Summary: Right now the path for each lib in whole_archive_link when MSVC is used as the compiler is not a full path - and it's not even the correct path when VS is used to build. This patch sets the lib path to a full path using CMAKE_CFG_INTDIR which means the path will be correct regardless of whether ninja, make or VS is used and it will always be a full path.
Reviewers: denis13, jpienaar
Reviewed By: jpienaar
Subscribers: mgorny, mehdi_amini, rriddle, jpienaar, burmako, shauheen, antiagainst, nicolasvasilache, arpith-jacob, mgester, lucyrfox, llvm-commits, asmith
Tags: #llvm
Differential Revision: https://reviews.llvm.org/D72403
This is needed to consume mlir after it has been installed of the source
tree. Without this, consuming mlir results a build error.
Differential Revision: https://reviews.llvm.org/D72232
Summary:
Prior to this, "ninja install-mlir-headers" failed with an error indicating
the missing target. Verified that from a clean build, the installed
headers include generated files.
Subscribers: mgorny, mehdi_amini, rriddle, jpienaar, burmako, shauheen, antiagainst, nicolasvasilache, llvm-commits
Tags: #llvm
Differential Revision: https://reviews.llvm.org/D72045
The issue is that /WHOLEARCHIVE is interpreted differently in LLD, which needs the same exact path as the .lib; whereas link.exe can take the library name, withoutout a path or extension, if that was already supplied on the cmd-line. I'll write a follow-up patch to fix the issue in LLD.
Currently when you build the `install` target, TableGen files don't get
installed.
TableGen files are needed when authoring new MLIR dialects, but right
now they're missing when using the pre-built binaries.
Differential Revision: https://reviews.llvm.org/D71958
This CL allows specifying an additional name for specifying the .td file that is used to generate the doc for a dialect. This is necessary for a dialect like Linalg which has different "types" of ops that are used in different contexts.
This CL also restructures the Linalg documentation and renames LinalgLibraryOps -> LinalgStructuredOps but is otherwise NFC.
PiperOrigin-RevId: 286450414
This tool allows to execute MLIR IR snippets written in the GPU dialect
on a CUDA capable GPU. For this to work, a working CUDA install is required
and the build has to be configured with MLIR_CUDA_RUNNER_ENABLED set to 1.
PiperOrigin-RevId: 256551415
The actual transformation from PTX source to a CUDA binary is now factored out,
enabling compiling and testing the transformations independently of a CUDA
runtime.
MLIR has still to be built with NVPTX target support for the conversions to be
built and tested.
PiperOrigin-RevId: 255167139
The -all_load flag will apply to all future libraries added on the command line,
while the -force_load flag only applies to the next library. Using the latter
allows to selectively force load the specific libraries we want.
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PiperOrigin-RevId: 244949770
This is making up for some differences in standard library and linker flags.
It also get rid of the requirement to build with RTTI.
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PiperOrigin-RevId: 241348845
Stella Stamenova