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[transform] add disc_linalg_ext::multi_level_pack op #838
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43 changes: 43 additions & 0 deletions
43
tao_compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtBase.td
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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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| #ifndef IREE_DIALECT_LINALGEXT_BASE | ||
| #define IREE_DIALECT_LINALGEXT_BASE | ||
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| include "mlir/IR/OpBase.td" | ||
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| //===----------------------------------------------------------------------===// | ||
| // Dialect definition | ||
| //===----------------------------------------------------------------------===// | ||
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| def DISCLinalgExt_Dialect : Dialect { | ||
| let name = "disc_linalg_ext"; | ||
| let cppNamespace = "::mlir::disc_ral::disc_linalg_ext"; | ||
| let description = [{ | ||
| The `disc_linalg_ext` dialect is intended to experiment more support for | ||
| non-structured operations, ie, can not be represented in Linalg operations. | ||
| }]; | ||
| let hasCanonicalizer = 1; | ||
| let useDefaultAttributePrinterParser = 0; | ||
| } | ||
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| //===----------------------------------------------------------------------===// | ||
| // Type definitions | ||
| //===----------------------------------------------------------------------===// | ||
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| class RankedTensorOrMemRefOf<list<Type> allowedTypes> : | ||
| ShapedContainerType<allowedTypes, | ||
| Or<[IsMemRefTypePred, And<[IsTensorTypePred, HasRankPred]>]>, | ||
| "ranked tensor or memref", "::mlir::ShapedType">; | ||
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| def AnyRankedTensorOrMemRefType : RankedTensorOrMemRefOf<[AnyType]>; | ||
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| #endif // IREE_DIALECT_LINALGEXT_BASE |
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37
tao_compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtDialect.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 "tensorflow/compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtDialect.h" | ||
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| #include "llvm/ADT/SmallVector.h" | ||
| #include "llvm/ADT/TypeSwitch.h" | ||
| #include "llvm/Support/SourceMgr.h" | ||
| #include "mlir/IR/Attributes.h" | ||
| #include "mlir/IR/DialectImplementation.h" | ||
| #include "mlir/IR/OpDefinition.h" | ||
| #include "mlir/IR/OpImplementation.h" | ||
| #include "tensorflow/compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtDialect.cc.inc" | ||
| #include "tensorflow/compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtOps.h" | ||
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| namespace mlir { | ||
| namespace disc_ral { | ||
| namespace disc_linalg_ext { | ||
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| void DISCLinalgExtDialect::initialize() { | ||
| #define GET_OP_LIST | ||
| addOperations< | ||
| #include "tensorflow/compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtOps.cc.inc" | ||
| >(); | ||
| } | ||
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| } // namespace disc_linalg_ext | ||
| } // namespace disc_ral | ||
| } // namespace mlir |
19 changes: 19 additions & 0 deletions
19
tao_compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtDialect.h
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| @@ -0,0 +1,19 @@ | ||
| // 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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| #ifndef DISC_TOOLS_DISC_TRANSFORM_LINALGEXT_DIALECT_EXT_ | ||
| #define DISC_TOOLS_DISC_TRANSFORM_LINALGEXT_DIALECT_EXT_ | ||
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| #include "mlir/IR/Dialect.h" | ||
| #include "mlir/IR/OpDefinition.h" | ||
| #include "tensorflow/compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtDialect.h.inc" | ||
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| #endif // DISC_TOOLS_DISC_TRANSFORM_LINALGEXT_DIALECT_EXT_ |
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83
tao_compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtInterfaces.cc
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,83 @@ | ||
| // 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 "tensorflow/compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtInterfaces.h" | ||
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| #include "mlir/Dialect/Arith/IR/Arith.h" | ||
| #include "mlir/Dialect/MemRef/IR/MemRef.h" | ||
| #include "mlir/Dialect/Tensor/IR/Tensor.h" | ||
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| namespace mlir { | ||
| namespace disc_ral { | ||
| namespace disc_linalg_ext { | ||
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| namespace detail { | ||
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| LogicalResult verifyLinalgExtOpInterface(Operation* op) { | ||
| LinalgExtOp linalgExtOp = cast<LinalgExtOp>(op); | ||
| if (op->getNumResults()) { | ||
| if (op->getNumResults() != linalgExtOp.getNumOutputs()) { | ||
| return linalgExtOp.emitOpError( | ||
| "expected number of outputs to be same as the number of results"); | ||
| } | ||
| for (auto en : llvm::enumerate(op->getResultTypes())) { | ||
| Type outputType = linalgExtOp.getOutputs()[en.index()].getType(); | ||
| if (en.value() != outputType) { | ||
| return linalgExtOp.emitOpError("expected type of `outs` operand #") | ||
| << en.index() << " " << outputType | ||
| << " to be same as result type " << en.value(); | ||
| } | ||
| } | ||
| } | ||
| return success(); | ||
| } | ||
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| } // namespace detail | ||
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| #include "tensorflow/compiler/mlir/disc/tools/disc-transform/LinalgExt/LinalgExtOpInterfaces.cc.inc" | ||
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| template <typename Ty, typename DimOpTy> | ||
| static void getDimValues(OpBuilder& b, Location loc, Value v, Ty t, | ||
| SmallVector<Value>& dimVals) { | ||
| for (auto dim : llvm::enumerate(t.getShape())) { | ||
| if (ShapedType::isDynamic(dim.value())) { | ||
| dimVals.push_back(b.create<DimOpTy>(loc, v, dim.index())); | ||
| } else { | ||
| dimVals.push_back(b.create<arith::ConstantIndexOp>(loc, dim.value())); | ||
| } | ||
| } | ||
| } | ||
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| LogicalResult LinalgExtOp::reifyResultShapes( | ||
| OpBuilder& b, ReifiedRankedShapedTypeDims& reifiedReturnShapes) { | ||
| Operation* op = getOperation(); | ||
| for (auto output : getOutputs()) { | ||
| SmallVector<Value> dims; | ||
| Type outputType = output.getType(); | ||
| if (auto rankedTensorType = outputType.dyn_cast<RankedTensorType>()) { | ||
| getDimValues<RankedTensorType, tensor::DimOp>(b, op->getLoc(), output, | ||
| rankedTensorType, dims); | ||
| } else if (auto memrefType = outputType.dyn_cast<MemRefType>()) { | ||
| getDimValues<MemRefType, memref::DimOp>(b, op->getLoc(), output, | ||
| memrefType, dims); | ||
| } else if (!outputType.isIntOrIndexOrFloat()) { | ||
| return op->emitOpError( | ||
| "invalid type for output operand, expected tensor, " | ||
| "memref or scalar type"); | ||
| } | ||
| reifiedReturnShapes.emplace_back(std::move(dims)); | ||
| } | ||
| return success(); | ||
| } | ||
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| } // namespace disc_linalg_ext | ||
| } // namespace disc_ral | ||
| } // namespace mlir |
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It could be in
./tao_compiler/.bazelrc.user.