Commit Graph

726 Commits

Author SHA1 Message Date
Matthias Springer
e7790fbed3 [mlir] Add test-convergence option to Canonicalizer tests
This new option is set to `false` by default. It should  be set only in Canonicalizer tests to detect faulty canonicalization patterns. I.e., patterns that prevent the canonicalizer from converging. The canonicalizer should always convergence on such small unit tests that we have in `canonicalize.mlir`.

Two faulty canonicalization patterns were detected and fixed with this change.

Differential Revision: https://reviews.llvm.org/D140873
2023-01-04 12:02:21 +01:00
Uday Bondhugula
fe9d0a47d5 [MLIR] Generalize affine fusion to work on Block instead of FuncOp
The affine fusion pass can actually work on the top-level of a `Block`
and doesn't require to be called on a `FuncOp`. Remove this restriction
and generalize the pass to work on any `Block`. This allows fusion to be
performed, for example, on multiple blocks of a FuncOp or any
region-holding op like an scf.while, scf.if or even at an inner depth of
an affine.for or affine.if op. This generalization has no effect on
existing functionality. No changes to the fusion logic or its
transformational power were needed.

Update fusion pass to be a generic operation pass (instead of FuncOp
pass) and remove references and assumptions on the parent being a
FuncOp.

Reviewed By: dcaballe

Differential Revision: https://reviews.llvm.org/D139293
2022-12-14 22:56:29 +05:30
Uday Bondhugula
dc44acc965 [MLIR] Fix/check for aliases for escaping memrefs in affine fusion
Check for aliases for escaping memrefs check in affine fusion pass.  Fix
`isEscapingMemRef` to handle unknown defining ops for the memref.

Reviewed By: dcaballe

Differential Revision: https://reviews.llvm.org/D139268
2022-12-14 22:53:29 +05:30
Mahesh Ravishankar
242d5b2ba4 [mlir][Transforms] Simplify region before simplifying operation in CSE.
This covers more options for CSE. It also ensures that two operations
that have same operands but different regions to begin with, but same
regions after `simplifyRegions`, don't get both added to the list of
`knownValues`.

Fixes #59135

Differential Revision: https://reviews.llvm.org/D139490
2022-12-07 23:11:14 +00:00
Kai Sasaki
1d541bd920 [mlir][affine] Support affine.parallel in the index set analysis
Support affine.parallel in the index set analysis. It allows us to do dependence analysis containing affine.parallel in addition to affine.for and affine.if. This change only supports the constant lower/upper bound in affine.parallel. Other complicated affine map bounds will be supported in further commits.

See https://github.com/llvm/llvm-project/issues/57327

Reviewed By: bondhugula

Differential Revision: https://reviews.llvm.org/D136056
2022-12-04 20:36:48 +09:00
Hanhan Wang
0a1569a400 [mlir][NFC] Remove trailing whitespaces from *.td and *.mlir files.
This is generated by running

```
sed --in-place 's/[[:space:]]\+$//' mlir/**/*.td
sed --in-place 's/[[:space:]]\+$//' mlir/**/*.mlir
```

Reviewed By: rriddle, dcaballe

Differential Revision: https://reviews.llvm.org/D138866
2022-11-28 15:26:30 -08:00
Lorenzo Chelini
9aa505a28d Introduce tensor.pack and tensor.unpack operations
Pack and Unpack return new tensors within which the individual elements
are reshuffled according to the packing specification. This has the
consequence of modifying the canonical order in which a given operator
(i.e., Matmul) accesses the individual elements. After bufferization,
this typically translates to increased access locality and cache
behavior improvement, e.g., eliminating cache line splitting.

Co-authored-by: Mahesh Ravishankar <ravishankarm@google.com>
Co-authored-by: Han-Chung Wang <hanchung@google.com>

RFC: https://discourse.llvm.org/t/rfc-tensor-pack-and-tensor-unpack/66408/1

Reviewed By: nicolasvasilache, rengolin, hanchung

Differential Revision: https://reviews.llvm.org/D138119
2022-11-22 09:11:59 +01:00
Mahesh Ravishankar
fcaf6dd597 [mlir][Transforms] CSE of ops with a single block.
Currently CSE does not support CSE of ops with regions. This patch
extends the CSE support to ops with a single region.

Differential Revision: https://reviews.llvm.org/D134306
Depends on D137857
2022-11-16 02:55:43 +00:00
Sanjoy Das
ed39825be4 Model UB in integer division operations in the arith dialect
Before this commit `arith.{ceil}div{u|s}i` were marked `Pure` which is
incorrect because these operations invoke UB on certain inputs.

Fixes: https://github.com/llvm/llvm-project/issues/58700

Reviewed By: kuhar

Differential Revision: https://reviews.llvm.org/D137814
2022-11-11 10:42:31 -08:00
River Riddle
8c66344ee9 [mlir:PDL] Add support for DialectConversion with pattern configurations
Up until now PDL(L) has not supported dialect conversion because we had no
way of remapping values or integrating with type conversions. This commit
rectifies that by adding a new "pattern configuration" concept to PDL. This
essentially allows for attaching external configurations to patterns, which
can hook into pattern events (for now just the scope of a rewrite, but we
could also pass configs to native rewrites as well). This allows for injecting
the type converter into the conversion pattern rewriter.

Differential Revision: https://reviews.llvm.org/D133142
2022-11-08 01:57:57 -08:00
River Riddle
38c219b4a8 [mlir] Infer SubElementInterface implementations using the storage KeyTy
The KeyTy of attribute/type storage classes provide enough information for
automatically implementing the necessary sub element interface methods. This
removes the need for derived classes to do it themselves, which is both much
nicer and easier to handle certain invariants (e.g. null handling). In cases where
explicitly handling for parameter types is necessary, they can provide an implementation
of `AttrTypeSubElementHandler` to opt-in to support.

This tickles a few things alias wise, which annoyingly messes with tests that hard
code specific affine map numbers.

Differential Revision: https://reviews.llvm.org/D137374
2022-11-04 18:15:03 -07:00
rkayaith
13bd410962 [mlir][Pass] Include anchor op in -pass-pipeline
In D134622 the printed form of a pass manager is changed to include the
name of the op that the pass manager is anchored on. This updates the
`-pass-pipeline` argument format to include the anchor op as well, so
that the printed form of a pipeline can be directly passed to
`-pass-pipeline`. In most cases this requires updating
`-pass-pipeline='pipeline'` to
`-pass-pipeline='builtin.module(pipeline)'`.

This also fixes an outdated assert that prevented running a
`PassManager` anchored on `'any'`.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D134900
2022-11-03 11:36:12 -04:00
Sanjoy Das
788390c130 Make scf.for and affine.for conditionally speculatable
for (I = Start; I < End; I += 1) always terminates so mark
{scf|affine}.for as RecursivelySpeculatable when step is known to be
1.

Reviewed By: chelini

Differential Revision: https://reviews.llvm.org/D136376
2022-10-30 16:08:42 -07:00
River Riddle
c8496d292e [mlir] Refactor alias generation to support nested aliases
We currently only support one level of aliases, which isn't great
in situations where an attribute/type can have multiple duplicated
components nested within it(e.g. debuginfo metadata). This commit
refactors alias generation to support nested aliases, which requires
changing alias grouping to take into account the depth of child
aliases, to ensure that attributes/types aren't printed before the
aliases they use.

The only real user facing change here was that we no longer print
0 as an alias suffix, which would be unnecessarily expensive to keep
in the new alias generation method (and isn't that valuable of a
behavior to preserve).

Differential Revision: https://reviews.llvm.org/D136541
2022-10-23 23:59:55 -07:00
Matthias Springer
47424f22d4 [mlir][transforms] TopologicalSort: Support ops from different blocks
This change allows analyzing ops from different block, in particular when used in programs that have `cf` branches.

Differential Revision: https://reviews.llvm.org/D135644
2022-10-13 10:36:06 +09:00
Sanjoy Das
adabce4118 Correctly model undefined behavior in {tensor|memref}.dim
These operations have undefined behavior if the index is not less than the rank of the source tensor / memref, so they cannot be freely speculated like they were before this patch.  After this patch we speculate them only if we can prove that they don't have UB.

Depends on D135505.

Reviewed By: mravishankar

Differential Revision: https://reviews.llvm.org/D135748
2022-10-12 17:30:13 -07:00
Sanjoy Das
86771d0b65 Introduce a ConditionallySpeculatable op interface
This patch takes the first step towards a more principled modeling of undefined behavior in MLIR as discussed in the following discourse threads:

 1. https://discourse.llvm.org/t/semantics-modeling-undefined-behavior-and-side-effects/4812
 2. https://discourse.llvm.org/t/rfc-mark-tensor-dim-and-memref-dim-as-side-effecting/65729

This patch in particular does the following:

 1. Introduces a ConditionallySpeculatable OpInterface that dynamically determines whether an Operation can be speculated.
 2. Re-defines `NoSideEffect` to allow undefined behavior, making it necessary but not sufficient for speculation.  Also renames it to `NoMemoryEffect`.
 3. Makes LICM respect the above semantics.
 4. Changes all ops tagged with `NoSideEffect` today to additionally implement ConditionallySpeculatable and mark themselves as always speculatable.  This combined trait is named `Pure`.  This makes this change NFC.

For out of tree dialects:

 1. Replace `NoSideEffect` with `Pure` if the operation does not have any memory effects, undefined behavior or infinite loops.
 2. Replace `NoSideEffect` with `NoSideEffect` otherwise.

The next steps in this process are (I'm proposing to do these in upcoming patches):

 1. Update operations like `tensor.dim`, `memref.dim`, `scf.for`, `affine.for` to implement a correct hook for `ConditionallySpeculatable`.  I'm also happy to update ops in other dialects if the respective dialect owners would like to and can give me some pointers.
 2. Update other passes that speculate operations to consult `ConditionallySpeculatable` in addition to `NoMemoryEffect`.  I could not find any other than LICM on a quick skim, but I could have missed some.
 3. Add some documentation / FAQs detailing the differences between side effects, undefined behavior, speculatabilty.

Reviewed By: rriddle, mehdi_amini

Differential Revision: https://reviews.llvm.org/D135505
2022-10-12 10:56:12 -07:00
Uday Bondhugula
46ca4259c5 [MLIR][Affine] Fix crash in normalizeMemRefType
Fix crash in normalizeMemRefType. Correctly handle scenario and replace
assertion with a failure.

Reviewed By: dcaballe

Differential Revision: https://reviews.llvm.org/D135424
2022-10-07 16:12:29 +05:30
Nicolas Vasilache
435debea69 [mlir][test] NFC - Fix some worst offenders "capture by SSA name" tests
Many tests still depend on specific names of SSA values (!!).
This commit is a best effort cleanup that will set the stage for adding some pretty SSA result names.
2022-09-30 08:24:13 -07:00
Alex Zinenko
f3fae035c7 [mlir] use strided layout in structured codegen-related tests
All relevant operations have been switched to primarily use the strided
layout, but still support the affine map layout. Update the relevant
tests to use the strided format instead for compatibility with how ops
now print by default.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D134045
2022-09-17 08:11:28 +02:00
Alex Zinenko
2791162b01 [mlir] make memref.subview produce strided layout
Memref subview operation has been initially designed to work on memrefs with
strided layouts only and has never supported anything else. Port it to use the
recently added StridedLayoutAttr instead of extracting the strided from
implicitly from affine maps.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D133938
2022-09-16 10:56:46 +02:00
Hendrik Greving
6a2190dffc [mlir] Make division unsigned.
Uses arith.divui where it is safe to do so.
Adjusts the tests for above.

Differential Revision: https://reviews.llvm.org/D132701
2022-08-30 09:55:04 -07:00
Alex Zinenko
519847fefc [mlir] materialize strided memref layout as attribute
Introduce a new attribute to represent the strided memref layout. Strided
layouts are omnipresent in code generation flows and are the only kind of
layouts produced and supported by a half of operation in the memref dialect
(view-related, shape-related). However, they are internally represented as
affine maps that require a somewhat fragile extraction of the strides from the
linear form that also comes with an overhead. Furthermore, textual
representation of strided layouts as affine maps is difficult to read: compare
`affine_map<(d0, d1, d2)[s0, s1] -> (d0*32 + d1*s0 + s1 + d2)>` with
`strides: [32, ?, 1], offset: ?`. While a rudimentary support for parsing a
syntactically sugared version of the strided layout has existed in the codebase
for a long time, it does not go as far as this commit to make the strided
layout a first-class attribute in the IR.

This introduces the attribute and updates the tests that using the pre-existing
sugared form to use the new attribute instead. Most memref created
programmatically, e.g., in passes, still use the affine form with further
extraction of strides and will be updated separately.

Update and clean-up the memref type documentation that has gotten stale and has
been referring to the details of affine map composition that are long gone.

See https://discourse.llvm.org/t/rfc-materialize-strided-memref-layout-as-an-attribute/64211.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D132864
2022-08-30 17:19:58 +02:00
Tung D. Le
183c4a391e [MLIR][normalize-memrefs] Non-normalizable operations with identity map layouts do not block normalization of the entire function
The current approach is convervative in which whenever there is a
non-normalizable operations in a function will the function be labelled
as non-normalizable. It means it requires that all operations must have
MemRefsNormalizable trait.

This patch relaxes the requirement that if the memref map layouts of a
non-normalizable operation are identity, this operation does not block
the normalization of the other operations in the same function.

Reviewed By: bondhugula

Differential Revision: https://reviews.llvm.org/D125854
2022-08-19 08:27:45 +05:30
Jacques Pienaar
052669e71a [mlir] add missing pessimistic setting
This is updated on https://reviews.llvm.org/D127139, to mark op with region as pessimistic.

Reviewed By: jpienaar

Differential Revision: https://reviews.llvm.org/D131480
2022-08-17 16:20:13 -07:00
Matthias Springer
31fbdab376 [mlir][transforms] Add topological sort analysis
This change add a helper function for computing a topological sorting of a list of ops. E.g. this can be useful in transforms where a subset of ops should be cloned without dominance errors.

The analysis reuses the existing implementation in TopologicalSortUtils.cpp.

Differential Revision: https://reviews.llvm.org/D131669
2022-08-15 21:09:18 +02:00
Jeff Niu
58a47508f0 (Reland) [mlir] Switch segment size attributes to DenseI32ArrayAttr
This reland includes changes to the Python bindings.

Switch variadic operand and result segment size attributes to use the
dense i32 array. Dense integer arrays were introduced primarily to
represent index lists. They are a better fit for segment sizes than
dense elements attrs.

Depends on D131801

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D131803
2022-08-12 19:44:52 -04:00
Alex Zinenko
e8e718fa4b Revert "[mlir] Switch segment size attributes to DenseI32ArrayAttr"
This reverts commit 30171e76f0.

Breaks Python tests in MLIR, missing C API and Python changes.
2022-08-12 10:22:47 +02:00
Jeff Niu
30171e76f0 [mlir] Switch segment size attributes to DenseI32ArrayAttr
Switch variadic operand and result segment size attributes to use the
dense i32 array. Dense integer arrays were introduced primarily to
represent index lists. They are a better fit for segment sizes than
dense elements attrs.

Depends on D131738

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D131702
2022-08-11 20:56:45 -04:00
Jeff Niu
62fe67f9eb [mlir][DCA] Fix visiting call ops when run at function scopes
When dead-code analysis is run at the scope of a function, call ops to
other functions at the same level were being marked as unreachable,
since the analysis optimistically assumes the call op to have no known
predecessors and that all predecessors are known, but the callee would
never get visited.

This patch fixes the bug by checking if a referenced function is above
the top-level op of the analysis, and is thus considered an external
callable.

Fixes #56830

Reviewed By: zero9178

Differential Revision: https://reviews.llvm.org/D130829
2022-07-31 16:03:46 -04:00
srishti-cb
b508c5649f [MLIR] Add a utility to sort the operands of commutative ops
Added a commutativity utility pattern and a function to populate it. The pattern sorts the operands of an op in ascending order of the "key" associated with each operand iff the op is commutative. This sorting is stable.

The function is intended to be used inside passes to simplify the matching of commutative operations. After the application of the above-mentioned pattern, since the commutative operands now have a deterministic order in which they occur in an op, the matching of large DAGs becomes much simpler, i.e., requires much less number of checks to be written by a user in her/his pattern matching function.

The "key" associated with an operand is the list of the "AncestorKeys" associated with the ancestors of this operand, in a breadth-first order.

The operand of any op is produced by a set of ops and block arguments. Each of these ops and block arguments is called an "ancestor" of this operand.

Now, the "AncestorKey" associated with:
1. A block argument is `{type: BLOCK_ARGUMENT, opName: ""}`.
2. A non-constant-like op, for example, `arith.addi`, is `{type: NON_CONSTANT_OP, opName: "arith.addi"}`.
3. A constant-like op, for example, `arith.constant`, is `{type: CONSTANT_OP, opName: "arith.constant"}`.

So, if an operand, say `A`, was produced as follows:

```
`<block argument>`  `<block argument>`
             \          /
              \        /
              `arith.subi`           `arith.constant`
                         \            /
                         `arith.addi`
                                |
                           returns `A`
```

Then, the block arguments and operations present in the backward slice of `A`, in the breadth-first order are:
`arith.addi`, `arith.subi`, `arith.constant`, `<block argument>`, and `<block argument>`.

Thus, the "key" associated with operand `A` is:
```
{
 {type: NON_CONSTANT_OP, opName: "arith.addi"},
 {type: NON_CONSTANT_OP, opName: "arith.subi"},
 {type: CONSTANT_OP, opName: "arith.constant"},
 {type: BLOCK_ARGUMENT, opName: ""},
 {type: BLOCK_ARGUMENT, opName: ""}
}
```

Now, if "keyA" is the key associated with operand `A` and "keyB" is the key associated with operand `B`, then:
"keyA" < "keyB" iff:
1. In the first unequal pair of corresponding AncestorKeys, the AncestorKey in operand `A` is smaller, or,
2. Both the AncestorKeys in every pair are the same and the size of operand `A`'s "key" is smaller.

AncestorKeys of type `BLOCK_ARGUMENT` are considered the smallest, those of type `CONSTANT_OP`, the largest, and `NON_CONSTANT_OP` types come in between. Within the types `NON_CONSTANT_OP` and `CONSTANT_OP`, the smaller ones are the ones with smaller op names (lexicographically).

---

Some examples of such a sorting:

Assume that the sorting is being applied to `foo.commutative`, which is a commutative op.

Example 1:

> %1 = foo.const 0
> %2 = foo.mul <block argument>, <block argument>
> %3 = foo.commutative %1, %2

Here,
1. The key associated with %1 is:
```
    {
     {CONSTANT_OP, "foo.const"}
    }
```
2. The key associated with %2 is:
```
    {
     {NON_CONSTANT_OP, "foo.mul"},
     {BLOCK_ARGUMENT, ""},
     {BLOCK_ARGUMENT, ""}
    }
```

The key of %2 < the key of %1
Thus, the sorted `foo.commutative` is:
> %3 = foo.commutative %2, %1

Example 2:

> %1 = foo.const 0
> %2 = foo.mul <block argument>, <block argument>
> %3 = foo.mul %2, %1
> %4 = foo.add %2, %1
> %5 = foo.commutative %1, %2, %3, %4

Here,
1. The key associated with %1 is:
```
    {
     {CONSTANT_OP, "foo.const"}
    }
```
2. The key associated with %2 is:
```
    {
     {NON_CONSTANT_OP, "foo.mul"},
     {BLOCK_ARGUMENT, ""}
    }
```
3. The key associated with %3 is:
```
    {
     {NON_CONSTANT_OP, "foo.mul"},
     {NON_CONSTANT_OP, "foo.mul"},
     {CONSTANT_OP, "foo.const"},
     {BLOCK_ARGUMENT, ""},
     {BLOCK_ARGUMENT, ""}
    }
```
4. The key associated with %4 is:
```
    {
     {NON_CONSTANT_OP, "foo.add"},
     {NON_CONSTANT_OP, "foo.mul"},
     {CONSTANT_OP, "foo.const"},
     {BLOCK_ARGUMENT, ""},
     {BLOCK_ARGUMENT, ""}
    }
```

Thus, the sorted `foo.commutative` is:
> %5 = foo.commutative %4, %3, %2, %1

Signed-off-by: Srishti Srivastava <srishti.srivastava@polymagelabs.com>

Reviewed By: Mogball

Differential Revision: https://reviews.llvm.org/D124750
2022-07-30 19:25:18 -04:00
Jacques Pienaar
13bc82b587 [mlir] SCCP add missing pessimistic setting
When this was updated in D127139 the update in-place case was no longer
marked as pessimistic. Add back in.

Differential Revision: https://reviews.llvm.org/D130453
2022-07-25 17:41:17 -07:00
Ivan Butygin
917e4519bc [mlir][arith] cmpi: move constant to the right side
Convert arith.cmpi to the canonical form with constants on the right side
to simplify further optimizations and open more opportunities for CSE.


Differential Revision: https://reviews.llvm.org/D129929
2022-07-22 12:39:17 +02:00
Markus Böck
61394636f0 [mlir] Ignore effects on allocated results when checking whether the op is trivially dead.
In the current state, this is only special cased for Allocation effects, but any effects on results allocated by the operation may be ignored when checking whether the op may be removed, as none of them are possible to be observed if the result is unused.

A use case for this is for IRs for languages which always initialize on allocation. To correctly model such operations, a Write as well as an Allocation effect should be placed on the result. This would prevent the Op from being deleted if unused however. This patch fixes that issue.

Differential Revision: https://reviews.llvm.org/D129854
2022-07-19 10:58:25 +02:00
Javed Absar
c2ecf16224 [mlir][Inliner] Support recursion in Inliner
This fixes  Bug https://github.com/llvm/llvm-project/issues/53492
 and uses InlineHistory to track recursive inlining.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D127072
2022-06-30 18:52:45 +01:00
Mogball
537f220891 [mlir] Support getSuccessorInputs from parent op
Ops that implement `RegionBranchOpInterface` are allowed to indicate that they can branch back to themselves in `getSuccessorRegions`, but there is no API that allows them to specify the forwarded operands. This patch enables that by changing `getSuccessorEntryOperands` to accept `None`.

Fixes #54928

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D127239
2022-06-13 22:21:34 +00:00
Chia-hung Duan
ba3a9f51ff [mlir:MultiOpDriver] Add operands to worklist should be checked
Operand's defining op may not be valid for adding to the worklist under
stict mode

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D127180
2022-06-11 15:56:23 +00:00
Mogball
ee70039ae2 [mlir] Fix handling of some region branch terminator successors
When `RegionBranchOpInterface::getSuccessorRegions` is called for anything other than the parent op, it expects the operands of the terminator of the source region to be passed, not the operands of the parent op. This was not always respected.

This fixes a bug in integer range inference and ForwardDataFlowSolver and changes `scf.while` to allow narrowing of successors using constant inputs.

Fixes #55873

Reviewed By: mehdi_amini, krzysz00

Differential Revision: https://reviews.llvm.org/D127261
2022-06-08 17:17:03 +00:00
Matthias Springer
0ee1c0388c [mlir][bufferize] Remove hoisting functionality from One-Shot Bufferize
The same functionality is already provided by `-buffer-hoisting` and `-buffer-loop-hoisting`.

Differential Revision: https://reviews.llvm.org/D126251
2022-05-25 19:56:18 +02:00
rkayaith
7814b559bd [GreedyPatternRewriter] Avoid reversing constant order
The previous fix from af371f9f98 only applied when using a bottom-up
traversal. The change here applies the constant preprocessing logic to the
top-down case as well. This resolves the issue with the canonicalizer pass still
reordering constants, since it uses a top-down traversal by default.

Fixes #51892

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D125623
2022-05-18 00:55:59 -07:00
rkayaith
ebad5fb309 [mlir][Canonicalize] Fix command-line options
The canonicalize command-line options currently have no effect, as the pass is
reading the pass options in its constructor, before they're actually
initialized. This results in the default values of the options always being used.

The change here moves the initialization of the `GreedyRewriteConfig` out of the
constructor, so that it runs after the pass options have been parsed.

Fixes #55466

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D125621
2022-05-18 00:28:18 -07:00
Mogball
c8457eb532 [mlir][transforms] Add a topological sort utility and pass
This patch adds a topological sort utility and pass. A topological sort reorders
the operations in a block without SSA dominance such that, as much as possible,
users of values come after their producers.

The utility function sorts topologically the operation range in a given block
with an optional user-provided callback that can be used to virtually break cycles.
The toposort pass itself recursively sorts graph regions under the target op.

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D125063
2022-05-16 20:47:30 +00:00
Nicolas Vasilache
1f23211cb1 [mlir][SCF] Retire cloneWithNewYields helper function.
This is now subsumed by `replaceLoopWithNewYields`.

Differential Revision: https://reviews.llvm.org/D125309
2022-05-10 18:44:11 +00:00
Mahesh Ravishankar
567fd523bf [mlir][SCF] Add utility method to add new yield values to a loop.
The current implementation of `cloneWithNewYields` has a few issues
- It clones the loop body of the original loop to create a new
  loop. This is very expensive.
- It performs `erase` operations which are incompatible when this
  method is called from within a pattern rewrite. All erases need to
  go through `PatternRewriter`.

To address these a new utility method `replaceLoopWithNewYields` is added
which
- moves the operations from the original loop into the new loop.
- replaces all uses of the original loop with the corresponding
  results of the new loop
- use a call back to allow caller to generate the new yield values.
- the original loop is modified to just yield the basic block
  arguments corresponding to the iter_args of the loop. This
  represents a no-op loop. The loop itself is dead (since all its uses
  are replaced), but is not removed. The caller is expected to erase
  the op. Consequently, this method can be called from within a
  `matchAndRewrite` method of a `PatternRewriter`.

The `cloneWithNewYields` could be replaces with
`replaceLoopWithNewYields`, but that seems to trigger a failure during
walks, potentially due to the operations being moved. That is left as
a TODO.

Differential Revision: https://reviews.llvm.org/D125147
2022-05-10 18:44:11 +00:00
River Riddle
a8308020ac [mlir] Remove special case parsing/printing of func operations
This was leftover from when the standard dialect was destroyed, and
when FuncOp moved to the func dialect. Now that these transitions
have settled a bit we can drop these.

Most updates were handled using a simple regex: replace `^( *)func` with `$1func.func`

Differential Revision: https://reviews.llvm.org/D124146
2022-05-06 13:36:15 -07:00
Mathieu Fehr
88bc24a7e3 [mlir] Allow setting operation legality with an OperationName
This is necessary to handle conversions of operations defined at runtime in extensible dialects.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D124353
2022-04-27 08:54:51 -07:00
River Riddle
0fd3a1ce60 [mlir][NFC] Update remaining textual references of un-namespaced func operations
The special case parsing of operations in the `func` dialect is being removed, and
operations will require the dialect namespace prefix.
2022-04-20 22:17:31 -07:00
River Riddle
cda6aa78f8 [mlir][NFC] Update textual references of func to func.func in Transform tests
The special case parsing of `func` operations is being removed.
2022-04-20 22:17:30 -07:00
Uday Bondhugula
d423fc3724 Add RegionBranchOpInterface on affine.for op
Add RegionBranchOpInterface on affine.for op so that transforms relying
on RegionBranchOpInterface can support affine.for. E.g.:
buffer-deallocation pass.

Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D123568
2022-04-20 17:46:07 +05:30
Valentin Clement
bd514967aa [mlir][CSE] Add ability to remove commutative operations
This patch takes advantage of the Commutative trait on operation
to remove identical commutative operations where the operands are swapped.

The second operation below can be removed since `arith.addi` is commutative.
```
%1 = arith.addi %a, %b : i32
%2 = arith.addi %b, %a : i32
```

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D123492
2022-04-16 21:09:47 +02:00