zhiics commented on a change in pull request #5139: [REFACTOR][TIR] Introduce PrimFuncPass. URL: https://github.com/apache/incubator-tvm/pull/5139#discussion_r396857607
########## File path: python/tvm/tir/transform/function_pass.py ########## @@ -0,0 +1,149 @@ +# 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. +"""TIR specific function pass support.""" +import inspect +import functools + +import tvm._ffi +from tvm.ir.transform import Pass, PassInfo + +from . import _ffi_api + + +@tvm._ffi.register_object("tir.PrimFuncPass") +class PrimFuncPass(Pass): + """A pass that works on each tvm.relay.Function in a module. A function + pass class should be created through py:func:`tvm.tir.transform.function_pass`. + """ + + +def _wrap_class_function_pass(pass_cls, pass_info): + """Wrap a python class as function pass""" + class PyFunctionPass(PrimFuncPass): + """Internal wrapper class to create a class instance.""" + def __init__(self, *args, **kwargs): + # initialize handle in cass pass_cls creation failed.fg + self.handle = None + inst = pass_cls(*args, **kwargs) + # it is important not to capture self to + # avoid a cyclic dependency + def _pass_func(func, mod, ctx): + return inst.transform_function(func, mod, ctx) + self.__init_handle_by_constructor__( + _ffi_api.CreatePrimFuncPass, _pass_func, pass_info) + self._inst = inst + + def __getattr__(self, name): + # fall back to instance attribute if there is not any + return self._inst.__getattribute__(name) + + functools.update_wrapper(PyFunctionPass.__init__, pass_cls.__init__) + PyFunctionPass.__name__ = pass_cls.__name__ + PyFunctionPass.__doc__ = pass_cls.__doc__ + PyFunctionPass.__module__ = pass_cls.__module__ + return PyFunctionPass + + +def prim_func_pass(pass_func=None, opt_level=None, name=None, required=None): + """Decorate a function pass. + + This function returns a callback when pass_func + is provided. Otherwise, it returns the created function pass using the + given optimization function. + + Parameters + ---------- + pass_func : Optional[Callable[(Function, Module, PassContext) -> Function]] + The transformation function or class. + + opt_level : int + The optimization level of this module pass. + + name : Optional[str] + The name of the function pass. The name could be empty. In this case, the + name of the optimization function will be used as the pass name. + + required : Optional[List[str]] + The list of passes that the module pass is dependent on. Review comment: function pass ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
