random>
#include "sum_3d_common.hpp"
#include "../fill.hpp"
using index_type = int;
//================================================================================
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_right>;
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_Sum_3D_left(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto s = MDSpan{buffer.get(), dyn...};
mdspan_benchmark::fill_random(s);
for (auto _ : state) {
value_type sum = 0;
for (index_type k = 0; k < s.extent(2); ++k) {
for (index_type j = 0; j < s.extent(1); ++j) {
for(index_type i = 0; i < s.extent(0); ++i) {
sum += s(i, j, k);
}
}
}
benchmark::DoNotOptimize(sum);
benchmark::DoNotOptimize(s.data_handle());
}
state.SetBytesProcessed(s.size() * sizeof(value_type) * state.iterations());
}
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_left, left_, lmdspan, 20, 20, 20);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_left, right_, rmdspan, 20, 20, 20);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_left, left_, lmdspan, 200, 200, 200);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_left, right_, rmdspan, 200, 200, 200);
//================================================================================
BENCHMARK_CAPTURE(
BM_Raw_Sum_1D, size_8000, int(), 8000
);
BENCHMARK_CAPTURE(
BM_Raw_Sum_1D, size_8000000, int(), 8000000
);
BENCHMARK_CAPTURE(
BM_Raw_Sum_3D_left, size_20_20_20, int(), 20, 20, 20
);
BENCHMARK_CAPTURE(
BM_Raw_Sum_3D_left, size_200_200_200, int(), 200, 200, 200
);
//================================================================================
BENCHMARK_CAPTURE(
BM_Raw_Static_Sum_3D_left, size_20_20_20, int(),
std::integral_constant<size_t, 20>{},
std::integral_constant<size_t, 20>{},
std::integral_constant<size_t, 20>{}
);
BENCHMARK_CAPTURE(
BM_Raw_Static_Sum_3D_left, size_200_200_200, int(),
std::integral_constant<size_t, 200>{},
std::integral_constant<size_t, 200>{},
std::integral_constant<size_t, 200>{}
);
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum/sum_3d_common.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#ifndef MDSPAN_BENCHMARKS_SUM_SUM_3D_COMMON_HPP
#define MDSPAN_BENCHMARKS_SUM_SUM_3D_COMMON_HPP
#include <benchmark/benchmark.h>
#include "fill.hpp"
namespace stdex = std::experimental;
template <class T, class Size>
void BM_Raw_Sum_1D(benchmark::State& state, T, Size size) {
auto buffer = std::make_unique<T[]>(size);
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<size_t, 1>>{buffer.get(), size};
mdspan_benchmark::fill_random(wrapped);
}
T* data = buffer.get();
for (auto _ : state) {
T sum = 0;
for(Size i = 0; i < size; ++i) {
sum += data[i];
}
benchmark::DoNotOptimize(sum);
benchmark::DoNotOptimize(data);
}
state.SetBytesProcessed(size * sizeof(T) * state.iterations());
}
//==============================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Sum_3D_right(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
benchmark::DoNotOptimize(x);
benchmark::DoNotOptimize(y);
benchmark::DoNotOptimize(z);
auto buffer = std::make_unique<T[]>(x * y * z);
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<size_t, 1>>{buffer.get(), x*y*z};
mdspan_benchmark::fill_random(wrapped);
}
T* data = buffer.get();
for (auto _ : state) {
benchmark::DoNotOptimize(data);
T sum = 0;
for(SizeX i = 0; i < x; ++i) {
for(SizeY j = 0; j < y; ++j) {
for(SizeZ k = 0; k < z; ++k) {
sum += data[k + j*z + i*z*y];
}
}
}
benchmark::DoNotOptimize(sum);
benchmark::ClobberMemory();
}
state.SetBytesProcessed(x * y * z * sizeof(T) * state.iterations());
}
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Sum_3D_left(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
auto buffer = std::make_unique<T[]>(x * y * z);
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<size_t, 1>>{buffer.get(), x*y*z};
mdspan_benchmark::fill_random(wrapped);
}
T* data = buffer.get();
for (auto _ : state) {
benchmark::DoNotOptimize(data);
T sum = 0;
for(SizeZ k = 0; k < z; ++k) {
for(SizeY j = 0; j < y; ++j) {
for(SizeX i = 0; i < x; ++i) {
sum += data[i + j*x + k*x*y];
}
}
}
benchmark::DoNotOptimize(sum);
benchmark::ClobberMemory();
}
state.SetBytesProcessed(x * y * z * sizeof(T) * state.iterations());
}
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Sum_3D_right_iter_left(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
auto buffer = std::make_unique<T[]>(x * y * z);
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<size_t, 1>>{buffer.get(), x*y*z};
mdspan_benchmark::fill_random(wrapped);
}
benchmark::DoNotOptimize(x);
benchmark::DoNotOptimize(y);
benchmark::DoNotOptimize(z);
benchmark::ClobberMemory();
T* data = buffer.get();
for (auto _ : state) {
benchmark::DoNotOptimize(data);
T sum = 0;
for(SizeZ k = 0; k < z; ++k) {
for(SizeY j = 0; j < y; ++j) {
for(SizeX i = 0; i < x; ++i) {
sum += data[k + j*z + i*z*y];
}
}
}
benchmark::DoNotOptimize(sum);
benchmark::ClobberMemory();
}
state.SetBytesProcessed(x * y * z * sizeof(T) * state.iterations());
}
//================================================================================
//================================================================================
template <class T, size_t x, size_t y, size_t z>
void BM_Raw_Static_Sum_3D_right(benchmark::State& state, T,
std::integral_constant<size_t, x>,
std::integral_constant<size_t, y>,
std::integral_constant<size_t, z>
) {
auto buffer = std::make_unique<T[]>(x * y * z);
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<size_t, 1>>{buffer.get(), x*y*z};
mdspan_benchmark::fill_random(wrapped);
}
T* data = buffer.get();
for (auto _ : state) {
benchmark::DoNotOptimize(data);
T sum = 0;
for(size_t i = 0; i < x; ++i) {
for(size_t j = 0; j < y; ++j) {
for(size_t k = 0; k < z; ++k) {
sum += data[k + j*z + i*z*y];
}
}
}
benchmark::DoNotOptimize(sum);
benchmark::ClobberMemory();
}
state.SetBytesProcessed(x * y * z * sizeof(T) * state.iterations());
}
//================================================================================
template <class T, size_t x, size_t y, size_t z>
void BM_Raw_Static_Sum_3D_left(benchmark::State& state, T,
std::integral_constant<size_t, x>,
std::integral_constant<size_t, y>,
std::integral_constant<size_t, z>
) {
auto buffer = std::make_unique<T[]>(x * y * z);
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<size_t, 1>>{buffer.get(), x*y*z};
mdspan_benchmark::fill_random(wrapped);
}
T* data = buffer.get();
for (auto _ : state) {
benchmark::DoNotOptimize(data);
T sum = 0;
for(size_t k = 0; k < z; ++k) {
for(size_t j = 0; j < y; ++j) {
for(size_t i = 0; i < x; ++i) {
sum += data[i + j*x + k*x*y];
}
}
}
benchmark::DoNotOptimize(sum);
benchmark::ClobberMemory();
}
state.SetBytesProcessed(x * y * z * sizeof(T) * state.iterations());
}
//================================================================================
template <class T, size_t x, size_t y, size_t z>
void BM_Raw_Static_Sum_3D_right_iter_left(benchmark::State& state, T,
std::integral_constant<size_t, x>,
std::integral_constant<size_t, y>,
std::integral_constant<size_t, z>
) {
auto buffer = std::make_unique<T[]>(x * y * z);
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<size_t, 1>>{buffer.get(), x*y*z};
mdspan_benchmark::fill_random(wrapped);
}
T* data = buffer.get();
for (auto _ : state) {
benchmark::DoNotOptimize(data);
T sum = 0;
for(size_t k = 0; k < z; ++k) {
for(size_t j = 0; j < y; ++j) {
for(size_t i = 0; i < x; ++i) {
sum += data[k + j*z + i*z*y];
}
}
}
benchmark::DoNotOptimize(sum);
benchmark::ClobberMemory();
}
state.SetBytesProcessed(x * y * z * sizeof(T) * state.iterations());
}
#endif // MDSPAN_BENCHMARKS_SUM_SUM_3D_COMMON_HPP
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum/cuda/sum_3d_cuda.cu | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <memory>
#include <random>
#include <sstream>
#include <stdexcept>
#include "sum_3d_common.hpp"
#include "fill.hpp"
//================================================================================
static constexpr int warpsPerBlock = 4;
//================================================================================
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<Es...>, stdex::layout_right>;
//================================================================================
template <class Tp>
MDSPAN_FORCE_INLINE_FUNCTION inline
void DoNotOptimize(Tp const& value) {
// Can't have m constraints on device
asm volatile("" : : "r"(value) : "memory");
}
template <class Tp>
MDSPAN_FORCE_INLINE_FUNCTION inline
void DoNotOptimize(Tp& value) {
// Can't have m constraints on device
asm volatile("" : "+r"(value) : : "memory");
}
//================================================================================
void throw_runtime_exception(const std::string &msg) {
std::ostringstream o;
o << msg;
throw std::runtime_error(o.str());
}
void cuda_internal_error_throw(cudaError e, const char* name,
const char* file = NULL, const int line = 0) {
std::ostringstream out;
out << name << " error( " << cudaGetErrorName(e)
<< "): " << cudaGetErrorString(e);
if (file) {
out << " " << file << ":" << line;
}
throw_runtime_exception(out.str());
}
inline void cuda_internal_safe_call(cudaError e, const char* name,
const char* file = NULL,
const int line = 0) {
if (cudaSuccess != e) {
cuda_internal_error_throw(e, name, file, line);
}
}
#define CUDA_SAFE_CALL(call) \
cuda_internal_safe_call(call, #call, __FILE__, __LINE__)
//================================================================================
dim3 get_bench_grid() {
cudaDeviceProp cudaProp;
CUDA_SAFE_CALL(cudaGetDeviceProperties(&cudaProp, 0));
return dim3(cudaProp.multiProcessorCount, 1, 1);
}
dim3 get_bench_thread_block() {
cudaDeviceProp cudaProp;
CUDA_SAFE_CALL(cudaGetDeviceProperties(&cudaProp, 1));
return dim3(1, cudaProp.warpSize, warpsPerBlock);
}
template <class F, class... Args>
__global__
void do_run_kernel(F f, Args... args) {
f(args...);
}
template <class F, class... Args>
float run_kernel_timed(F&& f, Args&&... args) {
cudaEvent_t start, stop;
CUDA_SAFE_CALL(cudaEventCreate(&start));
CUDA_SAFE_CALL(cudaEventCreate(&stop));
CUDA_SAFE_CALL(cudaEventRecord(start));
do_run_kernel<<<get_bench_grid(), get_bench_thread_block()>>>(
(F&&)f, ((Args&&) args)...
);
CUDA_SAFE_CALL(cudaEventRecord(stop));
CUDA_SAFE_CALL(cudaEventSynchronize(stop));
float milliseconds = 0;
CUDA_SAFE_CALL(cudaEventElapsedTime(&milliseconds, start, stop));
return milliseconds;
}
template <class MDSpan, class... DynSizes>
MDSpan fill_device_mdspan(MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer_size = MDSpan{nullptr, dyn...}.mapping().required_span_size();
auto host_buffer = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto host_mdspan = MDSpan{host_buffer.get(), dyn...};
mdspan_benchmark::fill_random(host_mdspan);
value_type* device_buffer = nullptr;
CUDA_SAFE_CALL(cudaMalloc(&device_buffer, buffer_size * sizeof(value_type)));
CUDA_SAFE_CALL(cudaMemcpy(
device_buffer, host_buffer.get(), buffer_size * sizeof(value_type), cudaMemcpyHostToDevice
));
return MDSpan{device_buffer, dyn...};
}
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_Cuda_Sum_3D(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto s = fill_device_mdspan(MDSpan{}, dyn...);
int repeats = s.size() > (100*100*100) ? 50 : 1000;
for (auto _ : state) {
auto timed = run_kernel_timed(
[=] __device__ {
for(int r = 0; r < repeats; ++r) {
value_type sum_local = 0;
for(size_t i = blockIdx.x; i < s.extent(0); i += gridDim.x) {
for(size_t j = threadIdx.z; j < s.extent(1); j += blockDim.z) {
for(size_t k = threadIdx.y; k < s.extent(2); k += blockDim.y) {
sum_local += s(i, j, k);
}
}
}
DoNotOptimize(*(volatile value_type*)(&s(0,0,0)) = sum_local);
asm volatile ("": : :"memory");
}
}
);
// units of cuda timer is milliseconds, units of iteration timer is seconds
state.SetIterationTime(timed * 1e-3);
}
state.SetBytesProcessed(s.size() * sizeof(value_type) * state.iterations() * repeats);
state.counters["repeats"] = repeats;
CUDA_SAFE_CALL(cudaDeviceSynchronize());
CUDA_SAFE_CALL(cudaFree(s.data()));
}
MDSPAN_BENCHMARK_ALL_3D_MANUAL(BM_MDSpan_Cuda_Sum_3D, right_, rmdspan, 80, 80, 80);
MDSPAN_BENCHMARK_ALL_3D_MANUAL(BM_MDSpan_Cuda_Sum_3D, left_, lmdspan, 80, 80, 80);
MDSPAN_BENCHMARK_ALL_3D_MANUAL(BM_MDSpan_Cuda_Sum_3D, right_, rmdspan, 400, 400, 400);
MDSPAN_BENCHMARK_ALL_3D_MANUAL(BM_MDSpan_Cuda_Sum_3D, left_, lmdspan, 400, 400, 400);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Cuda_Sum_3D_right(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using value_type = T;
value_type* data = nullptr;
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<1>>{};
auto s = fill_device_mdspan(wrapped, x*y*z);
data = s.data();
}
int repeats = x*y*z > (100*100*100) ? 50 : 1000;
for (auto _ : state) {
auto timed = run_kernel_timed(
[=] __device__ {
for(int r = 0; r < repeats; ++r) {
value_type sum_local = 0;
for(size_t i = blockIdx.x; i < x; i += gridDim.x) {
for(size_t j = threadIdx.z; j < y; j += blockDim.z) {
for(size_t k = threadIdx.y; k < z; k += blockDim.y) {
sum_local += data[k + j*z + i*z*y];
}
}
}
DoNotOptimize(*(volatile value_type*)(&data[0]) = sum_local);
asm volatile ("": : :"memory");
}
}
);
// units of cuda timer is milliseconds, units of iteration timer is seconds
state.SetIterationTime(timed * 1e-3);
}
state.SetBytesProcessed(x * y * z * sizeof(value_type) * state.iterations() * repeats);
state.counters["repeats"] = repeats;
CUDA_SAFE_CALL(cudaDeviceSynchronize());
CUDA_SAFE_CALL(cudaFree(data));
}
BENCHMARK_CAPTURE(BM_Raw_Cuda_Sum_3D_right, size_80_80_80, int(), 80, 80, 80);
BENCHMARK_CAPTURE(BM_Raw_Cuda_Sum_3D_right, size_400_400_400, int(), 400, 400, 400);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Cuda_Sum_3D_left(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
using value_type = T;
value_type* data = nullptr;
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<1>>{};
auto s = fill_device_mdspan(wrapped, x*y*z);
data = s.data();
}
int repeats = x*y*z > (100*100*100) ? 50 : 1000;
for (auto _ : state) {
auto timed = run_kernel_timed(
[=] __device__ {
for(int r = 0; r < repeats; ++r) {
value_type sum_local = 0;
for(size_t i = blockIdx.x; i < x; i += gridDim.x) {
for(size_t j = threadIdx.z; j < y; j += blockDim.z) {
for(size_t k = threadIdx.y; k < z; k += blockDim.y) {
sum_local += data[k*x*y + j*x + i];
}
}
}
DoNotOptimize(*(volatile value_type*)(&data[0]) = sum_local);
asm volatile ("": : :"memory");
}
}
);
// units of cuda timer is milliseconds, units of iteration timer is seconds
state.SetIterationTime(timed * 1e-3);
}
state.SetBytesProcessed(x * y * z * sizeof(value_type) * state.iterations() * repeats);
state.counters["repeats"] = repeats;
CUDA_SAFE_CALL(cudaDeviceSynchronize());
CUDA_SAFE_CALL(cudaFree(data));
}
BENCHMARK_CAPTURE(BM_Raw_Cuda_Sum_3D_left, size_80_80_80, int(), 80, 80, 80);
BENCHMARK_CAPTURE(BM_Raw_Cuda_Sum_3D_left, size_400_400_400, int(), 400, 400, 400);
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum/cuda/CMakeLists.txt |
mdspan_add_cuda_benchmark(sum_3d_cuda)
target_include_directories(sum_3d_cuda PUBLIC
$<BUILD_INTERFACE:${CMAKE_SOURCE_DIR}/benchmarks/sum>
) | 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum/openmp/CMakeLists.txt |
mdspan_add_openmp_benchmark(sum_3d_openmp)
if(OpenMP_CXX_FOUND)
target_include_directories(sum_3d_openmp PUBLIC
$<BUILD_INTERFACE:${CMAKE_SOURCE_DIR}/benchmarks/sum>
)
endif() | 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/benchmarks/sum/openmp/sum_3d_openmp.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include "sum_3d_common.hpp"
#include "fill.hpp"
#include <memory>
#include <random>
#include <omp.h>
//================================================================================
using index_type = int;
template <class T, size_t... Es>
using lmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_left>;
template <class T, size_t... Es>
using rmdspan = stdex::mdspan<T, stdex::extents<index_type, Es...>, stdex::layout_right>;
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_Sum_3D_OpenMP(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto s = MDSpan{buffer.get(), dyn...};
int repeats = s.size() > (100*100*100) ? 50 : 1000;
mdspan_benchmark::fill_random(s);
for (auto _ : state) {
#pragma omp parallel default(none) shared(repeats, s)
{
for (int r = 0; r < repeats; ++r) {
value_type sum = 0;
for (index_type i = omp_get_thread_num(); i < s.extent(0); i += omp_get_num_threads()) {
for (index_type j = 0; j < s.extent(1); ++j) {
for (index_type k = 0; k < s.extent(2); ++k) {
sum += s(i, j, k);
}
}
}
benchmark::DoNotOptimize(sum);
benchmark::DoNotOptimize(s.data_handle());
}
}
}
state.SetBytesProcessed(s.size() * sizeof(value_type) * state.iterations() * repeats);
state.counters["repeats"] = repeats;
}
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_OpenMP, left_, lmdspan, 20, 20, 20);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_OpenMP, right_, rmdspan, 20, 20, 20);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_OpenMP, left_, lmdspan, 200, 200, 200);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_OpenMP, right_, rmdspan, 200, 200, 200);
//================================================================================
template <class MDSpan, class... DynSizes>
void BM_MDSpan_Sum_3D_loop_OpenMP(benchmark::State& state, MDSpan, DynSizes... dyn) {
using value_type = typename MDSpan::value_type;
auto buffer = std::make_unique<value_type[]>(
MDSpan{nullptr, dyn...}.mapping().required_span_size()
);
auto s = MDSpan{buffer.get(), dyn...};
mdspan_benchmark::fill_random(s);
auto sums_buffer = std::make_unique<value_type[]>(omp_get_max_threads());
auto* sum = sums_buffer.get();
for (auto _ : state) {
benchmark::DoNotOptimize(sums_buffer.get());
benchmark::DoNotOptimize(s.data_handle());
#pragma omp parallel for default(none) shared(s, sum)
for (index_type i = 0; i < s.extent(0); ++i) {
for (index_type j = 0; j < s.extent(1); ++j) {
for (index_type k = 0; k < s.extent(2); ++k) {
sum[omp_get_thread_num()] += s(i, j, k);
}
}
}
benchmark::ClobberMemory();
}
state.SetBytesProcessed(s.size() * sizeof(value_type) * state.iterations());
}
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_loop_OpenMP, right_, rmdspan, 200, 200, 200);
MDSPAN_BENCHMARK_ALL_3D(BM_MDSpan_Sum_3D_loop_OpenMP, left_, lmdspan, 200, 200, 200);
//================================================================================
template <class T, class SizeX, class SizeY, class SizeZ>
void BM_Raw_Sum_3D_OpenMP(benchmark::State& state, T, SizeX x, SizeY y, SizeZ z) {
auto buffer = std::make_unique<T[]>(x * y * z);
{
// just for setup...
auto wrapped = stdex::mdspan<T, stdex::dextents<index_type, 1>>{buffer.get(), x*y*z};
mdspan_benchmark::fill_random(wrapped);
}
int repeats = x*y*z > (100*100*100) ? 50 : 1000;
T* data = buffer.get();
for (auto _ : state) {
#pragma omp parallel default(none) shared(data,x,y,z,repeats)
{
for (int r = 0; r < repeats; ++r) {
T sum = 0;
benchmark::DoNotOptimize(sum);
benchmark::DoNotOptimize(data);
for (index_type i = omp_get_thread_num(); i < x; i += omp_get_num_threads()) {
for (index_type j = 0; j < y; ++j) {
for (index_type k = 0; k < z; ++k) {
sum += data[k + j*z + i*z*y];
}
}
}
benchmark::ClobberMemory();
}
}
}
state.SetBytesProcessed(x * y * z * sizeof(T) * state.iterations() * repeats);
state.counters["repeats"] = repeats;
}
BENCHMARK_CAPTURE(
BM_Raw_Sum_3D_OpenMP, size_20_20_20, int(), 20, 20, 20
);
BENCHMARK_CAPTURE(
BM_Raw_Sum_3D_OpenMP, size_200_200_200, int(), 200, 200, 200
);
//================================================================================
BENCHMARK_MAIN();
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/cmake/mdspanConfig.cmake.in | @PACKAGE_INIT@
include("${CMAKE_CURRENT_LIST_DIR}/mdspanTargets.cmake")
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/cmake/metabench.cmake | # Copyright Louis Dionne 2017
# Copyright Bruno Dutra 2016
#
# Distributed under the Boost Software License, Version 1.0.
# See https://github.com/ldionne/metabench/blob/master/LICENSE.md.
#
# This file is part of Metabench, a simple framework for compile-time
# benchmarks. For documentation, questions and other resources please
# visit the home of the project at https://github.com/ldionne/metabench.
cmake_minimum_required(VERSION 3.12...3.19)
find_package(Ruby 2.1 QUIET)
if(NOT RUBY_EXECUTABLE)
message(WARNING "Ruby >= 2.1 was not found; the metabench.cmake module can't be used.")
return()
endif()
# The directory where all files related to Metabench support are written, to
# avoid polluting the build tree.
set(METABENCH_DIR "${CMAKE_CURRENT_BINARY_DIR}/_metabench")
# metabench_add_dataset(target path_to_template range
# [NAME name]
# [ENV env]
# [COLOR color]
# [MEDIAN_OF n]
# [OUTPUT path/to/file])
#
# Registers a dataset with Metabench. When needed, the dataset will be
# generated by rendering the ERB template at `path_to_template` for each
# value of n in the `range`. Then, the resulting C++ file will be compiled
# and benchmarking data will be recorded. The `target` target represents
# the executable being built for each value of `n`; any property set on
# that target will take effect when collecting the dataset.
#
# Note that building the `target` target itself is not supported. To
# trigger the generation of the dataset, one must either add the dataset
# to a chart using `metabench_add_chart`, or create a custom CMake target
# that depends on the JSON file itself. When that target is built, the
# dataset will be generated if and only if it is outdated.
#
# Additionally, a CTest target with the same name is also created. When run,
# this CTest target will run the benchmark for only the first and last
# elements in `range`, and won't gather any benchmarking data. This is very
# useful to make sure that benchmarks stay sane as part of continuous
# integration scripts, for example.
#
# What is measured?
# -----------------
# When generating a dataset, Metabench records information related to
# several different aspects of the executable. All the different aspects
# are always stored in the dataset, and the aspect being displayed on a
# chart can be controlled with the `ASPECT` option of `metabench_add_chart`.
# Currently, Metabench measures the following aspects:
# - Compilation time in seconds. This is the time required to generate
# the object file from the `.cpp` file. This includes preprocessing,
# but does not include linking time. Compilation time is treated in
# a slightly special way; the program is first built with the
# `METABENCH` macro undefined, and then with the macro defined.
# The compilation time is then taken to be the difference of the
# measurement with the macro defined and without the macro defined.
# - Link time in seconds. This is the time required to generate the
# executable from the object file. This does not include the
# compilation time.
# - Executable size in KB. This is the size of the executable created
# from the `.cpp` file.
# - Peak memory usage of the compiler in KB. This is the approximate peak
# size of the RSS (Resident Set Size) used by the compiler (not the
# linker) when compiling the `.cpp` file.
#
# Parameters
# ----------
# target:
# The name of the target associated to this dataset.
#
# path_to_template:
# The path of the ERB template to use for this dataset. This may be
# either an absolute path or a path relative to the current source
# directory.
#
# range:
# A sequence of integers representing the values of `n` for which the
# template will be rendered and measurements will be taken. The sequence
# must be provided as a Ruby Iterable (such as `(1...100).step(5)`).
#
# [NAME name]:
# A name used to identify the dataset. For example, this is used as the
# name of the curve associated to the dataset inside a chart. Defaults
# to `target`.
#
# [ENV env]:
# An arbitrary Ruby Hash that will be made available to the ERB template
# in the `env` variable. For example, if you pass `ENV "{foo: 1, bar: 2}"`,
# `env[:foo]` will be equal to `1` and `env[:bar]` will be equal to `2`
# inside the ERB template. This argument can be used to parameterize the
# dataset in more complex ways.
#
# [COLOR color]:
# A string specifying the color used to display the dataset on the chart
# in any valid CSS format.
#
# [SCALE factor]:
# A constant multiplicative factor that may be used to scale results.
# Defaults to `1.0`.
#
# [MEDIAN_OF n]:
# The number of times to build and run the ERB template when gathering
# timing information. The timings are taken `n` times, and the median of
# these `n` values is retained. This can help reduce variability at the
# cost of longer benchmarking times. By default, the timings are taken
# only once. `n` must be a positive (non-zero) integer.
#
# [OUTPUT path/to/file]:
# The path of the resulting JSON file containing the benchmark data. If
# a relative path is used, the path will be considered as being relative
# to the current CMake binary directory. This defaults to `target.json`,
# so that the output file will be `target.json` in the current CMake
# binary directory.
function(metabench_add_dataset target path_to_template range)
set(options)
set(one_value_args NAME ENV COLOR SCALE MEDIAN_OF OUTPUT)
set(multi_value_args)
cmake_parse_arguments(ARGS "${options}" "${one_value_args}" "${multi_value_args}" ${ARGN})
if(NOT IS_ABSOLUTE "${path_to_template}")
set(path_to_template "${CMAKE_CURRENT_SOURCE_DIR}/${path_to_template}")
endif()
if(NOT EXISTS ${path_to_template})
message(FATAL_ERROR "The file specified to metabench_add_dataset (${path_to_template}) does not exist.")
endif()
if(NOT ARGS_NAME)
set(ARGS_NAME ${target})
endif()
if(NOT ARGS_ENV)
set(ARGS_ENV "{}")
endif()
if(NOT ARGS_COLOR)
set(ARGS_COLOR "")
endif()
if(NOT ARGS_SCALE)
set(ARGS_SCALE 1.0)
endif()
if(NOT ARGS_MEDIAN_OF)
set(ARGS_MEDIAN_OF 1)
endif()
if(NOT ARGS_OUTPUT)
set(ARGS_OUTPUT "${target}.json")
endif()
if(NOT IS_ABSOLUTE "${ARGS_OUTPUT}")
set(ARGS_OUTPUT "${CMAKE_CURRENT_BINARY_DIR}/${ARGS_OUTPUT}")
endif()
# Add a dummy executable that will be used to collect the dataset.
# We'll build this executable multiple times for different values
# of `n`, and collect compilation statistics each time. Compiling
# through CMake allows us to be portable without additional work.
#
# Also, metabench_add_chart needs to be able to find the JSON file
# containing the benchmark data from the name of the executable target,
# so we store it in a custom property.
file(WRITE "${METABENCH_DIR}/${target}.cpp" "")
add_executable(${target} EXCLUDE_FROM_ALL "${METABENCH_DIR}/${target}.cpp")
set_target_properties(${target} PROPERTIES
RULE_LAUNCH_COMPILE "${RUBY_EXECUTABLE} -- \"${COMPILE_RB_PATH}\""
RULE_LAUNCH_LINK "${RUBY_EXECUTABLE} -- \"${LINK_RB_PATH}\""
RUNTIME_OUTPUT_DIRECTORY "${METABENCH_DIR}"
METABENCH_DATASET_PATH "${ARGS_OUTPUT}"
)
get_filename_component(template_dir "${path_to_template}" DIRECTORY)
target_include_directories(${target} PUBLIC "${template_dir}")
# Add a command to generate the JSON file that will contain the measurements
# we collect for this dataset when we build the executable above.
add_custom_command(OUTPUT "${ARGS_OUTPUT}"
COMMAND "${RUBY_EXECUTABLE}" -r json -r fileutils -r "${METABENCH_RB_PATH}"
-e "range = (${range}).to_a"
-e "env = (${ARGS_ENV})"
-e "data = {}"
-e "data['key'] = '${ARGS_NAME}'"
-e "data['scale'] = (${ARGS_SCALE})"
-e "data['color'] = '${ARGS_COLOR}'"
-e "data['values'] = measure('${target}', '${path_to_template}', range, env, ${ARGS_MEDIAN_OF})"
-e "FileUtils.mkdir_p(File.dirname('${ARGS_OUTPUT}'))"
-e "IO.write('${ARGS_OUTPUT}', JSON.generate(data))"
DEPENDS "${path_to_template}"
WORKING_DIRECTORY "${CMAKE_SOURCE_DIR}"
VERBATIM USES_TERMINAL
)
# We also setup a CTest target to test the generation of the dataset.
# We do not actually collect any data here.
add_test(NAME ${target}
COMMAND "${RUBY_EXECUTABLE}" -r "${METABENCH_RB_PATH}"
-e "range = (${range}).to_a"
-e "range = [range[0], range[-1]] if range.length >= 2"
-e "env = (${ARGS_ENV})"
-e "data = measure('${target}', '${path_to_template}', range, env, 1)"
WORKING_DIRECTORY "${CMAKE_SOURCE_DIR}"
)
endfunction()
# metabench_add_chart(target [ALL]
# [ASPECT COMPILATION_TIME|LINK_TIME|EXECUTABLE_SIZE|PEAK_MEMORY]
# [TITLE title]
# [SUBTITLE subtitle]
# [XLABEL label] [YLABEL label]
# DATASETS dataset1 [dataset2 [dataset3 [...]]]
# [OUTPUT path/to/file])
#
# Creates a target which generates a chart displaying compile-time benchmarks.
# After issuing this command, running the target named `target` will cause
# each `dataset` to be generated and a HTML chart to be generated from those
# datasets. Several aspects of the compilation can be displayed, such as
# compilation time and executable size. The aspect being plotted on the
# generated chart can be controlled via the `ASPECT` argument.
#
# Parameters
# ----------
# target:
# The name of the target associated to this chart.
#
# [ALL]:
# If `ALL` is provided, the target will be added to the default target.
# This is the same behaviour as `add_custom_target` used with the `ALL`
# keyword.
#
# [ASPECT COMPILATION_TIME|LINK_TIME|EXECUTABLE_SIZE|PEAK_MEMORY]:
# The aspect of the datasets to display on the chart. When this argument
# is provided, the chart will adopt reasonable default values for the
# axis labels and other similar settings. However, any setting set
# explicitly using arguments like `TITLE` or `XLABEL` will have priority
# over anything defaulted by the choice of an `ASPECT`. When no aspect
# is provided, it defaults to `COMPILATION_TIME`.
#
# [TITLE title]:
# A title to use for the generated chart. If this is not provided, the
# chart has no title.
#
# [SUBTITLE subtitle]:
# A subtitle to use for the generated chart. The subtitle will appear
# just below the title, in a smaller font. If this is not provided, the
# chart has no subtitle.
#
# [XLABEL label]:
# The label to use for the X axis.
#
# [YLABEL label]:
# The label to use for the Y axis.
#
# DATASETS dataset1 [dataset2 [dataset3 [...]]]:
# A list of datasets from which the benchmark is generated.
#
# [OUTPUT path/to/file]:
# The path of the resulting HTML file containing the chart. If a
# relative path is used, the path will be considered as being relative
# to the current CMake binary directory. This defaults to `target.html`,
# so that the output file will be `target.html` in the current CMake
# binary directory.
function(metabench_add_chart target)
set(options ALL)
set(one_value_args OUTPUT ASPECT TITLE SUBTITLE XLABEL YLABEL)
set(multi_value_args DATASETS)
cmake_parse_arguments(ARGS "${options}" "${one_value_args}" "${multi_value_args}" ${ARGN})
if(NOT ARGS_ASPECT)
set(ARGS_ASPECT "COMPILATION_TIME")
endif()
if(NOT ARGS_DATASETS)
message(FATAL_ERROR "metabench_add_chart requires at least one dataset.")
endif()
if(NOT ARGS_OUTPUT)
set(ARGS_OUTPUT "${target}.html")
endif()
if(NOT IS_ABSOLUTE "${ARGS_OUTPUT}")
set(ARGS_OUTPUT "${CMAKE_CURRENT_BINARY_DIR}/${ARGS_OUTPUT}")
endif()
set(data)
foreach(dataset ${ARGS_DATASETS})
get_target_property(json_file ${dataset} METABENCH_DATASET_PATH)
list(APPEND data "${json_file}")
endforeach()
add_custom_command(
OUTPUT "${ARGS_OUTPUT}"
COMMAND "${RUBY_EXECUTABLE}" -r erb -r json -r fileutils
-e "options = {}"
-e "options['TITLE'] = '${ARGS_TITLE}'"
-e "options['SUBTITLE'] = '${ARGS_SUBTITLE}'"
-e "options['XLABEL'] = '${ARGS_XLABEL}'"
-e "options['YLABEL'] = '${ARGS_YLABEL}'"
-e "aspect = '${ARGS_ASPECT}'"
-e "data = '${data}'.split(';').map { |datum| JSON.parse(IO.read(datum)) }"
-e "html = ERB.new(File.read('${CHART_HTML_ERB_PATH}')).result(binding)"
-e "FileUtils.mkdir_p(File.dirname('${ARGS_OUTPUT}'))"
-e "IO.write('${ARGS_OUTPUT}', html)"
DEPENDS ${data} "${ARGS_CHART}"
VERBATIM
)
if(${ARGS_ALL})
add_custom_target(${target} ALL DEPENDS "${ARGS_OUTPUT}")
else()
add_custom_target(${target} DEPENDS "${ARGS_OUTPUT}")
endif()
endfunction()
################################################################################
# Below this line are scripts and other files that are required by one part or
# another of Metabench. They are hardcoded here so that users only have to
# copy the `metabench.cmake` module to their project, without having to worry
# about dependencies and other implementation details.
################################################################################
################################################################################
# metabench.rb
#
# This script is used to drive CMake when gathering the measurements for a
# single dataset. If takes a `.cpp.erb` file, renders it with different values
# of `n` and then builds the associated executable for each value of `n`.
################################################################################
set(METABENCH_RB_PATH "${METABENCH_DIR}/metabench.rb")
file(WRITE "${METABENCH_RB_PATH}"
"require 'benchmark' \n"
"require 'erb' \n"
"require 'fileutils' \n"
"require 'open3' \n"
"require 'pathname' \n"
"require 'time' \n"
" \n"
" \n"
"def report_error(command_line, stdout, stderr, code) \n"
" raise [%{\\ncommand line: #{command_line}}, \n"
" %{stdout\\n#{'-'*80}\\n#{stdout}}, \n"
" %{stderr\\n#{'-'*80}\\n#{stderr}}, \n"
" %{code\\n#{'-'*80}\\n#{code}}].join(%{\\n\\n}) \n"
"end \n"
" \n"
"# Build the specified CMake target and return the measurements that were taken. \n"
"# The exact format of a measurement returned by this function is explained \n"
"# in the JavaScript code that loads it, in the chart template file below. \n"
"def build(target) \n"
" command = ['${CMAKE_COMMAND}', '--build', '${CMAKE_BINARY_DIR}', '--target', target] \n"
" exe_file = %{${METABENCH_DIR}/#{target}${CMAKE_EXECUTABLE_SUFFIX}} \n"
" cpp_file = %{${METABENCH_DIR}/#{target}.cpp} \n"
" \n"
" # We change the timestamp of the source file and remove the executable \n"
" # to make sure CMake considers the target as outdated; otherwise, we \n"
" # might skip the compilation and/or link steps. This is because CMake's \n"
" # timestamps are not precise enough. \n"
" FileUtils.touch(cpp_file, mtime: Time.now+1) \n"
" File.delete(exe_file) if File.exist?(exe_file) \n"
" \n"
" stdout, stderr, status = Open3.capture3(*command) \n"
" compile_cli = stdout.match(/\\[compilation command: (.+)\\]/i) \n"
" compile_cli = compile_cli ? compile_cli.captures[0] : '(unavailable)' \n"
" link_cli = stdout.match(/\\[link command: (.+)\\]/i) \n"
" link_cli = link_cli ? link_cli.captures[0] : '(unavailable)' \n"
" \n"
" if not status.success? \n"
" cli = %{compile: #{compile_cli}\\nlink: #{link_cli}} \n"
" report_error(cli, stdout, stderr, IO.read(cpp_file)) \n"
" end \n"
" \n"
" result = {} \n"
" \n"
" # Compilation and link times in seconds. They are output to stdout because \n"
" # we use the `compile.rb` and `link.rb` scripts below to launch the compiler \n"
" # and linker with CMake. \n"
" result['COMPILATION_TIME'] = stdout.match(/\\[COMPILATION_TIME: (.+)\\]/i).captures[0].to_f \n"
" result['LINK_TIME'] = stdout.match(/\\[LINK_TIME: (.+)\\]/i).captures[0].to_f \n"
" \n"
" # Peak memory usage \n"
" result['PEAK_MEMORY'] = stdout.match(/\\[PEAK_MEMORY: (.+)\\]/i).captures[0].to_f \n"
" \n"
" # Size of the generated executable in KB \n"
" result['EXECUTABLE_SIZE'] = File.size(exe_file).to_f / 1000 \n"
" \n"
" return result \n"
"end \n"
" \n"
"# Render the ERB template and return the generated code. \n"
"def render(erb_template, n, env) \n"
" begin \n"
" ERB.new(File.read(erb_template)).result(binding) \n"
" rescue Exception => e \n"
" $stderr.puts(%{\\nError while generating a C++ file from the ERB template #{erb_template}:\\n}) \n"
" raise e \n"
" end \n"
"end \n"
" \n"
"# Formats the progress bar that we print while we run the benchmark \n"
"def progress_bar(range, index, start_time, filename) \n"
" n = range[index] \n"
" percentage = (index+1) * 100 / range.size \n"
" relative = filename.relative_path_from(Pathname.getwd) \n"
" elapsed = Time.now - start_time \n"
" return %{==> #{percentage}% (#{elapsed.round(2)}s) #{relative} (n = #{n})} \n"
"end \n"
" \n"
"# Returns an array of measurements representing the compilation of an ERB \n"
"# template for the values of `n` in the specified `range`. \n"
"def measure(target, erb_template, range, env, repetitions) \n"
" erb_template = Pathname.new(erb_template) \n"
" cpp_file = %{${METABENCH_DIR}/#{target}.cpp} \n"
" data = [] \n"
" range = range.to_a \n"
" start = Time.now \n"
" $stderr.write(progress_bar(range, 0, start, erb_template)) # Setup the initial progress bar \n"
" range.each_with_index do |n, index| \n"
" compile = -> (code) { \n"
" IO.write(cpp_file, code) \n"
" return repetitions.times.map { build(target) } \n"
" } \n"
" code = render(erb_template, n, env) \n"
" compile[code] if index == 0 # Fill the cache on the first iteration \n"
" base = compile[code] \n"
" total = compile[%{#define METABENCH\\n} + code] \n"
" data << {'n' => n, 'base' => base, 'total' => total} \n"
" $stderr.write(%{\\r} + progress_bar(range, index, start, erb_template)) # Update the progress bar \n"
" end \n"
" return data \n"
"ensure \n"
" $stderr.puts # Otherwise the output of the next CMake command appears on the same line \n"
" IO.write(cpp_file, '') \n"
"end \n"
)
################################################################################
# end metabench.rb
################################################################################
################################################################################
# memusg.rb
#
# This script runs the command line given to it as an argument and monitors
# the peak memory usage in KB. It then prints that to standard output.
################################################################################
set(MEMUSG_RB_PATH "${METABENCH_DIR}/memusg.rb")
file(WRITE "${MEMUSG_RB_PATH}"
"module OS \n"
" def OS.windows? \n"
" (/cygwin|mswin|mingw|bccwin|wince|emx/ =~ RUBY_PLATFORM) != nil \n"
" end \n"
" def OS.mac? \n"
" (/darwin/ =~ RUBY_PLATFORM) != nil \n"
" end \n"
" def OS.unix? \n"
" !OS.windows? \n"
" end \n"
" def OS.linux? \n"
" OS.unix? and not OS.mac? \n"
" end \n"
"end \n"
" \n"
"if OS.mac? \n"
" def memusg(pgid) \n"
" `/bin/ps -o rss= -g #{pgid}`.to_i \n"
" end \n"
"elsif OS.linux? \n"
" def memusg(pgid) \n"
" `/bin/ps -o rss= -#{pgid}`.to_i \n"
" end \n"
"else \n"
" throw %{Unsupported platform #{RUBY_PLATFORM}} \n"
"end \n"
" \n"
"pid = Process.spawn(*ARGV) \n"
"Process.detach(pid) # Make sure the child process does not become a zombie \n"
"peak = 0 \n"
"# Loop until getpgid throws ESRCH, which means the process is not alive anymore \n"
"begin \n"
" while true \n"
" pgid = Process.getpgid(pid) \n"
" peak = [peak, memusg(pgid)].max \n"
" sleep 0.01 \n"
" end \n"
"rescue Errno::ESRCH \n"
"end \n"
" \n"
"puts %{[PEAK_MEMORY: #{peak}]} \n"
)
################################################################################
# end memusg.rb
################################################################################
################################################################################
# compile.rb
#
# This script is used to launch the compiler whilst measuring compilation time
# and other aspects.
################################################################################
set(COMPILE_RB_PATH "${METABENCH_DIR}/compile.rb")
file(WRITE "${COMPILE_RB_PATH}"
"require 'benchmark' \n"
"require 'open3' \n"
"stdout = stderr = status = nil \n"
"command_line = ['${RUBY_EXECUTABLE}', '--', '${MEMUSG_RB_PATH}'] + ARGV \n"
"time = Benchmark.measure { \n"
" stdout, stderr, status = Open3.capture3(*command_line) \n"
"}.total \n"
"$stdout.puts(stdout) \n"
"$stdout.puts(%{[compilation command: #{command_line.join(' ')}]}) \n"
"$stdout.puts(%{[COMPILATION_TIME: #{time}]}) \n"
"$stderr.puts(stderr) \n"
"exit(status.success?) \n"
)
################################################################################
# end compile.rb
################################################################################
################################################################################
# link.rb
#
# This script is used to launch the link and measure the link time.
################################################################################
set(LINK_RB_PATH "${METABENCH_DIR}/link.rb")
file(WRITE "${LINK_RB_PATH}"
"require 'benchmark' \n"
"require 'open3' \n"
"stdout = stderr = status = nil \n"
"time = Benchmark.measure { stdout, stderr, status = Open3.capture3(*ARGV) }.total\n"
"$stdout.puts(stdout) \n"
"$stdout.puts(%{[link command: #{ARGV.join(' ')}]}) \n"
"$stdout.puts(%{[LINK_TIME: #{time}]}) \n"
"$stderr.puts(stderr) \n"
"exit(status.success?) \n"
)
################################################################################
# end link.rb
################################################################################
################################################################################
# chart.html.erb
#
# The following is a ERB template for the HTML files used to visualize the
# benchmarks. The template is completed by filling it with the contents
# of the corresponding JSON file and the required JS libraries.
################################################################################
set(CHART_HTML_ERB_PATH "${METABENCH_DIR}/chart.html.erb")
file(WRITE "${CHART_HTML_ERB_PATH}"
"<!DOCTYPE html> \n"
"<html> \n"
" <head> \n"
" <meta charset='utf-8'> \n"
" <style><%= IO.read('${METABENCH_DIR}/nvd3.css') %></style> \n"
" <style> \n"
" * { \n"
" box-sizing: border-box; \n"
" } \n"
" html, body { \n"
" position: relative; \n"
" height: 100%; \n"
" width: 100%; \n"
" border: 0; \n"
" margin: 0; \n"
" padding: 0; \n"
" font-size: 0; \n"
" } \n"
" svg g { \n"
" clip-path: none; \n"
" } \n"
" svg text { \n"
" fill: #333; \n"
" } \n"
" .nv-axislabel { \n"
" font-size: 16px !important; \n"
" } \n"
" .control { \n"
" cursor: pointer; \n"
" visibility: hidden; \n"
" pointer-events: visible; \n"
" } \n"
" @media (min-width: 768px) { \n"
" .control { \n"
" visibility: visible; \n"
" } \n"
" } \n"
" </style> \n"
" <script><%= IO.read('${METABENCH_DIR}/d3.js') %></script> \n"
" <script><%= IO.read('${METABENCH_DIR}/nvd3.js') %></script> \n"
" </head> \n"
" <body> \n"
" <svg id='chart'></svg> \n"
" <script type='text/javascript'> \n"
" // Simple helper to compute the median of a sequence of values \n"
" var median = function(values) { \n"
" values.sort(function(a, b) { return a - b; }); \n"
" var half = Math.floor(values.length / 2); \n"
" if (values.length % 2) \n"
" return values[half]; \n"
" else \n"
" return (values[half - 1] + values[half]) / 2.0; \n"
" }; \n"
" \n"
" var customSettings = <%= options.to_json %>; \n"
" var aspect = '<%= aspect %>'; \n"
" // 'data' is an array of datasets (i.e. curves), each of which is an object of the form \n"
" // { \n"
" // key: <name of the curve>, \n"
" // color: <COLOR argument for that dataset (optional, may be the empty string)>, \n"
" // scale: <SCALE argument for that dataset>, \n"
" // values: [{ \n"
" // n: <value of n for that run>, \n"
" // base: [{ // an array of samples for the same 'n' \n"
" // COMPILATION_TIME: <compilation time in seconds>, \n"
" // LINK_TIME: <link time in seconds>, \n"
" // EXECUTABLE_SIZE: <executable size in KB>, \n"
" // PEAK_MEMORY: <peak memory usage in KB> \n"
" // }], \n"
" // total: <same as 'base', but with METABENCH defined> \n"
" // }] \n"
" // } \n"
" var data = <%= data.to_json %>; \n"
" \n"
" // massage the measurements for ingestion by nvd3 \n"
" data.forEach(function(dataset) { \n"
" dataset.values = dataset.values.map(function(value) { \n"
" new_value = {'n': value['n'], 'base': {}, 'total': {}}; \n"
" ['COMPILATION_TIME', 'LINK_TIME', 'EXECUTABLE_SIZE', 'PEAK_MEMORY'].forEach(function(aspect) { \n"
" new_value['base'][aspect] = value.base.map(function(v){ return dataset.scale * v[aspect]; }); \n"
" new_value['total'][aspect] = value.total.map(function(v){ return dataset.scale * v[aspect]; }); \n"
" }); \n"
" return new_value; \n"
" }); \n"
" }); \n"
" \n"
" // setup per-aspect custom settings \n"
" var aspectDefaults = { \n"
" 'COMPILATION_TIME': { \n"
" axisLabel: 'Compilation time', \n"
" tickFormat: function(val){ return d3.format('.2f')(val) + 's'; } \n"
" }, \n"
" 'EXECUTABLE_SIZE': { \n"
" axisLabel: 'Executable size', \n"
" tickFormat: function(val){ return d3.format('.0f')(val) + 'kb'; } \n"
" }, \n"
" 'LINK_TIME': { \n"
" axisLabel: 'Link time', \n"
" tickFormat: function(val){ return d3.format('.2f')(val) + 's'; } \n"
" }, \n"
" 'PEAK_MEMORY': { \n"
" axisLabel: 'Peak memory usage', \n"
" tickFormat: function(val){ return d3.format('.0f')(val) + 'kb'; } \n"
" } \n"
" }; \n"
" \n"
" // setup the chart and its options \n"
" var chart = nv.models.lineChart() \n"
" .color(d3.scale.category10().range()) \n"
" .margin({left: 75, bottom: 50}) \n"
" .forceX([0]).forceY([0]); \n"
" \n"
" chart.x(function(datum){ return datum.n; }) \n"
" .xAxis.options({ \n"
" axisLabel: customSettings.XLABEL || 'Number of elements', \n"
" tickFormat: d3.format('.0f') \n"
" }); \n"
" \n"
" var subtract_baseline = function(datum) { \n"
" return Math.max(0, median(datum.total[aspect]) - median(datum.base[aspect])); \n"
" }; \n"
" chart.y(subtract_baseline) \n"
" .yAxis.options({ \n"
" axisLabel: customSettings.YLABEL || aspectDefaults[aspect].axisLabel, \n"
" tickFormat: aspectDefaults[aspect].tickFormat \n"
" }); \n"
" \n"
" chart.interpolate('cardinal').useInteractiveGuideline(true); \n"
" d3.select('#chart').datum(data).call(chart); \n"
" var plot = d3.select('#chart > g'); \n"
" \n"
" // setup the title \n"
" plot.append('text') \n"
" .style('font-size', '24px') \n"
" .attr('text-anchor', 'middle').attr('x', '50%').attr('y', '20px') \n"
" .text(customSettings.TITLE || ''); \n"
" \n"
" // setup the subtitle \n"
" plot.append('text') \n"
" .style('font-size', '16px') \n"
" .attr('text-anchor', 'middle').attr('x', '50%').attr('y', '40px') \n"
" .text(customSettings.SUBTITLE || ''); \n"
" \n"
" // setup interpolation control \n"
" var controls = plot.select('.nv-x.nv-axis').append('g').attr('transform', 'translate(24,30)'); \n"
" var interpolate = controls.append('g').attr('class', 'control interpolate').datum([chart.interpolate()]); \n"
" interpolate.append('circle') \n"
" .style('fill', '#333').style('stroke', '#333').style('stroke-width', '2').style('fill-opacity', 1) \n"
" .attr('cx', 0).attr('cy', 0).attr('r', 5); \n"
" interpolate.append('text').attr('text-anchor', 'start').attr('dx', '8').attr('dy', '.32em').text('interpolate'); \n"
" interpolate.on('click', function() { \n"
" if (chart.interpolate() === interpolate.datum()[0]) { \n"
" interpolate.select('circle').style('fill-opacity', 0); \n"
" chart.interpolate('linear'); \n"
" } else { \n"
" d3.select(this).select('circle').style('fill-opacity', 1); \n"
" chart.interpolate(interpolate.datum()[0]); \n"
" } \n"
" chart.update(); \n"
" }); \n"
" \n"
" // setup baseline control \n"
" var baseline = controls.append('g').attr('class', 'control baseline').datum(true /* whether button is checked */); \n"
" baseline.attr('transform', 'translate(80,0)').append('circle') \n"
" .style('fill', '#333').style('stroke', '#333').style('stroke-width', '2').style('fill-opacity', 1) \n"
" .attr('cx', 0).attr('cy', 0).attr('r', 5); \n"
" baseline.append('text').attr('text-anchor', 'start').attr('dx', '8').attr('dy', '.32em').text('subtract baseline'); \n"
" baseline.on('click', function() { \n"
" // We subtract the baseline from the total if the button was just checked, otherwise we use the total unchanged. \n"
" if (!baseline.datum()) { \n"
" d3.select(this).select('circle').style('fill-opacity', 1); \n"
" chart.y(subtract_baseline); \n"
" } else { \n"
" baseline.select('circle').style('fill-opacity', 0); \n"
" chart.y(function(datum) { return median(datum.total[aspect]); }); \n"
" } \n"
" baseline.datum(!baseline.datum()); // toggle the radio button \n"
" chart.update(); \n"
" }); \n"
" \n"
" // ensure the chart is responsive \n"
" nv.utils.windowResize(chart.update); \n"
" </script> \n"
" </body> \n"
"</html> \n"
)
################################################################################
# end chart.html.erb
################################################################################
################################################################################
# nvd3.css
#
# The following is a copy of the nvd3 1.8.5 css file.
# https://github.com/novus/nvd3
################################################################################
file(WRITE "${METABENCH_DIR}/nvd3.css" "\
.nvd3 .nv-axis line,.nvd3 .nv-axis path{fill:none;shape-rendering:crispEdges}.nv-brush .extent,.nvd3 .background path,.nvd3 .nv-axis line,.nvd3 .nv-axis path{shape-rendering:crispEdges}.nv-distx,.nv-disty,.nv-noninteractive,.nvd3 .nv-axis,.nvd3.nv-pie .nv-label,.nvd3.nv-sparklineplus g.nv-hoverValue{pointer-events:none}.nvd3 .nv-axis{opacity:1}.nvd3 .nv-axis.nv-disabled,.nvd3 .nv-controlsWrap .nv-legend .nv-check-box .nv-check{opacity:0}.nvd3 .nv-axis path{stroke:#000;stroke-opacity:.75}.nvd3 .nv-axis path.domain{stroke-opacity:.75}.nvd3 .nv-axis.nv-x path.domain{stroke-opacity:0}.nvd3 .nv-axis line{stroke:#e5e5e5}.nvd3 .nv-axis .zero line, .nvd3 .nv-axis line.zero{stroke-opacity:.75}.nvd3 .nv-axis .nv-axisMaxMin text{font-weight:700}.nvd3 .x .nv-axis .nv-axisMaxMin text,.nvd3 .x2 .nv-axis .nv-axisMaxMin text,.nvd3 .x3 .nv-axis .nv-axisMaxMin text{text-anchor:middle}.nvd3 .nv-bars rect{fill-opacity:.75;transition:fill-opacity 250ms linear}.nvd3 .nv-bars rect.hover{fill-opacity:1}.nvd3 .nv-bars .hover rect{fill:#add8e6}.nvd3 .nv-bars text{fill:transparent}.nvd3 .nv-bars .hover text{fill:rgba(0,0,0,1)}.nvd3 .nv-discretebar .nv-groups rect,.nvd3 .nv-multibar .nv-groups rect,.nvd3 .nv-multibarHorizontal .nv-groups rect{stroke-opacity:0;transition:fill-opacity 250ms linear}.with-transitions .nv-candlestickBar .nv-ticks .nv-tick,.with-transitions .nvd3 .nv-groups .nv-point{transition:stroke-width 250ms linear,stroke-opacity 250ms linear}.nvd3 .nv-candlestickBar .nv-ticks rect:hover,.nvd3 .nv-discretebar .nv-groups rect:hover,.nvd3 .nv-multibar .nv-groups rect:hover,.nvd3 .nv-multibarHorizontal .nv-groups rect:hover{fill-opacity:1}.nvd3 .nv-discretebar .nv-groups text,.nvd3 .nv-multibarHorizontal .nv-groups text{font-weight:700;fill:rgba(0,0,0,1);stroke:transparent}.nvd3 .nv-boxplot circle{fill-opacity:.5}.nvd3 .nv-boxplot circle:hover,.nvd3 .nv-boxplot rect:hover{fill-opacity:1}.nvd3 line.nv-boxplot-median{stroke:#000}.nv-boxplot-tick:hover{stroke-width:2.5px}.nvd3.nv-bullet{font:10px sans-serif}.nvd3.nv-bullet .nv-measure{fill-opacity:.8}.nvd3.nv-bullet \
.nv-measure:hover{fill-opacity:1}.nvd3.nv-bullet .nv-marker{stroke:#000;stroke-width:2px}.nvd3.nv-bullet .nv-markerTriangle{stroke:#000;fill:#fff;stroke-width:1.5px}.nvd3.nv-bullet .nv-markerLine{stroke:#000;stroke-width:1.5px}.nvd3.nv-bullet .nv-tick line{stroke:#666;stroke-width:.5px}.nvd3.nv-bullet .nv-range.nv-s0{fill:#eee}.nvd3.nv-bullet .nv-range.nv-s1{fill:#ddd}.nvd3.nv-bullet .nv-range.nv-s2{fill:#ccc}.nvd3.nv-bullet .nv-title{font-size:14px;font-weight:700}.nvd3.nv-bullet .nv-subtitle{fill:#999}.nvd3.nv-bullet .nv-range{fill:#bababa;fill-opacity:.4}.nvd3.nv-bullet .nv-range:hover{fill-opacity:.7}.nvd3.nv-candlestickBar .nv-ticks .nv-tick{stroke-width:1px}.nvd3.nv-candlestickBar .nv-ticks .nv-tick.hover{stroke-width:2px}.nvd3.nv-candlestickBar .nv-ticks .nv-tick.positive rect{stroke:#2ca02c;fill:#2ca02c}.nvd3.nv-candlestickBar .nv-ticks .nv-tick.negative rect{stroke:#d62728;fill:#d62728}.nvd3.nv-candlestickBar .nv-ticks line{stroke:#333}.nv-force-node{stroke:#fff;stroke-width:1.5px}.nv-force-link{stroke:#999;stroke-opacity:.6}.nv-force-node text{stroke-width:0}.nvd3 .nv-check-box .nv-box{fill-opacity:0;stroke-width:2}.nvd3 .nv-check-box .nv-check{fill-opacity:0;stroke-width:4}.nvd3 .nv-series.nv-disabled .nv-check-box .nv-check{fill-opacity:0;stroke-opacity:0}.nvd3.nv-linePlusBar .nv-bar rect{fill-opacity:.75}.nvd3.nv-linePlusBar .nv-bar rect:hover{fill-opacity:1}.nvd3 .nv-groups path.nv-line{fill:none}.nvd3 .nv-groups path.nv-area{stroke:none}.nvd3.nv-line .nvd3.nv-scatter .nv-groups .nv-point{fill-opacity:0;stroke-opacity:0}.nvd3.nv-scatter.nv-single-point .nv-groups .nv-point{fill-opacity:.5!important;stroke-opacity:.5!important}.nvd3 .nv-groups .nv-point.hover,.nvd3.nv-scatter .nv-groups .nv-point.hover{stroke-width:7px;fill-opacity:.95!important;stroke-opacity:.95!important}.nvd3 .nv-point-paths path{stroke:#aaa;stroke-opacity:0;fill:#eee;fill-opacity:0}.nvd3 .nv-indexLine{cursor:ew-resize}svg.nvd3-svg{-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;display:block;width:100%;\
height:100%}.nvtooltip.with-3d-shadow,.with-3d-shadow .nvtooltip{box-shadow:0 5px 10px rgba(0,0,0,.2);border-radius:5px}.nvd3 text{font:400 12px Arial,sans-serif}.nvd3 .title{font:700 14px Arial,sans-serif}.nvd3 .nv-background{fill:#fff;fill-opacity:0}.nvd3.nv-noData{font-size:18px;font-weight:700}.nv-brush .extent{fill-opacity:.125}.nv-brush .resize path{fill:#eee;stroke:#666}.nvd3 .nv-legend .nv-series{cursor:pointer}.nvd3 .nv-legend .nv-disabled circle{fill-opacity:0}.nvd3 .nv-brush .extent{fill-opacity:0!important}.nvd3 .nv-brushBackground rect{stroke:#000;stroke-width:.4;fill:#fff;fill-opacity:.7}\@media print{.nvd3 text{stroke-width:0;fill-opacity:1}}.nvd3.nv-ohlcBar .nv-ticks .nv-tick{stroke-width:1px}.nvd3.nv-ohlcBar .nv-ticks .nv-tick.hover{stroke-width:2px}.nvd3.nv-ohlcBar .nv-ticks .nv-tick.positive{stroke:#2ca02c}.nvd3.nv-ohlcBar .nv-ticks .nv-tick.negative{stroke:#d62728}.nvd3 .background path{fill:none;stroke:#EEE;stroke-opacity:.4}.nvd3 .foreground path{fill:none;stroke-opacity:.7}.nvd3 .nv-parallelCoordinates-brush .extent{fill:#fff;fill-opacity:.6;stroke:gray;shape-rendering:crispEdges}.nvd3 .nv-parallelCoordinates .hover{fill-opacity:1;stroke-width:3px}.nvd3 .missingValuesline line{fill:none;stroke:#000;stroke-width:1;stroke-opacity:1;stroke-dasharray:5,5}.nvd3.nv-pie .nv-pie-title{font-size:24px;fill:rgba(19,196,249,.59)}.nvd3.nv-pie .nv-slice text{stroke:#000;stroke-width:0}.nvd3.nv-pie path{transition:fill-opacity 250ms linear,stroke-width 250ms linear,stroke-opacity 250ms linear;stroke:#fff;stroke-width:1px;stroke-opacity:1;fill-opacity:.7}.nvd3.nv-pie .hover path{fill-opacity:1}.nvd3.nv-pie .nv-label rect{fill-opacity:0;stroke-opacity:0}.nvd3 .nv-groups .nv-point.hover{stroke-width:20px;stroke-opacity:.5}.nvd3 .nv-scatter .nv-point.hover{fill-opacity:1}.nvd3.nv-sparkline path{fill:none}.nvd3.nv-sparklineplus .nv-hoverValue line{stroke:#333;stroke-width:1.5px}.nvd3.nv-sparklineplus,.nvd3.nv-sparklineplus g{pointer-events:all}.nvd3 .nv-interactiveGuideLine,.nvtooltip{pointer-events:none}.nvd3 .nv-hoverArea{fill-opacity:0;\
stroke-opacity:0}.nvd3.nv-sparklineplus .nv-xValue,.nvd3.nv-sparklineplus .nv-yValue{stroke-width:0;font-size:.9em;font-weight:400}.nvd3.nv-sparklineplus .nv-yValue{stroke:#f66}.nvd3.nv-sparklineplus .nv-maxValue{stroke:#2ca02c;fill:#2ca02c}.nvd3.nv-sparklineplus .nv-minValue{stroke:#d62728;fill:#d62728}.nvd3.nv-sparklineplus .nv-currentValue{font-weight:700;font-size:1.1em}.nvtooltip h3,.nvtooltip table td.key{font-weight:400}.nvd3.nv-stackedarea path.nv-area{fill-opacity:.7;stroke-opacity:0;transition:fill-opacity 250ms linear,stroke-opacity 250ms linear}.nvd3.nv-stackedarea path.nv-area.hover{fill-opacity:.9}.nvd3.nv-stackedarea .nv-groups .nv-point{stroke-opacity:0;fill-opacity:0}.nvtooltip{position:absolute;color:rgba(0,0,0,1);padding:1px;z-index:10000;display:block;font-family:Arial,sans-serif;font-size:13px;text-align:left;white-space:nowrap;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;background:rgba(255,255,255,.8);border:1px solid rgba(0,0,0,.5);border-radius:4px}.nvtooltip h3,.nvtooltip p{margin:0;text-align:center}.nvtooltip.with-transitions,.with-transitions .nvtooltip{transition:opacity 50ms linear;transition-delay:200ms}.nvtooltip.x-nvtooltip,.nvtooltip.y-nvtooltip{padding:8px}.nvtooltip h3{padding:4px 14px;line-height:18px;background-color:rgba(247,247,247,.75);color:rgba(0,0,0,1);border-bottom:1px solid #ebebeb;border-radius:5px 5px 0 0}.nvtooltip p{padding:5px 14px}.nvtooltip span{display:inline-block;margin:2px 0}.nvtooltip table{margin:6px;border-spacing:0}.nvtooltip table td{padding:2px 9px 2px 0;vertical-align:middle}.nvtooltip table td.key.total{font-weight:700}.nvtooltip table td.value{text-align:right;font-weight:700}.nvtooltip table td.percent{color:#a9a9a9}.nvtooltip table tr.highlight td{padding:1px 9px 1px 0;border-bottom-style:solid;border-bottom-width:1px;border-top-style:solid;border-top-width:1px}.nvtooltip table td.legend-color-guide div{vertical-align:middle;width:12px;height:12px;border:1px solid #999}.nvtooltip .footer{padding:3px;text-align:center}.nvtooltip-pending-removal{pointer-events:none;\
display:none}.nvd3 line.nv-guideline{stroke:#ccc}\
")
################################################################################
# end nvd3.css
################################################################################
################################################################################
# nvd3.js
#
# The following is a copy of the nvd3 1.8.5 js file. Note that we write it
# to the file in multiple steps, because CMake exhausts its stack memory when
# parsing too long strings.
# https://github.com/novus/nvd3
################################################################################
file(WRITE "${METABENCH_DIR}/nvd3.js" "\
/* nvd3 version 1.8.5 (https://github.com/novus/nvd3) 2016-12-01 */\
!function(){var a={};a.dev=!1,a.tooltip=a.tooltip||{},a.utils=a.utils||{},a.models=a.models||{},a.charts={},a.logs={},a.dom={},\"undefined\"!=typeof module&&\"undefined\"!=typeof exports&&\"undefined\"==typeof d3&&(d3=require(\"d3\")),a.dispatch=d3.dispatch(\"render_start\",\"render_end\"),Function.prototype.bind||(Function.prototype.bind=function(a){if(\"function\"!=typeof this)throw new TypeError(\"Function.prototype.bind - what is trying to be bound is not callable\");var b=Array.prototype.slice.call(arguments,1),c=this,d=function(){},e=function(){return c.apply(this instanceof d&&a?this:a,b.concat(Array.prototype.slice.call(arguments)))};return d.prototype=this.prototype,e.prototype=new d,e}),a.dev&&(a.dispatch.on(\"render_start\",function(b){a.logs.startTime=+new Date}),a.dispatch.on(\"render_end\",function(b){a.logs.endTime=+new Date,a.logs.totalTime=a.logs.endTime-a.logs.startTime,a.log(\"total\",a.logs.totalTime)})),a.log=function(){if(a.dev&&window.console&&console.log&&console.log.apply)console.log.apply(console,arguments);else if(a.dev&&window.console&&\"function\"==typeof console.log&&Function.prototype.bind){var b=Function.prototype.bind.call(console.log,console);b.apply(console,arguments)}return arguments[arguments.length-1]},a.deprecated=function(a,b){console&&console.warn&&console.warn(\"nvd3 warning: `\"+a+\"` has been deprecated. \",b||\"\")},a.render=function(b){b=b||1,a.render.active=!0,a.dispatch.render_start();var c=function(){for(var d,e,f=0;b>f&&(e=a.render.queue[f]);f++)d=e.generate(),typeof e.callback==typeof Function&&e.callback(d);a.render.queue.splice(0,f),a.render.queue.length?setTimeout(c):(a.dispatch.render_end(),a.render.active=!1)};setTimeout(c)},a.render.active=!1,a.render.queue=[],a.addGraph=function(b){typeof arguments[0]==typeof Function&&(b={generate:arguments[0],callback:arguments[1]}),a.render.queue.push(b),a.render.active||a.render()},\"undefined\"!=typeof module&&\"undefined\"!=typeof exports&&(module.exports=a),\"undefined\"!=typeof window&&(window.nv=a),a.dom.write=function(a){return void 0!==window.fastdom?fastdom.mutate(a):a()},\
a.dom.read=function(a){return void 0!==window.fastdom?fastdom.measure(a):a()},a.interactiveGuideline=function(){\"use strict\";function b(l){l.each(function(l){function m(){var a=d3.mouse(this),d=a[0],e=a[1],h=!0,i=!1;if(k&&(d=d3.event.offsetX,e=d3.event.offsetY,\"svg\"!==d3.event.target.tagName&&(h=!1),d3.event.target.className.baseVal.match(\"nv-legend\")&&(i=!0)),h&&(d-=c.left,e-=c.top),\"mouseout\"===d3.event.type||0>d||0>e||d>o||e>p||d3.event.relatedTarget&&void 0===d3.event.relatedTarget.ownerSVGElement||i){if(k&&d3.event.relatedTarget&&void 0===d3.event.relatedTarget.ownerSVGElement&&(void 0===d3.event.relatedTarget.className||d3.event.relatedTarget.className.match(j.nvPointerEventsClass)))return;return g.elementMouseout({mouseX:d,mouseY:e}),b.renderGuideLine(null),void j.hidden(!0)}j.hidden(!1);var l=\"function\"==typeof f.rangeBands,m=void 0;if(l){var n=d3.bisect(f.range(),d)-1;if(!(f.range()[n]+f.rangeBand()>=d))return g.elementMouseout({mouseX:d,mouseY:e}),b.renderGuideLine(null),void j.hidden(!0);m=f.domain()[d3.bisect(f.range(),d)-1]}else m=f.invert(d);g.elementMousemove({mouseX:d,mouseY:e,pointXValue:m}),\"dblclick\"===d3.event.type&&g.elementDblclick({mouseX:d,mouseY:e,pointXValue:m}),\"click\"===d3.event.type&&g.elementClick({mouseX:d,mouseY:e,pointXValue:m}),\"mousedown\"===d3.event.type&&g.elementMouseDown({mouseX:d,mouseY:e,pointXValue:m}),\"mouseup\"===d3.event.type&&g.elementMouseUp({mouseX:d,mouseY:e,pointXValue:m})}var n=d3.select(this),o=d||960,p=e||400,q=n.selectAll(\"g.nv-wrap.nv-interactiveLineLayer\").data([l]),r=q.enter().append(\"g\").attr(\"class\",\" nv-wrap nv-interactiveLineLayer\");r.append(\"g\").attr(\"class\",\"nv-interactiveGuideLine\"),i&&(i.on(\"touchmove\",m).on(\"mousemove\",m,!0).on(\"mouseout\",m,!0).on(\"mousedown\",m,!0).on(\"mouseup\",m,!0).on(\"dblclick\",m).on(\"click\",m),b.guideLine=null,b.renderGuideLine=function(c){h&&(b.guideLine&&b.guideLine.attr(\"x1\")===c||a.dom.write(function(){var b=q.select(\".nv-interactiveGuideLine\").selectAll(\"line\").data(null!=c?[a.utils.NaNtoZero(c)]:[],String);b.enter().append(\"line\").attr(\"class\",\
\"nv-guideline\").attr(\"x1\",function(a){return a}).attr(\"x2\",function(a){return a}).attr(\"y1\",p).attr(\"y2\",0),b.exit().remove()}))})})}var c={left:0,top:0},d=null,e=null,f=d3.scale.linear(),g=d3.dispatch(\"elementMousemove\",\"elementMouseout\",\"elementClick\",\"elementDblclick\",\"elementMouseDown\",\"elementMouseUp\"),h=!0,i=null,j=a.models.tooltip(),k=window.ActiveXObject;return j.duration(0).hideDelay(0).hidden(!1),b.dispatch=g,b.tooltip=j,b.margin=function(a){return arguments.length?(c.top=\"undefined\"!=typeof a.top?a.top:c.top,c.left=\"undefined\"!=typeof a.left?a.left:c.left,b):c},b.width=function(a){return arguments.length?(d=a,b):d},b.height=function(a){return arguments.length?(e=a,b):e},b.xScale=function(a){return arguments.length?(f=a,b):f},b.showGuideLine=function(a){return arguments.length?(h=a,b):h},b.svgContainer=function(a){return arguments.length?(i=a,b):i},b},a.interactiveBisect=function(a,b,c){\"use strict\";if(!(a instanceof Array))return null;var d;d=\"function\"!=typeof c?function(a){return a.x}:c;var e=function(a,b){return d(a)-b},f=d3.bisector(e).left,g=d3.max([0,f(a,b)-1]),h=d(a[g]);if(\"undefined\"==typeof h&&(h=g),h===b)return g;var i=d3.min([g+1,a.length-1]),j=d(a[i]);return\"undefined\"==typeof j&&(j=i),Math.abs(j-b)>=Math.abs(h-b)?g:i},a.nearestValueIndex=function(a,b,c){\"use strict\";var d=1/0,e=null;return a.forEach(function(a,f){var g=Math.abs(b-a);null!=a&&d>=g&&c>g&&(d=g,e=f)}),e},a.models.tooltip=function(){\"use strict\";function b(){if(!l||!l.node()){var a=[1];l=d3.select(document.body).select(\"#\"+d).data(a),l.enter().append(\"div\").attr(\"class\",\"nvtooltip \"+(i?i:\"xy-tooltip\")).attr(\"id\",d).style(\"top\",0).style(\"left\",0).style(\"opacity\",0).style(\"position\",\"fixed\").selectAll(\"div, table, td, tr\").classed(q,!0).classed(q,!0),l.exit().remove()}}function c(){return n&&w(e)?(a.dom.write(function(){b();var a=u(e);a&&(l.node().innerHTML=a),y()}),c):void 0}var d=\"nvtooltip-\"+Math.floor(1e5*Math.random()),e=null,f=\"w\",g=25,h=0,i=null,j=!0,k=200,l=null,m={left:null,top:null},n=!0,o=100,p=!0,q=\"nv-pointer-events-none\",\
r=function(a,b){return a},s=function(a){return a},t=function(a,b){return a},u=function(a){if(null===a)return\"\";var b=d3.select(document.createElement(\"table\"));if(p){var c=b.selectAll(\"thead\").data([a]).enter().append(\"thead\");c.append(\"tr\").append(\"td\").attr(\"colspan\",3).append(\"strong\").classed(\"x-value\",!0).html(s(a.value))}var d=b.selectAll(\"tbody\").data([a]).enter().append(\"tbody\"),e=d.selectAll(\"tr\").data(function(a){return a.series}).enter().append(\"tr\").classed(\"highlight\",function(a){return a.highlight});e.append(\"td\").classed(\"legend-color-guide\",!0).append(\"div\").style(\"background-color\",function(a){return a.color}),e.append(\"td\").classed(\"key\",!0).classed(\"total\",function(a){return!!a.total}).html(function(a,b){return t(a.key,b)}),e.append(\"td\").classed(\"value\",!0).html(function(a,b){return r(a.value,b)}),e.filter(function(a,b){return void 0!==a.percent}).append(\"td\").classed(\"percent\",!0).html(function(a,b){return\"(\"+d3.format(\"%\")(a.percent)+\")\"}),e.selectAll(\"td\").each(function(a){if(a.highlight){var b=d3.scale.linear().domain([0,1]).range([\"#fff\",a.color]),c=.6;d3.select(this).style(\"border-bottom-color\",b(c)).style(\"border-top-color\",b(c))}});var f=b.node().outerHTML;return void 0!==a.footer&&(f+=\"<div class='footer'>\"+a.footer+\"</div>\"),f},v=function(){var a={left:null!==d3.event?d3.event.clientX:0,top:null!==d3.event?d3.event.clientY:0};if(\"none\"!=getComputedStyle(document.body).transform){var b=document.body.getBoundingClientRect();a.left-=b.left,a.top-=b.top}return a},w=function(b){if(b&&b.series){if(a.utils.isArray(b.series))return!0;if(a.utils.isObject(b.series))return b.series=[b.series],!0}return!1},x=function(a){var b,c,d,e=l.node().offsetHeight,h=l.node().offsetWidth,i=document.documentElement.clientWidth,j=document.documentElement.clientHeight;switch(f){case\"e\":b=-h-g,c=-(e/2),a.left+b<0&&(b=g),(d=a.top+c)<0&&(c-=d),(d=a.top+c+e)>j&&(c-=d-j);break;case\"w\":b=g,c=-(e/2),a.left+b+h>i&&(b=-h-g),(d=a.top+c)<0&&(c-=d),(d=a.top+c+e)>j&&(c-=d-j);break;case\"n\":b=-(h/2)-5,c=g,a.top+c+e>j&&(c=-e-g),\
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e=null,f=null;this.dispatch=d3.dispatch(\"change\",\"set\"),this.dispatch.on(\"set\",function(a){c(a,!0)}),this.getter=function(a){return d=a,this},this.setter=function(a,b){return b||(b=function(){}),c=function(c,d){a(c),d&&b()},this},this.init=function(b){e=e||{},a.utils.deepExtend(e,b)};var g=function(){var a=d();if(JSON.stringify(a)===JSON.stringify(b))return!1;for(var c in a)void 0===b[c]&&(b[c]={}),b[c]=a[c],f=!0;return!0};this.update=function(){e&&(c(e,!1),e=null),g.call(this)&&this.dispatch.change(b)}},a.utils.optionsFunc=function(b){return b&&d3.map(b).forEach(function(b,c){a.utils.isFunction(this[b])&&this[b](c)}.bind(this)),this},a.utils.calcTicksX=function(b,c){var d=1,e=0;for(e;e<c.length;e+=1){var f=c[e]&&c[e].values?c[e].values.length:0;d=f>d?f:d}return a.log(\"Requested number of ticks: \",b),a.log(\"Calculated max values to be: \",d),b=b>d?b=d-1:b,b=1>b?1:b,b=Math.floor(b),a.log(\"Calculating tick count as: \",b),b},a.utils.calcTicksY=function(b,c){return a.utils.calcTicksX(b,c)},a.utils.initOption=function(a,b){a._calls&&a._calls[b]?a[b]=a._calls[b]:(a[b]=function(c){return arguments.length?(a._overrides[b]=!0,a._options[b]=c,a):a._options[b]},a[\"_\"+b]=function(c){return arguments.length?(a._overrides[b]||(a._options[b]=c),a):a._options[b]})},a.utils.initOptions=function(b){b._overrides=b._overrides||{};var c=Object.getOwnPropertyNames(b._options||{}),d=Object.getOwnPropertyNames(b._calls||{});c=c.concat(d);for(var e in c)a.utils.initOption(b,c[e])},a.utils.inheritOptionsD3=function(a,b,c){a._d3options=c.concat(a._d3options||[]),c.unshift(b),c.unshift(a),d3.rebind.apply(this,c)},a.utils.arrayUnique=function(a){return a.sort().filter(function(b,c){return!c||b!=a[c-1]})},a.utils.symbolMap=d3.map(),a.utils.symbol=function(){function b(b,e){var f=c.call(this,b,e),g=d.call(this,b,e);return-1!==d3.svg.symbolTypes.indexOf(f)?d3.svg.symbol().type(f).size(g)():a.utils.symbolMap.get(f)(g)}var c,d=64;return b.type=function(a){return arguments.length?(c=d3.functor(a),b):c},b.size=function(a){return arguments.length?(d=d3.functor(a),\
b):d},b},a.utils.inheritOptions=function(b,c){var d=Object.getOwnPropertyNames(c._options||{}),e=Object.getOwnPropertyNames(c._calls||{}),f=c._inherited||[],g=c._d3options||[],h=d.concat(e).concat(f).concat(g);h.unshift(c),h.unshift(b),d3.rebind.apply(this,h),b._inherited=a.utils.arrayUnique(d.concat(e).concat(f).concat(d).concat(b._inherited||[])),b._d3options=a.utils.arrayUnique(g.concat(b._d3options||[]))},a.utils.initSVG=function(a){a.classed({\"nvd3-svg\":!0})},a.utils.sanitizeHeight=function(a,b){return a||parseInt(b.style(\"height\"),10)||400},a.utils.sanitizeWidth=function(a,b){return a||parseInt(b.style(\"width\"),10)||960},a.utils.availableHeight=function(b,c,d){return Math.max(0,a.utils.sanitizeHeight(b,c)-d.top-d.bottom)},a.utils.availableWidth=function(b,c,d){return Math.max(0,a.utils.sanitizeWidth(b,c)-d.left-d.right)},a.utils.noData=function(b,c){var d=b.options(),e=d.margin(),f=d.noData(),g=null==f?[\"No Data Available.\"]:[f],h=a.utils.availableHeight(null,c,e),i=a.utils.availableWidth(null,c,e),j=e.left+i/2,k=e.top+h/2;c.selectAll(\"g\").remove();var l=c.selectAll(\".nv-noData\").data(g);l.enter().append(\"text\").attr(\"class\",\"nvd3 nv-noData\").attr(\"dy\",\"-.7em\").style(\"text-anchor\",\"middle\"),l.attr(\"x\",j).attr(\"y\",k).text(function(a){return a})},a.utils.wrapTicks=function(a,b){a.each(function(){for(var a,c=d3.select(this),d=c.text().split(/\\s+/).reverse(),e=[],f=0,g=1.1,h=c.attr(\"y\"),i=parseFloat(c.attr(\"dy\")),j=c.text(null).append(\"tspan\").attr(\"x\",0).attr(\"y\",h).attr(\"dy\",i+\"em\");a=d.pop();)e.push(a),j.text(e.join(\" \")),j.node().getComputedTextLength()>b&&(e.pop(),j.text(e.join(\" \")),e=[a],j=c.append(\"tspan\").attr(\"x\",0).attr(\"y\",h).attr(\"dy\",++f*g+i+\"em\").text(a))})},a.utils.arrayEquals=function(b,c){if(b===c)return!0;if(!b||!c)return!1;if(b.length!=c.length)return!1;for(var d=0,e=b.length;e>d;d++)if(b[d]instanceof Array&&c[d]instanceof Array){if(!a.arrayEquals(b[d],c[d]))return!1}else if(b[d]!=c[d])return!1;return!0},a.models.axis=function(){\"use strict\";function b(g){return t.reset(),g.each(function(b){var \
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d(a[1])).attr(\"width\",0>e?0:e)})}function w(a){p=h.empty()?null:h.extent();var b=h.empty()?d.domain():h.extent();r.brush({extent:b,brush:h}),v(),a&&r.onBrush(b)}var x=d3.select(this);a.utils.initSVG(x);var y=a.utils.availableWidth(k,x,i),z=l-i.top-i.bottom;c.update=function(){0===q?x.call(c):x.transition().duration(q).call(c)},c.container=this,d=b.xScale(),e=b.yScale();var A=x.selectAll(\"g.nv-focus\").data([t]),B=A.enter().append(\"g\").attr(\"class\",\"nvd3 nv-focus\").append(\"g\"),C=A.select(\"g\");A.attr(\"transform\",\"translate(\"+i.left+\",\"+i.top+\")\"),B.append(\"g\").attr(\"class\",\"nv-background\").append(\"rect\"),B.append(\"g\").attr(\"class\",\"nv-x nv-axis\"),B.append(\"g\").attr(\"class\",\"nv-y nv-axis\"),B.append(\"g\").attr(\"class\",\"nv-contentWrap\"),B.append(\"g\").attr(\"class\",\"nv-brushBackground\"),B.append(\"g\").attr(\"class\",\"nv-x nv-brush\"),o&&C.select(\".nv-y.nv-axis\").attr(\"transform\",\"translate(\"+y+\",0)\"),C.select(\".nv-background rect\").attr(\"width\",y).attr(\"height\",z),b.width(y).height(z).color(t.map(function(a,b){return a.color||j(a,b)}).filter(function(a,b){return!t[b].disabled}));var D=C.select(\".nv-contentWrap\").datum(t.filter(function(a){return!a.disabled}));d3.transition(D).call(b),h.x(d).on(\"brush\",function(){w(s)}),h.on(\"brushend\",function(){s||r.onBrush(h.empty()?d.domain():h.extent())}),p&&h.extent(p);var E=C.select(\".nv-brushBackground\").selectAll(\"g\").data([p||h.extent()]),F=E.enter().append(\"g\");F.append(\"rect\").attr(\"class\",\"left\").attr(\"x\",0).attr(\"y\",0).attr(\"height\",z),F.append(\"rect\").attr(\"class\",\"right\").attr(\"x\",0).attr(\"y\",0).attr(\"height\",z);var G=C.select(\".nv-x.nv-brush\").call(h);G.selectAll(\"rect\").attr(\"height\",z),G.selectAll(\".resize\").append(\"path\").attr(\"d\",u),w(!0),C.select(\".nv-background rect\").attr(\"width\",y).attr(\"height\",z),m&&(f.scale(d)._ticks(a.utils.calcTicksX(y/100,t)).tickSize(-z,0),C.select(\".nv-x.nv-axis\").attr(\"transform\",\"translate(0,\"+e.range()[0]+\")\"),d3.transition(C.select(\".nv-x.nv-axis\")).call(f)),n&&(g.scale(e)._ticks(a.utils.calcTicksY(z/36,t)).tickSize(-y,0),d3.transition(C.select(\".nv-y.nv-axis\")).call(g)),\
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c},a.models.ohlcBarChart=function(){var b=a.models.historicalBarChart(a.models.ohlcBar());return b.useInteractiveGuideline(!0),b.interactiveLayer.tooltip.contentGenerator(function(a){var c=a.series[0].data,d=c.open<c.close?\"2ca02c\":\"d62728\";return'<h3 style=\"color: #'+d+'\">'+a.value+\"</h3><table><tr><td>open:</td><td>\"+b.yAxis.tickFormat()(c.open)+\"</td></tr><tr><td>close:</td><td>\"+b.yAxis.tickFormat()(c.close)+\"</td></tr><tr><td>high</td><td>\"+b.yAxis.tickFormat()(c.high)+\"</td></tr><tr><td>low:</td><td>\"+b.yAxis.tickFormat()(c.low)+\"</td></tr></table>\"}),b},a.models.candlestickBarChart=function(){var b=a.models.historicalBarChart(a.models.candlestickBar());return b.useInteractiveGuideline(!0),b.interactiveLayer.tooltip.contentGenerator(function(a){var c=a.series[0].data,d=c.open<c.close?\"2ca02c\":\"d62728\";return'<h3 style=\"color: #'+d+'\">'+a.value+\"</h3><table><tr><td>open:</td><td>\"+b.yAxis.tickFormat()(c.open)+\"</td></tr><tr><td>close:</td><td>\"+b.yAxis.tickFormat()(c.close)+\"</td></tr><tr><td>high</td><td>\"+b.yAxis.tickFormat()(c.high)+\"</td></tr><tr><td>low:</td><td>\"+b.yAxis.tickFormat()(c.low)+\"</td></tr></table>\";\
}),b},a.models.legend=function(){\"use strict\";function b(r){function s(a,b){return\"furious\"!=q?\"#000\":o?a.disengaged?\"#000\":\"#fff\":o?void 0:(a.color||(a.color=h(a,b)),a.disabled?a.color:\"#fff\")}function t(a,b){return o&&\"furious\"==q&&a.disengaged?\"#eee\":a.color||h(a,b)}function u(a,b){return o&&\"furious\"==q?1:a.disabled?0:1}return r.each(function(b){var h=d-c.left-c.right,r=d3.select(this);a.utils.initSVG(r);var v=r.selectAll(\"g.nv-legend\").data([b]),w=v.enter().append(\"g\").attr(\"class\",\"nvd3 nv-legend\").append(\"g\"),x=v.select(\"g\");l?v.attr(\"transform\",\"translate(\"+-c.right+\",\"+c.top+\")\"):v.attr(\"transform\",\"translate(\"+c.left+\",\"+c.top+\")\");var y,z,A=x.selectAll(\".nv-series\").data(function(a){return\"furious\"!=q?a:a.filter(function(a){return o?!0:!a.disengaged})}),B=A.enter().append(\"g\").attr(\"class\",\"nv-series\");switch(q){case\"furious\":z=23;break;case\"classic\":z=20}if(\"classic\"==q)B.append(\"circle\").style(\"stroke-width\",2).attr(\"class\",\"nv-legend-symbol\").attr(\"r\",5),y=A.select(\".nv-legend-symbol\");else if(\"furious\"==q){B.append(\"rect\").style(\"stroke-width\",2).attr(\"class\",\"nv-legend-symbol\").attr(\"rx\",3).attr(\"ry\",3),y=A.select(\".nv-legend-symbol\"),B.append(\"g\").attr(\"class\",\"nv-check-box\").property(\"innerHTML\",'<path d=\"M0.5,5 L22.5,5 L22.5,26.5 L0.5,26.5 L0.5,5 Z\" class=\"nv-box\"></path><path d=\"M5.5,12.8618467 L11.9185089,19.2803556 L31,0.198864511\" class=\"nv-check\"></path>').attr(\"transform\",\"translate(-10,-8)scale(0.5)\");var C=A.select(\".nv-check-box\");C.each(function(a,b){d3.select(this).selectAll(\"path\").attr(\"stroke\",s(a,b))})}B.append(\"text\").attr(\"text-anchor\",\"start\").attr(\"class\",\"nv-legend-text\").attr(\"dy\",\".32em\").attr(\"dx\",\"8\");var D=A.select(\"text.nv-legend-text\");A.on(\"mouseover\",function(a,b){p.legendMouseover(a,b)}).on(\"mouseout\",function(a,b){p.legendMouseout(a,b)}).on(\"click\",function(a,b){p.legendClick(a,b);var c=A.data();if(m){if(\"classic\"==q)n?(c.forEach(function(a){a.disabled=!0}),a.disabled=!1):(a.disabled=!a.disabled,c.every(function(a){return a.disabled})&&c.forEach(function(a){a.disabled=!1}));\
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t=t||c,u=u||d;var w=i.selectAll(\"g.nv-wrap.nv-line\").data([b]),x=w.enter().append(\"g\").attr(\"class\",\"nvd3 nv-wrap nv-line\"),y=x.append(\"defs\"),z=x.append(\"g\"),A=w.select(\"g\");z.append(\"g\").attr(\"class\",\"nv-groups\"),z.append(\"g\").attr(\"class\",\"nv-scatterWrap\"),w.attr(\"transform\",\"translate(\"+f.left+\",\"+f.top+\")\"),e.width(r).height(s);var B=w.select(\".nv-scatterWrap\");B.call(e),y.append(\"clipPath\").attr(\"id\",\"nv-edge-clip-\"+e.id()).append(\"rect\"),w.select(\"#nv-edge-clip-\"+e.id()+\" rect\").attr(\"width\",r).attr(\"height\",s>0?s:0),A.attr(\"clip-path\",p?\"url(#nv-edge-clip-\"+e.id()+\")\":\"\"),B.attr(\"clip-path\",p?\"url(#nv-edge-clip-\"+e.id()+\")\":\"\");var C=w.select(\".nv-groups\").selectAll(\".nv-group\").data(function(a){return a},function(a){return a.key});C.enter().append(\"g\").style(\"stroke-opacity\",1e-6).style(\"stroke-width\",function(a){return a.strokeWidth||j}).style(\"fill-opacity\",1e-6),C.exit().remove(),C.attr(\"class\",function(a,b){return(a.classed||\"\")+\" nv-group nv-series-\"+b}).classed(\"hover\",function(a){return a.hover}).style(\"fill\",function(a,b){return k(a,b)}).style(\"stroke\",function(a,b){return k(a,b)}),C.watchTransition(v,\"line: groups\").style(\"stroke-opacity\",1).style(\"fill-opacity\",function(a){return a.fillOpacity||.5});var D=C.selectAll(\"path.nv-area\").data(function(a){return o(a)?[a]:[]});D.enter().append(\"path\").attr(\"class\",\"nv-area\").attr(\"d\",function(b){return d3.svg.area().interpolate(q).defined(n).x(function(b,c){return a.utils.NaNtoZero(t(l(b,c)))}).y0(function(b,c){return a.utils.NaNtoZero(u(m(b,c)))}).y1(function(a,b){return u(d.domain()[0]<=0?d.domain()[1]>=0?0:d.domain()[1]:d.domain()[0])}).apply(this,[b.values])}),C.exit().selectAll(\"path.nv-area\").remove(),D.watchTransition(v,\"line: areaPaths\").attr(\"d\",function(b){return d3.svg.area().interpolate(q).defined(n).x(function(b,d){return a.utils.NaNtoZero(c(l(b,d)))}).y0(function(b,c){return a.utils.NaNtoZero(d(m(b,c)))}).y1(function(a,b){return d(d.domain()[0]<=0?d.domain()[1]>=0?0:d.domain()[1]:d.domain()[0])}).apply(this,[b.values])});var E=C.selectAll(\"path.nv-line\").data(function(a){return[a.values]});\
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")
file(APPEND "${METABENCH_DIR}/nvd3.js" "\
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y:{get:function(){return o},set:function(a){o=d3.functor(a)}},margin:{get:function(){return g},set:function(a){g.top=void 0!==a.top?a.top:g.top,g.right=void 0!==a.right?a.right:g.right,g.bottom=void 0!==a.bottom?a.bottom:g.bottom,g.left=void 0!==a.left?a.left:g.left}},color:{get:function(){return p},set:function(b){p=a.utils.getColor(b)}}}),b.dispatch=s,a.utils.initOptions(b),b},a.models.sparklinePlus=function(){\"use strict\";function b(p){return r.reset(),r.models(e),p.each(function(p){function q(){if(!j){var a=z.selectAll(\".nv-hoverValue\").data(i),b=a.enter().append(\"g\").attr(\"class\",\"nv-hoverValue\").style(\"stroke-opacity\",0).style(\"fill-opacity\",0);a.exit().transition().duration(250).style(\"stroke-opacity\",0).style(\"fill-opacity\",0).remove(),a.attr(\"transform\",function(a){return\"translate(\"+c(e.x()(p[a],a))+\",0)\"}).transition().duration(250).style(\"stroke-opacity\",1).style(\"fill-opacity\",1),i.length&&(b.append(\"line\").attr(\"x1\",0).attr(\"y1\",-f.top).attr(\"x2\",0).attr(\"y2\",u),\
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break;case\"stack_percent\":b.offset(b.d3_stackedOffset_stackPercent),b.order(\"default\")}}},duration:{get:function(){return t},set:function(a){t=a,v.reset(t),s.duration(t)}}}),a.utils.inheritOptions(b,s),a.utils.initOptions(b),b},a.models.stackedAreaChart=function(){\"use strict\";function b(k){return L.reset(),L.models(e),u&&L.models(f),v&&L.models(g),k.each(function(k){function D(){u&&X.select(\".nv-focus .nv-x.nv-axis\").attr(\"transform\",\"translate(0,\"+T+\")\").transition().duration(I).call(f)}function L(){if(v){if(\"expand\"===e.style()||\"stack_percent\"===e.style()){var a=g.tickFormat();J&&a===P||(J=a),g.tickFormat(P)}else J&&(g.tickFormat(J),J=null);X.select(\".nv-focus .nv-y.nv-axis\").transition().duration(0).call(g)}}function Q(a){var b=X.select(\".nv-focus .nv-stackedWrap\").datum(k.filter(function(a){return!a.disabled}).map(function(b,c){return{key:b.key,area:b.area,classed:b.classed,values:b.values.filter(function(b,c){return e.x()(b,c)>=a[0]&&e.x()(b,c)<=a[1]}),disableTooltip:b.disableTooltip}}));b.transition().duration(I).call(e),D(),L()}var R=d3.select(this);a.utils.initSVG(R);var S=a.utils.availableWidth(o,R,m),T=a.utils.availableHeight(p,R,m)-(x?l.height():0);if(b.update=function(){R.transition().duration(I).call(b)},b.container=this,B.setter(O(k),b.update).getter(N(k)).update(),B.disabled=k.map(function(a){return!!a.disabled}),!C){var U;C={};for(U in B)B[U]instanceof Array?C[U]=B[U].slice(0):C[U]=B[U]}if(!(k&&k.length&&k.filter(function(a){return a.values.length}).length))return a.utils.noData(b,R),b;R.selectAll(\".nv-noData\").remove(),c=e.xScale(),d=e.yScale();var V=R.selectAll(\"g.nv-wrap.nv-stackedAreaChart\").data([k]),W=V.enter().append(\"g\").attr(\"class\",\"nvd3 nv-wrap nv-stackedAreaChart\").append(\"g\"),X=V.select(\"g\");W.append(\"g\").attr(\"class\",\"nv-legendWrap\"),W.append(\"g\").attr(\"class\",\"nv-controlsWrap\");var Y=W.append(\"g\").attr(\"class\",\"nv-focus\");Y.append(\"g\").attr(\"class\",\"nv-background\").append(\"rect\"),Y.append(\"g\").attr(\"class\",\"nv-x nv-axis\"),Y.append(\"g\").attr(\"class\",\"nv-y nv-axis\"),Y.append(\"g\").attr(\"class\",\
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da;da=\"wiggle\"===e.offset()?0:a.utils.calcTicksY(T/36,k),g.scale(d)._ticks(da).tickSize(-S,0)}if(x){l.width(S),X.select(\".nv-focusWrap\").attr(\"transform\",\"translate(0,\"+(T+m.bottom+l.margin().top)+\")\").datum(k.filter(function(a){return!a.disabled})).call(l);var ea=l.brush.empty()?l.xDomain():l.brush.extent();null!==ea&&Q(ea)}else ca.transition().call(e),D(),L();e.dispatch.on(\"areaClick.toggle\",function(a){1===k.filter(function(a){return!a.disabled}).length?k.forEach(function(a){a.disabled=!1}):k.forEach(function(b,c){b.disabled=c!=a.seriesIndex}),B.disabled=k.map(function(a){return!!a.disabled}),E.stateChange(B),b.update()}),h.dispatch.on(\"stateChange\",function(a){for(var c in a)B[c]=a[c];E.stateChange(B),b.update()}),i.dispatch.on(\"legendClick\",function(a,c){a.disabled&&(aa=aa.map(function(a){return a.disabled=!0,a}),a.disabled=!1,e.style(a.style),B.style=e.style(),E.stateChange(B),b.update())}),j.dispatch.on(\"elementMousemove\",function(c){e.clearHighlights();var d,f,g,h=[],i=0,l=!0;if(k.filter(function(a,b){return a.seriesIndex=b,!a.disabled}).forEach(function(j,k){f=a.interactiveBisect(j.values,c.pointXValue,b.x());var m=j.values[f],n=b.y()(m,f);if(null!=n&&e.highlightPoint(k,f,!0),\"undefined\"!=typeof m){\"undefined\"==typeof d&&(d=m),\"undefined\"==typeof g&&(g=b.xScale()(b.x()(m,f)));var o=\"expand\"==e.style()?m.display.y:b.y()(m,f);h.push({key:j.key,value:o,color:q(j,j.seriesIndex),point:m}),z&&\"expand\"!=e.style()&&null!=o&&(i+=o,l=!1)}}),h.reverse(),h.length>2){var m=b.yScale().invert(c.mouseY),n=null;h.forEach(function(a,b){m=Math.abs(m);var c=Math.abs(a.point.display.y0),d=Math.abs(a.point.display.y);return m>=c&&d+c>=m?void(n=b):void 0}),null!=n&&(h[n].highlight=!0)}z&&\"expand\"!=e.style()&&h.length>=2&&!l&&h.push({key:A,value:i,total:!0});var o=b.x()(d,f),p=j.tooltip.valueFormatter();\"expand\"===e.style()||\"stack_percent\"===e.style()?(K||(K=p),p=d3.format(\".1%\")):K&&(p=K,K=null),j.tooltip.valueFormatter(p).data({value:o,series:h})(),j.renderGuideLine(g)}),j.dispatch.on(\"elementMouseout\",function(a){e.clearHighlights()}),\
l.dispatch.on(\"onBrush\",function(a){Q(a)}),E.on(\"changeState\",function(a){\"undefined\"!=typeof a.disabled&&k.length===a.disabled.length&&(k.forEach(function(b,c){b.disabled=a.disabled[c]}),B.disabled=a.disabled),\"undefined\"!=typeof a.style&&(e.style(a.style),M=a.style),b.update()})}),L.renderEnd(\"stacked Area chart immediate\"),b}var c,d,e=a.models.stackedArea(),f=a.models.axis(),g=a.models.axis(),h=a.models.legend(),i=a.models.legend(),j=a.interactiveGuideline(),k=a.models.tooltip(),l=a.models.focus(a.models.stackedArea()),m={top:10,right:25,bottom:50,left:60},n=null,o=null,p=null,q=a.utils.defaultColor(),r=!0,s=!0,t=\"top\",u=!0,v=!0,w=!1,x=!1,y=!1,z=!0,A=\"TOTAL\",B=a.utils.state(),C=null,D=null,E=d3.dispatch(\"stateChange\",\"changeState\",\"renderEnd\"),F=250,G=[\"Stacked\",\"Stream\",\"Expanded\"],H={},I=250;B.style=e.style(),f.orient(\"bottom\").tickPadding(7),g.orient(w?\"right\":\"left\"),k.headerFormatter(function(a,b){return f.tickFormat()(a,b)}).valueFormatter(function(a,b){return g.tickFormat()(a,b)}),j.tooltip.headerFormatter(function(a,b){return f.tickFormat()(a,b)}).valueFormatter(function(a,b){return null==a?\"N/A\":g.tickFormat()(a,b)});var J=null,K=null;i.updateState(!1);var L=a.utils.renderWatch(E),M=e.style(),N=function(a){return function(){return{active:a.map(function(a){return!a.disabled}),style:e.style()}}},O=function(a){return function(b){void 0!==b.style&&(M=b.style),void 0!==b.active&&a.forEach(function(a,c){a.disabled=!b.active[c]})}},P=d3.format(\"%\");return e.dispatch.on(\"elementMouseover.tooltip\",function(a){a.point.x=e.x()(a.point),a.point.y=e.y()(a.point),k.data(a).hidden(!1)}),e.dispatch.on(\"elementMouseout.tooltip\",function(a){k.hidden(!0)}),b.dispatch=E,b.stacked=e,b.legend=h,b.controls=i,b.xAxis=f,b.x2Axis=l.xAxis,b.yAxis=g,b.y2Axis=l.yAxis,b.interactiveLayer=j,b.tooltip=k,b.focus=l,b.dispatch=E,b.options=a.utils.optionsFunc.bind(b),b._options=Object.create({},{width:{get:function(){return o},set:function(a){o=a}},height:{get:function(){return p},set:function(a){p=a}},showLegend:{get:function(){return s},\
set:function(a){s=a}},legendPosition:{get:function(){return t},set:function(a){t=a}},showXAxis:{get:function(){return u},set:function(a){u=a}},showYAxis:{get:function(){return v},set:function(a){v=a}},defaultState:{get:function(){return C},set:function(a){C=a}},noData:{get:function(){return D},set:function(a){D=a}},showControls:{get:function(){return r},set:function(a){r=a}},controlLabels:{get:function(){return H},set:function(a){H=a}},controlOptions:{get:function(){return G},set:function(a){G=a}},showTotalInTooltip:{get:function(){return z},set:function(a){z=a}},totalLabel:{get:function(){return A},set:function(a){A=a}},focusEnable:{get:function(){return x},set:function(a){x=a}},focusHeight:{get:function(){return l.height()},set:function(a){l.height(a)}},brushExtent:{get:function(){return l.brushExtent()},set:function(a){l.brushExtent(a)}},margin:{get:function(){return m},set:function(a){void 0!==a.top&&(m.top=a.top,n=a.top),m.right=void 0!==a.right?a.right:m.right,m.bottom=void 0!==a.bottom?a.bottom:m.bottom,m.left=void 0!==a.left?a.left:m.left}},focusMargin:{get:function(){return l.margin},set:function(a){l.margin.top=void 0!==a.top?a.top:l.margin.top,l.margin.right=void 0!==a.right?a.right:l.margin.right,l.margin.bottom=void 0!==a.bottom?a.bottom:l.margin.bottom,l.margin.left=void 0!==a.left?a.left:l.margin.left}},duration:{get:function(){return I},set:function(a){I=a,L.reset(I),e.duration(I),f.duration(I),g.duration(I)}},color:{get:function(){return q},set:function(b){q=a.utils.getColor(b),h.color(q),e.color(q),l.color(q)}},x:{get:function(){return e.x()},set:function(a){e.x(a),l.x(a)}},y:{get:function(){return e.y()},set:function(a){e.y(a),l.y(a)}},rightAlignYAxis:{get:function(){return w},set:function(a){w=a,g.orient(w?\"right\":\"left\")}},useInteractiveGuideline:{get:function(){return y},set:function(a){y=!!a,b.interactive(!a),b.useVoronoi(!a),e.scatter.interactive(!a)}}}),a.utils.inheritOptions(b,e),a.utils.initOptions(b),b},a.models.stackedAreaWithFocusChart=function(){return a.models.stackedAreaChart().margin({bottom:30}).focusEnable(!0)},\
a.models.sunburst=function(){\"use strict\";function b(a){var b=c(a);return b>90?180:0}function c(a){var b=Math.max(0,Math.min(2*Math.PI,F(a.x))),c=Math.max(0,Math.min(2*Math.PI,F(a.x+a.dx))),d=(b+c)/2*(180/Math.PI)-90;return d}function d(a){var b=Math.max(0,Math.min(2*Math.PI,F(a.x))),c=Math.max(0,Math.min(2*Math.PI,F(a.x+a.dx)));return(c-b)/(2*Math.PI)}function e(a){var b=Math.max(0,Math.min(2*Math.PI,F(a.x))),c=Math.max(0,Math.min(2*Math.PI,F(a.x+a.dx))),d=c-b;return d>z}function f(a,b){var c=d3.interpolate(F.domain(),[l.x,l.x+l.dx]),d=d3.interpolate(G.domain(),[l.y,1]),e=d3.interpolate(G.range(),[l.y?20:0,o]);return 0===b?function(){return J(a)}:function(b){return F.domain(c(b)),G.domain(d(b)).range(e(b)),J(a)}}function g(a){var b=d3.interpolate({x:a.x0,dx:a.dx0,y:a.y0,dy:a.dy0},a);return function(c){var d=b(c);return a.x0=d.x,a.dx0=d.dx,a.y0=d.y,a.dy0=d.dy,J(d)}}function h(a){var b=B(a);I[b]||(I[b]={});var c=I[b];c.dx=a.dx,c.x=a.x,c.dy=a.dy,c.y=a.y}function i(a){a.forEach(function(a){var b=B(a),c=I[b];c?(a.dx0=c.dx,a.x0=c.x,a.dy0=c.dy,a.y0=c.y):(a.dx0=a.dx,a.x0=a.x,a.dy0=a.dy,a.y0=a.y),h(a)})}function j(a){var d=v.selectAll(\"text\"),g=v.selectAll(\"path\");d.transition().attr(\"opacity\",0),l=a,g.transition().duration(D).attrTween(\"d\",f).each(\"end\",function(d){if(d.x>=a.x&&d.x<a.x+a.dx&&d.depth>=a.depth){var f=d3.select(this.parentNode),g=f.select(\"text\");g.transition().duration(D).text(function(a){return y(a)}).attr(\"opacity\",function(a){return e(a)?1:0}).attr(\"transform\",function(){var e=this.getBBox().width;if(0===d.depth)return\"translate(\"+e/2*-1+\",0)\";if(d.depth===a.depth)return\"translate(\"+(G(d.y)+5)+\",0)\";var f=c(d),g=b(d);return 0===g?\"rotate(\"+f+\")translate(\"+(G(d.y)+5)+\",0)\":\"rotate(\"+f+\")translate(\"+(G(d.y)+e+5)+\",0)rotate(\"+g+\")\"})}})}function k(f){return K.reset(),f.each(function(f){v=d3.select(this),m=a.utils.availableWidth(q,v,p),n=a.utils.availableHeight(r,v,p),o=Math.min(m,n)/2,G.range([0,o]);var h=v.select(\"g.nvd3.nv-wrap.nv-sunburst\");h[0][0]?h.attr(\"transform\",\"translate(\"+(m/2+p.left+p.right)+\",\"+(n/2+p.top+p.bottom)+\")\"):h=v.append(\"g\").attr(\"class\",\
\"nvd3 nv-wrap nv-sunburst nv-chart-\"+u).attr(\"transform\",\"translate(\"+(m/2+p.left+p.right)+\",\"+(n/2+p.top+p.bottom)+\")\"),v.on(\"click\",function(a,b){E.chartClick({data:a,index:b,pos:d3.event,id:u})}),H.value(t[s]||t.count);var k=H.nodes(f[0]).reverse();i(k);var l=h.selectAll(\".arc-container\").data(k,B),z=l.enter().append(\"g\").attr(\"class\",\"arc-container\");z.append(\"path\").attr(\"d\",J).style(\"fill\",function(a){return a.color?a.color:w(C?(a.children?a:a.parent).name:a.name)}).style(\"stroke\",\"#FFF\").on(\"click\",function(a,b){j(a),E.elementClick({data:a,index:b})}).on(\"mouseover\",function(a,b){d3.select(this).classed(\"hover\",!0).style(\"opacity\",.8),E.elementMouseover({data:a,color:d3.select(this).style(\"fill\"),percent:d(a)})}).on(\"mouseout\",function(a,b){d3.select(this).classed(\"hover\",!1).style(\"opacity\",1),E.elementMouseout({data:a})}).on(\"mousemove\",function(a,b){E.elementMousemove({data:a})}),l.each(function(a){d3.select(this).select(\"path\").transition().duration(D).attrTween(\"d\",g)}),x&&(l.selectAll(\"text\").remove(),l.append(\"text\").text(function(a){return y(a)}).transition().duration(D).attr(\"opacity\",function(a){return e(a)?1:0}).attr(\"transform\",function(a){var d=this.getBBox().width;if(0===a.depth)return\"rotate(0)translate(\"+d/2*-1+\",0)\";var e=c(a),f=b(a);return 0===f?\"rotate(\"+e+\")translate(\"+(G(a.y)+5)+\",0)\":\"rotate(\"+e+\")translate(\"+(G(a.y)+d+5)+\",0)rotate(\"+f+\")\"})),j(k[k.length-1]),l.exit().transition().duration(D).attr(\"opacity\",0).each(\"end\",function(a){var b=B(a);I[b]=void 0}).remove()}),K.renderEnd(\"sunburst immediate\"),k}var l,m,n,o,p={top:0,right:0,bottom:0,left:0},q=600,r=600,s=\"count\",t={count:function(a){return 1},value:function(a){return a.value||a.size},size:function(a){return a.value||a.size}},u=Math.floor(1e4*Math.random()),v=null,w=a.utils.defaultColor(),x=!1,y=function(a){return\"count\"===s?a.name+\" #\"+a.value:a.name+\" \"+(a.value||a.size)},z=.02,A=function(a,b){return a.name>b.name},B=function(a,b){return a.name},C=!0,D=500,E=d3.dispatch(\"chartClick\",\"elementClick\",\"elementDblClick\",\"elementMousemove\",\
\"elementMouseover\",\"elementMouseout\",\"renderEnd\"),F=d3.scale.linear().range([0,2*Math.PI]),G=d3.scale.sqrt(),H=d3.layout.partition().sort(A),I={},J=d3.svg.arc().startAngle(function(a){return Math.max(0,Math.min(2*Math.PI,F(a.x)))}).endAngle(function(a){return Math.max(0,Math.min(2*Math.PI,F(a.x+a.dx)))}).innerRadius(function(a){return Math.max(0,G(a.y))}).outerRadius(function(a){return Math.max(0,G(a.y+a.dy))}),K=a.utils.renderWatch(E);return k.dispatch=E,k.options=a.utils.optionsFunc.bind(k),k._options=Object.create({},{width:{get:function(){return q},set:function(a){q=a}},height:{get:function(){return r},set:function(a){r=a}},mode:{get:function(){return s},set:function(a){s=a}},id:{get:function(){return u},set:function(a){u=a}},duration:{get:function(){return D},set:function(a){D=a}},groupColorByParent:{get:function(){return C},set:function(a){C=!!a}},showLabels:{get:function(){return x},set:function(a){x=!!a}},labelFormat:{get:function(){return y},set:function(a){y=a}},labelThreshold:{get:function(){return z},set:function(a){z=a}},sort:{get:function(){return A},set:function(a){A=a}},key:{get:function(){return B},set:function(a){B=a}},margin:{get:function(){return p},set:function(a){p.top=void 0!=a.top?a.top:p.top,p.right=void 0!=a.right?a.right:p.right,p.bottom=void 0!=a.bottom?a.bottom:p.bottom,p.left=void 0!=a.left?a.left:p.left}},color:{get:function(){return w},set:function(b){w=a.utils.getColor(b)}}}),a.utils.initOptions(k),k},a.models.sunburstChart=function(){\"use strict\";function b(d){return n.reset(),n.models(c),d.each(function(d){var h=d3.select(this);a.utils.initSVG(h);var i=a.utils.availableWidth(f,h,e),j=a.utils.availableHeight(g,h,e);return b.update=function(){0===l?h.call(b):h.transition().duration(l).call(b)},b.container=h,d&&d.length?(h.selectAll(\".nv-noData\").remove(),c.width(i).height(j).margin(e),void h.call(c)):(a.utils.noData(b,h),b)}),n.renderEnd(\"sunburstChart immediate\"),b}var c=a.models.sunburst(),d=a.models.tooltip(),e={top:30,right:20,bottom:20,left:20},f=null,g=null,h=a.utils.defaultColor(),\
i=!1,j=(Math.round(1e5*Math.random()),null),k=null,l=250,m=d3.dispatch(\"stateChange\",\"changeState\",\"renderEnd\"),n=a.utils.renderWatch(m);return d.duration(0).headerEnabled(!1).valueFormatter(function(a){return a}),c.dispatch.on(\"elementMouseover.tooltip\",function(a){a.series={key:a.data.name,value:a.data.value||a.data.size,color:a.color,percent:a.percent},i||(delete a.percent,delete a.series.percent),d.data(a).hidden(!1)}),c.dispatch.on(\"elementMouseout.tooltip\",function(a){d.hidden(!0)}),c.dispatch.on(\"elementMousemove.tooltip\",function(a){d()}),b.dispatch=m,b.sunburst=c,b.tooltip=d,b.options=a.utils.optionsFunc.bind(b),b._options=Object.create({},{noData:{get:function(){return k},set:function(a){k=a}},defaultState:{get:function(){return j},set:function(a){j=a}},showTooltipPercent:{get:function(){return i},set:function(a){i=a}},color:{get:function(){return h},set:function(a){h=a,c.color(h)}},duration:{get:function(){return l},set:function(a){l=a,n.reset(l),c.duration(l)}},margin:{get:function(){return e},set:function(a){e.top=void 0!==a.top?a.top:e.top,e.right=void 0!==a.right?a.right:e.right,e.bottom=void 0!==a.bottom?a.bottom:e.bottom,e.left=void 0!==a.left?a.left:e.left,c.margin(e)}}}),a.utils.inheritOptions(b,c),a.utils.initOptions(b),b},a.version=\"1.8.5\"}();\
")
################################################################################
# end nvd3.js
################################################################################
################################################################################
# d3.js
#
# The following is a copy of the d3 3.5.17 js file. Note that we write it
# to the file in multiple steps, because CMake exhausts its stack memory when
# parsing too long strings.
# https://github.com/mbostock/d3
################################################################################
file(WRITE "${METABENCH_DIR}/d3.js" "\
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################################################################################
# end d3.js
################################################################################
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/cmake | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/cmake/googletest/CMakeLists.txt.in | # from https://github.com/google/googletest/blob/master/googletest/README.md
cmake_minimum_required(VERSION 3.0)
project(googletest-download NONE)
include(ExternalProject)
ExternalProject_Add(googletest
GIT_REPOSITORY https://github.com/google/googletest.git
GIT_TAG main
SOURCE_DIR "${CMAKE_CURRENT_BINARY_DIR}/googletest-src"
BINARY_DIR "${CMAKE_CURRENT_BINARY_DIR}/googletest-build"
CONFIGURE_COMMAND ""
BUILD_COMMAND ""
INSTALL_COMMAND ""
TEST_COMMAND ""
)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_extents_type_check.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
namespace stdex = std::experimental;
using E1 = stdex::extents<int32_t, stdex::dynamic_extent, 3>;
MDSPAN_STATIC_TEST(
std::is_same<typename E1::index_type, int32_t>::value &&
std::is_same<typename E1::size_type, uint32_t>::value &&
std::is_same<typename E1::rank_type, size_t>::value &&
std::is_same<decltype(E1::rank()), typename E1::rank_type>::value &&
std::is_same<decltype(E1::rank_dynamic()), typename E1::rank_type>::value &&
std::is_same<decltype(E1::static_extent(0)), size_t>::value &&
std::is_same<decltype(E1::static_extent(1)), size_t>::value &&
std::is_same<decltype(std::declval<E1>().extent(0)), typename E1::index_type>::value &&
std::is_same<decltype(std::declval<E1>().extent(1)), typename E1::index_type>::value &&
(E1::rank()==2) &&
(E1::rank_dynamic()==1) &&
(E1::static_extent(0) == stdex::dynamic_extent) &&
(E1::static_extent(1) == 3)
);
using E2 = stdex::extents<int64_t, stdex::dynamic_extent, 3, stdex::dynamic_extent>;
MDSPAN_STATIC_TEST(
std::is_same<typename E2::index_type, int64_t>::value &&
std::is_same<typename E2::size_type, uint64_t>::value &&
std::is_same<typename E2::rank_type, size_t>::value &&
std::is_same<decltype(E2::rank()), typename E2::rank_type>::value &&
std::is_same<decltype(E2::rank_dynamic()), typename E2::rank_type>::value &&
std::is_same<decltype(E2::static_extent(0)), size_t>::value &&
std::is_same<decltype(E2::static_extent(1)), size_t>::value &&
std::is_same<decltype(E2::static_extent(2)), size_t>::value &&
std::is_same<decltype(std::declval<E2>().extent(0)), typename E2::index_type>::value &&
std::is_same<decltype(std::declval<E2>().extent(1)), typename E2::index_type>::value &&
std::is_same<decltype(std::declval<E2>().extent(2)), typename E2::index_type>::value &&
(E2::rank()==3) &&
(E2::rank_dynamic()==2) &&
(E2::static_extent(0) == stdex::dynamic_extent) &&
(E2::static_extent(1) == 3) &&
(E2::static_extent(2) == stdex::dynamic_extent)
);
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_common.hpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "experimental/__p0009_bits/macros.hpp"
#include <type_traits>
#include <cassert>
#pragma once
#define MDSPAN_ENABLE_EXPENSIVE_COMPILATION_TESTS 0
#define MDSPAN_STATIC_TEST(...) \
static_assert(__VA_ARGS__, "MDSpan compile time test failed at " __FILE__ ":" MDSPAN_PP_STRINGIFY(__LINE__))
//==============================================================================
// <editor-fold desc="assert-like macros that don't break constexpr"> {{{1
// The basic idea: if we do something in a constexpr context that's not allowed
// (like access an array out of bounds), the compiler should give us an error.
// At least in the case of clang, that error is descriptive enough to see what's
// going on if we're careful with how we do things.
#if _MDSPAN_USE_CONSTEXPR_14
// A nice marker in the compiler output. Also, use std::is_constant_evaluated if we have it
#if __cpp_lib_is_constant_evaluated > 201811
# define __________CONSTEXPR_ASSERTION_FAILED__________ \
/* do something we can't do in constexpr like access an array out of bounds */ \
if(std::is_constant_evaluated()) return __str[-!(checker(__val, _exp))]; \
else { assert(checker(__val, _exp) && __str); return 0; }
#else
# define __________CONSTEXPR_ASSERTION_FAILED__________ \
/* try to protect from bad memory access... */ \
char a[] = { 0 }; char b[] = { 0 }; char c[] = { 0 }; \
return b[(a[0] + c[0] + -!(checker(__val, _exp)))];
#endif
// More sugar around the compiler output to print some values of things
struct _____constexpr_assertion_failed_ {
const char* _expr_string;
template <class T, class F>
struct _expected_impl {
T _exp;
F checker;
const char* __str;
template <class U>
constexpr char but_actual_value_was_(U __val) const {
// Put this macro here so that failures are easy to find in compiler output
__________CONSTEXPR_ASSERTION_FAILED__________
}
};
struct _check_eq {
template <class T, class U>
constexpr bool operator()(T val, U exp) const { return val == exp; }
};
struct _check_not_eq {
template <class T, class U>
constexpr bool operator()(T val, U exp) const { return val != exp; }
};
struct _check_less {
template <class T, class U>
constexpr bool operator()(T val, U exp) const { return val != exp; }
};
struct _check_greater {
template <class T, class U>
constexpr bool operator()(T val, U exp) const { return val != exp; }
};
template <class T>
constexpr auto _expected_to_be_true() const {
return _expected_impl<T, _check_eq>{true, _check_eq{}, _expr_string};
}
template <class T>
constexpr auto _rhs_expected_to_be_(T _exp) const {
return _expected_impl<T, _check_eq>{_exp, _check_eq{}, _expr_string};
}
template <class T>
constexpr auto _rhs_expected_to_not_be_(T _exp) const {
return _expected_impl<T, _check_not_eq>{_exp, _check_not_eq{}, _expr_string};
}
template <class T>
constexpr auto _expected_to_be_less_than_(T _exp) const {
return _expected_impl<T, _check_less>{_exp, _check_less{}, _expr_string};
}
template <class T>
constexpr auto _expected_to_be_greater_than_(T _exp) const {
return _expected_impl<T, _check_greater>{_exp, _check_greater{}, _expr_string};
}
};
// Macros for the assertions themselves
#define constexpr_assert(...) \
_____constexpr_assertion_failed_{#__VA_ARGS__}._expected_to_be_(true).but_actual_value_was_(__VA_ARGS__);
#define constexpr_assert_equal(expr, ...) \
_____constexpr_assertion_failed_{#__VA_ARGS__ "==" #expr}._rhs_expected_to_be_(expr).but_actual_value_was_((__VA_ARGS__));
#define constexpr_assert_not_equal(expr, ...) \
_____constexpr_assertion_failed_{#__VA_ARGS__ "!=" #expr}._rhs_expected_to_not_be_(expr).but_actual_value_was_((__VA_ARGS__));
#define constexpr_assert_less_than(expr, ...) \
_____constexpr_assertion_failed_{#__VA_ARGS__}._expected_to_be_less_than_(expr).but_actual_value_was_((__VA_ARGS__));
#define constexpr_assert_greater_than(expr, ...) \
_____constexpr_assertion_failed_{#__VA_ARGS__}._expected_to_be_greater_than_(expr).but_actual_value_was_((__VA_ARGS__));
#endif // _MDSPAN_USE_CONSTEXPR_14
// </editor-fold> end assert-like macros that don't break constexpr }}}1
//==============================================================================
// All tests need a main so that they'll link
int main() { }
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_compressed_pair_layout.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2020) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
#include <type_traits>
namespace stdex = std::experimental;
enum emptyness {
non_empty = false,
empty = true
};
enum standard_layoutness {
non_standard_layout = false,
standard_layout = true
};
enum trivially_copyableness {
non_trivially_copyable = false,
trivially_copyable = true
};
template <class T, size_t Size,
emptyness Empty = non_empty,
standard_layoutness StandardLayout = standard_layout,
trivially_copyableness TriviallyCopyable = trivially_copyable>
void test() {
MDSPAN_STATIC_TEST(sizeof(T) == Size);
MDSPAN_STATIC_TEST(std::is_empty<T>::value == Empty);
#if !defined(__INTEL_COMPILER) || (__INTEL_COMPILER>=1900)
MDSPAN_STATIC_TEST(std::is_standard_layout<T>::value == StandardLayout);
#endif
MDSPAN_STATIC_TEST(std::is_trivially_copyable<T>::value == TriviallyCopyable);
}
template <class T, class U>
using CP = stdex::detail::__compressed_pair<T, U>;
struct E0 {};
struct E1 {};
struct E2 {};
struct E3 {};
void instantiate_tests() {
//==============================================================================
// <editor-fold desc="compressed pair layout: 2 leaf elements"> {{{1
#ifdef _MDSPAN_COMPILER_MSVC
test<CP<E0, E0>, 1, empty, non_standard_layout>();
test<CP<E0, E1>, 1, empty, standard_layout>();
#else
test<CP<E0, E0>, 2, empty>();
test<CP<E0, E1>, 1, empty>();
#endif
test<CP<int*, E1>, sizeof(int*), non_empty>();
test<CP<E0, int*>, sizeof(int*), non_empty>();
test<CP<int*, int*>, 2 * sizeof(int*), non_empty>();
// </editor-fold> end compressed pair layout: 2 leaf elements }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="compressed pair layout: 1 nested pair, 3 leaf element"> {{{1
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
test<CP<E0, CP<E0, E0>>, 3, empty>(); // Emulation can't handle this correctly.
#endif
#ifdef _MDSPAN_COMPILER_MSVC
test<CP<E0, CP<E1, E2>>, 2, empty>();
#else
test<CP<E0, CP<E1, E2>>, 1, empty>();
#endif
test<CP<E0, CP<E1, int*>>, sizeof(int*), non_empty>();
test<CP<E0, CP<int*, E2>>, sizeof(int*), non_empty>();
test<CP<E0, CP<int*, int*>>, 2 * sizeof(int*), non_empty>();
#ifdef _MDSPAN_COMPILER_MSVC
test<CP<int*, CP<E1, E2>>, 2 * sizeof(int*), non_empty>();
#else
test<CP<int*, CP<E1, E2>>, sizeof(int*), non_empty>();
#endif
test<CP<int*, CP<E1, int*>>, 2 * sizeof(int*), non_empty>();
test<CP<int*, CP<int*, E2>>, 2 * sizeof(int*), non_empty>();
test<CP<int*, CP<int*, int*>>, 3 * sizeof(int*), non_empty>();
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
test<CP<CP<E0, E0>, E0>, 3, empty>(); // Emulation can't handle this correctly.
#endif
#ifdef _MDSPAN_COMPILER_MSVC
test<CP<CP<E0, E1>, E2>, 2, empty>();
test<CP<CP<E0, E1>, int*>, 2 * sizeof(int*), non_empty>();
#else
test<CP<CP<E0, E1>, E2>, 1, empty>();
test<CP<CP<E0, E1>, int*>, sizeof(int*), non_empty>();
#endif
test<CP<CP<E0, int*>, E2>, sizeof(int*), non_empty>();
test<CP<CP<E0, int*>, int*>, 2 * sizeof(int*), non_empty>();
test<CP<CP<int*, E1>, E2>, sizeof(int*), non_empty>();
test<CP<CP<int*, E1>, int*>, 2 * sizeof(int*), non_empty>();
test<CP<CP<int*, int*>, E2>, 2 * sizeof(int*), non_empty>();
test<CP<CP<int*, int*>, int*>, 3 * sizeof(int*), non_empty>();
// </editor-fold> end compressed pair layout: 1 nested pair, 3 leaf element }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="compressed pair layout: 2 nested pairs, 4 leaf element"> {{{1
#if defined(_MDSPAN_USE_ATTRIBUTE_NO_UNIQUE_ADDRESS)
test<CP<CP<E0, E0>, CP<E0, E0>>, 4, empty>(); // Emulation can't handle this correctly.
#endif
#ifdef _MDSPAN_COMPILER_MSVC
test<CP<CP<E0, E1>, CP<E2, E3>>, 3, empty>();
test<CP<CP<E0, E1>, CP<E2, int*>>, 2 * sizeof(int*), non_empty>();
test<CP<CP<E0, E1>, CP<int*, E3>>, 2 * sizeof(int*), non_empty>();
test<CP<CP<E0, E1>, CP<int*, int*>>, 3 * sizeof(int*), non_empty>();
#else
test<CP<CP<E0, E1>, CP<E2, E3>>, 1, empty>();
test<CP<CP<E0, E1>, CP<E2, int*>>, sizeof(int*), non_empty>();
test<CP<CP<E0, E1>, CP<int*, E3>>, sizeof(int*), non_empty>();
test<CP<CP<E0, E1>, CP<int*, int*>>, 2 * sizeof(int*), non_empty>();
#endif
test<CP<CP<E0, int*>, CP<E2, int*>>, 2 * sizeof(int*), non_empty>();
test<CP<CP<E0, int*>, CP<int*, E3>>, 2 * sizeof(int*), non_empty>();
test<CP<CP<E0, int*>, CP<int*, int*>>, 3 * sizeof(int*), non_empty>();
test<CP<CP<int*, E1>, CP<E2, int*>>, 2 * sizeof(int*), non_empty>();
test<CP<CP<int*, E1>, CP<int*, E3>>, 2 * sizeof(int*), non_empty>();
test<CP<CP<int*, E1>, CP<int*, int*>>, 3 * sizeof(int*), non_empty>();
test<CP<CP<int*, int*>, CP<E2, int*>>, 3 * sizeof(int*), non_empty>();
test<CP<CP<int*, int*>, CP<int*, E3>>, 3 * sizeof(int*), non_empty>();
test<CP<CP<int*, int*>, CP<int*, int*>>, 4 * sizeof(int*), non_empty>();
// </editor-fold> end compressed pair layout: 2 nested pairs, 4 leaf elements }}}1
//==============================================================================
}
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/CMakeLists.txt |
macro(add_compilation_test name)
if(MDSPAN_TEST_LANGUAGE)
set_source_files_properties(${name} PROPERTIES LANGUAGE ${MDSPAN_TEST_LANGUAGE})
endif()
add_executable(${name} ${name}.cpp)
target_link_libraries(${name} mdspan)
endmacro()
add_compilation_test(ctest_constructor_sfinae)
add_compilation_test(ctest_extents_ctors)
add_compilation_test(ctest_extents_type_check)
add_compilation_test(ctest_layout_convertible)
add_compilation_test(ctest_mdspan_convertible)
add_compilation_test(ctest_standard_layout)
add_compilation_test(ctest_trivially_copyable)
if(NOT MDSPAN_ENABLE_CUDA)
add_compilation_test(ctest_no_unique_address)
add_compilation_test(ctest_compressed_pair_layout)
endif()
add_compilation_test(ctest_constexpr_dereference)
add_compilation_test(ctest_constexpr_submdspan)
add_compilation_test(ctest_constexpr_layouts)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_no_unique_address.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2020) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
#include <type_traits>
namespace stdex = std::experimental;
//==============================================================================
// <editor-fold desc="extents"> {{{1
MDSPAN_STATIC_TEST(
sizeof(stdex::extents<size_t,1, 2, stdex::dynamic_extent>) == sizeof(ptrdiff_t)
);
MDSPAN_STATIC_TEST(
sizeof(stdex::extents<size_t,stdex::dynamic_extent>) == sizeof(ptrdiff_t)
);
MDSPAN_STATIC_TEST(
sizeof(stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>) == 2 * sizeof(ptrdiff_t)
);
MDSPAN_STATIC_TEST(
sizeof(stdex::extents<size_t,stdex::dynamic_extent, 1, 2, 45>) == sizeof(ptrdiff_t)
);
MDSPAN_STATIC_TEST(
sizeof(stdex::extents<size_t,45, stdex::dynamic_extent, 1>) == sizeof(ptrdiff_t)
);
MDSPAN_STATIC_TEST(
std::is_empty<stdex::extents<size_t,1, 2, 3>>::value
);
MDSPAN_STATIC_TEST(
std::is_empty<stdex::extents<size_t,42>>::value
);
// </editor-fold> end extents }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="layouts"> {{{1
MDSPAN_STATIC_TEST(
sizeof(stdex::layout_left::template mapping<
stdex::extents<size_t,42, stdex::dynamic_extent, 73>
>) == sizeof(size_t)
);
#if defined(__GNUC__) && (__GNUC__>8)
MDSPAN_STATIC_TEST(
std::is_empty<stdex::layout_right::template mapping<
stdex::extents<size_t,42, 123, 73>
>>::value
);
#endif
MDSPAN_STATIC_TEST(
sizeof(stdex::layout_stride::template mapping<
stdex::extents<size_t,42, stdex::dynamic_extent, 73>
>) == 4 * sizeof(size_t)
);
// </editor-fold> end layouts }}}1
//==============================================================================
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_trivially_copyable.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2020) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
#include <type_traits>
namespace stdex = std::experimental;
//==============================================================================
// <editor-fold desc="helper utilities"> {{{1
MDSPAN_STATIC_TEST(
!std::is_base_of<stdex::extents<int, 1, 2, 3>, stdex::detail::__partially_static_sizes<int, size_t, 1, 2, 3>>::value
);
MDSPAN_STATIC_TEST(
!std::is_base_of<stdex::detail::__partially_static_sizes<int, size_t, 1, 2, 3>, stdex::extents<int, 1, 2, 3>>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::detail::__partially_static_sizes<int, size_t, 1, 2, 3>
>::value
);
// </editor-fold> end helper utilities }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="extents"> {{{1
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::extents<size_t,1, 2, stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::extents<size_t,stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::extents<size_t,stdex::dynamic_extent, 1, 2, 45>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::extents<size_t,45, stdex::dynamic_extent, 1>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::extents<size_t,1, 2, 3>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::extents<size_t,42>
>::value
);
// </editor-fold> end extents }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="layouts"> {{{1
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::layout_left::template mapping<
stdex::extents<size_t,42, stdex::dynamic_extent, 73>
>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::layout_right::template mapping<
stdex::extents<size_t,42, stdex::dynamic_extent, 73>
>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::layout_right::template mapping<
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>
>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::layout_stride::template mapping<
stdex::extents<size_t,42, stdex::dynamic_extent, 73>
>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::layout_stride::template mapping<
stdex::extents<size_t,42, 27, 73>
>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::layout_stride::template mapping<
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>
>
>::value
);
struct layout_stride_as_member_should_be_standard_layout :
stdex::layout_stride::template mapping<
stdex::extents<size_t,1, 2, 3>
>
{
int foo;
};
// Fails with MSVC which adds some padding
#ifndef _MDSPAN_COMPILER_MSVC
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<layout_stride_as_member_should_be_standard_layout>::value
);
#endif
// </editor-fold> end layouts }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="mdspan"> {{{1
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::mdspan<double, stdex::extents<size_t,1, 2, 3>>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::mdspan<int, stdex::dextents<size_t,2>>
>::value
);
MDSPAN_STATIC_TEST(
std::is_trivially_copyable<
stdex::mdspan<
double, stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>,
stdex::layout_left, stdex::default_accessor<double>
>
>::value
);
// </editor-fold> end mdspan }}}1
//==============================================================================
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_standard_layout.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2020) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
#include <type_traits>
namespace stdex = std::experimental;
//==============================================================================
// <editor-fold desc="helper utilities"> {{{1
MDSPAN_STATIC_TEST(
!std::is_base_of<stdex::extents<int, 1, 2, 3>, stdex::detail::__partially_static_sizes<int, size_t, 1, 2, 3>>::value
);
MDSPAN_STATIC_TEST(
!std::is_base_of<stdex::detail::__partially_static_sizes<int, size_t, 1, 2, 3>, stdex::extents<int, 1, 2, 3>>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::detail::__partially_static_sizes<int, size_t, 1, 2, 3>
>::value
);
// </editor-fold> end helper utilities }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="extents"> {{{1
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::extents<size_t,1, 2, stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::extents<size_t,stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::extents<size_t,stdex::dynamic_extent, 1, 2, 45>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::extents<size_t,45, stdex::dynamic_extent, 1>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::extents<size_t,1, 2, 3>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::extents<size_t,42>
>::value
);
// </editor-fold> end extents }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="layouts"> {{{1
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::layout_left::template mapping<
stdex::extents<size_t,42, stdex::dynamic_extent, 73>
>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::layout_right::template mapping<
stdex::extents<size_t,42, stdex::dynamic_extent, 73>
>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::layout_right::template mapping<
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>
>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::layout_stride::template mapping<
stdex::extents<size_t,42, stdex::dynamic_extent, 73>
>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::layout_stride::template mapping<
stdex::extents<size_t,42, 27, 73>
>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::layout_stride::template mapping<
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>
>
>::value
);
// TODO: Remove this test altogether?
// CT: Fails with GCC too after I removed the template parameter
// I guess there is padding added after foo?
#if 0
struct layout_stride_as_member_should_be_standard_layout :
stdex::layout_stride::template mapping<
stdex::extents<size_t,1, 2, 3>>
{
int foo;
};
// Fails with MSVC which adds some padding
#ifndef _MDSPAN_COMPILER_MSVC
MDSPAN_STATIC_TEST(
std::is_standard_layout<layout_stride_as_member_should_be_standard_layout>::value
);
#endif
#endif
// </editor-fold> end layouts }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="mdspan"> {{{1
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::mdspan<double, stdex::extents<size_t,1, 2, 3>>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::mdspan<int, stdex::dextents<size_t,2>>
>::value
);
MDSPAN_STATIC_TEST(
std::is_standard_layout<
stdex::mdspan<
double, stdex::dextents<size_t,2>,
stdex::layout_left, stdex::default_accessor<double>
>
>::value
);
// </editor-fold> end mdspan }}}1
//==============================================================================
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_layout_convertible.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
namespace stdex = std::experimental;
struct NotARealLayout {
template<class Extents>
struct mapping {
using extents_type = Extents;
using rank_type = typename extents_type::rank_type;
using index_type = typename extents_type::index_type;
using layout_type = NotARealLayout;
constexpr extents_type& extents() const { return ext; }
template<class ... Idx>
index_type operator()(Idx ...) const { return 0; }
index_type required_span_size() const { return 0; }
index_type stride(rank_type) const { return 1; }
private:
extents_type ext;
};
};
template<bool unique>
struct AStridedLayout {
template<class Extents>
struct mapping {
using extents_type = Extents;
using rank_type = typename extents_type::rank_type;
using index_type = typename extents_type::index_type;
using layout_type = AStridedLayout;
constexpr extents_type& extents() const { return ext; }
template<class ... Idx>
index_type operator()(Idx ...) const { return 0; }
index_type required_span_size() const { return 0; }
index_type stride(rank_type) const { return 1; }
constexpr static bool is_always_strided() { return true; }
constexpr static bool is_always_unique() { return unique; }
constexpr static bool is_always_exhaustive() { return true; }
constexpr bool is_strided() { return true; }
constexpr bool is_unique() { return unique; }
constexpr bool is_exhaustive() { return true; }
private:
extents_type ext;
};
};
using E1 = stdex::extents<int32_t, 2,2>;
using E2 = stdex::extents<int64_t, 2,2>;
using LS1 = stdex::layout_stride::mapping<E1>;
using LS2 = stdex::layout_stride::mapping<E2>;
MDSPAN_STATIC_TEST(
!std::is_constructible<LS1, AStridedLayout<false>::mapping<E2>>::value &&
!std::is_convertible<AStridedLayout<false>::mapping<E2>, LS1>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<LS2, AStridedLayout<true>::mapping<E1>>::value &&
std::is_convertible<AStridedLayout<true>::mapping<E1>, LS2>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<LS1, NotARealLayout::mapping<E2>>::value
);
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_constexpr_layouts.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
namespace stdex = std::experimental;
// Only works with newer constexpr
#if defined(_MDSPAN_USE_CONSTEXPR_14) && _MDSPAN_USE_CONSTEXPR_14
constexpr std::ptrdiff_t
layout_stride_simple(int i) {
using map_t = stdex::layout_stride::template mapping<
stdex::extents<size_t,3>
>;
return map_t(stdex::extents<size_t,3>{}, std::array<size_t,1>{1})(i);
}
MDSPAN_STATIC_TEST(
layout_stride_simple(0) == 0
);
MDSPAN_STATIC_TEST(
layout_stride_simple(1) == 1
);
#endif // _MDSPAN_USE_CONSTEXPR_14
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_extents_ctors.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
namespace stdex = std::experimental;
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::extents<size_t,1, 2, stdex::dynamic_extent>,
int
>::value
);
MDSPAN_STATIC_TEST(
std::is_copy_constructible<
stdex::extents<size_t,1, 2, stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_copy_constructible<
stdex::extents<size_t,1, 2>
>::value
);
MDSPAN_STATIC_TEST(
std::is_copy_constructible<
stdex::extents<size_t,stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_move_constructible<
stdex::extents<size_t,1, 2, stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_default_constructible<
stdex::extents<size_t,1, 2, 3>
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent, stdex::dynamic_extent>,
int, int, int
>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent, stdex::dynamic_extent>,
int, int
>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent, stdex::dynamic_extent>,
int
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent, stdex::dynamic_extent>,
stdex::extents<size_t,stdex::dynamic_extent, 2, 3>
>::value
);
MDSPAN_STATIC_TEST(
std::is_convertible<
stdex::extents<size_t,2, 3>,
stdex::extents<size_t,2, stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
!std::is_convertible<
stdex::extents<size_t,3, 2>,
stdex::extents<size_t,2, stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::extents<size_t,2, stdex::dynamic_extent>,
stdex::extents<size_t,2, 3>
>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::extents<size_t,3, stdex::dynamic_extent>,
stdex::extents<size_t,2, 3>
>::value
);
MDSPAN_STATIC_TEST(
std::is_assignable<
stdex::extents<size_t,2, stdex::dynamic_extent>,
stdex::extents<size_t,2, 3>
>::value
);
MDSPAN_STATIC_TEST(
std::is_same<
stdex::dextents<size_t,0>,
stdex::extents<size_t>
>::value
);
MDSPAN_STATIC_TEST(
std::is_same<
stdex::dextents<size_t,1>,
stdex::extents<size_t,stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_same<
stdex::dextents<size_t,2>,
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>
>::value
);
MDSPAN_STATIC_TEST(
std::is_same<
stdex::dextents<size_t,3>,
stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent, stdex::dynamic_extent>
>::value
);
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_constexpr_submdspan.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
namespace stdex = ::std::experimental;
// Only works with newer constexpr
#if defined(_MDSPAN_USE_CONSTEXPR_14) && _MDSPAN_USE_CONSTEXPR_14
//==============================================================================
// <editor-fold desc="1D dynamic extent ptrdiff_t submdspan"> {{{1
template<class Layout>
constexpr bool
dynamic_extent_1d() {
int data[] = {1, 2, 3, 4, 5};
auto s = stdex::mdspan<int, stdex::dextents<size_t,1>, Layout>(data, 5);
int result = 0;
for (size_t i = 0; i < s.extent(0); ++i) {
auto ss = stdex::submdspan(s, i);
result += __MDSPAN_OP0(ss);
}
// 1 + 2 + 3 + 4 + 5
constexpr_assert_equal(15, result);
return result == 15;
}
MDSPAN_STATIC_TEST(dynamic_extent_1d<stdex::layout_left>());
MDSPAN_STATIC_TEST(dynamic_extent_1d<stdex::layout_right>());
// </editor-fold> end 1D dynamic extent ptrdiff_t submdspan }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="1D dynamic extent all submdspan"> {{{1
template<class Layout>
constexpr bool
dynamic_extent_1d_all_slice() {
int data[] = {1, 2, 3, 4, 5};
auto s = stdex::mdspan<
int, stdex::extents<size_t,stdex::dynamic_extent>, Layout>(data, 5);
int result = 0;
auto ss = stdex::submdspan(s, stdex::full_extent);
for (size_t i = 0; i < s.extent(0); ++i) {
result += __MDSPAN_OP(ss, i);
}
// 1 + 2 + 3 + 4 + 5
constexpr_assert_equal(15, result);
return result == 15;
}
MDSPAN_STATIC_TEST(dynamic_extent_1d_all_slice<stdex::layout_left>());
MDSPAN_STATIC_TEST(dynamic_extent_1d_all_slice<stdex::layout_right>());
// </editor-fold> end 1D dynamic extent all submdspan }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="1D dynamic extent pair slice"> {{{1
template<class Layout>
constexpr bool
dynamic_extent_1d_pair_full() {
int data[] = {1, 2, 3, 4, 5};
auto s = stdex::mdspan<
int, stdex::extents<size_t,stdex::dynamic_extent>, Layout>(data, 5);
int result = 0;
auto ss = stdex::submdspan(s, std::pair<std::ptrdiff_t, std::ptrdiff_t>{0, 5});
for (size_t i = 0; i < s.extent(0); ++i) {
result += __MDSPAN_OP(ss, i);
}
constexpr_assert_equal(15, result);
return result == 15;
}
MDSPAN_STATIC_TEST(dynamic_extent_1d_pair_full<stdex::layout_left>());
MDSPAN_STATIC_TEST(dynamic_extent_1d_pair_full<stdex::layout_right>());
template<class Layout>
constexpr bool
dynamic_extent_1d_pair_each() {
int data[] = {1, 2, 3, 4, 5};
auto s = stdex::mdspan<
int, stdex::extents<size_t,stdex::dynamic_extent>, Layout>(data, 5);
int result = 0;
for (size_t i = 0; i < s.extent(0); ++i) {
auto ss = stdex::submdspan(s,
std::pair<std::ptrdiff_t, std::ptrdiff_t>{i, i+1});
result += __MDSPAN_OP(ss, 0);
}
constexpr_assert_equal(15, result);
return result == 15;
}
// MSVC ICE
#ifndef _MDSPAN_COMPILER_MSVC
MDSPAN_STATIC_TEST(dynamic_extent_1d_pair_each<stdex::layout_left>());
MDSPAN_STATIC_TEST(dynamic_extent_1d_pair_each<stdex::layout_right>());
#endif
// </editor-fold> end 1D dynamic extent pair slice submdspan }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="1D dynamic extent pair, all, ptrdiff_t slice"> {{{1
template<class Layout>
constexpr bool
dynamic_extent_1d_all_three() {
int data[] = {1, 2, 3, 4, 5};
auto s = stdex::mdspan<
int, stdex::extents<size_t,stdex::dynamic_extent>, Layout>(data, 5);
auto s1 = stdex::submdspan(s, std::pair<std::ptrdiff_t, std::ptrdiff_t>{0, 5});
auto s2 = stdex::submdspan(s1, stdex::full_extent);
int result = 0;
for (size_t i = 0; i < s.extent(0); ++i) {
auto ss = stdex::submdspan(s2, i);
result += __MDSPAN_OP0(ss);
}
constexpr_assert_equal(15, result);
return result == 15;
}
// MSVC ICE
#ifndef _MDSPAN_COMPILER_MSVC
MDSPAN_STATIC_TEST(dynamic_extent_1d_all_three<stdex::layout_left>());
MDSPAN_STATIC_TEST(dynamic_extent_1d_all_three<stdex::layout_right>());
#endif
// </editor-fold> end 1D dynamic extent pair, all, ptrdifft slice }}}1
//==============================================================================
template<class Layout>
constexpr bool
dynamic_extent_2d_idx_idx() {
int data[] = { 1, 2, 3, 4, 5, 6 };
auto s = stdex::mdspan<
int, stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>, Layout>(
data, 2, 3);
int result = 0;
for(size_t row = 0; row < s.extent(0); ++row) {
for(size_t col = 0; col < s.extent(1); ++col) {
auto ss = stdex::submdspan(s, row, col);
result += __MDSPAN_OP0(ss);
}
}
constexpr_assert_equal(21, result);
return result == 21;
}
MDSPAN_STATIC_TEST(dynamic_extent_2d_idx_idx<stdex::layout_left>());
MDSPAN_STATIC_TEST(dynamic_extent_2d_idx_idx<stdex::layout_right>());
template<class Layout>
constexpr bool
dynamic_extent_2d_idx_all_idx() {
int data[] = { 1, 2, 3, 4, 5, 6 };
auto s = stdex::mdspan<
int, stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>, Layout>(
data, 2, 3);
int result = 0;
for(size_t row = 0; row < s.extent(0); ++row) {
auto srow = stdex::submdspan(s, row, stdex::full_extent);
for(size_t col = 0; col < s.extent(1); ++col) {
auto scol = stdex::submdspan(srow, col);
constexpr_assert_equal(__MDSPAN_OP0(scol), __MDSPAN_OP(srow, col));
result += __MDSPAN_OP0(scol);
}
}
constexpr_assert_equal(21, result);
return result == 21;
}
// MSVC ICE
#ifndef _MDSPAN_COMPILER_MSVC
MDSPAN_STATIC_TEST(dynamic_extent_2d_idx_all_idx<stdex::layout_left>());
MDSPAN_STATIC_TEST(dynamic_extent_2d_idx_all_idx<stdex::layout_right>());
#endif
//==============================================================================
constexpr int
simple_static_submdspan_test_1(int add_to_row) {
int data[] = {
1, 2, 3,
4, 5, 6,
7, 8, 9
};
auto s = stdex::mdspan<int, stdex::extents<size_t,3, 3>>(data);
int result = 0;
for(int col = 0; col < 3; ++col) {
auto scol = stdex::submdspan(s, stdex::full_extent, col);
for(int row = 0; row < 3; ++row) {
auto srow = stdex::submdspan(scol, row);
result += __MDSPAN_OP0(srow) * (row + add_to_row);
}
}
return result;
}
// MSVC ICE
#if !defined(_MDSPAN_COMPILER_MSVC) && (!defined(__GNUC__) || (__GNUC__>=6 && __GNUC_MINOR__>=4))
MDSPAN_STATIC_TEST(
// 1 + 2 + 3 + 2*(4 + 5 + 6) + 3*(7 + 8 + 9) = 108
simple_static_submdspan_test_1(1) == 108
);
MDSPAN_STATIC_TEST(
// -1 - 2 - 3 + 7 + 8 + 9 = 18
simple_static_submdspan_test_1(-1) == 18
);
MDSPAN_STATIC_TEST(
// -1 - 2 - 3 + 7 + 8 + 9 = 18
stdex::mdspan<double, stdex::extents<size_t,simple_static_submdspan_test_1(-1)>>{nullptr}.extent(0) == 18
);
#endif
//==============================================================================
constexpr bool
mixed_submdspan_left_test_2() {
int data[] = {
1, 4, 7,
2, 5, 8,
3, 6, 9,
0, 0, 0,
0, 0, 0
};
auto s = stdex::mdspan<int,
stdex::extents<size_t,3, stdex::dynamic_extent>, stdex::layout_left>(data, 5);
int result = 0;
for(int col = 0; col < 5; ++col) {
auto scol = stdex::submdspan(s, stdex::full_extent, col);
for(int row = 0; row < 3; ++row) {
auto srow = stdex::submdspan(scol, row);
result += __MDSPAN_OP0(srow) * (row + 1);
}
}
// 1 + 2 + 3 + 2*(4 + 5 + 6) + 3*(7 + 8 + 9)= 108
constexpr_assert_equal(108, result);
for(int row = 0; row < 3; ++row) {
auto srow = stdex::submdspan(s, row, stdex::full_extent);
for(int col = 0; col < 5; ++col) {
auto scol = stdex::submdspan(srow, col);
result += __MDSPAN_OP0(scol) * (row + 1);
}
}
result /= 2;
// 2 * (1 + 2 + 3 + 2*(4 + 5 + 6) + 3*(7 + 8 + 9)) / 2 = 108
constexpr_assert_equal(108, result);
return result == 108;
}
// MSVC ICE
#if !defined(_MDSPAN_COMPILER_MSVC) && (!defined(__GNUC__) || (__GNUC__>=6 && __GNUC_MINOR__>=4))
MDSPAN_STATIC_TEST(
// 2 * (1 + 2 + 3 + 2*(4 + 5 + 6) + 3*(7 + 8 + 9)) / 2 = 108
mixed_submdspan_left_test_2()
);
#endif
//==============================================================================
template <class Layout>
constexpr bool
mixed_submdspan_test_3() {
int data[] = {
1, 4, 7, 2, 5,
8, 3, 6, 9, 0,
0, 0, 0, 0, 0
};
auto s = stdex::mdspan<
int, stdex::extents<size_t,3, stdex::dynamic_extent>, Layout>(data, 5);
int result = 0;
for(int col = 0; col < 5; ++col) {
auto scol = stdex::submdspan(s, stdex::full_extent, col);
for(int row = 0; row < 3; ++row) {
auto srow = stdex::submdspan(scol, row);
result += __MDSPAN_OP0(srow) * (row + 1);
}
}
constexpr_assert_equal(71, result);
for(int row = 0; row < 3; ++row) {
auto srow = stdex::submdspan(s, row, stdex::full_extent);
for(int col = 0; col < 5; ++col) {
auto scol = stdex::submdspan(srow, col);
result += __MDSPAN_OP0(scol) * (row + 1);
}
}
result /= 2;
// 2 * (1 + 4 + 7 + 2 + 5 + 2*(8 + 3 + 6 + 9)) / 2 = 71
constexpr_assert_equal(71, result);
return result == 71;
}
// MSVC ICE
#ifndef _MDSPAN_COMPILER_MSVC
MDSPAN_STATIC_TEST(
mixed_submdspan_test_3<stdex::layout_right>()
);
#endif
//==============================================================================
#if defined(MDSPAN_ENABLE_EXPENSIVE_COMPILATION_TESTS) && MDSPAN_ENABLE_EXPENSIVE_COMPILATION_TESTS
template <ptrdiff_t Val, size_t Idx>
constexpr auto _repeated_ptrdiff_t = Val;
template <class T, size_t Idx>
using _repeated_with_idxs_t = T;
template <class Layout, size_t... Idxs>
constexpr bool
submdspan_single_element_stress_test_impl_2(
std::integer_sequence<size_t, Idxs...>
) {
using mdspan_t = stdex::mdspan<
int, stdex::extents<size_t,_repeated_ptrdiff_t<1, Idxs>...>, Layout>;
using dyn_mdspan_t = stdex::mdspan<
int, stdex::extents<size_t,_repeated_ptrdiff_t<stdex::dynamic_extent, Idxs>...>, Layout>;
int data[] = { 42 };
auto s = mdspan_t(data);
auto s_dyn = dyn_mdspan_t(data, _repeated_ptrdiff_t<1, Idxs>...);
auto ss = stdex::submdspan(s, _repeated_ptrdiff_t<0, Idxs>...);
auto ss_dyn = stdex::submdspan(s_dyn, _repeated_ptrdiff_t<0, Idxs>...);
auto ss_all = stdex::submdspan(s, _repeated_with_idxs_t<stdex::full_extent_t, Idxs>{}...);
auto ss_all_dyn = stdex::submdspan(s_dyn, _repeated_with_idxs_t<stdex::full_extent_t, Idxs>{}...);
auto val = __MDSPAN_OP(ss_all, (_repeated_ptrdiff_t<0, Idxs>...));
auto val_dyn = __MDSPAN_OP(ss_all_dyn, (_repeated_ptrdiff_t<0, Idxs>...));
auto ss_pair = stdex::submdspan(s, _repeated_with_idxs_t<std::pair<ptrdiff_t, ptrdiff_t>, Idxs>{0, 1}...);
auto ss_pair_dyn = stdex::submdspan(s_dyn, _repeated_with_idxs_t<std::pair<ptrdiff_t, ptrdiff_t>, Idxs>{0, 1}...);
auto val_pair = __MDSPAN_OP(ss_pair, (_repeated_ptrdiff_t<0, Idxs>...));
auto val_pair_dyn = __MDSPAN_OP(ss_pair_dyn, (_repeated_ptrdiff_t<0, Idxs>...));
constexpr_assert_equal(42, ss());
constexpr_assert_equal(42, ss_dyn());
constexpr_assert_equal(42, val);
constexpr_assert_equal(42, val_dyn);
constexpr_assert_equal(42, val_pair);
constexpr_assert_equal(42, val_pair_dyn);
return __MDSPAN_OP0(ss) == 42 && __MDSPAN_OP0(ss_dyn) == 42 && val == 42 && val_dyn == 42 && val_pair == 42 && val_pair_dyn == 42;
}
template <class Layout, size_t... Sizes>
constexpr bool
submdspan_single_element_stress_test_impl_1(
std::integer_sequence<size_t, Sizes...>
) {
return _MDSPAN_FOLD_AND(
submdspan_single_element_stress_test_impl_2<Layout>(
std::make_index_sequence<Sizes>{}
) /* && ... */
);
}
template <class Layout, size_t N>
constexpr bool
submdspan_single_element_stress_test() {
return submdspan_single_element_stress_test_impl_1<Layout>(
std::make_index_sequence<N+2>{}
);
}
MDSPAN_STATIC_TEST(
submdspan_single_element_stress_test<stdex::layout_left, 15>()
);
MDSPAN_STATIC_TEST(
submdspan_single_element_stress_test<stdex::layout_right, 15>()
);
#endif // MDSPAN_DISABLE_EXPENSIVE_COMPILATION_TESTS
#endif // defined(_MDSPAN_USE_CONSTEXPR_14) && _MDSPAN_USE_CONSTEXPR_14
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_constexpr_dereference.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
namespace stdex = std::experimental;
// Only works with newer constexpr
#if defined(_MDSPAN_USE_CONSTEXPR_14) && _MDSPAN_USE_CONSTEXPR_14
//==============================================================================
constexpr int
simple_static_sum_test_1(int add_to_row) {
int data[] = {
1, 2, 3,
4, 5, 6,
7, 8, 9
};
auto s = stdex::mdspan<int, stdex::extents<size_t,3, 3>>(data);
int result = 0;
for(int col = 0; col < 3; ++col) {
for(int row = 0; row < 3; ++row) {
result += __MDSPAN_OP(s, row, col) * (row + add_to_row);
}
}
return result;
}
MDSPAN_STATIC_TEST(
// 1 + 2 + 3 + 2*(4 + 5 + 6) + 3*(7 + 8 + 9) = 108
simple_static_sum_test_1(1) == 108
);
MDSPAN_STATIC_TEST(
// -1 - 2 - 3 + 7 + 8 + 9 = 18
simple_static_sum_test_1(-1) == 18
);
#if !defined(__INTEL_COMPILER) || (__INTEL_COMPILER>=1800)
MDSPAN_STATIC_TEST(
// -1 - 2 - 3 + 7 + 8 + 9 = 18
stdex::mdspan<double, stdex::extents<size_t,simple_static_sum_test_1(-1)>>{nullptr}.extent(0) == 18
);
#endif
//==============================================================================
constexpr int
simple_test_1d_constexpr_in_type() {
int data[] = {
1, 2, 3, 4, 5, 6, 7, 8, 9,
10, 11, 12, 13, 14, 15, 16, 17, 18
};
auto s = stdex::mdspan<int, stdex::extents<size_t,simple_static_sum_test_1(-1)>>(data);
// 4 + 14 + 18 + 1 = 37
return s[3] + s[13] + s[17] + s[0];
}
MDSPAN_STATIC_TEST(
simple_test_1d_constexpr_in_type() == 37
);
//==============================================================================
constexpr int
simple_dynamic_sum_test_2(int add_to_row) {
int data[] = {
1, 2, 3, 0,
4, 5, 6, 0,
7, 8, 9, 0
};
auto s = stdex::mdspan<int, stdex::dextents<size_t,2>>(data, 3, 4);
int result = 0;
for(int col = 0; col < 3; ++col) {
for(int row = 0; row < 3; ++row) {
result += __MDSPAN_OP(s, row, col) * (row + add_to_row);
}
}
return result;
}
MDSPAN_STATIC_TEST(
// 1 + 2 + 3 + 2*(4 + 5 + 6) + 3*(7 + 8 + 9) = 108
simple_dynamic_sum_test_2(1) == 108
);
MDSPAN_STATIC_TEST(
// -1 - 2 - 3 + 7 + 8 + 9 = 18
simple_dynamic_sum_test_2(-1) == 18
);
//==============================================================================
constexpr int
simple_mixed_layout_left_sum_test_3(int add_to_row) {
int data[] = {
1, 4, 7,
2, 5, 8,
3, 6, 9,
0, 0, 0
};
auto s = stdex::mdspan<
int, stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>,
stdex::layout_left
>(data, 3, 4);
int result = 0;
for(int col = 0; col < 3; ++col) {
for(int row = 0; row < 3; ++row) {
result += __MDSPAN_OP(s, row, col) * (row + add_to_row);
}
}
return result;
}
MDSPAN_STATIC_TEST(
// 1 + 2 + 3 + 2*(4 + 5 + 6) + 3*(7 + 8 + 9) = 108
simple_mixed_layout_left_sum_test_3(1) == 108
);
//==============================================================================
#if defined(MDSPAN_ENABLE_EXPENSIVE_COMPILATION_TESTS) && MDSPAN_ENABLE_EXPENSIVE_COMPILATION_TESTS
template <ptrdiff_t Val, size_t Idx>
constexpr auto _repeated_ptrdiff_t = Val;
template <class Layout, size_t... Idxs>
constexpr bool
multidimensional_single_element_stress_test_impl_2(
std::integer_sequence<size_t, Idxs...>
) {
using mdspan_t = stdex::mdspan<
int, stdex::extents<size_t,_repeated_ptrdiff_t<1, Idxs>...>, Layout>;
using dyn_mdspan_t = stdex::mdspan<
int, stdex::extents<size_t,_repeated_ptrdiff_t<stdex::dynamic_extent, Idxs>...>, Layout>;
int data[] = { 42 };
auto s = mdspan_t(data);
auto s_dyn = dyn_mdspan_t(data, _repeated_ptrdiff_t<1, Idxs>...);
auto val = __MDSPAN_OP(s, _repeated_ptrdiff_t<0, Idxs>...);
auto val_dyn = __MDSPAN_OP(s_dyn, _repeated_ptrdiff_t<0, Idxs>...);
constexpr_assert_equal(42, val);
constexpr_assert_equal(42, val_dyn);
return val == 42 && val_dyn == 42;
}
template <class Layout, size_t... Sizes>
constexpr bool
multidimensional_single_element_stress_test_impl_1(
std::integer_sequence<size_t, Sizes...>
) {
return _MDSPAN_FOLD_AND(
multidimensional_single_element_stress_test_impl_2<Layout>(
std::make_index_sequence<Sizes>{}
) /* && ... */
);
}
template <class Layout, size_t N>
constexpr bool
multidimensional_single_element_stress_test() {
return multidimensional_single_element_stress_test_impl_1<Layout>(
std::make_index_sequence<N+2>{}
);
}
MDSPAN_STATIC_TEST(
multidimensional_single_element_stress_test<stdex::layout_left, 20>()
);
MDSPAN_STATIC_TEST(
multidimensional_single_element_stress_test<stdex::layout_right, 20>()
);
template <class Layout, size_t Idx1, size_t Idx2>
constexpr bool
stress_test_2d_single_element_stress_test_impl_2(
std::integral_constant<size_t, Idx1>,
std::integral_constant<size_t, Idx2>
) {
using mdspan_t = stdex::mdspan<
int, stdex::extents<size_t,Idx1, Idx2>, Layout>;
using dyn_mdspan_1_t = stdex::mdspan<
int, stdex::extents<size_t,stdex::dynamic_extent, Idx2>, Layout>;
using dyn_mdspan_2_t = stdex::mdspan<
int, stdex::extents<size_t,Idx1, stdex::dynamic_extent>, Layout>;
using dyn_mdspan_t = stdex::mdspan<
int, stdex::extents<size_t,stdex::dynamic_extent, stdex::dynamic_extent>, Layout>;
int data[Idx1*Idx2] = { };
auto s = mdspan_t(data);
auto s1 = dyn_mdspan_1_t(data, Idx1);
auto s2 = dyn_mdspan_2_t(data, Idx2);
auto s12 = dyn_mdspan_t(data, Idx1, Idx2);
for(ptrdiff_t i = 0; i < Idx1; ++i) {
for(ptrdiff_t j = 0; j < Idx2; ++j) {
__MDSPAN_OP(s, i, j) = __MDSPAN_OP(s1, i, j) = __MDSPAN_OP(s2, i, j) = __MDSPAN_OP(s12, i, j) = 1;
}
}
int result = 0;
for(ptrdiff_t i = 0; i < Idx1; ++i) {
for(ptrdiff_t j = 0; j < Idx2; ++j) {
result += __MDSPAN_OP(s, i, j) + __MDSPAN_OP(s1, i, j) + __MDSPAN_OP(s2, i, j) + __MDSPAN_OP(s12, i, j);
}
}
result /= 4;
constexpr_assert_equal(Idx1*Idx2, result);
return result == Idx1 * Idx2;
}
template <class Layout, size_t Idx1, size_t... Idxs2>
constexpr bool
stress_test_2d_single_element_stress_test_impl_1(
std::integral_constant<size_t, Idx1> idx1,
std::integer_sequence<size_t, Idxs2...>
)
{
return _MDSPAN_FOLD_AND(
stress_test_2d_single_element_stress_test_impl_2<Layout>(
idx1, std::integral_constant<size_t, Idxs2+1>{}
) /* && ... */
);
}
template <class Layout, size_t... Idxs1, size_t... Idxs2>
constexpr bool
stress_test_2d_single_element_stress_test_impl_0(
std::integer_sequence<size_t, Idxs1...>,
std::integer_sequence<size_t, Idxs2...> idxs2
)
{
return _MDSPAN_FOLD_AND(
stress_test_2d_single_element_stress_test_impl_1<Layout>(
std::integral_constant<size_t, Idxs1+1>{}, idxs2
) /* && ... */
);
}
template <class Layout, size_t N, size_t M = N>
constexpr bool
stress_test_2d_single_element_stress_test() {
return stress_test_2d_single_element_stress_test_impl_0<Layout>(
std::make_index_sequence<N>{},
std::make_index_sequence<M>{}
);
}
MDSPAN_STATIC_TEST(
stress_test_2d_single_element_stress_test<stdex::layout_left, 8, 8>()
);
MDSPAN_STATIC_TEST(
stress_test_2d_single_element_stress_test<stdex::layout_right, 8, 8>()
);
// Not evaluated at constexpr time to get around limits, but still compiled
static bool _stress_2d_result =
stress_test_2d_single_element_stress_test<stdex::layout_left, 6, 15>()
&& stress_test_2d_single_element_stress_test<stdex::layout_right, 15, 6>();
#endif // MDSPAN_DISABLE_EXPENSIVE_COMPILATION_TESTS
#endif //defined(_MDSPAN_USE_CONSTEXPR_14) && _MDSPAN_USE_CONSTEXPR_14
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_constructor_sfinae.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
#include <type_traits>
namespace stdex = std::experimental;
//==============================================================================
// <editor-fold des4c="Test allowed pointer + extents ctors"> {{{1
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::extents<size_t,2, stdex::dynamic_extent>,
std::array<int,1>
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::extents<size_t,2, stdex::dynamic_extent>,
std::array<int,2>
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::extents<size_t,2, stdex::dynamic_extent>,
int
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::extents<size_t,2, stdex::dynamic_extent>,
int, int64_t
>::value
);
// TODO @proposal-bug: not sure we really intended this???
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::extents<size_t,2, stdex::dynamic_extent>,
std::array<float,2>
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::extents<size_t,2, stdex::dynamic_extent>,
float, double
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::mdspan<int, stdex::extents<size_t>>,
int*
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::mdspan<int, stdex::extents<size_t,2>>,
int*
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::mdspan<int, stdex::extents<size_t,2, stdex::dynamic_extent>>,
int*, int
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::mdspan<double, stdex::extents<size_t,stdex::dynamic_extent, 2, stdex::dynamic_extent>>,
double*, unsigned, int
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::mdspan<int, stdex::extents<size_t,2, stdex::dynamic_extent>>,
int*, int, int
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::mdspan<int, stdex::extents<size_t,stdex::dynamic_extent, 2, stdex::dynamic_extent>>,
int*, std::array<int,2>
>::value
);
MDSPAN_STATIC_TEST(
std::is_constructible<
stdex::mdspan<int, stdex::extents<size_t,2, stdex::dynamic_extent>>,
int*, std::array<int,2>
>::value
);
// </editor-fold> end Test allowed pointer + extents ctors }}}1
//==============================================================================
//==============================================================================
// <editor-fold desc="Test forbidden pointer + extents ctors"> {{{1
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::extents<size_t,2, stdex::dynamic_extent>,
std::array<int, 4>
>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::extents<size_t,2, stdex::dynamic_extent>,
int, int, int
>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::mdspan<int, stdex::extents<size_t,2, stdex::dynamic_extent>>,
int*, std::array<int, 4>
>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::mdspan<int, stdex::extents<size_t,2, stdex::dynamic_extent>>,
double*, int
>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::mdspan<int, stdex::extents<size_t,2, stdex::dynamic_extent>>,
int*, int, int, int
>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::mdspan<int, stdex::dextents<size_t,2>, stdex::layout_stride>,
int*, int, int
>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::mdspan<int, stdex::dextents<size_t,2>, stdex::layout_stride>,
int*, std::array<int,2>
>::value
);
MDSPAN_STATIC_TEST(
!std::is_constructible<
stdex::mdspan<int, stdex::dextents<size_t,2>, stdex::layout_stride>,
int*, stdex::dextents<size_t,2>
>::value
);
// </editor-fold> end Test forbidden pointer + extents ctors }}}1
//==============================================================================
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/compilation_tests/ctest_mdspan_convertible.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2020) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include "ctest_common.hpp"
#include <experimental/mdspan>
#include <type_traits>
namespace stdex = std::experimental;
//==============================================================================
// <editor-fold desc="mdspan"> {{{1
MDSPAN_STATIC_TEST(
std::is_convertible<
stdex::mdspan<double, stdex::dextents<size_t,1>>,
stdex::mdspan<double const, stdex::dextents<size_t,1>>
>::value
);
MDSPAN_STATIC_TEST(
!std::is_convertible<
stdex::mdspan<double const, stdex::dextents<size_t,1>>,
stdex::mdspan<double, stdex::dextents<size_t,1>>
>::value
);
// </editor-fold> end mdspan }}}1
//==============================================================================
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/comp_bench/CMakeLists.txt |
include(metabench)
function(add_cxx_comparison name template range)
set(all_datasets)
foreach(std IN ITEMS 11 14 17)
metabench_add_dataset(
${name}_${std}
${template}
${range}
MEDIAN_OF 3
)
target_link_libraries(${name}_${std} mdspan)
set_property(TARGET ${name}_${std} PROPERTY CXX_STANDARD ${std})
set(all_datasets ${all_datasets} ${name}_${std})
endforeach()
metabench_add_chart(${name} DATASETS ${all_datasets})
endfunction()
add_cxx_comparison(submdspan_chart "cbench_submdspan.cpp.erb" "[2, 4, 8, 16, 32]")
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/comp_bench/cbench_submdspan.cpp.erb |
#include <experimental/mdspan>
int test(int* data) {
#if defined(METABENCH)
auto sub0 = std::experimental::mdspan<int,
std::experimental::extents<
<%= (["2"] * n).join(", ") %>
>
>(data);
<% (32/n).times do |k| %>
auto <%= "sub0_#{k}" %> = std::experimental::mdspan<int,
std::experimental::extents<
<%= (["#{k+2}"] * n).join(", ") %>
>
>(data);
<% n.times do |i| %>
auto <%= "sub#{i+1}_#{k}" %> = std::experimental::submdspan(
<%= "sub#{i}_#{k}" %>,
1
<%= ", std::experimental::full_extent" * (n - i - 1) %>
);
<% end %>
<% end %>
return 42
<% (16/n).times do |k| %>
<%= " + sub#{n}_#{k}" %>()
<% end %>
;
#endif
}
int main() {}
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples/CMakeLists.txt | cmake_minimum_required(VERSION 3.12...3.19)
project(example LANGUAGES CXX)
if(NOT TARGET std::mdspan)
find_package(mdspan REQUIRED)
endif()
function(mdspan_add_example EXENAME)
add_executable(${EXENAME} ${EXENAME}.cpp)
target_link_libraries(${EXENAME} std::mdspan)
endfunction()
add_subdirectory(godbolt_starter)
add_subdirectory(dot_product)
add_subdirectory(tiled_layout)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples/tiled_layout/simple_tiled_layout.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <iostream>
#include <cassert>
namespace stdex = std::experimental;
// Simple tiled layout.
// Hard-coded for 2D, column-major across tiles
// and row-major within each tile
struct SimpleTileLayout2D {
template <class Extents>
struct mapping {
// for simplicity
static_assert(Extents::rank() == 2, "SimpleTileLayout2D is hard-coded for 2D layout");
// for convenience
using size_type = typename Extents::size_type;
// constructor
mapping(
Extents const& exts,
size_type row_tile,
size_type col_tile
) noexcept
: extents_(exts),
row_tile_size_(row_tile),
col_tile_size_(col_tile)
{
// For simplicity, don't worry about negatives/zeros/etc.
assert(row_tile > 0);
assert(col_tile > 0);
assert(exts.extent(0) > 0);
assert(exts.extent(1) > 0);
}
mapping() noexcept = default;
mapping(mapping const&) noexcept = default;
mapping(mapping&&) noexcept = default;
mapping& operator=(mapping const&) noexcept = default;
mapping& operator=(mapping&&) noexcept = default;
~mapping() noexcept = default;
//------------------------------------------------------------
// Helper members (not part of the layout concept)
constexpr size_type
n_row_tiles() const noexcept {
return extents_.extent(0) / row_tile_size_ + size_type((extents_.extent(0) % row_tile_size_) != 0);
}
constexpr size_type
n_column_tiles() const noexcept {
return extents_.extent(1) / col_tile_size_ + size_type((extents_.extent(1) % col_tile_size_) != 0);
}
constexpr size_type
tile_size() const noexcept {
return row_tile_size_ * col_tile_size_;
}
size_type
tile_offset(size_type row, size_type col) const noexcept {
// This could probably be more efficient, but for example purposes...
auto col_tile = col / col_tile_size_;
auto row_tile = row / row_tile_size_;
// We're hard-coding this to *column-major* layout across tiles
return (col_tile * n_row_tiles() + row_tile) * tile_size();
}
size_type
offset_in_tile(size_type row, size_type col) const noexcept {
auto t_row = row % row_tile_size_;
auto t_col = col % col_tile_size_;
// We're hard-coding this to *row-major* within tiles
return t_row * col_tile_size_ + t_col;
}
//------------------------------------------------------------
// Required members
constexpr size_type
operator()(size_type row, size_type col) const noexcept {
return tile_offset(row, col) + offset_in_tile(row, col);
}
constexpr size_type
required_span_size() const noexcept {
return n_row_tiles() * n_column_tiles() * tile_size();
}
// Mapping is always unique
static constexpr bool is_always_unique() noexcept { return true; }
// There is not always a regular stride between elements in a given dimension
static constexpr bool is_always_strided() noexcept { return false; }
// only contiguous if extents_.extent(0) % column_tile_size == 0, so not always
static constexpr bool is_always_contiguous() noexcept { return false; }
static constexpr bool is_unique() noexcept { return true; }
constexpr bool
is_contiguous() const noexcept {
// Only contiguous if extents fit exactly into tile sizes...
return (extents_.extent(0) % row_tile_size_ == 0) && (extents_.extent(1) % col_tile_size_ == 0);
}
// There are some circumstances where this is strided, but we're not
// concerned about that optimization, so we're allowed to just return false here
constexpr bool is_strided() const noexcept { return false; }
private:
Extents extents_;
size_type row_tile_size_;
size_type col_tile_size_;
};
};
int main() {
//----------------------------------------
// 5x2 example, tiled as 3x3
constexpr int n_rows = 2;
constexpr int n_cols = 5;
int data_row_major[] = {
1, 2, 3, /*|*/ 4, 5, /* X | */
6, 7, 8, /*|*/ 9, 10 /* X | */
/*X, X, X, | X X X |
*------------------------------------ */
};
// manually tiling the above, using -1 as filler
static constexpr int X = -1;
int data_tiled[] = {
/* tile 0, 0 */ 1, 2, 3, 6, 7, 8, X, X, X,
/* tile 0, 1 */ 4, 5, X, 9, 10, X, X, X, X,
};
//----------------------------------------
// Just use dynamic extents for the purposes of demonstration
using extents_type = stdex::dextents<size_t, 2>;
using tiled_mdspan = stdex::mdspan<int, extents_type, SimpleTileLayout2D>;
using tiled_layout_type = typename SimpleTileLayout2D::template mapping<extents_type>;
using row_major_mdspan = stdex::mdspan<int, extents_type, stdex::layout_right>;
//----------------------------------------
auto tiled = tiled_mdspan(data_tiled, tiled_layout_type(extents_type(n_rows, n_cols), 3, 3));
auto row_major = row_major_mdspan(data_row_major, n_rows, n_cols);
//----------------------------------------
// Check that we did things correctly
int failures = 0;
for (int irow = 0; irow < n_rows; ++irow) {
for (int icol = 0; icol < n_cols; ++icol) {
if(tiled(irow, icol) != row_major(irow, icol)) {
std::cout << "Mismatch for entry " << irow << ", " << icol << ":" << std::endl;
std::cout << " tiled(" << irow << ", " << icol << ") = "
<< tiled(irow, icol) << std::endl;
std::cout << " row_major(" << irow << ", " << icol << ") = "
<< row_major(irow, icol) << std::endl;
++failures;
}
}
}
if(failures == 0) {
std::cout << "Success! SimpleTiledLayout2D works as expected." << std::endl;
}
}
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples/tiled_layout/CMakeLists.txt | mdspan_add_example(simple_tiled_layout)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples/dot_product/CMakeLists.txt | mdspan_add_example(dot_product)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples/dot_product/dot_product.cpp | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2019) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// CONTRIBUTORS 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.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <experimental/mdspan>
#include <iostream>
#include <iomanip>
#include <memory>
namespace stdex = std::experimental;
#if !(defined(__cpp_lib_make_unique) && __cpp_lib_make_unique >= 201304) && !MDSPAN_HAS_CXX_14
// Not actually conforming, but it works for the purposes of this file
namespace std {
template <class T>
struct __unique_ptr_new_impl {
template <class... Args>
static T* __impl(Args&&... args) {
return new T((Args&&)args...);
}
};
template <class T>
struct __unique_ptr_new_impl<T[]> {
static T* __impl(size_t size) {
return new T[size];
}
};
template <class T, class... Args>
std::unique_ptr<T> make_unique(Args&&... args) {
return std::unique_ptr<T>(__unique_ptr_new_impl<T>::__impl((Args&&)args...));
}
} // end namespace std
#endif
//================================================================================
template <
class T,
class ExtsA, class LayA, class AccA,
class ExtsB, class LayB, class AccB
>
T dot_product(
stdex::mdspan<T, ExtsA, LayA, AccA> a,
stdex::mdspan<T, ExtsB, LayB, AccB> b
) //requires ExtsA::rank() == ExtsB::rank() && ExtsA::rank() == 2
{
T result = 0;
for(int i = 0; i < a.extent(0); ++i) {
for(int j = 0; j < a.extent(1); ++j) {
result += a(i, j) * b(i, j);
}
}
return result;
}
//================================================================================
template <
class T,
class ExtsA, class LayA, class AccA
>
void fill_in_order(
stdex::mdspan<T, ExtsA, LayA, AccA> a
) // requires ExtsA::rank() == 2
{
T count = 0;
for(int i = 0; i < a.extent(0); ++i) {
for(int j = 0; j < a.extent(1); ++j) {
a(i, j) = count++;
}
}
}
//================================================================================
constexpr int rows = 3;
constexpr int cols = 3;
//================================================================================
int main() {
{
using span_2d_dynamic = stdex::mdspan<int, stdex::dextents<size_t, 2>, stdex::layout_right>;
using span_2d_dynamic_left = stdex::mdspan<int, stdex::dextents<size_t, 2>, stdex::layout_left>;
auto data_a = std::make_unique<int[]>(rows * cols);
auto data_b = std::make_unique<int[]>(rows * cols);
auto a = span_2d_dynamic(data_a.get(), rows, cols);
auto b = span_2d_dynamic_left(data_b.get(), rows, cols);
fill_in_order(a);
fill_in_order(b);
std::cout << dot_product(a, b) << std::endl;
}
{
using span_2d_10_10 = stdex::mdspan<int, stdex::extents<size_t, rows, cols>, stdex::layout_right>;
using span_2d_10_10_left = stdex::mdspan<int, stdex::extents<size_t, rows, cols>, stdex::layout_right>;
auto data_a = std::make_unique<int[]>(100);
auto data_b = std::make_unique<int[]>(100);
auto a = span_2d_10_10(data_a.get());
auto b = span_2d_10_10_left(data_b.get());
fill_in_order(a);
fill_in_order(b);
std::cout << dot_product(a, b) << std::endl;
}
}
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples/godbolt_starter/CMakeLists.txt | mdspan_add_example(godbolt_starter)
| 0 |
rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples | rapidsai_public_repos/raft/cpp/include/raft/thirdparty/mdspan/examples/godbolt_starter/godbolt_starter.cpp | #if defined(_MDSPAN_USE_CLASS_TEMPLATE_ARGUMENT_DEDUCTION)
// https://godbolt.org/z/ehErvsTce
#include <experimental/mdspan>
#include <iostream>
namespace stdex = std::experimental;
int main() {
std::array d{
0, 5, 1,
3, 8, 4,
2, 7, 6,
};
stdex::mdspan m{d.data(), stdex::extents{3, 3}};
for (std::size_t i = 0; i < m.extent(0); ++i)
for (std::size_t j = 0; j < m.extent(1); ++j)
std::cout << "m(" << i << ", " << j << ") == " << m(i, j) << "\n";
}
#else
int main() {}
#endif
| 0 |
rapidsai_public_repos/raft/cpp/include/raft | rapidsai_public_repos/raft/cpp/include/raft/matrix/linewise_op.cuh | /*
* Copyright (c) 2022-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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.
*/
#pragma once
#include <raft/core/device_mdspan.hpp>
#include <raft/core/resource/cuda_stream.hpp>
#include <raft/core/resources.hpp>
#include <raft/matrix/detail/linewise_op.cuh>
namespace raft::matrix {
/**
* @defgroup linewise_op Matrix Linewise Operations
* @{
*/
/**
* Run a function over matrix lines (rows or columns) with a variable number
* row-vectors or column-vectors.
* The term `line` here signifies that the lines can be either columns or rows,
* depending on the matrix layout.
* What matters is if the vectors are applied along lines (indices of vectors correspond to
* indices within lines), or across lines (indices of vectors correspond to line numbers).
* @tparam m_t matrix elements type
* @tparam idx_t integer type used for indexing
* @tparam layout layout of the matrix data (must be row or col major)
* @tparam Lambda type of lambda function used for the operation
* @tparam vec_t variadic types of device_vector_view vectors (size m if alongRows, size n
* otherwise)
* @param[in] handle raft handle for managing resources
* @param [out] out result of the operation; can be same as `in`; should be aligned the same
* as `in` to allow faster vectorized memory transfers.
* @param [in] in input matrix consisting of `nLines` lines, each `lineLen`-long.
* @param [in] alongLines whether vectors are indices along or across lines.
* @param [in] op the operation applied on each line:
* for i in [0..lineLen) and j in [0..nLines):
* out[j, i] = op(in[j, i], vec1[i], vec2[i], ... veck[i]) if alongLines = true
* out[j, i] = op(in[j, i], vec1[j], vec2[j], ... veck[j]) if alongLines = false
* where matrix indexing is row-major ([j, i] = [i + lineLen * j]).
* out[i, j] = op(in[i, j], vec1[i], vec2[i], ... veck[i]) if alongLines = true
* out[i, j] = op(in[i, j], vec1[j], vec2[j], ... veck[j]) if alongLines = false
* where matrix indexing is col-major ([i, j] = [i + lineLen * j]).
* @param [in] vecs zero or more vectors to be passed as arguments,
* size of each vector is `alongLines ? lineLen : nLines`.
*/
template <typename m_t,
typename idx_t,
typename layout,
typename Lambda,
typename... vec_t,
typename = raft::enable_if_device_mdspan<vec_t...>>
void linewise_op(raft::resources const& handle,
raft::device_matrix_view<const m_t, idx_t, layout> in,
raft::device_matrix_view<m_t, idx_t, layout> out,
const bool alongLines,
Lambda op,
vec_t... vecs)
{
constexpr auto is_rowmajor = std::is_same_v<layout, row_major>;
constexpr auto is_colmajor = std::is_same_v<layout, col_major>;
static_assert(is_rowmajor || is_colmajor,
"layout for in and out must be either row or col major");
const idx_t nLines = is_rowmajor ? in.extent(0) : in.extent(1);
const idx_t lineLen = is_rowmajor ? in.extent(1) : in.extent(0);
RAFT_EXPECTS(out.extent(0) == in.extent(0) && out.extent(1) == in.extent(1),
"Input and output must have the same shape.");
detail::MatrixLinewiseOp<16, 256>::run<m_t, idx_t>(out.data_handle(),
in.data_handle(),
lineLen,
nLines,
alongLines,
op,
resource::get_cuda_stream(handle),
vecs.data_handle()...);
}
template <typename m_t,
typename idx_t,
typename layout,
typename Lambda,
typename... vec_t,
typename = raft::enable_if_device_mdspan<vec_t...>>
void linewise_op(raft::resources const& handle,
raft::device_aligned_matrix_view<const m_t, idx_t, layout> in,
raft::device_aligned_matrix_view<m_t, idx_t, layout> out,
const bool alongLines,
Lambda op,
vec_t... vecs)
{
constexpr auto is_rowmajor = std::is_same_v<layout, raft::layout_right_padded<m_t>>;
constexpr auto is_colmajor = std::is_same_v<layout, raft::layout_left_padded<m_t>>;
static_assert(is_rowmajor || is_colmajor,
"layout for in and out must be either padded row or col major");
const idx_t nLines = is_rowmajor ? in.extent(0) : in.extent(1);
const idx_t lineLen = is_rowmajor ? in.extent(1) : in.extent(0);
RAFT_EXPECTS(out.extent(0) == in.extent(0) && out.extent(1) == in.extent(1),
"Input and output must have the same shape.");
detail::MatrixLinewiseOp<16, 256>::runPadded<m_t, idx_t>(out,
in,
lineLen,
nLines,
alongLines,
op,
resource::get_cuda_stream(handle),
vecs.data_handle()...);
}
/** @} */ // end of group linewise_op
} // namespace raft::matrix
| 0 |
rapidsai_public_repos/raft/cpp/include/raft | rapidsai_public_repos/raft/cpp/include/raft/matrix/gather.cuh | /*
* Copyright (c) 2022-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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.
*/
#pragma once
#include <raft/core/device_mdspan.hpp>
#include <raft/core/resource/cuda_stream.hpp>
#include <raft/core/resources.hpp>
#include <raft/matrix/detail/gather.cuh>
#include <raft/matrix/detail/gather_inplace.cuh>
#include <raft/util/itertools.hpp>
namespace raft::matrix {
/**
* @defgroup matrix_gather Matrix gather operations
* @{
*/
/**
* @brief Copies rows from a source matrix into a destination matrix according to a map.
*
* For each output row, read the index in the input matrix from the map and copy the row.
*
* @tparam InputIteratorT Input iterator type, for the input matrix (may be a pointer type).
* @tparam MapIteratorT Input iterator type, for the map (may be a pointer type).
* @tparam OutputIteratorT Output iterator type, for the output matrix (may be a pointer type).
* @tparam IndexT Index type.
*
* @param in Input matrix, dim = [N, D] (row-major)
* @param D Number of columns of the input/output matrices
* @param N Number of rows of the input matrix
* @param map Map of row indices to gather, dim = [map_length]
* @param map_length The length of 'map', number of rows of the output matrix
* @param out Output matrix, dim = [map_length, D] (row-major)
* @param stream CUDA stream to launch kernels within
*/
template <typename InputIteratorT, typename MapIteratorT, typename OutputIteratorT, typename IndexT>
void gather(const InputIteratorT in,
IndexT D,
IndexT N,
const MapIteratorT map,
IndexT map_length,
OutputIteratorT out,
cudaStream_t stream)
{
detail::gather(in, D, N, map, map_length, out, stream);
}
/**
* @brief Copies rows from a source matrix into a destination matrix according to a transformed map.
*
* For each output row, read the index in the input matrix from the map, apply a transformation to
* this input index and copy the row.
*
* @tparam InputIteratorT Input iterator type, for the input matrix (may be a pointer type).
* @tparam MapIteratorT Input iterator type, for the map (may be a pointer type).
* @tparam MapTransformOp Unary lambda expression or operator type. MapTransformOp's result type
* must be convertible to IndexT.
* @tparam OutputIteratorT Output iterator type, for the output matrix (may be a pointer type).
* @tparam IndexT Index type.
*
* @param in Input matrix, dim = [N, D] (row-major)
* @param D Number of columns of the input/output matrices
* @param N Number of rows of the input matrix
* @param map Map of row indices to gather, dim = [map_length]
* @param map_length The length of 'map', number of rows of the output matrix
* @param out Output matrix, dim = [map_length, D] (row-major)
* @param transform_op Transformation to apply to map values
* @param stream CUDA stream to launch kernels within
*/
template <typename InputIteratorT,
typename MapIteratorT,
typename MapTransformOp,
typename OutputIteratorT,
typename IndexT>
void gather(const InputIteratorT in,
IndexT D,
IndexT N,
const MapIteratorT map,
IndexT map_length,
OutputIteratorT out,
MapTransformOp transform_op,
cudaStream_t stream)
{
detail::gather(in, D, N, map, map_length, out, transform_op, stream);
}
/**
* @brief Conditionally copies rows from a source matrix into a destination matrix.
*
* For each output row, read the index in the input matrix from the map, read a stencil value, apply
* a predicate to the stencil value, and if true, copy the row.
*
* @tparam InputIteratorT Input iterator type, for the input matrix (may be a pointer type).
* @tparam MapIteratorT Input iterator type, for the map (may be a pointer type).
* @tparam StencilIteratorT Input iterator type, for the stencil (may be a pointer type).
* @tparam UnaryPredicateOp Unary lambda expression or operator type. UnaryPredicateOp's result type
* must be convertible to bool type.
* @tparam OutputIteratorT Output iterator type, for the output matrix (may be a pointer type).
* @tparam IndexT Index type.
*
* @param in Input matrix, dim = [N, D] (row-major)
* @param D Number of columns of the input/output matrices
* @param N Number of rows of the input matrix
* @param map Map of row indices to gather, dim = [map_length]
* @param stencil Sequence of stencil values, dim = [map_length]
* @param map_length The length of 'map' and 'stencil', number of rows of the output matrix
* @param out Output matrix, dim = [map_length, D] (row-major)
* @param pred_op Predicate to apply to the stencil values
* @param stream CUDA stream to launch kernels within
*/
template <typename InputIteratorT,
typename MapIteratorT,
typename StencilIteratorT,
typename UnaryPredicateOp,
typename OutputIteratorT,
typename IndexT>
void gather_if(const InputIteratorT in,
IndexT D,
IndexT N,
const MapIteratorT map,
StencilIteratorT stencil,
IndexT map_length,
OutputIteratorT out,
UnaryPredicateOp pred_op,
cudaStream_t stream)
{
detail::gather_if(in, D, N, map, stencil, map_length, out, pred_op, stream);
}
/**
* @brief Conditionally copies rows according to a transformed map.
*
* For each output row, read the index in the input matrix from the map, read a stencil value,
* apply a predicate to the stencil value, and if true, apply a transformation to the input index
* and copy the row.
*
* @tparam InputIteratorT Input iterator type, for the input matrix (may be a pointer type).
* @tparam MapIteratorT Input iterator type, for the map (may be a pointer type).
* @tparam MapTransformOp Unary lambda expression or operator type. MapTransformOp's result type
* must be convertible to IndexT.
* @tparam StencilIteratorT Input iterator type, for the stencil (may be a pointer type).
* @tparam UnaryPredicateOp Unary lambda expression or operator type. UnaryPredicateOp's result type
* must be convertible to bool type.
* @tparam OutputIteratorT Output iterator type, for the output matrix (may be a pointer type).
* @tparam IndexT Index type.
*
* @param in Input matrix, dim = [N, D] (row-major)
* @param D Number of columns of the input/output matrices
* @param N Number of rows of the input matrix
* @param map Map of row indices to gather, dim = [map_length]
* @param stencil Sequence of stencil values, dim = [map_length]
* @param map_length The length of 'map' and 'stencil', number of rows of the output matrix
* @param out Output matrix, dim = [map_length, D] (row-major)
* @param pred_op Predicate to apply to the stencil values
* @param transform_op Transformation to apply to map values
* @param stream CUDA stream to launch kernels within
*/
template <typename InputIteratorT,
typename MapIteratorT,
typename StencilIteratorT,
typename UnaryPredicateOp,
typename MapTransformOp,
typename OutputIteratorT,
typename IndexT>
void gather_if(const InputIteratorT in,
IndexT D,
IndexT N,
const MapIteratorT map,
StencilIteratorT stencil,
IndexT map_length,
OutputIteratorT out,
UnaryPredicateOp pred_op,
MapTransformOp transform_op,
cudaStream_t stream)
{
detail::gather_if(in, D, N, map, stencil, map_length, out, pred_op, transform_op, stream);
}
/**
* @brief Copies rows from a source matrix into a destination matrix according to a transformed map.
*
* For each output row, read the index in the input matrix from the map, apply a transformation to
* this input index if specified, and copy the row.
*
* @tparam matrix_t Matrix element type
* @tparam map_t Integer type of map elements
* @tparam idx_t Integer type used for indexing
* @tparam map_xform_t Unary lambda expression or operator type. MapTransformOp's result type must
* be convertible to idx_t.
* @param[in] handle raft handle for managing resources
* @param[in] in Input matrix, dim = [N, D] (row-major)
* @param[in] map Map of row indices to gather, dim = [map_length]
* @param[out] out Output matrix, dim = [map_length, D] (row-major)
* @param[in] transform_op (optional) Transformation to apply to map values
*/
template <typename matrix_t,
typename map_t,
typename idx_t,
typename map_xform_t = raft::identity_op>
void gather(const raft::resources& handle,
raft::device_matrix_view<const matrix_t, idx_t, row_major> in,
raft::device_vector_view<const map_t, idx_t> map,
raft::device_matrix_view<matrix_t, idx_t, row_major> out,
map_xform_t transform_op = raft::identity_op())
{
RAFT_EXPECTS(out.extent(0) == map.extent(0),
"Number of rows in output matrix must equal the size of the map vector");
RAFT_EXPECTS(out.extent(1) == in.extent(1),
"Number of columns in input and output matrices must be equal.");
detail::gather(
const_cast<matrix_t*>(in.data_handle()), // TODO: There's a better way to handle this
in.extent(1),
in.extent(0),
map.data_handle(),
map.extent(0),
out.data_handle(),
transform_op,
resource::get_cuda_stream(handle));
}
/**
* @brief Conditionally copies rows according to a transformed map.
*
* For each output row, read the index in the input matrix from the map, read a stencil value,
* apply a predicate to the stencil value, and if true, apply a transformation if specified to the
* input index, and copy the row.
*
* @tparam matrix_t Matrix element type
* @tparam map_t Integer type of map elements
* @tparam stencil_t Value type for stencil (input type for the pred_op)
* @tparam unary_pred_t Unary lambda expression or operator type. unary_pred_t's result
* type must be convertible to bool type.
* @tparam map_xform_t Unary lambda expression or operator type. MapTransformOp's result type must
* be convertible to idx_t.
* @tparam idx_t Integer type used for indexing
* @param[in] handle raft handle for managing resources
* @param[in] in Input matrix, dim = [N, D] (row-major)
* @param[in] map Map of row indices to gather, dim = [map_length]
* @param[in] stencil Vector of stencil values, dim = [map_length]
* @param[out] out Output matrix, dim = [map_length, D] (row-major)
* @param[in] pred_op Predicate to apply to the stencil values
* @param[in] transform_op (optional) Transformation to apply to map values
*/
template <typename matrix_t,
typename map_t,
typename stencil_t,
typename unary_pred_t,
typename idx_t,
typename map_xform_t = raft::identity_op>
void gather_if(const raft::resources& handle,
raft::device_matrix_view<const matrix_t, idx_t, row_major> in,
raft::device_matrix_view<matrix_t, idx_t, row_major> out,
raft::device_vector_view<const map_t, idx_t> map,
raft::device_vector_view<const stencil_t, idx_t> stencil,
unary_pred_t pred_op,
map_xform_t transform_op = raft::identity_op())
{
RAFT_EXPECTS(out.extent(0) == map.extent(0),
"Number of rows in output matrix must equal the size of the map vector");
RAFT_EXPECTS(out.extent(1) == in.extent(1),
"Number of columns in input and output matrices must be equal.");
RAFT_EXPECTS(map.extent(0) == stencil.extent(0),
"Number of elements in stencil must equal number of elements in map");
detail::gather_if(const_cast<matrix_t*>(in.data_handle()),
in.extent(1),
in.extent(0),
map.data_handle(),
stencil.data_handle(),
map.extent(0),
out.data_handle(),
pred_op,
transform_op,
resource::get_cuda_stream(handle));
}
/**
* @brief In-place gather elements in a row-major matrix according to a
* map. The map specifies the new order in which rows of the input matrix are
* rearranged, i.e. for each output row, read the index in the input matrix
* from the map, apply a transformation to this input index if specified, and copy the row.
* map[i]. For example, the matrix [[1, 2, 3], [4, 5, 6], [7, 8, 9]] with the
* map [2, 0, 1] will be transformed to [[7, 8, 9], [1, 2, 3], [4, 5, 6]].
* Batching is done on columns and an additional scratch space of
* shape n_rows * cols_batch_size is created. For each batch, chunks
* of columns from each row are copied into the appropriate location
* in the scratch space and copied back to the corresponding locations
* in the input matrix.
*
* @tparam matrix_t Matrix element type
* @tparam map_t Integer type of map elements
* @tparam map_xform_t Unary lambda expression or operator type. MapTransformOp's result type must
* be convertible to idx_t.
* @tparam idx_t Integer type used for indexing
*
* @param[in] handle raft handle
* @param[inout] inout input matrix (n_rows * n_cols)
* @param[in] map Pointer to the input sequence of gather locations
* @param[in] col_batch_size (optional) column batch size. Determines the shape of the scratch space
* (map_length, col_batch_size). When set to zero (default), no batching is done and an additional
* scratch space of shape (map_lengthm, n_cols) is created.
* @param[in] transform_op (optional) Transformation to apply to map values
*/
template <typename matrix_t,
typename map_t,
typename idx_t,
typename map_xform_t = raft::identity_op>
void gather(raft::resources const& handle,
raft::device_matrix_view<matrix_t, idx_t, raft::layout_c_contiguous> inout,
raft::device_vector_view<const map_t, idx_t, raft::layout_c_contiguous> map,
idx_t col_batch_size = 0,
map_xform_t transform_op = raft::identity_op())
{
detail::gather(handle, inout, map, transform_op, col_batch_size);
}
/** @} */ // end of group matrix_gather
} // namespace raft::matrix
| 0 |
rapidsai_public_repos/raft/cpp/include/raft | rapidsai_public_repos/raft/cpp/include/raft/matrix/argmin.cuh | /*
* Copyright (c) 2022-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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.
*/
#pragma once
#include <raft/core/device_mdspan.hpp>
#include <raft/core/resource/cuda_stream.hpp>
#include <raft/matrix/detail/math.cuh>
namespace raft::matrix {
/**
* @defgroup argmin Argmin operation
* @{
*/
/**
* @brief Argmin: find the col idx with minimum value for each row
* @param[in] handle: raft handle
* @param[in] in: input matrix of size (n_rows, n_cols)
* @param[out] out: output vector of size n_rows
*/
template <typename math_t, typename idx_t, typename matrix_idx_t>
void argmin(raft::resources const& handle,
raft::device_matrix_view<const math_t, matrix_idx_t, row_major> in,
raft::device_vector_view<idx_t, matrix_idx_t> out)
{
RAFT_EXPECTS(out.extent(0) == in.extent(0),
"Size of output vector must equal number of rows in input matrix.");
detail::argmin(in.data_handle(),
in.extent(1),
in.extent(0),
out.data_handle(),
resource::get_cuda_stream(handle));
}
/** @} */ // end of group argmin
} // namespace raft::matrix
| 0 |
rapidsai_public_repos/raft/cpp/include/raft | rapidsai_public_repos/raft/cpp/include/raft/matrix/select_k.cuh | /*
* Copyright (c) 2022-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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.
*/
#pragma once
#include "detail/select_k.cuh"
#include <raft/core/resource/cuda_stream.hpp>
#include <raft/core/device_mdspan.hpp>
#include <raft/core/nvtx.hpp>
#include <raft/core/resources.hpp>
#include <optional>
namespace raft::matrix {
/**
* @defgroup select_k Batched-select k smallest or largest key/values
* @{
*/
/**
* Select k smallest or largest key/values from each row in the input data.
*
* If you think of the input data `in_val` as a row-major matrix with `len` columns and
* `batch_size` rows, then this function selects `k` smallest/largest values in each row and fills
* in the row-major matrix `out_val` of size (batch_size, k).
*
* Example usage
* @code{.cpp}
* using namespace raft;
* // get a 2D row-major array of values to search through
* auto in_values = {... input device_matrix_view<const float, int64_t, row_major> ...}
* // prepare output arrays
* auto out_extents = make_extents<int64_t>(in_values.extent(0), k);
* auto out_values = make_device_mdarray<float>(handle, out_extents);
* auto out_indices = make_device_mdarray<int64_t>(handle, out_extents);
* // search `k` smallest values in each row
* matrix::select_k<float, int64_t>(
* handle, in_values, std::nullopt, out_values.view(), out_indices.view(), true);
* @endcode
*
* @tparam T
* the type of the keys (what is being compared).
* @tparam IdxT
* the index type (what is being selected together with the keys).
*
* @param[in] handle container of reusable resources
* @param[in] in_val
* inputs values [batch_size, len];
* these are compared and selected.
* @param[in] in_idx
* optional input payload [batch_size, len];
* typically, these are indices of the corresponding `in_val`.
* If `in_idx` is `std::nullopt`, a contiguous array `0...len-1` is implied.
* @param[out] out_val
* output values [batch_size, k];
* the k smallest/largest values from each row of the `in_val`.
* @param[out] out_idx
* output payload (e.g. indices) [batch_size, k];
* the payload selected together with `out_val`.
* @param[in] select_min
* whether to select k smallest (true) or largest (false) keys.
* @param[in] sorted
* whether to make sure selected pairs are sorted by value
*/
template <typename T, typename IdxT>
void select_k(raft::resources const& handle,
raft::device_matrix_view<const T, int64_t, row_major> in_val,
std::optional<raft::device_matrix_view<const IdxT, int64_t, row_major>> in_idx,
raft::device_matrix_view<T, int64_t, row_major> out_val,
raft::device_matrix_view<IdxT, int64_t, row_major> out_idx,
bool select_min,
bool sorted = false)
{
RAFT_EXPECTS(out_val.extent(1) <= int64_t(std::numeric_limits<int>::max()),
"output k must fit the int type.");
auto batch_size = in_val.extent(0);
auto len = in_val.extent(1);
auto k = int(out_val.extent(1));
RAFT_EXPECTS(batch_size == out_val.extent(0), "batch sizes must be equal");
RAFT_EXPECTS(batch_size == out_idx.extent(0), "batch sizes must be equal");
if (in_idx.has_value()) {
RAFT_EXPECTS(batch_size == in_idx->extent(0), "batch sizes must be equal");
RAFT_EXPECTS(len == in_idx->extent(1), "value and index input lengths must be equal");
}
RAFT_EXPECTS(int64_t(k) == out_idx.extent(1), "value and index output lengths must be equal");
return detail::select_k<T, IdxT>(handle,
in_val.data_handle(),
in_idx.has_value() ? in_idx->data_handle() : nullptr,
batch_size,
len,
k,
out_val.data_handle(),
out_idx.data_handle(),
select_min,
nullptr,
sorted);
}
/** @} */ // end of group select_k
} // namespace raft::matrix
| 0 |
rapidsai_public_repos/raft/cpp/include/raft | rapidsai_public_repos/raft/cpp/include/raft/matrix/print.cuh | /*
* Copyright (c) 2022-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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.
*/
#pragma once
#include <raft/core/device_mdspan.hpp>
#include <raft/core/host_mdspan.hpp>
#include <raft/core/resource/cuda_stream.hpp>
#include <raft/matrix/detail/matrix.cuh>
#include <raft/matrix/matrix_types.hpp>
namespace raft::matrix {
/**
* @defgroup matrix_print Matrix print operations
* @{
*/
/**
* @brief Prints the data stored in GPU memory
* @tparam m_t type of matrix elements
* @tparam idx_t integer type used for indexing
* @param[in] handle: raft handle
* @param[in] in: input matrix
* @param[in] separators: horizontal and vertical separator characters
*/
template <typename m_t, typename idx_t>
void print(raft::resources const& handle,
raft::device_matrix_view<const m_t, idx_t, col_major> in,
print_separators& separators)
{
detail::print(in.data_handle(),
in.extent(0),
in.extent(1),
separators.horizontal,
separators.vertical,
resource::get_cuda_stream(handle));
}
/** @} */ // end group matrix_print
} // namespace raft::matrix
| 0 |
rapidsai_public_repos/raft/cpp/include/raft | rapidsai_public_repos/raft/cpp/include/raft/matrix/col_wise_sort.cuh | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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.
*/
#ifndef __COL_WISE_SORT_H
#define __COL_WISE_SORT_H
#pragma once
#include <raft/core/device_mdarray.hpp>
#include <raft/core/device_mdspan.hpp>
#include <raft/core/resource/cuda_stream.hpp>
#include <raft/matrix/detail/columnWiseSort.cuh>
namespace raft::matrix {
/**
* @brief sort columns within each row of row-major input matrix and return sorted indexes
* modelled as key-value sort with key being input matrix and value being index of values
* @param in: input matrix
* @param out: output value(index) matrix
* @param n_rows: number rows of input matrix
* @param n_columns: number columns of input matrix
* @param bAllocWorkspace: check returned value, if true allocate workspace passed in workspaceSize
* @param workspacePtr: pointer to workspace memory
* @param workspaceSize: Size of workspace to be allocated
* @param stream: cuda stream to execute prim on
* @param sortedKeys: Optional, output matrix for sorted keys (input)
*/
template <typename InType, typename OutType>
void sort_cols_per_row(const InType* in,
OutType* out,
int n_rows,
int n_columns,
bool& bAllocWorkspace,
void* workspacePtr,
size_t& workspaceSize,
cudaStream_t stream,
InType* sortedKeys = nullptr)
{
detail::sortColumnsPerRow<InType, OutType>(
in, out, n_rows, n_columns, bAllocWorkspace, workspacePtr, workspaceSize, stream, sortedKeys);
}
/**
* @defgroup col_wise_sort Sort rows within each column
* @{
*/
/**
* @brief sort columns within each row of row-major input matrix and return sorted indexes
* modelled as key-value sort with key being input matrix and value being index of values
* @tparam in_t: element type of input matrix
* @tparam out_t: element type of output matrix
* @tparam matrix_idx_t: integer type for matrix indexing
* @tparam sorted_keys_t: std::optional<raft::device_matrix_view<in_t, matrix_idx_t,
* raft::row_major>> @c sorted_keys_opt
* @param[in] handle: raft handle
* @param[in] in: input matrix
* @param[out] out: output value(index) matrix
* @param[out] sorted_keys_opt: std::optional, output matrix for sorted keys (input)
*/
template <typename in_t, typename out_t, typename matrix_idx_t, typename sorted_keys_t>
void sort_cols_per_row(raft::resources const& handle,
raft::device_matrix_view<const in_t, matrix_idx_t, raft::row_major> in,
raft::device_matrix_view<out_t, matrix_idx_t, raft::row_major> out,
sorted_keys_t&& sorted_keys_opt)
{
std::optional<raft::device_matrix_view<in_t, matrix_idx_t, raft::row_major>> sorted_keys =
std::forward<sorted_keys_t>(sorted_keys_opt);
RAFT_EXPECTS(in.extent(1) == out.extent(1) && in.extent(0) == out.extent(0),
"Input and output matrices must have the same shape.");
if (sorted_keys.has_value()) {
RAFT_EXPECTS(in.extent(1) == sorted_keys.value().extent(1) &&
in.extent(0) == sorted_keys.value().extent(0),
"Input and `sorted_keys` matrices must have the same shape.");
}
size_t workspace_size = 0;
bool alloc_workspace = false;
in_t* keys = sorted_keys.has_value() ? sorted_keys.value().data_handle() : nullptr;
detail::sortColumnsPerRow<in_t, out_t>(in.data_handle(),
out.data_handle(),
in.extent(0),
in.extent(1),
alloc_workspace,
(void*)nullptr,
workspace_size,
resource::get_cuda_stream(handle),
keys);
if (alloc_workspace) {
auto workspace = raft::make_device_vector<char>(handle, workspace_size);
detail::sortColumnsPerRow<in_t, out_t>(in.data_handle(),
out.data_handle(),
in.extent(0),
in.extent(1),
alloc_workspace,
(void*)workspace.data_handle(),
workspace_size,
resource::get_cuda_stream(handle),
keys);
}
}
/**
* @brief Overload of `sort_keys_per_row` to help the
* compiler find the above overload, in case users pass in
* `std::nullopt` for one or both of the optional arguments.
*
* Please see above for documentation of `sort_keys_per_row`.
*/
template <typename... Args, typename = std::enable_if_t<sizeof...(Args) == 3>>
void sort_cols_per_row(Args... args)
{
sort_cols_per_row(std::forward<Args>(args)..., std::nullopt);
}
/** @} */ // end of group col_wise_sort
}; // end namespace raft::matrix
#endif | 0 |
rapidsai_public_repos/raft/cpp/include/raft | rapidsai_public_repos/raft/cpp/include/raft/matrix/diagonal.cuh | /*
* Copyright (c) 2022-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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.
*/
#pragma once
#include <raft/core/device_mdspan.hpp>
#include <raft/core/resource/cuda_stream.hpp>
#include <raft/matrix/detail/matrix.cuh>
#include <raft/matrix/init.cuh>
#include <raft/util/input_validation.hpp>
namespace raft::matrix {
/**
* @defgroup matrix_diagonal Matrix diagonal operations
* @{
*/
/**
* @brief Initialize a diagonal matrix with a vector
* @param[in] handle: raft handle
* @param[in] vec: vector of length k = min(n_rows, n_cols)
* @param[out] matrix: matrix of size n_rows x n_cols
*/
template <typename m_t, typename idx_t, typename layout>
void set_diagonal(raft::resources const& handle,
raft::device_vector_view<const m_t, idx_t> vec,
raft::device_matrix_view<m_t, idx_t, layout> matrix)
{
RAFT_EXPECTS(vec.extent(0) == std::min(matrix.extent(0), matrix.extent(1)),
"Diagonal vector must be min(matrix.n_rows, matrix.n_cols)");
constexpr auto is_row_major = std::is_same_v<layout, layout_c_contiguous>;
detail::initializeDiagonalMatrix(vec.data_handle(),
matrix.data_handle(),
matrix.extent(0),
matrix.extent(1),
is_row_major,
resource::get_cuda_stream(handle));
}
/**
* @brief Initialize a diagonal matrix with a vector
* @param handle: raft handle
* @param[in] matrix: matrix of size n_rows x n_cols
* @param[out] vec: vector of length k = min(n_rows, n_cols)
*/
template <typename m_t, typename idx_t, typename layout>
void get_diagonal(raft::resources const& handle,
raft::device_matrix_view<const m_t, idx_t, layout> matrix,
raft::device_vector_view<m_t, idx_t> vec)
{
RAFT_EXPECTS(vec.extent(0) == std::min(matrix.extent(0), matrix.extent(1)),
"Diagonal vector must be min(matrix.n_rows, matrix.n_cols)");
constexpr auto is_row_major = std::is_same_v<layout, layout_c_contiguous>;
detail::getDiagonalMatrix(vec.data_handle(),
matrix.data_handle(),
matrix.extent(0),
matrix.extent(1),
is_row_major,
resource::get_cuda_stream(handle));
}
/**
* @brief Take reciprocal of elements on diagonal of square matrix (in-place)
* @param handle raft handle
* @param[inout] inout: square input matrix with size len x len
*/
template <typename m_t, typename idx_t, typename layout>
void invert_diagonal(raft::resources const& handle,
raft::device_matrix_view<m_t, idx_t, layout> inout)
{
// TODO: Use get_diagonal for this to support rectangular
RAFT_EXPECTS(inout.extent(0) == inout.extent(1), "Matrix must be square.");
detail::getDiagonalInverseMatrix(
inout.data_handle(), inout.extent(0), resource::get_cuda_stream(handle));
}
/**
* @brief create an identity matrix
* @tparam math_t data-type upon which the math operation will be performed
* @tparam idx_t indexing type used for the output
* @tparam layout_t layout of the matrix data (must be row or col major)
* @param[in] handle: raft handle
* @param[out] out: output matrix
*/
template <typename math_t, typename idx_t, typename layout_t>
void eye(const raft::resources& handle, raft::device_matrix_view<math_t, idx_t, layout_t> out)
{
RAFT_EXPECTS(raft::is_row_or_column_major(out), "Output must be contiguous");
auto diag = raft::make_device_vector<math_t, idx_t>(handle, min(out.extent(0), out.extent(1)));
RAFT_CUDA_TRY(cudaMemsetAsync(
out.data_handle(), 0, out.size() * sizeof(math_t), resource::get_cuda_stream(handle)));
raft::matrix::fill(handle, diag.view(), math_t(1));
set_diagonal(handle, raft::make_const_mdspan(diag.view()), out);
}
/** @} */ // end of group matrix_diagonal
} // namespace raft::matrix
| 0 |
rapidsai_public_repos/raft/cpp/include/raft | rapidsai_public_repos/raft/cpp/include/raft/matrix/reverse.cuh | /*
* Copyright (c) 2022-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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.
*/
#pragma once
#include <raft/core/device_mdspan.hpp>
#include <raft/core/resource/cuda_stream.hpp>
#include <raft/matrix/detail/matrix.cuh>
#include <raft/util/input_validation.hpp>
namespace raft::matrix {
/**
* @defgroup matrix_reverse Matrix reverse
* @{
*/
/**
* @brief Reverse the columns of a matrix in place (i.e. first column and
* last column are swapped)
* @param[in] handle: raft handle
* @param[inout] inout: input and output matrix
*/
template <typename m_t, typename idx_t, typename layout_t>
void col_reverse(raft::resources const& handle,
raft::device_matrix_view<m_t, idx_t, layout_t> inout)
{
RAFT_EXPECTS(raft::is_row_or_column_major(inout), "Unsupported matrix layout");
if (raft::is_col_major(inout)) {
detail::colReverse(
inout.data_handle(), inout.extent(0), inout.extent(1), resource::get_cuda_stream(handle));
} else {
detail::rowReverse(
inout.data_handle(), inout.extent(1), inout.extent(0), resource::get_cuda_stream(handle));
}
}
/**
* @brief Reverse the rows of a matrix in place (i.e. first row and last
* row are swapped)
* @param[in] handle: raft handle
* @param[inout] inout: input and output matrix
*/
template <typename m_t, typename idx_t, typename layout_t>
void row_reverse(raft::resources const& handle,
raft::device_matrix_view<m_t, idx_t, layout_t> inout)
{
RAFT_EXPECTS(raft::is_row_or_column_major(inout), "Unsupported matrix layout");
if (raft::is_col_major(inout)) {
detail::rowReverse(
inout.data_handle(), inout.extent(0), inout.extent(1), resource::get_cuda_stream(handle));
} else {
detail::colReverse(
inout.data_handle(), inout.extent(1), inout.extent(0), resource::get_cuda_stream(handle));
}
}
/** @} */ // end group matrix_reverse
} // namespace raft::matrix | 0 |
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