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chore: import upstream snapshot with attribution
2026-07-13 13:36:25 +08:00

139 lines
4.7 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.
"""The Relax Adreno GPU backend compilation pipeline and other passes."""
import tvm
from tvm import relax
from tvm.relax.transform.legalize_ops import adreno as legalize_adreno
def library_dispatch_passes(target: tvm.target.Target): # pylint: disable=unused-argument
"""The default library dispatch passes for Adreno GPU backend."""
if "clml" in target.keys:
return [
relax.backend.adreno.clml.OpenCLMLOffLoadForLLM(target),
relax.backend.adreno.clml.OpenCLMLOffLoad(),
]
else:
return []
def legalize_passes(target: tvm.target.Target): # pylint: disable=unused-argument
"""The default legalization passes for Adreno GPU backend."""
desired_layouts = {"relax.nn.conv2d": ["NCHW4c", "OIHW4o", "NCHW4c"]}
skip_ops = [
"relax.nn.conv2d",
"relax.nn.max_pool2d",
"relax.nn.adaptive_avg_pool2d",
]
pass_list = []
pass_list.extend(
[
tvm.tirx.transform.BindTarget(tvm.target.Target.current(allow_none=False)),
relax.transform.DecomposeOpsForInference(),
]
)
if "texture" in target.keys:
pass_list.extend(
[
relax.transform.ConvertLayout(desired_layouts),
relax.transform.Normalize(),
relax.transform.FoldConstant(),
relax.transform.LegalizeOps(skip_ops=skip_ops),
relax.transform.AnnotateTIROpPattern(),
relax.backend.adreno.transform.AnnotateCustomMemoryScope(target),
]
)
pass_list.extend([tvm.relax.transform.LegalizeOps()])
if "texture" in target.keys:
pass_list.extend(
[
relax.transform.LegalizeOps(
{"relax.nn.conv2d": legalize_adreno.conv2d_NCHWc_OIHWo},
)
]
)
pass_list.extend(
[
relax.transform.AnnotateTIROpPattern(),
relax.transform.FoldConstant(),
relax.transform.FuseOps(),
relax.transform.FuseTIR(),
relax.transform.DeadCodeElimination(),
]
)
if "texture" in target.keys:
pass_list.extend(
[
relax.backend.adreno.transform.FoldVDeviceScopeChange(),
relax.transform.DeadCodeElimination(),
relax.transform.SpecializePrimFuncBasedOnCallSite(),
]
)
from tvm.s_tir import dlight as dl # pylint: disable=import-outside-toplevel
pass_list.extend([relax.transform.Normalize()])
pass_list.extend(
[
dl.ApplyDefaultSchedule(
dl.adreno.Conv2d(),
dl.adreno.LayoutTransform(),
dl.adreno.Pool2D(),
)
]
)
pass_list.extend(
[
dl.ApplyDefaultSchedule(
dl.gpu.Reduction(),
dl.gpu.GeneralReduction(),
dl.gpu.Fallback(),
)
]
)
return pass_list
def dataflow_lower_passes(target: tvm.target.Target): # pylint: disable=unused-argument
"""The default dataflow lowering passes for Adreno GPU backend."""
return relax.backend.gpu_generic.dataflow_lower_passes(target)
def finalize_passes(target: tvm.target.Target): # pylint: disable=unused-argument
"""The default finalization passes for Adreno GPU backend."""
return relax.backend.gpu_generic.finalize_passes(target)
def get_default_pipeline(target: tvm.target.Target):
"""Return the default compilation pipeline for Adreno GPU."""
@tvm.transform.module_pass(opt_level=0)
def _pipeline(mod: tvm.ir.IRModule, _ctx: tvm.transform.PassContext):
with target:
seq = tvm.transform.Sequential(
library_dispatch_passes(target)
+ legalize_passes(target)
+ dataflow_lower_passes(target)
+ finalize_passes(target)
)
mod = seq(mod)
return mod
return _pipeline