torch-mlir/python/CMakeLists.txt

102 lines
3.5 KiB
CMake

# Disables generation of "version soname" (i.e. libFoo.so.<version>), which
# causes pure duplication as part of Python wheels.
set(CMAKE_PLATFORM_NO_VERSIONED_SONAME ON)
# The directory at which the Python import tree begins.
# See documentation for `declare_mlir_python_sources`'s ROOT_DIR
# argument.
set(TORCH_MLIR_PYTHON_ROOT_DIR "${CMAKE_CURRENT_SOURCE_DIR}/torch_mlir")
# We vendor our own MLIR instance in the `torch_mlir` namespace.
add_compile_definitions("MLIR_PYTHON_PACKAGE_PREFIX=torch_mlir.")
################################################################################
# Sources
################################################################################
declare_mlir_python_sources(TorchMLIRPythonSources)
declare_mlir_python_sources(TorchMLIRPythonExtensions)
declare_mlir_python_sources(TorchMLIRPythonSources.Dialects
ROOT_DIR "${TORCH_MLIR_PYTHON_ROOT_DIR}"
ADD_TO_PARENT TorchMLIRPythonSources
)
declare_mlir_dialect_python_bindings(
ADD_TO_PARENT TorchMLIRPythonSources.Dialects
ROOT_DIR "${TORCH_MLIR_PYTHON_ROOT_DIR}"
TD_FILE dialects/TorchBinding.td
SOURCES dialects/torch/__init__.py
DIALECT_NAME torch
)
declare_mlir_python_sources(TorchMLIRPythonSources.Importers
ROOT_DIR "${TORCH_MLIR_PYTHON_ROOT_DIR}"
ADD_TO_PARENT TorchMLIRPythonSources
SOURCES
extras/onnx_importer.py
)
declare_mlir_python_sources(TorchMLIRPythonSources.Tools
ROOT_DIR "${TORCH_MLIR_PYTHON_ROOT_DIR}"
ADD_TO_PARENT TorchMLIRPythonSources
SOURCES
tools/import_onnx/__main__.py
)
################################################################################
# Extensions
################################################################################
declare_mlir_python_extension(TorchMLIRPythonExtensions.Main
MODULE_NAME _torchMlir
ADD_TO_PARENT TorchMLIRPythonExtensions
SOURCES
TorchMLIRModule.cpp
EMBED_CAPI_LINK_LIBS
TorchMLIRCAPI
PRIVATE_LINK_LIBS
LLVMSupport
)
################################################################################
# Generate packages and shared library
# Downstreams typically will not use these, but they are useful for local
# testing.
################################################################################
set(_source_components
# TODO: Core is now implicitly building/registering all dialects, increasing
# build burden by ~5x. Make it stop.
# TODO: Reduce dependencies. We need ExecutionEngine and a bunch of passes
# for the reference backend, but logically they can be separate. But seemingly
# the only way to handle that is to create a separate mlir python package
# tree, which seems excessive.
MLIRPythonSources
MLIRPythonExtension.Core
MLIRPythonExtension.RegisterEverything
TorchMLIRPythonSources
TorchMLIRPythonExtensions
# Sources related to optional Torch extension dependent features. Typically
# empty unless if project features are enabled.
TorchMLIRPythonTorchExtensionsSources
)
add_mlir_python_common_capi_library(TorchMLIRAggregateCAPI
INSTALL_COMPONENT TorchMLIRPythonModules
INSTALL_DESTINATION python_packages/torch_mlir/torch_mlir/_mlir_libs
OUTPUT_DIRECTORY "${TORCH_MLIR_PYTHON_PACKAGES_DIR}/torch_mlir/torch_mlir/_mlir_libs"
RELATIVE_INSTALL_ROOT ".."
DECLARED_SOURCES ${_source_components}
)
add_mlir_python_modules(TorchMLIRPythonModules
ROOT_PREFIX "${TORCH_MLIR_PYTHON_PACKAGES_DIR}/torch_mlir/torch_mlir"
INSTALL_PREFIX "python_packages/torch_mlir/torch_mlir"
DECLARED_SOURCES ${_source_components}
COMMON_CAPI_LINK_LIBS
TorchMLIRAggregateCAPI
)