Begin upstreaming of CUDA Fortran support in LLVM Flang.
This first patch implements parsing for CUDA Fortran syntax,
including:
- a new LanguageFeature enum value for CUDA Fortran
- driver change to enable that feature for *.cuf and *.CUF source files
- parse tree representation of CUDA Fortran syntax
- dumping and unparsing of the parse tree
- the actual parsers for CUDA Fortran syntax
- prescanning support for !@CUF and !$CUF
- basic sanity testing via unparsing and parse tree dumps
... along with any minimized changes elsewhere to make these
work, mostly no-op cases in common::visitors instances in
semantics and lowering to allow them to compile in the face
of new types in variant<> instances in the parse tree.
Because CUDA Fortran allows the kernel launch chevron syntax
("call foo<<<blocks, threads>>>()") only on CALL statements and
not on function references, the parse tree nodes for CallStmt,
FunctionReference, and their shared Call were rearranged a bit;
this caused a fair amount of one-line changes in many files.
More patches will follow that implement CUDA Fortran in the symbol
table and name resolution, and then semantic checking.
Differential Revision: https://reviews.llvm.org/D150159
This is an ongoing series of commits that are reformatting our
Python code. This catches the last of the python files to
reformat. Since they where so few I bunched them together.
Reformatting is done with `black`.
If you end up having problems merging this commit because you
have made changes to a python file, the best way to handle that
is to run git checkout --ours <yourfile> and then reformat it
with black.
If you run into any problems, post to discourse about it and
we will try to help.
RFC Thread below:
https://discourse.llvm.org/t/rfc-document-and-standardize-python-code-style
Reviewed By: jhenderson, #libc, Mordante, sivachandra
Differential Revision: https://reviews.llvm.org/D150784
These are experimental changes in Flang AA to provide
at least some means to disambiguate memory accesses in some
simple cases. This AA is still not used by any transformation,
so the LIT tests are the only way to trigger it currently.
I will further look into applying this AA within Flang
to address some of the known performance issues in the benchmarks.
Credits to @Renaud-K for the initial implementation.
Differential Revision: https://reviews.llvm.org/D141410
