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llvm-project/mlir/tools/mlir-translate/CMakeLists.txt

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Add build files and update README. * Add initial version of build files; * Update README with instructions to download and build MLIR from github; -- PiperOrigin-RevId: 241102092
2019-03-30 13:10:12 +08:00
set(LIBS
Remove static registration for dialects, and the "alwayslink" hack for passes In the previous state, we were relying on forcing the linker to include all libraries in the final binary and the global initializer to self-register every piece of the system. This change help moving away from this model, and allow users to compose pieces more freely. The current change is only "fixing" the dialect registration and avoiding relying on "whole link" for the passes. The translation is still relying on the global registry, and some refactoring is needed to make this all more convenient. Differential Revision: https://reviews.llvm.org/D74461
2020-02-12 17:03:40 +08:00
MLIRAllDialects
Add build files and update README. * Add initial version of build files; * Update README with instructions to download and build MLIR from github; -- PiperOrigin-RevId: 241102092
2019-03-30 13:10:12 +08:00
MLIRParser
MLIRPass
[spirv] Basic serializer and deserializer This CL adds the basic SPIR-V serializer and deserializer for converting SPIR-V module into the binary format and back. Right now only an empty module with addressing model and memory model is supported; (de)serialize other components will be added gradually with subsequent CLs. The purpose of this library is to enable importing SPIR-V binary modules to run transformations on them and exporting SPIR-V modules to be consumed by execution environments. The focus is transformations, which inevitably means changes to the binary module; so it is not designed to be a general tool for investigating the SPIR-V binary module and does not guarantee roundtrip equivalence (at least for now). PiperOrigin-RevId: 254473019
2019-06-22 05:51:58 +08:00
MLIRSPIRV
MLIRSPIRVSerialization
Add build files and update README. * Add initial version of build files; * Update README with instructions to download and build MLIR from github; -- PiperOrigin-RevId: 241102092
2019-03-30 13:10:12 +08:00
MLIRTargetLLVMIR
Add transformation of the NVVM dialect to an LLVM module. Only handles the generation of intrinsics out of NVVM index ops for now. -- PiperOrigin-RevId: 245933152
2019-04-30 21:08:21 +08:00
MLIRTargetNVVMIR
[ROCm] Adding ROCDL Dialect. This commit introduces the ROCDL Dialect (i.e. the ROCDL ops + the code to lower those ROCDL ops to LLWM intrinsics/functions). Think of ROCDL Dialect as analogous to the NVVM Dialect, but for AMD GPUs. This patch contains just the essentials needed to get a simple example up and running. We expect to make further additions to the ROCDL Dialect. This is the first of 3 commits, the follow-up will be: * add a pass that lowers GPU Dialect to ROCDL Dialect * add a "mlir-rocm-runner" utility Closes tensorflow/mlir#146 COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/146 from deven-amd:deven-rocdl-dialect e78e8005c75a78912631116c78dc844fcc4b0de9 PiperOrigin-RevId: 271511259
2019-09-27 14:49:51 +08:00
MLIRTargetROCDLIR
Add build files and update README. * Add initial version of build files; * Update README with instructions to download and build MLIR from github; -- PiperOrigin-RevId: 241102092
2019-03-30 13:10:12 +08:00
MLIRTranslation
MLIRSupport
)
Remove static registration for dialects, and the "alwayslink" hack for passes In the previous state, we were relying on forcing the linker to include all libraries in the final binary and the global initializer to self-register every piece of the system. This change help moving away from this model, and allow users to compose pieces more freely. The current change is only "fixing" the dialect registration and avoiding relying on "whole link" for the passes. The translation is still relying on the global registry, and some refactoring is needed to make this all more convenient. Differential Revision: https://reviews.llvm.org/D74461
2020-02-12 17:03:40 +08:00
set(FULL_LIBS
MLIRSPIRVSerialization
MLIRTargetLLVMIR
MLIRTargetNVVMIR
MLIRTargetROCDLIR
)
[mlir] Mark the MLIR tools for installation in CMake This binplaces `mlir-translate`, `mlir-cuda-runner`, and `mlir-cpu-runner` when building the CMake install target. Differential Revision: https://reviews.llvm.org/D73986
2020-02-05 11:42:17 +08:00
add_llvm_tool(mlir-translate
Add build files and update README. * Add initial version of build files; * Update README with instructions to download and build MLIR from github; -- PiperOrigin-RevId: 241102092
2019-03-30 13:10:12 +08:00
mlir-translate.cpp
)
Fix MacOS build This is making up for some differences in standard library and linker flags. It also get rid of the requirement to build with RTTI. -- PiperOrigin-RevId: 241348845
2019-04-02 01:17:45 +08:00
llvm_update_compile_flags(mlir-translate)
Remove static registration for dialects, and the "alwayslink" hack for passes In the previous state, we were relying on forcing the linker to include all libraries in the final binary and the global initializer to self-register every piece of the system. This change help moving away from this model, and allow users to compose pieces more freely. The current change is only "fixing" the dialect registration and avoiding relying on "whole link" for the passes. The translation is still relying on the global registry, and some refactoring is needed to make this all more convenient. Differential Revision: https://reviews.llvm.org/D74461
2020-02-12 17:03:40 +08:00
whole_archive_link(mlir-translate ${FULL_LIBS})
Split out TranslateClParser and add new parse method that reuses SourceMgr. Split out class to command line parser for translate methods into standalone class. Similar to splitting up mlir-opt to reuse functionality with different initialization. PiperOrigin-RevId: 255225790
2019-06-27 02:12:40 +08:00
target_link_libraries(mlir-translate PRIVATE MLIRIR MLIRTranslateClParser ${LIBS} LLVMSupport)