By implicit unconditional passing -fno-delayed-template-parsing option (which appeared in LLVM 3.8.0, thus doesn't need compatibility wrapping) to hipify-clang.
[Reason] To parse uncalled template functions otherwise they are not parsed without calling, thus not hipified.
Affects cub_03.cu test, which has uncalled global template function.
[Reason] To support maximum CUDA features in offline tests
+ Add defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600 restriction for atomicAdd on doubles in atomics.cu.
So if LLVM < 7 and --cuda-gpu-arch doesn't work, __CUDA_ARCH__ is unset too (350 by default in clang);
if LLVM >= 7 --cuda-gpu-arch is used and __CUDA_ARCH__ is set based on it.
[Reason] To support maximum CUDA features in offline tests
+ Add CUDA_VERSION >= 800 restriction for atomics.cu
[TODO] Find a way to use or exclude atomicAdd for doubles if LLVM < 7, because
LLVM 6.0.1 and older do not use --cuda-gpu-arch in clang's Driver code at all (option is only declared)
+ affects cuDNN and CUB tests, paths to libraries of which are defined by CUDA_DNN_ROOT_DIR and CUDA_CUB_ROOT_DIR
+ Warn about excluding and why, for instance:
"WARN: cuDNN tests are excluded due to unset CUDA_DNN_ROOT_DIR"
+ Add one matcher (will be more)
+ Update Maps and Statistics
+ Add cub_01.cu unit test
+ Update lit harness to support standalone CUB
+ Update README.md
+ Update hipify-perl (only CUB header is supported for now)
[IMPORTANT]
clang (and hipify-clang) works correctly only with official NVLabs version on GitHub.
Compilation of CUB from official CUDA release has conflicts with THRUST.
Thus, to compile CUB sources, option "-I" should be specified to the cloned CUB from NVLAB on GitHub.
directed_tests/runtimeApi/module/hipLaunchCooperativeKernel.tst - Disabling test temporarily until driver support is available.
directed_tests/runtimeApi/memory/hipArray.tst - Disabling test temporarily to reimplement it correctly.
Added new memory API's hipMemAllocPitch, hipMemAllocHost, hipMemsetD16, hipMemsetD16Async, hipMemsetD8Async
Modified to support all scenarios hipMemcpyParam2DAsync, hipMemcpyParam2D.
[REASON]
1. hip-clang is fine with the templated kernel launch, brackets are unneeded: HIP_KERNEL_NAME(...) __VA_ARGS__
2. HCC is not, thus: HIP_KERNEL_NAME(...) (__VA_ARGS__)
[TODO] Clean-up entirely kernel name wrapping when HCC is finally obsolete.
+ Update perl generation, hipify-perl, and affected tests accordingly.
+ Perl part of [#1458]
+ Affected functions: hipFuncSetCacheConfig, hipFuncGetAttributes
+ Implement function generateHostFunctions() in hipify-clang for that purposes
+ Update hipify-perl accordingly
+ Affected functions: hipFuncSetCacheConfig, hipFuncGetAttributes
+ Add a corresponding Matcher cudaReinterpretCastArgFuncCall
+ Add reinterpret_cast.cu test
TODO: Do the same for hipify-perl
cudaMemcpyToSymbol, cudaMemcpyToSymbolAsync, cudaGetSymbolSize, cudaGetSymbolAddress, cudaMemcpyFromSymbol, cudaMemcpyFromSymbolAsync
+ Add a corresponding cudaSymbolFuncCall matcher.
+ Add device_symbols.cu test for the above 6 functions, update existed.
+ Fix dim3() type cast issue, update affected tests.
TODO: Do the same in hipify-perl
+ Do not treat somenamespace::device_function_name as a device function
+ Fix generation of warnUnsupportedDeviceFunctions function in hipify-clang
+ Update hipify-perl based on hipify-clang -perl generation
+ Update device test math_functions.cu for hipify-perl
[Restrictions]
- hipify-perl is yet unable to handle function declarations in user namespaces
- hipify-perl is yet unable to handle using directive
* [hip][tests] add a unit test for testing hipLaunchCooperativeKernel
* use __ockl_grid_sync function
* remove already defined __ockl_grid_sync function
* use sync function for grid synchronization
+ Add a corresponding matcher cudaDeviceFuncCall to match only (__device__ or __global__) and not __host__ functions.
+ Add a corresponding device functions mapping:
only unsupported are listed, cause supported are exactly the same as of CUDA and do not need transformation;
make FindAndReplace for device functions separated from host API calls.
+ Add a test to distinguish device functions and user-defined.
Anusha Godavarthy Surya
satyanveshd
Rahul Garg
Evgeny Mankov
Vladislav Sytchenko
vsytch
Jatin Chaudhary
ansurya
Sarbojit2019
Yaxun (Sam) Liu
AlexBinXie
Aryan Salmanpour