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[transform] add transform dialect interpreter pass (alibaba#765)
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5 changes: 5 additions & 0 deletions
5
...sc-transform/transforms/tests/metadata-only-transform-dialect-interpreter-standalone.mlir
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,5 @@ | ||
| transform.sequence failures(propagate) { | ||
| ^bb0(%arg1: !pdl.operation): | ||
| %0 = transform.structured.match ops{["linalg.matmul"]} in %arg1 | ||
| %1, %loops:3 = transform.structured.tile %0 [2, 3, 4] | ||
| } |
41 changes: 41 additions & 0 deletions
41
...mpiler/mlir/disc/tools/disc-transform/transforms/tests/transform-dialect-interpreter.mlir
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| // RUN: disc-opt --disc-transform-dialect-interpreter -split-input-file %s | FileCheck %s --check-prefix=INLINE | ||
| // RUN: disc-opt --disc-transform-dialect-interpreter=transform-file-name=%p/metadata-only-transform-dialect-interpreter-standalone.mlir -split-input-file %s | FileCheck %s --check-prefix=STANDALONE | ||
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| // INLINE-LABEL: @matmul_nn | ||
| func.func @matmul_nn(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>, %arg2: tensor<?x?xf32>) -> tensor<?x?xf32> { | ||
| %cst = arith.constant 0.000000e+00 : f32 | ||
| %0 = linalg.fill ins(%cst : f32) outs(%arg2 : tensor<?x?xf32>) -> tensor<?x?xf32> | ||
| // INLINE: %{{.*}} = scf.for | ||
| // INLINE-NEXT: %{{.*}} = scf.for | ||
| // INLINE-NEXT: %{{.*}} = scf.for | ||
| // INLINE: tensor.extract_slice | ||
| // INLINE-NEXT: tensor.extract_slice | ||
| // INLINE-NEXT: tensor.extract_slice | ||
| // INLINE-NEXT: linalg.matmul | ||
| %1 = linalg.matmul ins(%arg0, %arg1 : tensor<?x?xf32>, tensor<?x?xf32>) outs(%0 : tensor<?x?xf32>) -> tensor<?x?xf32> | ||
| return %1 : tensor<?x?xf32> | ||
| } | ||
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| transform.sequence failures(propagate) { | ||
| ^bb0(%arg1: !pdl.operation): | ||
| %0 = transform.structured.match ops{["linalg.matmul"]} in %arg1 | ||
| %1, %loops:3 = transform.structured.tile %0 [2, 3, 4] | ||
| } | ||
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| // ----- | ||
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| // STANDALONE-LABEL: @matmul_nn | ||
| func.func @matmul_nn(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>, %arg2: tensor<?x?xf32>) -> tensor<?x?xf32> { | ||
| %cst = arith.constant 0.000000e+00 : f32 | ||
| %0 = linalg.fill ins(%cst : f32) outs(%arg2 : tensor<?x?xf32>) -> tensor<?x?xf32> | ||
| // STANDALONE: %{{.*}} = scf.for | ||
| // STANDALONE-NEXT: %{{.*}} = scf.for | ||
| // STANDALONE-NEXT: %{{.*}} = scf.for | ||
| // STANDALONE: tensor.extract_slice | ||
| // STANDALONE-NEXT: tensor.extract_slice | ||
| // STANDALONE-NEXT: tensor.extract_slice | ||
| // STANDALONE-NEXT: linalg.matmul | ||
| %1 = linalg.matmul ins(%arg0, %arg1 : tensor<?x?xf32>, tensor<?x?xf32>) outs(%0 : tensor<?x?xf32>) -> tensor<?x?xf32> | ||
| return %1 : tensor<?x?xf32> | ||
| } |
170 changes: 170 additions & 0 deletions
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tao_compiler/mlir/disc/tools/disc-transform/transforms/transform_dialect_interpreter.cc
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| // Copyright 2022 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. | ||
|
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| #include "iree-dialects/Dialect/LinalgExt/IR/LinalgExtDialect.h" | ||
| #include "iree-dialects/Dialect/LinalgExt/TransformOps/LinalgExtTransformOps.h" | ||
| #include "iree-dialects/Dialect/LinalgTransform/LinalgTransformOps.h" | ||
| #include "iree-dialects/Dialect/LinalgTransform/StructuredTransformOpsExt.h" | ||
| #include "iree-dialects/Dialect/LinalgTransform/TransformInterpreterUtils.h" | ||
| #include "llvm/Support/Debug.h" | ||
| #include "llvm/Support/SourceMgr.h" | ||
| #include "mlir/Dialect/Affine/IR/AffineOps.h" | ||
| #include "mlir/Dialect/Arith/IR/Arith.h" | ||
| #include "mlir/Dialect/Arith/Transforms/BufferizableOpInterfaceImpl.h" | ||
| #include "mlir/Dialect/Bufferization/IR/Bufferization.h" | ||
| #include "mlir/Dialect/Bufferization/Transforms/FuncBufferizableOpInterfaceImpl.h" | ||
| #include "mlir/Dialect/Func/IR/FuncOps.h" | ||
| #include "mlir/Dialect/LLVMIR/LLVMDialect.h" | ||
| #include "mlir/Dialect/Linalg/IR/Linalg.h" | ||
| #include "mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.h" | ||
| #include "mlir/Dialect/Linalg/Transforms/BufferizableOpInterfaceImpl.h" | ||
| #include "mlir/Dialect/PDL/IR/PDL.h" | ||
| #include "mlir/Dialect/PDLInterp/IR/PDLInterp.h" | ||
| #include "mlir/Dialect/SCF/IR/SCF.h" | ||
| #include "mlir/Dialect/SCF/Transforms/BufferizableOpInterfaceImpl.h" | ||
| #include "mlir/Dialect/Tensor/IR/Tensor.h" | ||
| #include "mlir/Dialect/Tensor/Transforms/BufferizableOpInterfaceImpl.h" | ||
| #include "mlir/Dialect/Transform/IR/TransformInterfaces.h" | ||
| #include "mlir/Dialect/Vector/IR/VectorOps.h" | ||
| #include "mlir/Dialect/Vector/Transforms/BufferizableOpInterfaceImpl.h" | ||
| #include "mlir/IR/MLIRContext.h" | ||
| #include "mlir/Parser/Parser.h" | ||
| #include "mlir/Pass/Pass.h" | ||
| #include "mlir/Support/FileUtilities.h" | ||
| #include "mlir/Transforms/Passes.h" | ||
| #include "tensorflow/compiler/mlir/disc/tools/disc-transform/transforms/PassDetail.h" | ||
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| #define DEBUG_TYPE "disc-transform-dialect-interpreter" | ||
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| // This file implements the logic to apply transform dialect ops for codegen. | ||
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| namespace mlir { | ||
| namespace disc_ral { | ||
| namespace { | ||
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| LogicalResult parseTransformModuleFromFile( | ||
| MLIRContext* context, llvm::StringRef transformFileName, | ||
| OwningOpRef<ModuleOp>& transformModule) { | ||
| // Parse transformFileName content into a ModuleOp. | ||
| std::string errorMessage; | ||
| auto memoryBuffer = openInputFile(transformFileName, &errorMessage); | ||
| if (!memoryBuffer) { | ||
| llvm::errs() << "failed to parse transform file: " << transformFileName | ||
| << "\n"; | ||
| return failure(); | ||
| } | ||
| // Tell sourceMgr about this buffer, the parser will pick it up. | ||
| llvm::SourceMgr sourceMgr; | ||
| sourceMgr.AddNewSourceBuffer(std::move(memoryBuffer), llvm::SMLoc()); | ||
| transformModule = | ||
| OwningOpRef<ModuleOp>(parseSourceFile<ModuleOp>(sourceMgr, context)); | ||
| return success(); | ||
| } | ||
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| struct DiscTransformDialectInterpreterPass | ||
| : public DiscTransformDialectInterpreterPassBase< | ||
| DiscTransformDialectInterpreterPass> { | ||
| explicit DiscTransformDialectInterpreterPass(const std::string& fileName, | ||
| bool enableExpensiveChecks) | ||
| : DiscTransformDialectInterpreterPassBase< | ||
| DiscTransformDialectInterpreterPass>:: | ||
| DiscTransformDialectInterpreterPassBase() { | ||
| this->transformFileName_ = fileName; | ||
| this->enableExpensiveChecks_ = enableExpensiveChecks; | ||
| } | ||
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| void getDependentDialects(DialectRegistry& registry) const override { | ||
| // TODO: this is only necessary to make registry subset happy when running | ||
| // the lowering to LLVM. The lowering should be changed to stop using the | ||
| // nested pass manager and this will go away. | ||
|
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| // clang-format off | ||
| registry.insert<arith::ArithDialect, | ||
| AffineDialect, | ||
| bufferization::BufferizationDialect, | ||
| iree_compiler::IREE::LinalgExt::IREELinalgExtDialect, | ||
| func::FuncDialect, | ||
| linalg::LinalgDialect, | ||
| linalg::transform::LinalgTransformDialect, | ||
| LLVM::LLVMDialect, | ||
| pdl::PDLDialect, | ||
| pdl_interp::PDLInterpDialect, | ||
| scf::SCFDialect, | ||
| tensor::TensorDialect, | ||
| vector::VectorDialect | ||
| // clang-format on | ||
| >(); | ||
|
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| // TODO: these should be registered by the extension instead, but there is | ||
| // no support for it in core currently. | ||
| arith::registerBufferizableOpInterfaceExternalModels(registry); | ||
| linalg::registerBufferizableOpInterfaceExternalModels(registry); | ||
| scf::registerBufferizableOpInterfaceExternalModels(registry); | ||
| bufferization::func_ext::registerBufferizableOpInterfaceExternalModels( | ||
| registry); | ||
| tensor::registerBufferizableOpInterfaceExternalModels(registry); | ||
| vector::registerBufferizableOpInterfaceExternalModels(registry); | ||
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| registry.addExtensions< | ||
| mlir::iree_compiler::IREE::LinalgExt::LinalgExtTransformOpsExtension, | ||
| transform_ext::StructuredTransformOpsExtension>(); | ||
| linalg::registerTransformDialectExtension(registry); | ||
| } | ||
|
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| void runOnOperation() override; | ||
| }; | ||
|
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| void DiscTransformDialectInterpreterPass::runOnOperation() { | ||
| ModuleOp module = getOperation(); | ||
| if (transformFileName_.empty()) { | ||
| llvm::errs() << "no transform file name specified, assuming the transform " | ||
| "module is embedded in the IR next to the top-level\n"; | ||
| // parse transform ops from the module itself. | ||
| for (auto op : | ||
| module.getBody()->getOps<transform::TransformOpInterface>()) { | ||
| if (failed(transform::applyTransforms( | ||
| module, op, | ||
| transform::TransformOptions().enableExpensiveChecks( | ||
| enableExpensiveChecks_)))) | ||
| return signalPassFailure(); | ||
| } | ||
| } else { | ||
| // parse transform ops from a standalone file. | ||
| OwningOpRef<ModuleOp> transformModule; | ||
| if (failed(parseTransformModuleFromFile( | ||
| module.getContext(), transformFileName_, transformModule))) { | ||
| llvm::errs() << "failed to load transform ops from file " | ||
| << transformFileName_ << "\n"; | ||
| return signalPassFailure(); | ||
| } | ||
| for (auto op : transformModule.get() | ||
| .getBody() | ||
| ->getOps<transform::TransformOpInterface>()) { | ||
| if (failed(transform::applyTransforms( | ||
| module, op, | ||
| transform::TransformOptions().enableExpensiveChecks( | ||
| enableExpensiveChecks_)))) | ||
| return signalPassFailure(); | ||
| } | ||
| } | ||
| } | ||
|
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| } // namespace | ||
|
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| std::unique_ptr<OperationPass<ModuleOp>> | ||
| createDiscTransformDialectInterpreterPass(const std::string& fileName, | ||
| bool enableExpensiveChecks) { | ||
| return std::make_unique<DiscTransformDialectInterpreterPass>( | ||
| fileName, enableExpensiveChecks); | ||
| } | ||
|
|
||
| } // namespace disc_ral | ||
| } // namespace mlir |
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