torch-mlir/lib/Conversion/NumpyToTCF/CMakeLists.txt

add_npcomp_conversion_library(NPCOMPNumpyToTCF
  Passes.cpp

  DEPENDS
  NPCOMPConversionPassIncGen

  LINK_COMPONENTS
  Core

  LINK_LIBS PUBLIC
  MLIRIR
  MLIRPass
  MLIRTransforms
  NPCOMPBasicpyDialect
  NPCOMPNumpyDialect
)
Start reworking towards a shared library build. * Need to have a dag of shared library deps in order to interop across python extensions (as presented in ODM). * Introduced add_npcomp_library and friends to mirror the MLIR setup. * Adds a libNPCOMP.so shared library. * Redirects tools and extensions to link against libNPCOMP.so (instead of static libs). * Moves all libraries to lib/, all binaries to bin/ and all python extensions to python/. The invariant is that the rpaths are setup to have a one level directory structure. * Reworks the _torch_mlir extension to build like the others (still need to come up with a consolidated rule to do this instead of open coded). * Includes an upstream version bump to pick up needed changes. Sizes with dynamic linking (stripped, release, asserts enabled): libNPCOMP.so: 43M (includes much of the underlying LLVM codegen deps) libMLIR.so: 31M _npcomp.so: 1.6M (python extension) _torch_mlir.so: 670K (python extension) npcomp-capi-ir-test: 6.3K npcomp-opt: 351K npcomp-run-mlir: 461K mnist-playground: 530K Still more can be done to normalize and optimize but this gets us structurally to the starting point. 2020-10-09 09:29:59 +08:00			`add_npcomp_conversion_library(NPCOMPNumpyToTCF`
Add NumpyToTCF conversion. * Just for numpy.add right now. 2020-07-09 12:03:57 +08:00			`Passes.cpp`

			`DEPENDS`
			`NPCOMPConversionPassIncGen`

			`LINK_COMPONENTS`
			`Core`

			`LINK_LIBS PUBLIC`
			`MLIRIR`
			`MLIRPass`
			`MLIRTransforms`
			`NPCOMPBasicpyDialect`
			`NPCOMPNumpyDialect`
			`)`