hanchenye-llvm-project/polly
Philip Pfaffe 55d2f5aad5 [CMake] Fix generation of exported targets in build directory
CMake generates the exports file wrongly if the CMAKE_BUILD_TYPE is
unset for multi-configuration generators.

The generated file lib/cmake/polly/PollyExports-all.cmake then contains:

set_target_properties(LLVMPolly PROPERTIES
              IMPORTED_LOCATION_ my_build_dir/lib/LLVMPolly.so)
set_target_properties(Polly PROPERTIES
              IMPORTED_LOCATION_ my_build_dir/lib/libPolly.a)

This patch conditionalizes the underscore.

Patch by: Marcin Copik

Differential Revision: D53376

llvm-svn: 346231
2018-11-06 15:18:17 +00:00
..
cmake [CMake] Fix generation of exported targets in build directory 2018-11-06 15:18:17 +00:00
docs [doc] Fix HowToManuallyUseTheIndividualPiecesOfPolly 2018-09-26 15:22:39 +00:00
include/polly [TI removal] Make `getTerminator()` return a generic `Instruction`. 2018-10-15 10:42:50 +00:00
lib Fix clang -Wimplicit-fallthrough warnings across llvm, NFC 2018-11-01 19:54:45 +00:00
test Fix another error related to YAML quoting. 2018-10-12 17:28:39 +00:00
tools Update copyright year to 2018. 2018-06-18 12:22:17 +00:00
unittests Update isl-cpp bindings 2018-08-09 05:07:14 +00:00
utils [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
www Move www/experiments to docs/experiments 2018-09-26 15:21:43 +00:00
.arcconfig [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt [JSONExporter] Replace bundled Jsoncpp with llvm/Support/JSON.h. NFC. 2018-08-01 00:15:16 +00:00
CREDITS.txt
LICENSE.txt
README

README

Polly - Polyhedral optimizations for LLVM
-----------------------------------------
http://polly.llvm.org/

Polly uses a mathematical representation, the polyhedral model, to represent and
transform loops and other control flow structures. Using an abstract
representation it is possible to reason about transformations in a more general
way and to use highly optimized linear programming libraries to figure out the
optimal loop structure. These transformations can be used to do constant
propagation through arrays, remove dead loop iterations, optimize loops for
cache locality, optimize arrays, apply advanced automatic parallelization, drive
vectorization, or they can be used to do software pipelining.