-
Notifications
You must be signed in to change notification settings - Fork 160
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
f160eb2
commit f845751
Showing
7 changed files
with
409 additions
and
100 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
259 changes: 259 additions & 0 deletions
259
tao_compiler/mlir/disc/transforms/disc_collective_ops_rewriter.cc
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,259 @@ | ||
| // Copyright 2021 The BladeDISC Authors. All rights reserved. | ||
| // Licensed 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 <iostream> | ||
| #include <string> | ||
| #include <unordered_set> | ||
| #include <vector> | ||
|
|
||
| #include "mhlo/IR/hlo_ops.h" | ||
| #include "mlir/Dialect/Arith/IR/Arith.h" | ||
| #include "mlir/Dialect/Func/IR/FuncOps.h" | ||
| #include "mlir/Dialect/Tensor/IR/Tensor.h" | ||
| #include "mlir/IR/Attributes.h" | ||
| #include "mlir/IR/Location.h" | ||
| #include "mlir/IR/MLIRContext.h" | ||
| #include "mlir/IR/Operation.h" | ||
| #include "mlir/IR/PatternMatch.h" | ||
| #include "mlir/Pass/Pass.h" | ||
| #include "mlir/Transforms/GreedyPatternRewriteDriver.h" | ||
| #include "mlir/Transforms/Passes.h" | ||
| #include "mlir/disc/IR/hlo_disc_ops.h" | ||
| #include "mlir/disc/disc_util.h" | ||
| #include "mlir/disc/transforms/PassDetail.h" | ||
|
|
||
| namespace mlir { | ||
| namespace disc_ral { | ||
|
|
||
| namespace { | ||
| enum ReductionKind { | ||
| ALL_REDUCE_SUM, | ||
| ALL_REDUCE_PRODUCT, | ||
| ALL_REDUCE_MIN, | ||
| ALL_REDUCE_MAX, | ||
| }; | ||
|
|
||
| std::optional<std::string> ReductionKindToString(ReductionKind kind) { | ||
| switch (kind) { | ||
| case ReductionKind::ALL_REDUCE_SUM: | ||
| return "sum"; | ||
| case ReductionKind::ALL_REDUCE_PRODUCT: | ||
| return "product"; | ||
| case ReductionKind::ALL_REDUCE_MIN: | ||
| return "min"; | ||
| case ReductionKind::ALL_REDUCE_MAX: | ||
| return "max"; | ||
| } | ||
| return std::nullopt; | ||
| } | ||
|
|
||
| std::optional<std::string> MatchReductionComputation(Region& region) { | ||
| if (!region.hasOneBlock()) { | ||
| return std::nullopt; | ||
| } | ||
|
|
||
| auto ret = dyn_cast<mhlo::ReturnOp>(region.front().getTerminator()); | ||
| if (!ret || ret->getNumOperands() != 1) { | ||
| return std::nullopt; | ||
| } | ||
|
|
||
| auto computation = ret.getOperand(0).getDefiningOp(); | ||
|
|
||
| if (isa<mhlo::AddOp>(computation)) { | ||
| return "sum"; | ||
| } | ||
| if (isa<mhlo::MulOp>(computation)) { | ||
| return "product"; | ||
| } | ||
| if (isa<mhlo::MinOp>(computation)) { | ||
| return "min"; | ||
| } | ||
| if (isa<mhlo::MaxOp>(computation)) { | ||
| return "max"; | ||
| } | ||
| return std::nullopt; | ||
| } | ||
|
|
||
| struct AllReduceOpConverter : public OpRewritePattern<mhlo::AllReduceOp> { | ||
| using OpRewritePattern<mhlo::AllReduceOp>::OpRewritePattern; | ||
|
|
||
| LogicalResult matchAndRewrite(mhlo::AllReduceOp op, | ||
| PatternRewriter& rewriter) const override { | ||
| SmallVector<Value, 4> newOutputs; | ||
| auto reductionKind = MatchReductionComputation(op.getRegion()); | ||
| if (!reductionKind) { | ||
| return failure(); | ||
| } | ||
| for (int i = 0; i < op->getOperands().size(); ++i) { | ||
| // no need call all_reduce op if no consumer | ||
| if (op->getResult(i).getUsers().empty()) { | ||
| continue; | ||
| } | ||
|
|
||
| op->setAttr("call_target_name", rewriter.getStringAttr("ral_all_reduce")); | ||
| op->setAttr("device", rewriter.getStringAttr("d")); | ||
| op->setAttr("input_placements", rewriter.getStringAttr("d")); | ||
| op->setAttr("output_placements", rewriter.getStringAttr("d")); | ||
| op->setAttr("input_layouts", rewriter.getStringAttr("*")); | ||
| op->setAttr("output_layouts", rewriter.getStringAttr("*")); | ||
| op->setAttr("expected_input_layouts", rewriter.getStringAttr("*")); | ||
| op->setAttr("expected_output_layouts", rewriter.getStringAttr("*")); | ||
| SmallVector<NamedAttribute> newAttrs; | ||
| newAttrs.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("reduction_kind"), | ||
| rewriter.getStringAttr(reductionKind.value()))); | ||
|
|
||
| auto newCustomAttrs = DictionaryAttr::get(op->getContext(), newAttrs); | ||
|
|
||
| op->setAttr("custom_attrs", newCustomAttrs); | ||
|
|
||
| auto newOutput = rewriter.create<mhlo_disc::CustomCallV2Op>( | ||
| op->getLoc(), op->getResults()[i].getType(), op->getOperands()[i], | ||
| op->getAttrs()); | ||
| newOutputs.push_back(newOutput.getResult(0)); | ||
| } | ||
| rewriter.replaceOp(op, newOutputs); | ||
| return success(); | ||
| } | ||
| }; | ||
|
|
||
| struct AllGatherOpConverter : public OpRewritePattern<mhlo::AllGatherOp> { | ||
| using OpRewritePattern<mhlo::AllGatherOp>::OpRewritePattern; | ||
|
|
||
| LogicalResult matchAndRewrite(mhlo::AllGatherOp op, | ||
| PatternRewriter& rewriter) const override { | ||
| SmallVector<NamedAttribute, 4> newAttrsVec; | ||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("call_target_name"), | ||
| rewriter.getStringAttr("ral_all_gather"))); | ||
| newAttrsVec.push_back(NamedAttribute(rewriter.getStringAttr("device"), | ||
| rewriter.getStringAttr("d"))); | ||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("input_placements"), | ||
| rewriter.getStringAttr("d"))); | ||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("output_placements"), | ||
| rewriter.getStringAttr("d"))); | ||
| newAttrsVec.push_back(NamedAttribute( | ||
| rewriter.getStringAttr("input_layouts"), rewriter.getStringAttr("*"))); | ||
| newAttrsVec.push_back(NamedAttribute( | ||
| rewriter.getStringAttr("output_layouts"), rewriter.getStringAttr("*"))); | ||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("expected_input_layouts"), | ||
| rewriter.getStringAttr("*"))); | ||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("expected_output_layouts"), | ||
| rewriter.getStringAttr("*"))); | ||
|
|
||
| SmallVector<NamedAttribute, 4> customAttrs; | ||
| customAttrs.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("all_gather_dim"), | ||
| op->getAttr("all_gather_dim"))); | ||
| customAttrs.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("replica_groups"), | ||
| op->getAttr("replica_groups"))); | ||
|
|
||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("custom_attrs"), | ||
| rewriter.getDictionaryAttr(customAttrs))); | ||
|
|
||
| ArrayRef<NamedAttribute> newCustomAttrs(newAttrsVec); | ||
| auto newOp = rewriter.create<mhlo_disc::CustomCallV2Op>( | ||
| op->getLoc(), op->getResultTypes(), op->getOperands(), newCustomAttrs); | ||
| rewriter.replaceOp(op, newOp.getResults()); | ||
| return success(); | ||
| } | ||
| }; | ||
|
|
||
| struct ReduceScatterOpConverter | ||
| : public OpRewritePattern<mhlo::ReduceScatterOp> { | ||
| using OpRewritePattern<mhlo::ReduceScatterOp>::OpRewritePattern; | ||
|
|
||
| LogicalResult matchAndRewrite(mhlo::ReduceScatterOp op, | ||
| PatternRewriter& rewriter) const override { | ||
| auto reductionKind = MatchReductionComputation(op.getRegion()); | ||
| if (!reductionKind) { | ||
| return failure(); | ||
| } | ||
| SmallVector<NamedAttribute, 4> newAttrsVec; | ||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("call_target_name"), | ||
| rewriter.getStringAttr("ral_reduce_scatter"))); | ||
| newAttrsVec.push_back(NamedAttribute(rewriter.getStringAttr("device"), | ||
| rewriter.getStringAttr("d"))); | ||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("input_placements"), | ||
| rewriter.getStringAttr("d"))); | ||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("output_placements"), | ||
| rewriter.getStringAttr("d"))); | ||
| newAttrsVec.push_back(NamedAttribute( | ||
| rewriter.getStringAttr("input_layouts"), rewriter.getStringAttr("*"))); | ||
| newAttrsVec.push_back(NamedAttribute( | ||
| rewriter.getStringAttr("output_layouts"), rewriter.getStringAttr("*"))); | ||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("expected_input_layouts"), | ||
| rewriter.getStringAttr("*"))); | ||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("expected_output_layouts"), | ||
| rewriter.getStringAttr("*"))); | ||
|
|
||
| SmallVector<NamedAttribute, 4> customAttrs; | ||
| customAttrs.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("reduction_kind"), | ||
| rewriter.getStringAttr(reductionKind.value()))); | ||
| customAttrs.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("scatter_dimension"), | ||
| op->getAttr("scatter_dimension"))); | ||
| customAttrs.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("replica_groups"), | ||
| op->getAttr("replica_groups"))); | ||
|
|
||
| newAttrsVec.push_back( | ||
| NamedAttribute(rewriter.getStringAttr("custom_attrs"), | ||
| rewriter.getDictionaryAttr(customAttrs))); | ||
|
|
||
| ArrayRef<NamedAttribute> newCustomAttrs(newAttrsVec); | ||
| auto newOp = rewriter.create<mhlo_disc::CustomCallV2Op>( | ||
| op->getLoc(), op->getResultTypes(), op->getOperands(), newCustomAttrs); | ||
| rewriter.replaceOp(op, newOp.getResults()); | ||
| return success(); | ||
| } | ||
| }; | ||
| } // namespace | ||
|
|
||
| struct DiscCollectiveOpsRewriterPass | ||
| : public DiscCollectiveOpsRewriterPassBase<DiscCollectiveOpsRewriterPass> { | ||
| void getDependentDialects(DialectRegistry& registry) const override { | ||
| registry.insert<mlir::mhlo_disc::MhloDiscDialect>(); | ||
| } | ||
| void runOnOperation() override { | ||
| func::FuncOp func = getOperation(); | ||
| MLIRContext* ctx = &getContext(); | ||
|
|
||
| RewritePatternSet patterns(ctx); | ||
| patterns.insert<AllReduceOpConverter>(ctx); | ||
| patterns.insert<AllGatherOpConverter>(ctx); | ||
| patterns.insert<ReduceScatterOpConverter>(ctx); | ||
| if (failed(applyPatternsAndFoldGreedily(func, std::move(patterns)))) { | ||
| func.emitError("applyPatternsAndFoldGreedily does not converge"); | ||
| signalPassFailure(); | ||
| } | ||
| } | ||
| }; | ||
|
|
||
| std::unique_ptr<OperationPass<func::FuncOp>> | ||
| createDiscCollectiveOpsRewriterPass() { | ||
| return std::make_unique<DiscCollectiveOpsRewriterPass>(); | ||
| } | ||
|
|
||
| } // namespace disc_ral | ||
| } // namespace mlir |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.