| 1 | //===- TestTensorCopyInsertion.cpp - Bufferization Analysis -----*- c++ -*-===// |
| 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/IR/Bufferization.h" |
| 10 | #include "mlir/Dialect/Bufferization/Transforms/OneShotAnalysis.h" |
| 11 | #include "mlir/Dialect/Bufferization/Transforms/Transforms.h" |
| 12 | #include "mlir/Pass/Pass.h" |
| 13 | |
| 14 | using namespace mlir; |
| 15 | |
| 16 | namespace { |
| 17 | /// This pass runs One-Shot Analysis and inserts copies for all OpOperands that |
| 18 | /// were decided to bufferize out-of-place. After running this pass, a |
| 19 | /// bufferization can write to buffers directly (without making copies) and no |
| 20 | /// longer has to care about potential read-after-write conflicts. |
| 21 | /// |
| 22 | /// Note: By default, all newly inserted tensor copies/allocs (i.e., newly |
| 23 | /// created `bufferization.alloc_tensor` ops) that do not escape block are |
| 24 | /// annotated with `escape = false`. If `create-allocs` is unset, all newly |
| 25 | /// inserted tensor copies/allocs are annotated with `escape = true`. In that |
| 26 | /// case, they are not getting deallocated when bufferizing the IR. |
| 27 | struct TestTensorCopyInsertionPass |
| 28 | : public PassWrapper<TestTensorCopyInsertionPass, OperationPass<ModuleOp>> { |
| 29 | MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestTensorCopyInsertionPass) |
| 30 | |
| 31 | TestTensorCopyInsertionPass() = default; |
| 32 | TestTensorCopyInsertionPass(const TestTensorCopyInsertionPass &pass) |
| 33 | : PassWrapper(pass) {} |
| 34 | |
| 35 | void getDependentDialects(DialectRegistry ®istry) const override { |
| 36 | registry.insert<bufferization::BufferizationDialect>(); |
| 37 | } |
| 38 | StringRef getArgument() const final { return "test-tensor-copy-insertion" ; } |
| 39 | StringRef getDescription() const final { |
| 40 | return "Module pass to test Tensor Copy Insertion" ; |
| 41 | } |
| 42 | |
| 43 | void runOnOperation() override { |
| 44 | bufferization::OneShotBufferizationOptions options; |
| 45 | options.allowReturnAllocsFromLoops = allowReturnAllocsFromLoops; |
| 46 | options.bufferizeFunctionBoundaries = bufferizeFunctionBoundaries; |
| 47 | if (mustInferMemorySpace) { |
| 48 | options.defaultMemorySpaceFn = |
| 49 | [](TensorType t) -> std::optional<Attribute> { return std::nullopt; }; |
| 50 | } |
| 51 | |
| 52 | bufferization::BufferizationState bufferizationState; |
| 53 | |
| 54 | if (failed(bufferization::insertTensorCopies(getOperation(), options, |
| 55 | bufferizationState))) |
| 56 | signalPassFailure(); |
| 57 | } |
| 58 | |
| 59 | Option<bool> allowReturnAllocsFromLoops{ |
| 60 | *this, "allow-return-allocs-from-loops" , |
| 61 | llvm::cl::desc("Allows returning/yielding new allocations from a loop." ), |
| 62 | llvm::cl::init(Val: false)}; |
| 63 | Option<bool> bufferizeFunctionBoundaries{ |
| 64 | *this, "bufferize-function-boundaries" , |
| 65 | llvm::cl::desc("Bufferize function boundaries." ), llvm::cl::init(Val: false)}; |
| 66 | Option<bool> mustInferMemorySpace{ |
| 67 | *this, "must-infer-memory-space" , |
| 68 | llvm::cl::desc( |
| 69 | "The memory space of an memref types must always be inferred. If " |
| 70 | "unset, a default memory space of 0 is used otherwise." ), |
| 71 | llvm::cl::init(Val: false)}; |
| 72 | }; |
| 73 | } // namespace |
| 74 | |
| 75 | namespace mlir::test { |
| 76 | void registerTestTensorCopyInsertionPass() { |
| 77 | PassRegistration<TestTensorCopyInsertionPass>(); |
| 78 | } |
| 79 | } // namespace mlir::test |
| 80 | |