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
+ [perl] Add generation of sub countSupportedDeviceFunctions
+ [FIX] Do not perform any replacement for supported device functions
+ [perl] Sync hipify-perl accordingly
+ 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
+ Move generating hipify-perl and hipify-python into separate namespaces and files
+ Move getAbsoluteFilePath and getAbsoluteDirectoryPath to StringUtils
+ 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.
+ Start to translate preprocessor's false conditional blocks too:
based on clang's https://reviews.llvm.org/D66597;
available only starting from LLVM 10.0 or trunk.
+ Option -skip-excluded-preprocessor-conditional-blocks for skipping excluded conditional blocks:
the default behavior for hipify-clang built with LLVM < 10.0;
false by default for hipify-clang built with LLVM 10 or trunk.
+ Add 4 preprocessor unit tests, 2 of which are LLVM 10.0 only
+ Update couple of existing tests by setting -skip-excluded-preprocessor-conditional-blocks option:
update lit testing accordingly
...while including HIP main header file, which is inserted now after #indef controlling macro, or after #pragma once, if it's occurred earlier.
+ Add a couple of unit tests.
ToDo: Check backward compatibility on older clang versions.
+ CUDA version - version in which API has appeared and (optional) last version before abandoning it; no value in case of earlier versions < 7.5.
+ Fix typos, add missing references.
+ CUDA version - version in which API has appeared and (optional) last version before abandoning it; no value in case of earlier versions < 7.5.
+ Fix typos
+ Fixes the following assert in debug version:
Assertion failed: (S.empty() || S[0] != '-') && "Option can't start with '-", file C:\GIT\LLVM\trunk-for-submits\llvm-project\llvm\lib\Support\CommandLine.cpp, line 440
+ DashDash option left declared in order to be listed in help.
* Add Max Texture 1D,2D,3D device properties
* Corrected testcase to use enums defined in hipDeviceAttribute_t
* Added texture 1D,2D and 3D support for NVIDIA path
[Reason] To be compatible with CUDA [#1133]
Update HIP code, hipify-clang, tests and docs
[TODO] Add support of the corresponding functions on nvcc fallback path
+ Add option -print-stats-csv to dump statistics to CSV file
+ If -o-dir is specified, CSV file will be dumped there
+ Generate 1 summary file sum_stat.csv in case of multiple sources
+ Makes hip_Memcpy2D struct compatible with CUDA_MEMCPY2D struct
+ Add hipMemcpyParam2D support in nvcc fallback path
+ Update hipify-clang, tests and docs accordingly
+ Add missing cuda_profiler_api.h to hip/hip_profile.h transformation.
NOTE: HIP Profiler API is under development. This is NOT WORKING example.
TODO: Find out a way to generate HIP_SCOPED_MARKER, HIP_BEGIN_MARKER, HIP_END_MARKER, declared in hip/hip_profile.h in particular place (signatures are to obtain).
+ Only a generation of transformation map of CUDA entities is implemented.
+ 2 hipify-clang options are added: -python, -o-python-map-dir.
+ Explicitly set -roc option for cuda_to_hip_mappings.py generation.
+ Generated file already might be used by pytorch team.
+ Only a generation of transformation map of CUDA entities supported by HIP is implemented.
+ 3 hipify-clang options are added: -perl, -o-perl-map, -o-perl-map-dir.
+ OptionsParser mode is changed from OneOrMore to Optional to support hipify-perl generation without actual hipification.
+ Add explicit control of source files specification absence in case of no perl generation.
Evgeny Mankov
ansurya