This provides a way to create an operation without manipulating
OperationState directly. This is useful for creating unregistered ops.
Reviewed By: rriddle, mehdi_amini
Differential Revision: https://reviews.llvm.org/D120787
This fixes a bufferization issue with ops that are not supported by the buffer deallocation pass when `allow-return-allocs=0`.
Differential Revision: https://reviews.llvm.org/D122304
This patch adds omp.single according to Section 2.8.2 of OpenMP 5.0.
Also added tests for the same.
Reviewed By: peixin
Differential Revision: https://reviews.llvm.org/D122288
Co-authored-by: Kiran Kumar T P <kirankumar.tp@amd.com>
This is a convenience function for adding new divisions to the Simplex given the numerator and denominator.
This will be needed for symbolic integer lexmin support.
Reviewed By: Groverkss
Differential Revision: https://reviews.llvm.org/D122159
This also replaces the absolute link to the same document with a
relative one in the same file.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D121814
This patch
- adds assembly format for `omp.wsloop` operation
- removes the `parseClauses` clauses as it is not required anymore
This is expected to be the final patch in a series of patches for replacing
parsers for clauses with `oilist`.
Reviewed By: Mogball
Differential Revision: https://reviews.llvm.org/D121367
We already have bit hasFolder = 0 in the defination of the class Op, so no need to have another let assignment here.
Differential Revision: https://reviews.llvm.org/D122222
Make MaxSI, MaxUI, MinSI and MinUI commutative, so they will be canonicalized to have its constants appear as the second operand. And the constant folder will match more cases.
Differential Revision: https://reviews.llvm.org/D122225
This is work towards: https://github.com/llvm/llvm-project/issues/51652
This differential doesn't yet make use of the new kSparseToSparse, just introduces it. The differential that finally makes use of them is D122061, which is the final differential in the chain that fixes bug 51652.
Depends On D122054
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D122055
This is work towards: https://github.com/llvm/llvm-project/issues/51652
This differential sets up the options and threads them through everywhere, but doesn't actually use them yet. The differential that finally makes use of them is D122061, which is the final differential in the chain that fixes bug 51652.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D122054
Add method to tag classes/defs as deprecated. Previously deprecations
were only verbally communicated and folks didn't have an active warning
while building about impending removal. Add mechanism to tag defs as
deprecated to allow warning users.
This doesn't change any policy, it just moves deprecation warnings from
comments to something more user visible.
Differential Revision: https://reviews.llvm.org/D122164
This patch attempts to deduce when the oilist element must be printed
based on the optional arguments to it. This especially helps creating
an operation accurately because with the current implementation, the
inferred unit attributes must be manually added to print the clauses
appropriately.
Reviewed By: Mogball
Differential Revision: https://reviews.llvm.org/D121579
I am not sure about the meaning of Type in the name (was it meant be interpreted as Kind?), and given the importance and meaning of Type in the context of MLIR, its probably better to rename it. Given the comment in the source code, the suggestion in the GitHub issue and the final discussions in the review, this patch renames the OperandType to UnresolvedOperand.
Fixes https://github.com/llvm/llvm-project/issues/54446
Differential Revision: https://reviews.llvm.org/D122142
This patch adds translation from `omp.atomic.capture` to LLVM IR. Also
added tests for the same.
Depends on D121546
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D121554
This support has never really worked well, and is incredibly clunky to
use (it effectively creates two argument APIs), and clunky to generate (it isn't
clear how we should actually expose this from PDL frontends). Treating these
as just attribute arguments is much much cleaner in every aspect of the stack.
If we need to optimize lots of constant parameters, it would be better to
investigate internal representation optimizations (e.g. batch attribute creation),
that do not affect the user (we want a clean external API).
Differential Revision: https://reviews.llvm.org/D121569
This commit adds signature support to the language server,
and initially supports providing help for: operation operands and results,
and constraint/rewrite calls.
Differential Revision: https://reviews.llvm.org/D121545
This commit adds code completion support to the language server,
and initially supports providing completions for: Member access,
attributes/constraint/dialect/operation names, and pattern metadata.
Differential Revision: https://reviews.llvm.org/D121544
This commits adds a basic language server for PDLL to enable providing
language features in IDEs such as VSCode. This initial commit only
adds support for tracking definitions, references, and diagnostics, but
followup commits will build upon this to provide more significant behavior.
In addition to the server, this commit also updates mlir-vscode to support
the PDLL language and invoke the server.
Differential Revision: https://reviews.llvm.org/D121541
ExpandShapeOp builder cannot infer the result type since it doesn't know
how the dimension needs to be split. Remove this builder so that it
doesn't get used accidently. Also remove one potential path using it in
generic fusion.
Differential Revision: https://reviews.llvm.org/D122019
This patch refactors the current coalesce implementation. It introduces
the `SetCoalescer`, a class in which all coalescing functionality lives.
The main advantage over the old design is the fact that the vectors of
constraints do not have to be passed around, but are implemented as
private fields of the SetCoalescer. This will become especially
important once more inequality types are introduced.
Reviewed By: arjunp
Differential Revision: https://reviews.llvm.org/D121364
This reverts commit dad80e9710.
The build is broken with some configurations (gcc-5 and gcc-8):
mlir/lib/Analysis/Presburger/PresburgerRelation.cpp:402:32: error: qualified name does not name a class before '{' token
class presburger::SetCoalescer {
This patch refactors the current coalesce implementation. It introduces
the `SetCoalescer`, a class in which all coalescing functionality lives.
The main advantage over the old design is the fact that the vectors of
constraints do not have to be passed around, but are implemented as
private fields of the SetCoalescer. This will become especially
important once more inequality types are introduced.
Reviewed By: arjunp
Differential Revision: https://reviews.llvm.org/D121364
Fold affine.load ops on global constant memrefs when indices are all
constant.
Reviewed By: ayzhuang
Differential Revision: https://reviews.llvm.org/D120612
When the sparse_tensor dialect lowers linalg.generic,
it makes inferences about how the operations should
affect the looping logic. For example, multiplication
is an intersection while addition is a union of two
sparse tensors.
The new binary and unary op separate the looping logic
from the computation by nesting the computation code
inside a block which is merged at the appropriate level
in the lowered looping code.
The binary op can have custom computation code for the
overlap, left, and right sparse overlap regions. The
unary op can have custom computation code for the
present and absent values.
Reviewed by: aartbik
Differential Revision: https://reviews.llvm.org/D121018
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
This PR exposes the region-based isTopLevelValue,
which is useful for other code that performs Affine transformations,
but is not within AffineOps.cpp
Reviewed By: bondhugula
Differential Revision: https://reviews.llvm.org/D121877
The getAffineScope function is currently internal
to AffineOps.cpp. However, as the comment on the function
itself notes, this is useful in a variety of other places
externally. This PR allows other files to use the function.
Reviewed By: bondhugula
Differential Revision: https://reviews.llvm.org/D121827
This removes any potential confusion with the `getType` accessors
which correspond to SSA results of an operation, and makes it
clear what the intent is (i.e. to represent the type of the function).
Differential Revision: https://reviews.llvm.org/D121762
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
Add basic C API for the ControlFlow dialect. Follows the format of the other dialects.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D121867
The current decision of when to run the verifier is running on the
assumption that nested passes can't affect the validity of the parent
operation, which isn't true. Parent operations may attach any number
of constraints on nested operations, which may not necessarily be
captured (or shouldn't be captured) at a smaller granularity.
This commit rectifies this by properly running the verifier after an
OpToOpAdaptor pass. To avoid an explosive increase in compile time,
we only run verification on the parent operation itself. To do this, a
flag to mlir::verify is added to avoid recursive verification if it isn't
desired.
Fixes#54288
Differential Revision: https://reviews.llvm.org/D121836
dense<...> expects ... to be a tensor-literal.
Define this in the grammar in BuiltinAttributes.td,
and reflect this in the reference grammar written in
AttributeParser.cpp.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D121048
New buffer allocations can now be returned/yielded from blocks with `allow-return-allocs`. One-Shot Bufferize deallocates all buffers at the end of the block. If this is not possible (because the buffer escapes the block), this is now done by the existing BufferDeallocation pass.
Differential Revision: https://reviews.llvm.org/D121527
* Implement RegionBranchOpInterface: The op has a region, but it is conceptually not entered. The region just describes the semantics of the (monolithic) op.
* Linalg structured ops do not allocate memory.
Differential Revision: https://reviews.llvm.org/D121798
Such IR is rejected by default, but can be allowed with `allow-return-memref`. In preparation of future refactorings, do not deallocate such buffers.
One-Shot Analysis now gathers information about yielded tensors, so that we know during the actual bufferization whether a newly allocated buffer should be deallocated again. (Otherwise, it will leak. This will be addressed in a subsequent commit that also makes `allow-return-memref` a non-experimental flag.)
As a cleanup, `allow-return-memref` is now part of OneShotBufferizationOptions. (It was previously ignored by AlwaysCopyBufferizationState.) Moreover, AlwaysCopyBufferizationState now asserts that `create-deallocs` is deactivated to prevent surprising behavior.
Differential Revision: https://reviews.llvm.org/D121521
Defining our own function operation allows for the PDL interpreter
to be more self contained, and also removes any dependency on FuncOp;
which is moving out of the Builtin dialect.
Differential Revision: https://reviews.llvm.org/D121253
When using `--convert-func-to-llvm=emit-c-wrappers` the attribute arguments of the wrapper would not be created correctly in some cases.
This patch fixes that and introduces a set of tests for (hopefully) all corner cases.
See https://github.com/llvm/llvm-project/issues/53503
Author: Sam Carroll <sam.carroll@lmns.com>
Co-Author: Laszlo Kindrat <laszlo.kindrat@lmns.com>
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D119895
Patch adds a new operation for the SIMD construct. The op is designed to be very similar to the existing `wsloop` operation, so that the `CanonicalLoopInfo` of `OpenMPIRBuilder` can be used.
Reviewed By: shraiysh
Differential Revision: https://reviews.llvm.org/D118065
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
There is currently an awkwardly complex set of rules for how a
parser/printer is generated for AttrDef/TypeDef. It can change depending on if a
mnemonic was specified, if there are parameters, if using the assemblyFormat, if
individual parser/printer code blocks were specified, etc. This commit refactors
this to make what the attribute/type wants more explicit, and to better align
with how formats are specified for operations.
Firstly, the parser/printer code blocks are removed in favor of a
`hasCustomAssemblyFormat` bit field. This aligns with the operation format
specification (and is nice to remove code blocks from ODS).
This commit also adds a requirement to explicitly set `assemblyFormat` or
`hasCustomAssemblyFormat` when the mnemonic is set and the attr/type
has no parameters. This removes the weird implicit matrix of behavior,
and also encourages the author to make a conscious choice of either C++
or declarative format instead of implicitly opting them into the C++
format (we should be pushing towards declarative when possible).
Differential Revision: https://reviews.llvm.org/D121505
OpBase.td has formed into a huge monolith of all ODS constructs. This
commits starts to rectify that by splitting out some constructs to their
own .td files.
Differential Revision: https://reviews.llvm.org/D118636
Implement the vectorLoopUnroll interface for MultiDimReduceOp and add a
pattern to do the unrolling following the same interface other vector
unroll patterns.
Differential Revision: https://reviews.llvm.org/D121263
The revision removes the linalg.fill operation and renames the OpDSL generated linalg.fill_tensor operation to replace it. After the change, all named structured operations are defined via OpDSL and there are no handwritten operations left.
A side-effect of the change is that the pretty printed form changes from:
```
%1 = linalg.fill(%cst, %0) : f32, tensor<?x?xf32> -> tensor<?x?xf32>
```
changes to
```
%1 = linalg.fill ins(%cst : f32) outs(%0 : tensor<?x?xf32>) -> tensor<?x?xf32>
```
Additionally, the builder signature now takes input and output value ranges as it is the case for all other OpDSL operations:
```
rewriter.create<linalg::FillOp>(loc, val, output)
```
changes to
```
rewriter.create<linalg::FillOp>(loc, ValueRange{val}, ValueRange{output})
```
All other changes remain minimal. In particular, the canonicalization patterns are the same and the `value()`, `output()`, and `result()` methods are now implemented by the FillOpInterface.
Depends On D120726
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D120728
This patch adds supports for union of relations (PresburgerRelation). Along
with this, support for PresburgerSet is also maintained.
This patch is part of a series of patches to add support for relations in
Presburger library.
Reviewed By: arjunp
Differential Revision: https://reviews.llvm.org/D121417
mlir-translate and related tools currently have a fixed set
of flags that are built into Translation.cpp. This works for
simple cases, but some clients want to change the default
globally (e.g. default to allowing unregistered dialects
without a command line flag), or support dialect-independent
translations without having those translations register every
conceivable dialect they could be used with (breaking
modularity).
This approach could also be applied to mlirOptMain to reduce
the significant number of flags it has accumulated.
Differential Revision: https://reviews.llvm.org/D120970
* It doesn't required by OpenCL/Intel Level Zero and can be set programmatically.
* Add GPU to spirv lowering in case when attribute is not present.
* Set higher benefit to WorkGroupSizeConversion pattern so it will always try to lower first from the attribute.
Differential Revision: https://reviews.llvm.org/D120399
In this CL, update the function name of verifier according to the
behavior. If a verifier needs to access the region then it'll be updated
to `verifyRegions`.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D120373
This patch removes an old recursive implementation to lower vector.transpose to extract/insert operations
and replaces it with a iterative approach that leverages newer linearization/delinearization utilities.
The patch should be NFC except by the order in which the extract/insert ops are generated.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D121321
Add operations abs, ceil, floor, and neg to the C++ API and Python API.
Add test cases.
Reviewed By: gysit
Differential Revision: https://reviews.llvm.org/D121339
This patch remove `spaceKind` from PresburgerSpace, making PresburgerSpace only
a space supporting relations.
Sets are still implemented in the same way, i.e. with a zero domain but instead
the asserts to check if the space is still set are added to users of
PresburgerSpace which treat it as a Set space.
Reviewed By: arjunp
Differential Revision: https://reviews.llvm.org/D121357
The enableObjectCache option was added in
https://reviews.llvm.org/rG06e8101034e, defaulting to false. However,
the init code added there got its logic reversed
(cache(enableObjectCache ? nullptr : new SimpleObjectCache()), which was
fixed in https://reviews.llvm.org/rGd1186fcb04 by setting the default to
true, thereby preserving the existing behavior even if it was
unintentional.
Default now the object cache to false as it was originally intended.
While at it, mention in enableObjectCache's documentation how the
cache can be dumped.
Reviewed-by: mehdi_amini
Differential Revision: https://reviews.llvm.org/D121291
This patch adds lowering from omp.atomic.update to LLVM IR. Whenever a
special LLVM IR instruction is available for the operation, `atomicrmw`
instruction is emitted, otherwise a compare-exchange loop based update
is emitted.
Depends on D119522
Reviewed By: ftynse, peixin
Differential Revision: https://reviews.llvm.org/D119657
This patch moves PresburgerSpace::removeIdRange(idStart, idLimit) to
PresburgerSpace::removeIdRange(kind, idStart, idLimit), i.e. identifiers
can only be removed at once for a single kind.
This makes users of PresburgerSpace to not assume any inside ordering of
identifier kinds.
Reviewed By: arjunp
Differential Revision: https://reviews.llvm.org/D121079
NFC. Clean up memref utils library. This library had a single function
that was completely misplaced. MemRefUtils is expected to be (also per
its comment) a library providing analysis/transforms utilities on memref
dialect ops or memref types. However, in reality it had a helper that
was depended upon by the MemRef dialect, i.e., it was a helper for the
dialect ops library and couldn't contain anything that itself depends on
the MemRef dialect. Move the single method to the memref dialect that
will now allow actual utilities depending on the memref dialect to be
placed in it.
Put findDealloc in the `memref` namespace. This is a pure move.
Differential Revision: https://reviews.llvm.org/D121273
ValueShapeRange::getShape() returns ShapeAdaptor rather than ShapedType
and ShapeAdaptor allows implicit conversion to bool. It ends up that
ShapedTypeComponents can be constructed with ShapeAdaptor incorrectly.
The reason is that the type trait
std::is_constructible<ShapeStorageT, Arg>::value
is fulfilled because ShapeAdaptor can be converted to bool and it can be
used to construct ShapeStorageT. In the end, we won't give any warning
or error message when doing things like
inferredReturnShapes.emplace_back(valueShapeRange.getShape(0));
Reviewed By: jpienaar
Differential Revision: https://reviews.llvm.org/D120845
This revision adds support for the linalg.index to the sparse compiler
pipeline. In essence, this adds the ability to refer to indices in
the tensor index expression, as illustrated below:
Y[i, j, k, l, m] = T[i, j, k, l, m] * i * j
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D121251
BuiltinOps.h
These includes are going to be removed from BuiltinOps.h in a followup
when FuncOp is moved out of the Builtin dialect. This commit
pre-emptively adds those includes to simplify the patch moving FuncOp.
It's fine to use any integer (vector) values regardless of the
signedness. The opcode decides how to interpret the bits.
Reviewed By: hanchung
Differential Revision: https://reviews.llvm.org/D121238
This pass doesn't rely on any specific characteristics of FuncOp, and
can just be a generic operation pass.
Differential Revision: https://reviews.llvm.org/D121193
It is currently a module pass, but shouldn't be. All of the patterns
are local conversions, and don't require anything about
functions/modules.
Differential Revision: https://reviews.llvm.org/D121192
These passes generally don't rely on any special aspects of FuncOp, and moving allows
for these passes to be used in many more situations. The passes that obviously weren't
relying on invariants guaranteed by a "function" were updated to be generic pass, the
rest were updated to be FunctionOpinterface InterfacePasses.
The test updates are NFC switching from implicit nesting (-pass -pass2) form to
the -pass-pipeline form (generic passes do not implicitly nest as op-specific passes do).
Differential Revision: https://reviews.llvm.org/D121190
FuncOp isn't really important to hardcode here, it is only used to act
as a root operation for the transformation.
Differential Revision: https://reviews.llvm.org/D121195
A lot of test passes are currently anchored on FuncOp, but this
dependency
is generally just historical. A majority of these test passes can run on
any operation, or can operate on a specific interface
(FunctionOpInterface/SymbolOpInterface).
This allows for greatly reducing the API dependency on FuncOp, which
is slated to be moved out of the Builtin dialect.
Differential Revision: https://reviews.llvm.org/D121191
This is a pass that can be used by downstream consumers directly
to avoid the boilerplate to wrap around the `populate*Patterns`.
Reviewed By: ThomasRaoux
Differential Revision: https://reviews.llvm.org/D121222
A `tensor.cast` consumer can be folded with its producer. This is
beneficial only if the result of the tensor cast is more static than
the source. This patch adds a utility function to check that this is
the case, and adds a couple of canonicalizations patterns that fold an
operation with `tensor.cast` conusmers.
Reviewed By: gysit
Differential Revision: https://reviews.llvm.org/D120950
Chia-hung Duan