25 Commits

Author SHA1 Message Date
Mehdi Amini
785490e9db
[MLIR] Remove let constructor = from mlir/include/mlir/Transforms/Passes.td (#183950)
This makes the constructor auto-generated.
2026-03-01 13:51:23 +01:00
Billy Zhu
34a65980d7
[MLIR] Erase location of folded constants (#75415)
Follow up to the discussion from #75258, and serves as an alternate
solution for #74670.

Set the location to Unknown for deduplicated / moved / materialized
constants by OperationFolder. This makes sure that the folded constants
don't end up with an arbitrary location of one of the original ops that
became it, and that hoisted ops don't confuse the stepping order.
2023-12-21 09:54:48 -08:00
Matthias Springer
9297b9f8ee [mlir][Transforms][NFC] Improve builder/listener API of OperationFolder
The constructor of `OperationFolder` takes a listener. Therefore, the remaining API should not take any builder/rewriters. This could lead to double notifications in case a listener is attached to the builder/rewriter.

As an internal cleanup, `OperationFolder` now has an `IRRewriter` instead of a `RewriterBase::Listener`. In most cases, `OperationFolder` no longer has to notify/deal with listeners. This is done by the rewriter.

Differential Revision: https://reviews.llvm.org/D146134
2023-03-22 09:24:47 +01:00
Zhixun Tan
47bf3e3812 [mlir][dataflow] Remove Lattice::isUninitialized().
Currently, for sparse analyses, we always store a `Optional<ValueT>` in each lattice element. When it's `None`, we consider the lattice element as `uninitialized`.

However:

* Not all lattices have an `uninitialized` state. For example, `Executable` and `PredecessorState` have default values so they are always initialized.

* In dense analyses, we don't have the concept of an `uninitialized` state.

Given these inconsistencies, this patch removes `Lattice::isUninitialized()`. Individual analysis states are now default-constructed. If the default state of an analysis can be considered as "uninitialized" then this analysis should implement the following logic:

* Special join rule: `join(uninitialized, any) == any`.

* Special bail out logic: if any of the input states is uninitialized, exit the transfer function early.

Depends On D132086

Reviewed By: Mogball

Differential Revision: https://reviews.llvm.org/D132800
2022-09-08 08:46:22 -07:00
Michele Scuttari
67d0d7ac0a
[MLIR] Update pass declarations to new autogenerated files
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure.

Reviewed By: mehdi_amini, rriddle

Differential Review: https://reviews.llvm.org/D132838
2022-08-31 12:28:45 +02:00
Michele Scuttari
039b969b32
Revert "[MLIR] Update pass declarations to new autogenerated files"
This reverts commit 2be8af8f0e0780901213b6fd3013a5268ddc3359.
2022-08-30 22:21:55 +02:00
Michele Scuttari
2be8af8f0e
[MLIR] Update pass declarations to new autogenerated files
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure.

Reviewed By: mehdi_amini, rriddle

Differential Review: https://reviews.llvm.org/D132838
2022-08-30 21:56:31 +02:00
Mogball
ab701975e7 [mlir] Swap integer range inference to the new framework
Integer range inference has been swapped to the new framework. The integer value range lattices automatically updates the corresponding constant value on update.

Depends on D127173

Reviewed By: krzysz00, rriddle

Differential Revision: https://reviews.llvm.org/D128866
2022-07-07 20:28:13 -07:00
Mogball
9432fbfe13 [mlir] An implementation of sparse data-flow analysis
This patch introduces a (forward) sparse data-flow analysis implemented with the data-flow analysis framework. The analysis interacts with liveness information that can be provided by dead-code analysis to be conditional. This patch re-implements SCCP using dead-code analysis and (conditional) constant propagation analyses.

Depends on D127064

Reviewed By: rriddle, phisiart

Differential Revision: https://reviews.llvm.org/D127139
2022-07-07 10:17:04 -07:00
Vaivaswatha Nagaraj
2c384c3772 [MLIR][DataFlowAnalysis] Use a queue to maintain the worklist
Since the analysis is described to be suitable for a forward
data-flow analysis, maintaining the worklist as a queue mimics
RPO ordering of block visits, thus reaching the fixpoint earlier.

Differential Revision: https://reviews.llvm.org/D116393
2022-01-06 09:55:22 +05:30
Mehdi Amini
be0a7e9f27 Adjust "end namespace" comment in MLIR to match new agree'd coding style
See D115115 and this mailing list discussion:
https://lists.llvm.org/pipermail/llvm-dev/2021-December/154199.html

Differential Revision: https://reviews.llvm.org/D115309
2021-12-08 06:05:26 +00:00
River Riddle
d07c90e395 [mlir] Refactor the forward dataflow propagation in SCCP into a generic framework
This revision takes the forward value propagation engine in SCCP and refactors it into a more generalized forward dataflow analysis framework. This framework allows for propagating information about values across the various control flow constructs in MLIR, and removes the need for users to reinvent the traversal (often not as completely). There are a few aspects of the traversal, that were conservative for SCCP, that should be relaxed to support the needs of different value analyses. To keep this revision simple, these conservative behaviors will be left in (Note that this won't produce an incorrect result, but may produce more conservative results than necessary in certain edge cases. e.g. region entry arguments for non-region branch interface operations). The framework also only focuses on computing lattices for values, given the SCCP origins, but this is something to relax as needed in the future.

Given that this logic is already in SCCP, a majority of this commit is NFC. The more interesting parts are the interface glue that clients interact with.

Differential Revision: https://reviews.llvm.org/D100915
2021-04-26 19:39:46 -07:00
River Riddle
fe7c0d90b2 [mlir][IR] Remove the concept of OperationProperties
These properties were useful for a few things before traits had a better integration story, but don't really carry their weight well these days. Most of these properties are already checked via traits in most of the code. It is better to align the system around traits, and improve the performance/cost of traits in general.

Differential Revision: https://reviews.llvm.org/D96088
2021-02-09 12:00:15 -08:00
River Riddle
e21adfa32d [mlir] Mark LogicalResult as LLVM_NODISCARD
This makes ignoring a result explicit by the user, and helps to prevent accidental errors with dropped results. Marking LogicalResult as no discard was always the intention from the beginning, but got lost along the way.

Differential Revision: https://reviews.llvm.org/D95841
2021-02-04 15:10:10 -08:00
River Riddle
fc5cf50e89 [mlir] Remove the MutableDictionaryAttr class
This class used to serve a few useful purposes:
* Allowed containing a null DictionaryAttr
* Provided some simple mutable API around a DictionaryAttr

The first of which is no longer an issue now that there is much better caching support for attributes in general, and a cache in the context for empty dictionaries. The second results in more trouble than it's worth because it mutates the internal dictionary on every action, leading to a potentially large number of dictionary copies. NamedAttrList is a much better alternative for the second use case, and should be modified as needed to better fit it's usage as a DictionaryAttrBuilder.

Differential Revision: https://reviews.llvm.org/D93442
2020-12-17 17:18:42 -08:00
River Riddle
c24f88b4db [mlir][SCCP] Don't visit private callables unless they are used when tracking interprocedural arguments/results
This fixes a subtle bug where SCCP could incorrectly optimize a private callable while waiting for its arguments to be resolved.

Fixes PR#48457

Differential Revision: https://reviews.llvm.org/D92976
2020-12-10 12:53:27 -08:00
Christian Sigg
c4a0405902 Add Operation* OpState::operator->() to provide more convenient access to members of Operation.
Given that OpState already implicit converts to Operator*, this seems reasonable.

The alternative would be to add more functions to OpState which forward to Operation.

Reviewed By: rriddle, ftynse

Differential Revision: https://reviews.llvm.org/D92266
2020-12-02 15:46:20 +01:00
Kazuaki Ishizaki
41b09f4eff [mlir] NFC: fix trivial typos
fix typos in comments and documents

Reviewed By: jpienaar

Differential Revision: https://reviews.llvm.org/D90089
2020-10-29 04:05:22 +09:00
River Riddle
a5ea60456c [mlir] Update SCCP and the Inliner to use SymbolTableCollection for symbol lookups
This transforms the symbol lookups to O(1) from O(NM), greatly speeding up both passes. For a large MLIR module this shaved seconds off of the compilation time.

Differential Revision: https://reviews.llvm.org/D89522
2020-10-16 12:08:48 -07:00
Rahul Joshi
e2b716105b [MLIR] Add argument related API to Region
- Arguments of the first block of a region are considered region arguments.
- Add API on Region class to deal with these arguments directly instead of
  using the front() block.
- Changed several instances of existing code that can use this API
- Fixes https://bugs.llvm.org/show_bug.cgi?id=46535

Differential Revision: https://reviews.llvm.org/D83599
2020-07-14 09:28:29 -07:00
Stephen Neuendorffer
eb623ae832 [MLIR] Continue renaming of "SideEffects"
MLIRSideEffects -> MLIRSideEffectInterfaces
SideEffects.h -> SideEffectInterfaces.h
SideEffects.cpp -> SideEffectInterface.cpp

Note that I haven't renamed TableGen/SideEffects.h or TableGen/SideEffects.cpp

find -name "*.h" -exec sed -i "s/SideEffects.h/SideEffectInterfaces.h/" "{}" \;
find -name "CMakeLists.txt" -exec sed -i "s/MLIRSideEffects/MLIRSideEffectInterfaces/" "{}" \;

Differential Revision: https://reviews.llvm.org/D79890
2020-05-15 14:37:09 -07:00
Jacques Pienaar
5439582781 Rename NamedAttributeList to MutableDictionaryAttr
Makes the relationship and function clearer. Accordingly rename getAttrList to getMutableAttrDict.

Differential Revision: https://reviews.llvm.org/D79125
2020-04-29 14:58:02 -07:00
River Riddle
a90151d67e [mlir][SCCP] Add support for propagating across symbol based calls
This revision adds support for propagating constants across symbol-based callgraph edges. It uses the existing Call/CallableOpInterfaces to detect the dataflow edges, and propagates constants through arguments and out of returns.

Differential Revision: https://reviews.llvm.org/D78592
2020-04-27 13:04:49 -07:00
River Riddle
2eda87dfbe [mlir][SCCP] Add support for propagating constants across inter-region control flow.
This is possible by adding two new ControlFlowInterface additions:

- A new interface, RegionBranchOpInterface
This interface allows for region holding operations to describe how control flows between regions. This interface initially contains two methods:

* getSuccessorEntryOperands
Returns the operands of this operation used as the entry arguments when entering the region at `index`, which was specified as a successor by `getSuccessorRegions`. when entering. These operands should correspond 1-1 with the successor inputs specified in `getSuccessorRegions`, and may be a subset of the entry arguments for that region.

*  getSuccessorRegions
Returns the viable successors of a region, or the possible successor when branching from the parent op. This allows for describing which regions may be executed when entering an operation, and which regions are executed after having executed another region of the parent op. For example, a structured loop operation may always enter into the loop body region. The loop body region may branch back to itself, or exit to the operation.

- A trait, ReturnLike
This trait signals that a terminator exits a region and forwards all of its operands as "exiting" values.

These additions allow for performing more general dataflow analysis in the presence of region holding operations.

Differential Revision: https://reviews.llvm.org/D78447
2020-04-21 02:59:25 -07:00
River Riddle
152d29cc74 [mlir][Transforms] Add pass to perform sparse conditional constant propagation
This revision adds the initial pass for performing SCCP generically in MLIR. SCCP is an algorithm for propagating constants across control flow, and optimistically assumes all values to be constant unless proven otherwise. It currently supports branching control, with support for regions and inter-procedural propagation being added in followups.

Differential Revision: https://reviews.llvm.org/D78397
2020-04-21 02:59:25 -07:00