Files
apache--tvm/python/tvm/backend/trn/pipeline.py
T
wehub-resource-sync 26446540fa
Lint / lint (push) Has been cancelled
CI / MacOS (push) Has been cancelled
CI / Windows (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:36:25 +08:00

59 lines
2.3 KiB
Python

# 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"]