Commit Graph

8 Commits

Author SHA1 Message Date
Yaxun (Sam) Liu f7e87dd6ff [CUDA][HIP] Change default lang std to c++14
Currently clang and nvcc use c++14 as default std for C++.
gcc 11 even uses c++17 as default std for C++. However,
clang uses c++98 as default std for CUDA/HIP.

As c++14 has been well adopted and became default for
clang, it seems reasonable to use c++14 as default std
for CUDA/HIP.

Reviewed by: Artem Belevich

Differential Revision: https://reviews.llvm.org/D103221
2021-06-01 20:45:10 -04:00
Yaxun (Sam) Liu 9275e14379 recommit 4fc752b30b [CUDA][HIP] Always defer diagnostics for wrong-sided reference
Fixed regression in test builtin-amdgcn-atomic-inc-dec-failure.cpp.
2020-07-17 09:14:39 -04:00
Yaxun (Sam) Liu a46ef7d42d Revert "[CUDA][HIP] Always defer diagnostics for wrong-sided reference"
This reverts commit 4fc752b30b.
2020-07-17 08:10:56 -04:00
Yaxun (Sam) Liu 4fc752b30b [CUDA][HIP] Always defer diagnostics for wrong-sided reference
When a device function calls a host function or vice versa, this is wrong-sided
reference. Currently clang immediately diagnose it. This is different from nvcc
behavior, where it is diagnosed only if the function is really emitted.

Current clang behavior causes false alarms for valid use cases.

This patch let clang always defer diagnostics for wrong-sided
reference.

Differential Revision: https://reviews.llvm.org/D83893
2020-07-17 07:51:55 -04:00
Jacques Pienaar a50178c23e CUDA: Add option to allow host device functions to call host functions
Commiting code from review http://reviews.llvm.org/D7841

llvm-svn: 230385
2015-02-24 21:45:33 +00:00
Reid Kleckner bbc0178518 CUDA host device code with two code paths
Summary:
Allow CUDA host device functions with two code paths using __CUDA_ARCH__
to differentiate between code path being compiled.

For example:
  __host__ __device__ void host_device_function(void) {
  #ifdef __CUDA_ARCH__
    device_only_function();
  #else
    host_only_function();
  #endif
  }

Patch by Jacques Pienaar.

Reviewed By: rnk

Differential Revision: http://reviews.llvm.org/D6457

llvm-svn: 223271
2014-12-03 21:53:36 +00:00
Eli Bendersky 3468d9d929 Move all CUDA testing inputs to Inputs/ subdirectory inside the tests.
llvm-svn: 207453
2014-04-28 22:21:28 +00:00
Peter Collingbourne 7277fe8aed CUDA: diagnose invalid calls across targets
llvm-svn: 140978
2011-10-02 23:49:40 +00:00