# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. """Common relax pass instrumentation across IR variants.""" import tvm from tvm import relax @tvm.instrument.pass_instrument class WellFormedInstrument: """An instrument that checks the input/output IRModule of the Pass is well formed. It will skip specific passes, like Normalize. Parameters ---------- check_ty: bool If True, validate the type in the module. If False, skip these checks. validate_before_transform: bool If True (default), perform a well-formed check before running a transform. If False, only perform the well-formed check after running a transform. """ def __init__(self, check_ty: bool = True, validate_before_transform: bool = True): self.skip_pass_name = ["Normalize", "NormalizeGlobalVar", "ResolveGlobals"] self.check_ty = check_ty self.validate_before_transform = validate_before_transform def run_before_pass(self, mod, pass_info): if self.validate_before_transform: self._check(mod, pass_info.name, "Before") def run_after_pass(self, mod, pass_info): self._check(mod, pass_info.name, "After") def _check(self, mod, pass_name, name_prefix): if pass_name not in self.skip_pass_name: is_well_formed = relax.analysis.check_well_formed(mod, self.check_ty) if not is_well_formed: mod.show(name=f"{name_prefix}{pass_name}") assert is_well_formed