File: __clang_openmp_math.h

package info (click to toggle)
llvm-toolchain-9 1%3A9.0.1-16
  • links: PTS, VCS
  • area: main
  • in suites: bullseye
  • size: 882,436 kB
  • sloc: cpp: 4,167,636; ansic: 714,256; asm: 457,610; python: 155,927; objc: 65,094; sh: 42,856; lisp: 26,908; perl: 7,786; pascal: 7,722; makefile: 6,881; ml: 5,581; awk: 3,648; cs: 2,027; xml: 888; javascript: 381; ruby: 156
file content (35 lines) | stat: -rw-r--r-- 1,237 bytes parent folder | download | duplicates (2)
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
/*===---- __clang_openmp_math.h - OpenMP target math support ---------------===
 *
 * Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
 * See https://llvm.org/LICENSE.txt for license information.
 * SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 *
 *===-----------------------------------------------------------------------===
 */

#if defined(__NVPTX__) && defined(_OPENMP)
/// TODO:
/// We are currently reusing the functionality of the Clang-CUDA code path
/// as an alternative to the host declarations provided by math.h and cmath.
/// This is suboptimal.
///
/// We should instead declare the device functions in a similar way, e.g.,
/// through OpenMP 5.0 variants, and afterwards populate the module with the
/// host declarations by unconditionally including the host math.h or cmath,
/// respectively. This is actually what the Clang-CUDA code path does, using
/// __device__ instead of variants to avoid redeclarations and get the desired
/// overload resolution.

#define __CUDA__

#if defined(__cplusplus)
  #include <__clang_cuda_cmath.h>
#endif

#undef __CUDA__

/// Magic macro for stopping the math.h/cmath host header from being included.
#define __CLANG_NO_HOST_MATH__

#endif