# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. # See https://llvm.org/LICENSE.txt for license information. # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception import os from mlir.ir import * from mlir.passmanager import * from npcomp.compiler.generic.backend import refjit as refjit_backend from npcomp.compiler.utils import logging __all__ = [ "is_enabled", "CompilerBackend", ] FRONTEND_PASSES = ( "func(npcomp-cpa-type-inference)", "numpy-public-functions-to-tensor", "func(convert-numpy-to-tcf)", "func(convert-scf-to-std)", "func(canonicalize)", "func(tcf-shape-refinement)", ) # Re-export. is_enabled = refjit_backend.is_enabled class CompilerBackend: """Main entry-point for the backend.""" def __init__(self): super().__init__() self._refjit = refjit_backend.get_refjit() self._debug = logging.debug_enabled() def compile(self, imported_module: Module): """Compiles an imported module. Args: legacy_imported_ir_module: The MLIR module as imported from the ImportFrontend. Returns: An opaque, backend specific module object that can be passed to load. The object may actually be something more specific to the backend (i.e. for IREE, it is a serialized VM flatbuffer) but the contract is that it is operated on by methods on this class. """ with imported_module.context as context: # Frontend. if self._debug: logging.debug("Input IR:\n{}", imported_module) assert ( imported_module.operation.verify()), "Imported module does not verify" pm = PassManager.parse(",".join(FRONTEND_PASSES)) pm.run(imported_module) if self._debug: logging.debug("Frontend IR:\n{}", imported_module) # Backend. # Note that this is a separate pass manager purely to aid in debugging. pm = PassManager() self._refjit.build_backend_compilation_pipeline(pm) pm.run(imported_module) if self._debug: logging.debug("Backend IR:\n{}", imported_module) jit_module = self._refjit.JITModule.from_compiled_module( imported_module, refjit_backend.get_runtime_libs()) return jit_module def load(self, jit_module): """Loads a compiled artifact into the runtime. Since this is a JIT instead of an AOT compiler, """ return refjit_backend.JitModuleInvoker(jit_module)