| 1 | //===- TensorCopyInsertion.cpp - Resolve Bufferization Conflicts w/ Copies ===// |
|---|
| 2 | // |
|---|
| 3 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
|---|
| 4 | // See https://llvm.org/LICENSE.txt for license information. |
|---|
| 5 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
|---|
| 6 | // |
|---|
| 7 | //===----------------------------------------------------------------------===// |
|---|
| 8 | |
|---|
| 9 | #include "mlir/Dialect/Bufferization/Transforms/Passes.h" |
|---|
| 10 | |
|---|
| 11 | #include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h" |
|---|
| 12 | #include "mlir/Dialect/Bufferization/IR/Bufferization.h" |
|---|
| 13 | #include "mlir/Dialect/Bufferization/Transforms/Bufferize.h" |
|---|
| 14 | #include "mlir/Dialect/Bufferization/Transforms/OneShotAnalysis.h" |
|---|
| 15 | #include "mlir/Dialect/Bufferization/Transforms/OneShotModuleBufferize.h" |
|---|
| 16 | #include "mlir/Dialect/Bufferization/Transforms/Transforms.h" |
|---|
| 17 | #include "mlir/Dialect/Func/IR/FuncOps.h" |
|---|
| 18 | |
|---|
| 19 | namespace mlir { |
|---|
| 20 | namespace bufferization { |
|---|
| 21 | #define GEN_PASS_DEF_TENSORCOPYINSERTION |
|---|
| 22 | #include "mlir/Dialect/Bufferization/Transforms/Passes.h.inc" |
|---|
| 23 | } // namespace bufferization |
|---|
| 24 | } // namespace mlir |
|---|
| 25 | |
|---|
| 26 | using namespace mlir; |
|---|
| 27 | using namespace mlir::bufferization; |
|---|
| 28 | |
|---|
| 29 | LogicalResult mlir::bufferization::insertTensorCopies( |
|---|
| 30 | Operation *op, const OneShotBufferizationOptions &options, |
|---|
| 31 | BufferizationStatistics *statistics) { |
|---|
| 32 | OneShotAnalysisState state(op, options); |
|---|
| 33 | // Run normal One-Shot Bufferize analysis or One-Shot Module Bufferize |
|---|
| 34 | // analysis depending on whether function boundary bufferization is enabled or |
|---|
| 35 | // not. |
|---|
| 36 | if (options.bufferizeFunctionBoundaries) { |
|---|
| 37 | if (failed(analyzeModuleOp(cast<ModuleOp>(op), state, statistics))) |
|---|
| 38 | return failure(); |
|---|
| 39 | } else { |
|---|
| 40 | if (failed(result: analyzeOp(op, state, statistics))) |
|---|
| 41 | return failure(); |
|---|
| 42 | } |
|---|
| 43 | |
|---|
| 44 | if (options.testAnalysisOnly) |
|---|
| 45 | return success(); |
|---|
| 46 | |
|---|
| 47 | return insertTensorCopies(op, state); |
|---|
| 48 | } |
|---|
| 49 | |
|---|
| 50 | LogicalResult |
|---|
| 51 | mlir::bufferization::insertTensorCopies(Operation *op, |
|---|
| 52 | const AnalysisState &state) { |
|---|
| 53 | IRRewriter rewriter(op->getContext()); |
|---|
| 54 | |
|---|
| 55 | WalkResult result = op->walk(callback: [&](Operation *op) { |
|---|
| 56 | auto bufferizableOp = state.getOptions().dynCastBufferizableOp(op); |
|---|
| 57 | if (!bufferizableOp) |
|---|
| 58 | return WalkResult::skip(); |
|---|
| 59 | |
|---|
| 60 | // Find inplacability conflicts and resolve them. (Typically with explicit |
|---|
| 61 | // tensor copies in the form of AllocTensorOps.) |
|---|
| 62 | rewriter.setInsertionPoint(op); |
|---|
| 63 | if (failed(bufferizableOp.resolveConflicts(rewriter, state))) |
|---|
| 64 | return WalkResult::interrupt(); |
|---|
| 65 | |
|---|
| 66 | return WalkResult::advance(); |
|---|
| 67 | }); |
|---|
| 68 | |
|---|
| 69 | return failure(isFailure: result.wasInterrupted()); |
|---|
| 70 | } |
|---|
| 71 | |
|---|
