torch-mlir/python/CMakeLists.txt

103 lines
3.6 KiB
CMake

include(AddMLIRPython)
# 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
)
################################################################################
# Extensions
################################################################################
declare_mlir_python_extension(TorchMLIRPythonExtensions.Main
MODULE_NAME _torchMlir
ADD_TO_PARENT TorchMLIRPythonExtensions
SOURCES
${CMAKE_CURRENT_SOURCE_DIR}/TorchMLIRModule.cpp
EMBED_CAPI_LINK_LIBS
TorchMLIRCAPI
PRIVATE_LINK_LIBS
LLVMSupport
)
################################################################################
# Optionally handle JIT IR importer.
################################################################################
if(TORCH_MLIR_ENABLE_JIT_IR_IMPORTER)
add_subdirectory(torch_mlir/dialects/torch/importer/jit_ir)
add_subdirectory(torch_mlir_e2e_test)
endif()
################################################################################
# Generate packages and shared library
# Downstreams typically will not use these, but they are useful for local
# testing.
################################################################################
set(_source_components
# TODO: Core is now implicitly building/registering all dialects, increasing
# build burden by ~5x. Make it stop.
# TODO: Reduce dependencies. We need ExecutionEngine and a bunch of passes
# for the reference backend, but logically they can be separate. But seemingly
# the only way to handle that is to create a separate mlir python package
# tree, which seems excessive.
MLIRPythonSources
MLIRPythonExtension.Core
MLIRPythonExtension.AllPassesRegistration
MLIRPythonExtension.ExecutionEngine
TorchMLIRPythonSources
TorchMLIRPythonExtensions
)
add_mlir_python_common_capi_library(TorchMLIRAggregateCAPI
INSTALL_COMPONENT TorchMLIRPythonModules
INSTALL_DESTINATION python_packages/torch_mlir/torch_mlir/_mlir_libs
OUTPUT_DIRECTORY "${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
)
# TODO: Find a cleaner way to do this.
# Can we build the JIT IR importer with `declare_mlir_python_extension`?
# Then it would "just work".
if(TORCH_MLIR_ENABLE_JIT_IR_IMPORTER)
add_dependencies(TorchMLIRPythonModules TorchMLIRJITIRImporter)
# Build the E2E Tests (which depend on the JIT IR importer now).
add_dependencies(TorchMLIRPythonModules TorchMLIRE2ETestPythonModules)
endif()
add_subdirectory(test)