# 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. """Trainium TIRX pipeline entrypoints.""" import tvm from tvm import tirx from tvm.tirx.compilation_pipeline import finalize_host_passes from . import transform as trn_transform def trn_pipeline(): """The Trainium pipeline used in tvm.tirx.build.""" @tvm.transform.module_pass(opt_level=0) def _pipeline(mod: tvm.ir.IRModule, _ctx: tvm.transform.PassContext) -> tvm.ir.IRModule: """Lower TIRx for the Trainium backend.""" passes = [ trn_transform.TrnPrivateBufferAlloc(), trn_transform.TrnNaiveAllocator(), tirx.transform.TilePrimitiveDispatch(), trn_transform.LowerTrainiumLayout(), tvm.s_tir.transform.DecorateDeviceScope(), tirx.transform.StmtSimplify(), tirx.transform.LowerTIRxOpaque(), tvm.s_tir.transform.LoopPartition(), tvm.s_tir.transform.HoistIfThenElse(), tirx.transform.StmtSimplify(), tirx.transform.RemoveNoOp(), tirx.transform.AnnotateEntryFunc(), tirx.transform.SplitHostDevice(), tirx.transform.MakePackedAPI(), ] return tvm.ir.transform.Sequential(passes)(mod) return _pipeline, finalize_host_passes, finalize_device_passes_trn def finalize_device_passes_trn(): # pylint: disable=unused-argument """The finalization passes for the Trainium backend.""" return tvm.ir.transform.Sequential([tirx.transform.StmtSimplify()]) __all__ = ["finalize_device_passes_trn", "trn_pipeline"]