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[MetaSchedule] Mutator: Mutate compute location
Co-authored-by: Junru Shao <junrushao1994@gmail.com> Co-authored-by: Xiyou Zhou <xiyou@octoml.ai> Co-authored-by: Bohan Hou <32121147+spectrometerHBH@users.noreply.github.com> Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> Co-authored-by: Hongyi Jin <3231950289@qq.com> Co-authored-by: Wuwei Lin <wuwei@apache.org>
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python/tvm/meta_schedule/mutator/mutate_compute_location.py
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# 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. | ||
"""A mutator that mutates the compute-at location decision of SampleComputeLocation""" | ||
from tvm._ffi.registry import register_object | ||
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from .. import _ffi_api | ||
from .mutator import Mutator | ||
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@register_object("meta_schedule.MutateComputeLocation") | ||
class MutateComputeLocation(Mutator): | ||
"""A mutator that mutates the compute-at location decision of SampleComputeLocation""" | ||
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def __init__(self) -> None: | ||
self.__init_handle_by_constructor__( | ||
_ffi_api.MutatorMutateComputeLocation, # type: ignore # pylint: disable=no-member | ||
) |
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/* | ||
* 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. | ||
*/ | ||
#include "../utils.h" | ||
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namespace tvm { | ||
namespace meta_schedule { | ||
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using tir::Instruction; | ||
using tir::InstructionKind; | ||
using tir::Trace; | ||
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/*! \brief A mutator that mutates the compute-at location decision of SampleComputeLocation */ | ||
class MutateComputeLocationNode : public MutatorNode { | ||
public: | ||
/*! \brief JSON representation of the workload */ | ||
std::string json_mod_; | ||
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void VisitAttrs(tvm::AttrVisitor* v) {} | ||
static constexpr const char* _type_key = "meta_schedule.MutateComputeLocation"; | ||
TVM_DECLARE_FINAL_OBJECT_INFO(MutateComputeLocationNode, MutatorNode); | ||
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public: | ||
// Inherit from `MutatorNode` | ||
void InitializeWithTuneContext(const TuneContext& context) final { | ||
this->json_mod_ = SaveJSON(context->mod.value()); | ||
} | ||
// Inherit from `MutatorNode` | ||
Optional<Trace> Apply(const Trace& trace, TRandState* rand_state) final; | ||
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private: | ||
struct Candidate { | ||
/*! \brief The SampleComputeLocation instruction */ | ||
Instruction inst; | ||
/*! \brief The candidate compute-at locations */ | ||
std::vector<int> locs; | ||
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explicit Candidate(Instruction inst, std::vector<int> locs) | ||
: inst(std::move(inst)), locs(std::move(locs)) {} | ||
}; | ||
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std::vector<Candidate> FindCandidates(const Trace& trace, TRandState* rand_state); | ||
}; | ||
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/*! | ||
* \brief Find all appearances of instruction `SampleComputeLocation` whose decision can be mutated | ||
* to at lease one other value | ||
* \param trace The trace from which to find the instructions | ||
* \return All the candidate instructions together with the candidate compute-at locations | ||
*/ | ||
std::vector<MutateComputeLocationNode::Candidate> MutateComputeLocationNode::FindCandidates( | ||
const Trace& trace, TRandState* rand_state) { | ||
tir::Schedule sch = tir::Schedule::Traced( // | ||
/*mod=*/Downcast<IRModule>(LoadJSON(this->json_mod_)), // | ||
/*rand_state=*/ForkSeed(rand_state), // | ||
/*debug_mode=*/0, // | ||
/*error_render_level=*/tir::ScheduleErrorRenderLevel::kNone); | ||
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static InstructionKind inst_sample_compute_location = | ||
InstructionKind::Get("SampleComputeLocation"); | ||
std::vector<MutateComputeLocationNode::Candidate> candidates; | ||
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auto f_decision_provider = [&](const tir::Instruction& inst, // | ||
const Array<ObjectRef>& inputs, // | ||
const Array<ObjectRef>& attrs, // | ||
const ObjectRef& decision) -> ObjectRef { | ||
if (inst->kind.same_as(inst_sample_compute_location)) { | ||
// Step 1. Extract the instruction input and the old decision. | ||
ICHECK_EQ(inputs.size(), 1); | ||
tir::StmtSRef block_sref = sch->GetSRef(Downcast<tir::BlockRV>(inputs[0])); | ||
int old_decision = Downcast<Integer>(decision)->value; | ||
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// Step 2. Collect all the compute_at locations. | ||
Array<tir::StmtSRef> location_srefs; | ||
std::vector<int> location_indices; | ||
std::tie(location_srefs, location_indices) = CollectComputeLocation(sch->state(), block_sref); | ||
// Step 3. Remove the old decision. | ||
auto it = std::find(location_indices.begin(), location_indices.end(), old_decision); | ||
if (it != location_indices.end()) { | ||
location_srefs.erase(location_srefs.begin() + (it - location_indices.begin())); | ||
location_indices.erase(it); | ||
} | ||
ICHECK_EQ(location_srefs.size(), location_indices.size()); | ||
// Step 4. Add a new candidate if there are at least one remaining compute-at position. | ||
if (!location_srefs.empty()) { | ||
candidates.emplace_back(inst, std::move(location_indices)); | ||
} | ||
} | ||
return decision; | ||
}; | ||
trace->ApplyToSchedule(sch, // | ||
/*remove_postproc=*/true, // | ||
/*decision_provider=*/f_decision_provider); | ||
return candidates; | ||
} | ||
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Optional<Trace> MutateComputeLocationNode::Apply(const Trace& trace, TRandState* rand_state) { | ||
std::vector<Candidate> candidates = FindCandidates(trace, rand_state); | ||
if (candidates.empty()) { | ||
return NullOpt; | ||
} | ||
const Candidate& candidate = candidates[tir::SampleInt(rand_state, 0, candidates.size())]; | ||
int loc = candidate.locs[tir::SampleInt(rand_state, 0, candidate.locs.size())]; | ||
return trace->WithDecision(candidate.inst, Integer(loc), /*remove_postproc=*/true); | ||
} | ||
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Mutator Mutator::MutateComputeLocation() { | ||
return Mutator(make_object<MutateComputeLocationNode>()); | ||
} | ||
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TVM_REGISTER_NODE_TYPE(MutateComputeLocationNode); | ||
TVM_REGISTER_GLOBAL("meta_schedule.MutatorMutateComputeLocation") | ||
.set_body_typed(Mutator::MutateComputeLocation); | ||
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} // namespace meta_schedule | ||
} // namespace tvm |
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tests/python/unittest/test_meta_schedule_mutator_mutate_compute_location.py
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# 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. | ||
# pylint: disable=missing-module-docstring,missing-function-docstring,missing-class-docstring | ||
from tvm.meta_schedule import TuneContext | ||
from tvm.meta_schedule.mutator import MutateComputeLocation, Mutator | ||
from tvm.script import tir as T | ||
from tvm.target import Target | ||
from tvm.tir import Schedule | ||
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# pylint: disable=invalid-name, no-member | ||
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@T.prim_func | ||
def add(a: T.handle, b: T.handle) -> None: | ||
# function attr dict | ||
T.func_attr({"global_symbol": "main"}) | ||
A = T.match_buffer(a, [2048, 2048, 2048], dtype="float32") | ||
B = T.match_buffer(b, [2048, 2048, 2048], dtype="float32") | ||
A_cached = T.alloc_buffer([2048, 2048, 2048], dtype="float32") | ||
# body | ||
for i, j, k in T.grid(2048, 2048, 2048): | ||
with T.block("move"): | ||
vi, vj, vk = T.axis.remap("SSS", [i, j, k]) | ||
T.reads([A[vi, vj, vk]]) | ||
T.writes([A_cached[vi, vj, vk]]) | ||
A_cached[vi, vj, vk] = A[vi, vj, vk] | ||
for i0, j0, i1, j1, k0, i2, j2, k1 in T.grid(128, 64, 4, 4, 64, 4, 8, 32): | ||
with T.block("add"): | ||
vi = T.axis.spatial(2048, i0 * 16 + i1 * 4 + i2) | ||
vj = T.axis.spatial(2048, j0 * 32 + j1 * 8 + j2) | ||
vk = T.axis.spatial(2048, k0 * 32 + k1) | ||
T.reads([A_cached[vi, vj, vk]]) | ||
T.writes([B[vi, vj, vk]]) | ||
B[vi, vj, vk] = A_cached[vi, vj, vk] + T.float32(1) | ||
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# pylint: enable=invalid-name, no-member | ||
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def _sch(decision: int) -> Schedule: | ||
sch = Schedule(add, debug_mask="all") | ||
# pylint: disable=invalid-name | ||
b0 = sch.get_block(name="move", func_name="main") | ||
l1 = sch.sample_compute_location(block=b0, decision=decision) | ||
sch.compute_at(block=b0, loop=l1, preserve_unit_loops=True) | ||
# pylint: enable=invalid-name | ||
return sch | ||
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def _make_mutator(target: Target) -> Mutator: | ||
mutator = MutateComputeLocation() | ||
mutator.initialize_with_tune_context(TuneContext(mod=add, target=target)) | ||
return mutator | ||
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def test_mutate_compute_location_add(): | ||
mutator = _make_mutator( | ||
target=Target("llvm"), | ||
) | ||
sch = _sch(decision=4) | ||
results = set() | ||
for _ in range(100): | ||
trace = mutator.apply(sch.trace) | ||
decision = trace.decisions[trace.insts[-2]] | ||
assert not decision == 4 | ||
results.add(decision) | ||
assert len(results) == 9 | ||
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if __name__ == "__main__": | ||
test_mutate_compute_location_add() |