97 Commits

Author SHA1 Message Date
River Riddle
77eee5795e [mlir] Refactor DialectRegistry delayed interface support into a general DialectExtension mechanism
The current dialect registry allows for attaching delayed interfaces, that are added to attrs/dialects/ops/etc.
when the owning dialect gets loaded. This is clunky for quite a few reasons, e.g. each interface type has a
separate tracking structure, and is also quite limiting. This commit refactors this delayed mutation of
dialect constructs into a more general DialectExtension mechanism. This mechanism is essentially a registration
callback that is invoked when a set of dialects have been loaded. This allows for attaching interfaces directly
on the loaded constructs, and also allows for loading new dependent dialects. The latter of which is
extremely useful as it will now enable dependent dialects to only apply in the contexts in which they
are necessary. For example, a dialect dependency can now be conditional on if a user actually needs the
interface that relies on it.

Differential Revision: https://reviews.llvm.org/D120367
2022-03-16 22:15:25 -07:00
River Riddle
3655069234 [mlir] Move the Builtin FuncOp to the Func dialect
This commit moves FuncOp out of the builtin dialect, and into the Func
dialect. This move has been planned in some capacity from the moment
we made FuncOp an operation (years ago). This commit handles the
functional aspects of the move, but various aspects are left untouched
to ease migration: func::FuncOp is re-exported into mlir to reduce
the actual API churn, the assembly format still accepts the unqualified
`func`. These temporary measures will remain for a little while to
simplify migration before being removed.

Differential Revision: https://reviews.llvm.org/D121266
2022-03-16 17:07:03 -07:00
Matthias Springer
1e1eeae840 [mlir][bufferize] Allow non-equivalent yields from scf.for loops
This removes a restriction wrt. scf.for loops during One-Shot Bufferization. Such IR was previously rejected. It is still rejected by default because the bufferized IR could be slow. But such IR can now be bufferized with `allow-return-allocs`.

Differential Revision: https://reviews.llvm.org/D121529
2022-03-16 23:22:06 +09:00
Matthias Springer
39ec46bd83 [mlir][bufferize] Extract buffer hoisting into separate function
This improves the modularity of the bufferization.

From now on, all ops that do not implement BufferizableOpInterface are considered hoisting barriers. Previously, all ops that do not implement the interface were not considered barriers and such ops had to be marked as barriers explicitly. This was unsafe because we could've hoisted across unknown ops where it was not safe to hoist.

As a side effect, this allows for cleaning up AffineBufferizableOpInterfaceImpl. This build unit no longer needed and can be deleted.

Differential Revision: https://reviews.llvm.org/D121519
2022-03-15 21:25:03 +09:00
Matthias Springer
9597b16aa9 [mlir][bufferize][NFC] Split BufferizationState into AnalysisState/BufferizationState
Differential Revision: https://reviews.llvm.org/D121361
2022-03-15 17:35:47 +09:00
River Riddle
1f971e23f0 [mlir] Trim a huge number of unnecessary dependencies on the Func dialect
The Func has a large number of legacy dependencies carried over from the old
Standard dialect, which was pervasive and contained a large number of varied
operations. With the split of the standard dialect and its demise, a lot of lingering
dead dependencies have survived to the Func dialect. This commit removes a
large majority of then, greatly reducing the dependence surface area of the
Func dialect.
2022-03-01 12:10:04 -08:00
River Riddle
23aa5a7446 [mlir] Rename the Standard dialect to the Func dialect
The last remaining operations in the standard dialect all revolve around
FuncOp/function related constructs. This patch simply handles the initial
renaming (which by itself is already huge), but there are a large number
of cleanups unlocked/necessary afterwards:

* Removing a bunch of unnecessary dependencies on Func
* Cleaning up the From/ToStandard conversion passes
* Preparing for the move of FuncOp to the Func dialect

See the discussion at https://discourse.llvm.org/t/standard-dialect-the-final-chapter/6061

Differential Revision: https://reviews.llvm.org/D120624
2022-03-01 12:10:04 -08:00
Matthias Springer
4ec00fb3ea [mlir][bufferize] Add a way for ops to fail the analysis
Add `BufferizableOpInterface::verifyAnalysis`. Ops can implement this method to check for expected invariants and limitations.

The purpose of this change is to introduce a modular way of checking assertions such as `assertScfForAliasingProperties`.

Differential Revision: https://reviews.llvm.org/D120189
2022-02-20 05:51:18 +09:00
Tres Popp
b4e0507ce0 Rename PatternRewriteSet::insert to add
insert is soft deprecated, so remove all references so it's less likely
to be used and can be easily removed in the future.

Differential Revision: https://reviews.llvm.org/D120021
2022-02-18 12:18:41 +01:00
Thomas Raoux
0736bbd7e2 [mlir][scf] Add callback to annotate ops during pipelining
This allow user to register a callback that can annotate operations
during software pipelining. This allows user potential annotate op to
know what part of the pipeline they correspond to.

Differential Revision: https://reviews.llvm.org/D119866
2022-02-15 12:48:01 -08:00
Matthias Springer
585a8a321c [mlir][bufferize] OpOperands can have multiple aliasing OpResults
This makes getAliasingOpResult symmetric to getAliasingOpOperand. The previous implementation was confusing for users and implemented in such a way only because there are currently no bufferizable ops that have multiple aliasing OpResults.

Differential Revision: https://reviews.llvm.org/D119259
2022-02-09 20:58:45 +09:00
Matthias Springer
cdb7675c26 [mlir][bufferize][NFC] Make PostAnalysisSteps a function
They used to be classes with a virtual `run` function. This was inconvenient because post analysis steps are stored in BufferizationOptions. Because of this design choice, BufferizationOptions were not copyable.

Differential Revision: https://reviews.llvm.org/D119258
2022-02-09 18:56:06 +09:00
Thomas Raoux
c3c1c5c695 [mlir][scf] Fix bug in pipelining prologue emission
Induction variable calculation was ignoring scf.for step value. Fix it to get
the correct induction variable value in the prologue.

Differential Revision: https://reviews.llvm.org/D118932
2022-02-03 13:12:50 -08:00
Mehdi Amini
bb6119eb77 Apply clang-tidy fixes for performance-for-range-copy in SCFInterfaceImpl.cpp (NFC) 2022-01-30 19:49:22 +00:00
Matthias Springer
19efe141f7 [mlir][bufferize][NFC] Move scf BufferizableOpInterface impl to scf dialect
Differential Revision: https://reviews.llvm.org/D118557
2022-01-30 21:53:33 +09:00
Adrian Kuegel
f40475c7fd [mlir] Move SCF utils implementations to SCF/Utils.
BEGIN_PUBLIC
[mlir] Move SCF utils implementations to SCF/Utils.
END_PUBLIC
2022-01-28 11:54:27 +01:00
River Riddle
633f5badbf [mlir] Add more missing dependencies after D118062
These used to be covered transitively, but now need to be explicit.
2022-01-24 22:12:03 -08:00
River Riddle
a70aa7bb0d [mlir:Transforms] Move out the remaining non-dialect independent transforms and utilities
This has been a major TODO for a very long time, and is necessary for establishing a proper
dialect-free dependency layering for the Transforms library. Code was moved to effectively
two main locations:

* Affine/
There was quite a bit of affine dialect related code in Transforms/ do to historical reasons
(of a time way into MLIR's past). The following headers were moved to:
Transforms/LoopFusionUtils.h -> Dialect/Affine/LoopFusionUtils.h
Transforms/LoopUtils.h -> Dialect/Affine/LoopUtils.h
Transforms/Utils.h -> Dialect/Affine/Utils.h

The following transforms were also moved:
AffineLoopFusion, AffinePipelineDataTransfer, LoopCoalescing

* SCF/
Only one SCF pass was in Transforms/ (likely accidentally placed here): ParallelLoopCollapsing
The SCF specific utilities in LoopUtils have been moved to SCF/Utils.h

* Misc:
mlir::moveLoopInvariantCode was also moved to LoopLikeInterface.h given
that it is a simple utility defined in terms of LoopLikeOpInterface.

Differential Revision: https://reviews.llvm.org/D117848
2022-01-24 19:25:53 -08:00
River Riddle
e084679f96 [mlir] Make locations required when adding/creating block arguments
BlockArguments gained the ability to have locations attached a while ago, but they
have always been optional. This goes against the core tenant of MLIR where location
information is a requirement, so this commit updates the API to require locations.

Fixes #53279

Differential Revision: https://reviews.llvm.org/D117633
2022-01-19 17:35:35 -08:00
River Riddle
4157455425 [mlir][Pass] Deprecate FunctionPass in favor of OperationPass<FuncOp>
The only benefit of FunctionPass is that it filters out function
declarations. This isn't enough to justify carrying it around, as we can
simplify filter out declarations when necessary within the pass. We can
also explore with better scheduling primitives to filter out declarations
at the pipeline level in the future.

The definition of FunctionPass is left intact for now to allow time for downstream
users to migrate.

Differential Revision: https://reviews.llvm.org/D117182
2022-01-18 19:52:44 -08:00
River Riddle
755dc07d69 [mlir:Analysis] Move the LoopAnalysis library to Dialect/Affine/Analysis
The current state of the top level Analysis/ directory is that it contains two libraries;
a generic Analysis library (free from dialect dependencies), and a LoopAnalysis library
that contains various analysis utilities that originated from Affine loop transformations.
This commit moves the LoopAnalysis to the more appropriate home of `Dialect/Affine/Analysis/`,
given the use and intention of the majority of the code within it. After the move, if there
are generic utilities that would fit better in the top-level Analysis/ directory, we can move
them.

Differential Revision: https://reviews.llvm.org/D117351
2022-01-18 10:28:22 -08:00
Nicolas Vasilache
11b67aaffb [mlir][scf] NFC - refactor the implementation of outlineIfOp
This revision refactors the implementation of outlineIfOp to expose
a finer-grain functionality `outlineSingleBlockRegion` that will be
reused in other contexts.

Differential Revision: https://reviews.llvm.org/D116591
2022-01-05 05:02:26 -05:00
Mehdi Amini
e4853be2f1 Apply clang-tidy fixes for performance-for-range-copy to MLIR (NFC) 2022-01-02 22:19:56 +00:00
Jacques Pienaar
c0342a2de8 [mlir] Switching accessors to prefixed form (NFC)
Makes eventual prefixing flag flip smaller change.
2021-12-20 08:03:43 -08:00
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
Lei Zhang
7709b23bef [mlir][scf] NFC: create dedicated files for affine utils
These functions are generic utility functions that operates on
affine ops within SCF regions. Moving them to their own files
for a better code structure, instead of mixing with loop
specialization logic.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D115245
2021-12-07 10:55:32 -05:00
Alexander Belyaev
f89bb3c012 [mlir] Move bufferization-related passes to bufferization dialect.
[RFC](https://llvm.discourse.group/t/rfc-dialect-for-bufferization-related-ops/4712)

Differential Revision: https://reviews.llvm.org/D114698
2021-11-30 09:58:47 +01:00
Alexander Belyaev
57470abc41 [mlir] Move memref.[tensor_load|buffer_cast|clone] to "bufferization" dialect.
https://llvm.discourse.group/t/rfc-dialect-for-bufferization-related-ops/4712

Differential Revision: https://reviews.llvm.org/D114552
2021-11-25 11:50:39 +01:00
Alexander Belyaev
3c228573bc Revert "[mlir][SCF] Further simplify affine maps during for-loop-canonicalization"
This reverts commit ee1bf186723abb933b2c337e589c5958167f3cbe.

It breaks IREE lowering. Reverting the commit for now while we
investigate what's going on.
2021-11-25 10:54:52 +01:00
Matthias Springer
ee1bf18672 [mlir][SCF] Further simplify affine maps during for-loop-canonicalization
* Implement `FlatAffineConstraints::getConstantBound(EQ)`.
* Inject a simpler constraint for loops that have at most 1 iteration.
* Taking into account constant EQ bounds of FlatAffineConstraint dims/symbols during canonicalization of the resulting affine map in `canonicalizeMinMaxOp`.

Differential Revision: https://reviews.llvm.org/D114138
2021-11-25 12:44:19 +09:00
Matthias Springer
8a8c655fe7 [mlir][SCF] Fix off-by-one bug in affine analysis
This change is NFC. There were two issues when passing/reading upper bounds into/from FlatAffineConstraints that negate each other, so the bug was not apparent. However, it made debugging harder because some constraints in the FlatAffineConstraints were off by one when dumping all constraints.

Differential Revision: https://reviews.llvm.org/D114137
2021-11-25 12:37:02 +09:00
Mogball
a54f4eae0e [MLIR] Replace std ops with arith dialect ops
Precursor: https://reviews.llvm.org/D110200

Removed redundant ops from the standard dialect that were moved to the
`arith` or `math` dialects.

Renamed all instances of operations in the codebase and in tests.

Reviewed By: rriddle, jpienaar

Differential Revision: https://reviews.llvm.org/D110797
2021-10-13 03:07:03 +00:00
River Riddle
b54c724be0 [mlir:OpConversionPattern] Add overloads for taking an Adaptor instead of ArrayRef
This has been a TODO for a long time, and it brings about many advantages (namely nice accessors, and less fragile code). The existing overloads that accept ArrayRef are now treated as deprecated and will be removed in a followup (after a small grace period). Most of the upstream MLIR usages have been fixed by this commit, the rest will be handled in a followup.

Differential Revision: https://reviews.llvm.org/D110293
2021-09-24 17:51:41 +00:00
Morten Borup Petersen
032cb1650f [MLIR][SCF] Add for-to-while loop transformation pass
This pass transforms SCF.ForOp operations to SCF.WhileOp. The For loop condition is placed in the 'before' region of the while operation, and indctuion variable incrementation + the loop body in the 'after' region. The loop carried values of the while op are the induction variable (IV) of the for-loop + any iter_args specified for the for-loop.
Any 'yield' ops in the for-loop are rewritten to additionally yield the (incremented) induction variable.

This transformation is useful for passes where we want to consider structured control flow solely on the basis of a loop body and the computation of a loop condition. As an example, when doing high-level synthesis in CIRCT, the incrementation of an IV in a for-loop is "just another part" of a circuit datapath, and what we really care about is the distinction between our datapath and our control logic (the condition variable).

Differential Revision: https://reviews.llvm.org/D108454
2021-09-21 09:09:54 +01:00
Mehdi Amini
5edd79fc97 Revert "[MLIR][SCF] Add for-to-while loop transformation pass"
This reverts commit 644b55d57ec76a18916d30f921781b99795f6e10.

The added test is failing the bots.
2021-09-20 17:21:59 +00:00
Morten Borup Petersen
644b55d57e [MLIR][SCF] Add for-to-while loop transformation pass
This pass transforms SCF.ForOp operations to SCF.WhileOp. The For loop condition is placed in the 'before' region of the while operation, and indctuion variable incrementation + the loop body in the 'after' region. The loop carried values of the while op are the induction variable (IV) of the for-loop + any iter_args specified for the for-loop.
Any 'yield' ops in the for-loop are rewritten to additionally yield the (incremented) induction variable.

This transformation is useful for passes where we want to consider structured control flow solely on the basis of a loop body and the computation of a loop condition. As an example, when doing high-level synthesis in CIRCT, the incrementation of an IV in a for-loop is "just another part" of a circuit datapath, and what we really care about is the distinction between our datapath and our control logic (the condition variable).

Differential Revision: https://reviews.llvm.org/D108454
2021-09-20 16:57:50 +01:00
Matthias Springer
0f3544d185 [mlir][scf] Loop peeling: Use scf.for for partial iteration
Generate an scf.for instead of an scf.if for the partial iteration. This is for consistency reasons: The peeling of linalg.tiled_loop also uses another loop for the partial iteration.

Note: Canonicalizations patterns may rewrite partial iterations to scf.if afterwards.

Differential Revision: https://reviews.llvm.org/D109568
2021-09-10 19:07:09 +09:00
Matthias Springer
c7d569b8f7 [mlir][scf] Fold dim(scf.for) to dim(iter_arg)
Fold dim ops of scf.for results to dim ops of the respective iter args if the loop is shape preserving.

Differential Revision: https://reviews.llvm.org/D109430
2021-09-09 13:47:13 +09:00
Matthias Springer
c57c4f888c [mlir][linalg] linalg.tiled_loop peeling
Differential Revision: https://reviews.llvm.org/D108270
2021-09-07 09:50:08 +09:00
Matthias Springer
4fa6c2734c [mlir][scf] Allow runtime type of iter_args to change
The limitation on iter_args introduced with D108806 is too restricting. Changes of the runtime type should be allowed.

Extends the dim op canonicalization with a simple analysis to determine when it is safe to canonicalize.

Differential Revision: https://reviews.llvm.org/D109125
2021-09-03 10:03:05 +09:00
Matthias Springer
d18ffd61d4 [mlir][SCF] Canonicalize dim(x) where x is an iter_arg
* Add `DimOfIterArgFolder`.
* Move existing cross-dialect canonicalization patterns to `LoopCanonicalization.cpp`.
* Rename `SCFAffineOpCanonicalization` pass to `SCFForLoopCanonicalization`.
* Expand documentaton of scf.for: The type of loop-carried variables may not change with iterations. (Not even the dynamic type.)

Differential Revision: https://reviews.llvm.org/D108806
2021-08-30 01:39:56 +00:00
Matthias Springer
eedc997b7d [mlir][Analysis] Add batched version of FlatAffineConstraints::addId
* Add batched version of all `addId` variants, so that multiple IDs can be added at a time.
* Rename `addId` and variants to `insertId` and `appendId`. Most external users call `appendId`. Splitting `addId` into two functions also makes it possible to provide batched version for both. (Otherwise, the overloads are ambigious when calling `addId`.)

Differential Revision: https://reviews.llvm.org/D108532
2021-08-30 00:56:44 +00:00
Matthias Springer
a9cff97f94 [mlir][SCF] Generalize AffineMinSCFCanonicalization to min/max ops
* Add support for affine.max ops to SCF loop peeling pattern.
* Add support for affine.max ops to `AffineMinSCFCanonicalizationPattern`.
* Rename `AffineMinSCFCanonicalizationPattern` to `AffineOpSCFCanonicalizationPattern`.
* Rename `AffineMinSCFCanonicalization` pass to `SCFAffineOpCanonicalization`.

Differential Revision: https://reviews.llvm.org/D108009
2021-08-25 10:40:34 +09:00
Matthias Springer
2de2dbef2a [mlir][linalg] Replace AffineMinSCFCanonicalizationPattern with SCF reimplementation
Use the new canonicalization pattern in the SCF dialect.

Differential Revision: https://reviews.llvm.org/D107732
2021-08-25 08:52:56 +09:00
Matthias Springer
98aa694d0d [mlir][scf] Add general affine.min canonicalization pattern
This canonicalization simplifies affine.min operations inside "for loop"-like operations (e.g., scf.for and scf.parallel) based on two invariants:
* iv >= lb
* iv < lb + step * ((ub - lb - 1) floorDiv step) + 1

This commit adds a new pass `canonicalize-scf-affine-min` (instead of being a canonicalization pattern) to avoid dependencies between the Affine dialect and the SCF dialect.

Differential Revision: https://reviews.llvm.org/D107731
2021-08-25 07:32:30 +09:00
Matthias Springer
0c36082963 [mlir][SCF] Use symbols in loop peeling rewrite
Use symbols in the affine map instead of dims. Dims should not be divided.

Differential Revision: https://reviews.llvm.org/D108431
2021-08-24 19:39:19 +09:00
Matthias Springer
bc194a5bb5 [mlir][SCF] Do not peel loops inside partial iterations
Do not apply loop peeling to loops that are contained in the partial iteration of an already peeled loop. This is to avoid code explosion when dealing with large loop nests. Can be controlled with a new pass option `skip-partial`.

Differential Revision: https://reviews.llvm.org/D108542
2021-08-23 21:35:46 +09:00
Matthias Springer
8e8b70aa84 [mlir][scf] Simplify affine.min ops after loop peeling
Simplify affine.min ops, enabling various other canonicalizations inside the peeled loop body.

affine.min ops such as:
```
map = affine_map<(d0)[s0, s1] -> (s0, -d0 + s1)>
%r = affine.min #affine.min #map(%iv)[%step, %ub]
```
are rewritten them into (in the case the peeled loop):
```
%r = %step
```

To determine how an affine.min op should be rewritten and to prove its correctness, FlatAffineConstraints is utilized.

Differential Revision: https://reviews.llvm.org/D107222
2021-08-19 17:24:53 +09:00
tashuang.zk
2d45e332ba [MLIR][DISC] Revise ParallelLoopTilingPass with inbound_check mode
Expand ParallelLoopTilingPass with an inbound_check mode.

In default mode, the upper bound of the inner loop is from the min op; in
inbound_check mode, the upper bound of the inner loop is the step of the outer
loop and an additional inbound check will be emitted inside of the inner loop.

This was 'FIXME' in the original codes and a typical usage is for GPU backends,
thus the outer loop and inner loop can be mapped to blocks/threads in seperate.

Differential Revision: https://reviews.llvm.org/D105455
2021-08-16 14:02:53 +02:00
Tres Popp
2060155480 [mlir] NFC Replace some code snippets with equivalent method calls
Replace some code snippets With scf::ForOp methods. Additionally,
share a listener at one more point (although this pattern is still
not safe to roll back currently)

Differential Revision: https://reviews.llvm.org/D107754
2021-08-10 08:22:08 +02:00