MLIR  19.0.0git
Passes.h
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1 //===- Passes.h - Pass Entrypoints ------------------------------*- 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 // This header file defines prototypes that expose pass constructors in the
10 // shape transformation library.
11 //
12 //===----------------------------------------------------------------------===//
13 
14 #ifndef MLIR_DIALECT_SHAPE_TRANSFORMS_PASSES_H_
15 #define MLIR_DIALECT_SHAPE_TRANSFORMS_PASSES_H_
16 
17 #include "mlir/Pass/Pass.h"
18 
19 namespace mlir {
20 class ConversionTarget;
21 class ModuleOp;
22 class TypeConverter;
23 namespace func {
24 class FuncOp;
25 } // namespace func
26 } // namespace mlir
27 
28 namespace mlir {
29 
30 #define GEN_PASS_DECL
31 #include "mlir/Dialect/Shape/Transforms/Passes.h.inc"
32 
33 /// Creates an instance of the ShapeToShapeLowering pass that legalizes Shape
34 /// dialect to be convertible to Arith. For example, `shape.num_elements` get
35 /// transformed to `shape.reduce`, which can be lowered to SCF and Arith.
36 std::unique_ptr<Pass> createShapeToShapeLowering();
37 
38 /// Collects a set of patterns to rewrite ops within the Shape dialect.
39 void populateShapeRewritePatterns(RewritePatternSet &patterns);
40 
41 // Collects a set of patterns to replace all constraints with passing witnesses.
42 // This is intended to then allow all ShapeConstraint related ops and data to
43 // have no effects and allow them to be freely removed such as through
44 // canonicalization and dead code elimination.
45 //
46 // After this pass, no cstr_ operations exist.
47 void populateRemoveShapeConstraintsPatterns(RewritePatternSet &patterns);
48 std::unique_ptr<OperationPass<func::FuncOp>> createRemoveShapeConstraintsPass();
49 
50 // Bufferizes shape dialect ops.
51 //
52 // Note that most shape dialect ops must be converted to std before
53 // bufferization happens, as they are intended to be bufferized at the std
54 // level.
55 std::unique_ptr<OperationPass<func::FuncOp>> createShapeBufferizePass();
56 
57 /// Outline the shape computation part by adding shape.func and populate
58 /// conrresponding mapping infomation into ShapeMappingAnalysis.
59 std::unique_ptr<OperationPass<ModuleOp>> createOutlineShapeComputationPass();
60 
61 //===----------------------------------------------------------------------===//
62 // Registration
63 //===----------------------------------------------------------------------===//
64 
65 /// Generate the code for registering passes.
66 #define GEN_PASS_REGISTRATION
67 #include "mlir/Dialect/Shape/Transforms/Passes.h.inc"
68 
69 } // namespace mlir
70 
71 #endif // MLIR_DIALECT_SHAPE_TRANSFORMS_PASSES_H_
Include the generated interface declarations.
std::unique_ptr< Pass > createShapeToShapeLowering()
Creates an instance of the ShapeToShapeLowering pass that legalizes Shape dialect to be convertible t...
void populateShapeRewritePatterns(RewritePatternSet &patterns)
Collects a set of patterns to rewrite ops within the Shape dialect.
std::unique_ptr< OperationPass< ModuleOp > > createOutlineShapeComputationPass()
Outline the shape computation part by adding shape.func and populate conrresponding mapping infomatio...
std::unique_ptr< OperationPass< func::FuncOp > > createShapeBufferizePass()
Definition: Bufferize.cpp:47
void populateRemoveShapeConstraintsPatterns(RewritePatternSet &patterns)
std::unique_ptr< OperationPass< func::FuncOp > > createRemoveShapeConstraintsPass()