# MLIR

Multi-Level IR Compiler Framework

# Usage of 'const' in MLIR, for core IR types

aka, where’d const go?

The MLIR data structures that represent the IR itself (Instruction, Block, etc) form a graph-based data structure, and the compiler analyses and passes frequently walk this graph (e.g. traversing from defs to users). The early design of MLIR adopted the const model of LLVM, which is familiar and well understood (even though the LLVM implementation is flawed in many ways).

The design team since decided to change to a different model, which eschews const entirely for the core IR types: you should never see a const method on Operation, should never see the type const Value, and you shouldn’t feel bad about this. That said, you should use const for non-IR types, like SmallVector’s and many other things.

The document below explains this design point from the viewpoint of “why make a change”, to explain the rationale and the tradeoffs involved that led us to this potentially controversial design point.

Bjarke Roune summarized the situation like this:

In my opinion const correctness is highly valuable, catching many bugs and making it clear in a code base where the mutations happen. In my opinion const correctness still isn’t worth it in particular for IR elements because of the special uses and properties of IRs, in particular that it is common to transfer a pointer/reference to an instruction from an analysis to an optimization which will change the instruction. The analysis should be const, the optimization needs to get a non-const pointer. So all analyses either end up being templates (and if they never get instantiated in a const context, then the point of const correctness has been defeated), you need to somehow launder the const in a safe way or there will be const_casts. These options are all bad, probably so bad as to out-weigh the benefits of const.

# Reconsidering const in MLIR

This document argues this design is introducing significant sub-optimalities into the MLIR codebase, argues that the cost/benefit tradeoff of this design is a poor tradeoff, and proposes switching to a much simpler approach - eliminating the use of const of these IR types entirely.

Note: This document is only discussing things like const Value and const Operation*. There is no proposed change for other types, e.g. SmallVector references, the immutable types like Attribute, etc.

## Background: The LLVM Const Model ¶

The LLVM and MLIR data structures provide the IR data structures (like mlir::Operations and their users) as a structured cyclic graph data structure. Clients of the IR typically walk up and down the graph, perform dynamic down casting (of various sorts) to check for patterns, and use some high-abstraction pattern matching and binding facilities to do their work.

The basic idea of LLVM’s design is that these traversals of the IR should preserve the const’ness of a pointer: if you have a const pointer to an instruction and ask for its parent (or operand, users, etc), you should get a const pointer to the block containing the instruction (or value defining the operand, instruction using the instruction, etc). The instruction class looks like this:

namespace llvm {
class Instruction : ...  {
BasicBlock *Parent;
public:
// A const instruction returns a const parent pointer.
inline const BasicBlock *getParent() const { return Parent; }
// A non-const instruction returns a non-const parent pointer.
inline       BasicBlock *getParent()       { return Parent; }
...
};
}


The rationale for this design is that it would be const-incorrect to return a non-const pointer from getParent, because you could then walk the block to find the instruction again and get non-const references to the same instruction - all without a const_cast.

This const model is simple and the C++ type system generally supports it through code duplication of methods. That said, LLVM is actually inconsistent and buggy about this. Even the core classes have bugs: llvm::Instruction::getOperand() isn’t currently const correct! There are other subsystems (e.g. the llvm/IR/PatternMatch.h APIs) where you can perform a pattern match on a const IR object and bind a non-const IR object.

LLVM is a mature technology with hundreds of people working on it. The fact that it still isn’t correctly following the const model it set out for strongly hints that one of: 1) The design is too complicated to be practical, 2) the benefits of the model aren’t worth the cost of the complexity, or 3) both 1 and 2, together in some combination.

## Advantages of Const-correctness in MLIR ¶

Even though this doc argues for eliminating const from MLIR, it is important to evaluate that as a tradeoff with the advantages the const model provides, allowing us to do a cost/benefit tradeoff. These are the benefits we see:

The major advantage of allowing const on MLIR types is as a marker in APIs that indicate that the function will not modify the specified values. For example, the dominator APIs have a dominates(const Block*, const Block*) method, and the consts provide a way of indicating that the call won’t modify the blocks passed in - similarly predicates like Instruction::isTerminator() const do not modify the receiver object.

It is also an advantage that MLIR follows the generally prevailing pattern of C++ code, which generally uses const. Consistency with the community norm is important.

## Costs of Const-correctness in MLIR ¶

As mentioned above, early work on MLIR adopted the same design as LLVM intended, allowing const-correct traversals in the APIs. Here we discuss the various costs of doing this by looking at some examples, listed in roughly increasing order of severity.

### Pervasively duplicated accessors ¶

Just as the getParent() example above shows, achieving this const model requires that all of the graph traversal accessors be duplicated into const and non-const versions. This causes API bloat and slows compile time, but these are minor problems.

The more significant issue is that this duplication can be so significant that the signal disappears in the noise, for example mlir::Operation ends up with things like this, which is twice as much API surface area just to try to satisfy const.

  operand_iterator operand_begin();
operand_iterator operand_end();

/// Returns an iterator on the underlying Value's (Value ).
operand_range getOperands();

// Support const operand iteration.
using const_operand_iterator =
OperandIterator<const Operation, const Value>;
using const_operand_range = llvm::iterator_range<const_operand_iterator>;

const_operand_iterator operand_begin() const;
const_operand_iterator operand_end() const;

/// Returns a const iterator on the underlying Value's (Value ).
llvm::iterator_range<const_operand_iterator> getOperands() const;

ArrayRef<OpOperand> getOpOperands() const {
return getOperandStorage().getOperands();
}
MutableArrayRef<OpOperand> getOpOperands() {
return getOperandStorage().getOperands();
}

OpOperand &getOpOperand(unsigned idx) { return getOpOperands()[idx]; }
const OpOperand &getOpOperand(unsigned idx) const {
return getOpOperands()[idx];
}



### Templated accessors ¶

A related issue is that having to provide both const and non-const versions of accessors leads to us having to turn more code into templates than would otherwise be desirable. Things like ResultIterator and ResultTypeIterator are templates only because they are generic over const and non-const versions of types. This leads to them being defined inline in headers (instead of in .cpp files).

Thus, our const model is leading to more code in headers and more complexity in the implementation.

### Const incorrect in practice ¶

For some things, const is more trouble than it is worth, so they never get updated.

This means that certain API in practice don’t provide a const variant, leading to pervasive use of const_cast to drop the const qualifier. For example the logic in Matchers.h doesn’t support const pointers at all, even though matching and binding values themselves makes perfect sense for both const and non-const values. Actually fixing this would cause massive code bloat and complexity.

Other parts of the code are just outright incorrect. For example, the operation cloning methods are defined on Operation like this:

Operation *clone(BlockAndValueMapping &mapper, MLIRContext *context) const;

Operation *clone(MLIRContext *context) const;


While it makes sense for a clone method to be const conceptually (the original operation isn’t modified) this is a violation of the model, since the returned operation must be mutable, and provides access to the full graph of operands as the original operation, violating the graph based const model we were shooting for.

### The OpPointer and ConstOpPointer Classes ¶

The “typed operation” classes for registered operations (e.g. like DimOp for the “memref.dim” operation in memref ops) contain a pointer to an operation and provide typed APIs for processing it.

However, this is a problem for our current const design - const DimOp means the pointer itself is immutable, not the pointee. The previous solution for this was the OpPointer<> and ConstOpPointer<> classes, which existed solely to provide const correctness when referring to a typed operation. Instead of referring to DimOp directly, we used OpPointer<DimOp> and ConstOpPointer<DimOp> to preserve this constness.

While auto hides many instances of these OpPointer classes, their presence leads to extremely ugly APIs. It also obscures the fact that the user does not have a direct DimOp object, creating easy pitfalls with subtly incorrect semantics:

// OpPointer encodes unnecessary and superfluous information into the API.
SmallVector<OpPointer<AffineForOp>, 8> stripmineSink(
OpPointer<AffineForOp> forOp, uint64_t factor,
ArrayRef<OpPointer<AffineForOp>> targets);
// Compared to the much cleaner and easier to read...
SmallVector<AffineForOp, 8> stripmineSink(AffineForOp forOp, uint64_t factor,
ArrayRef<AffineForOp> targets);

// OpPointer is easy to misuse.
if (auto *dimOp = inst->dyn_cast<DimOp>()) {
// This is actually undefined behavior because dyn_cast actually returns
// OpPointer<DimOp>. OpPointer<DimOp> happily implicitly converts to DimOp *
// creating undefined behavior that will execute correctly most of the time.
}


It is much better to eliminate them entirely, and just pass around DimOp directly. For example, instead of:

LogicalResult mlir::getIndexSet(MutableArrayRef<OpPointer<AffineForOp>> forOps,
FlatAffineConstraints *domain) {



It is a lot nicer to just have:

LogicalResult mlir::getIndexSet(MutableArrayRef<AffineForOp> forOps,
FlatAffineConstraints *domain) {


Particularly since all of the FooOp classes are already semantically a smart pointer to their underlying operation.

## (Accepted) Proposal: Remove const from IR objects ¶

As we can see above, there is very little benefit to our const design and significant cost, and given that the primary purpose of an IR is to represent transformations of code, const is providing very little benefit.

As such, we propose eliminating support for const references to IR objects in MLIR. This implies the following changes to the codebase:

1. All of the const-duplicated accessors would be eliminated, e.g. Operation::getParent() const would be removed. This is expected to remove approximately ~130 lines of code from just Operation.h alone.
2. Const-only predicates would be changed to be non-const, e.g. Operation::isTerminator() const would have the const removed.
3. Iterators and other types and functions that are templated to support const can have those template arguments removed.
4. Types like OpPointer and ConstOpPointer that exist solely to propagate const can be entirely removed from the codebase.
5. We can close bugs complaining about const incorrectness in the IR.