Commit Graph

2673 Commits

Author SHA1 Message Date
Tres Popp a26883e5aa [MLIR] Add shape.witness type and ops
Summary: These represent shape based preconditions on execution of code.

Differential Revision: https://reviews.llvm.org/D79717
2020-05-15 14:33:54 +02:00
Alex Zinenko 4ead2cf76c [mlir] Rename conversions involving ex-Loop dialect to mention SCF
The following Conversions are affected: LoopToStandard -> SCFToStandard,
LoopsToGPU -> SCFToGPU, VectorToLoops -> VectorToSCF. Full file paths are
affected. Additionally, drop the 'Convert' prefix from filenames living under
lib/Conversion where applicable.

API names and CLI options for pass testing are also renamed when applicable. In
particular, LoopsToGPU contains several passes that apply to different kinds of
loops (`for` or `parallel`), for which the original names are preserved.

Differential Revision: https://reviews.llvm.org/D79940
2020-05-15 10:45:11 +02:00
Nicolas Vasilache f1b972041a [mlir][Linalg] Start a LinalgToStandard pass and move conversion to library calls.
This revision starts decoupling the include the kitchen sink behavior of Linalg to LLVM lowering by inserting a -convert-linalg-to-std pass.

The lowering of linalg ops to function calls was previously lowering to memref descriptors by having both linalg -> std and std -> LLVM patterns in the same rewrite.

When separating this step, a new issue occurred: the layout is automatically type-erased by this process. This revision therefore introduces memref casts to perform these type erasures explicitly. To connect everything end-to-end, the LLVM lowering of MemRefCastOp is relaxed because it is artificially more restricted than the op semantics. The op semantics already guarantee that source and target MemRefTypes are cast-compatible. An invalid lowering test now becomes valid and is removed.

Differential Revision: https://reviews.llvm.org/D79468
2020-05-15 00:24:03 -04:00
Eugene Zhulenev 3a11ca7bed [MLIR] Add symbol map to mlir ExecutionEngine
Add additional symbol mapping to be able to provide custom symbols to jitted code at runtime.

Differential Revision: https://reviews.llvm.org/D79812
2020-05-14 22:30:03 +02:00
Diego Caballero bc5565f9ea [mlir][Affine] Introduce affine.vector_load and affine.vector_store
This patch adds `affine.vector_load` and `affine.vector_store` ops to
the Affine dialect and lowers them to `vector.transfer_read` and
`vector.transfer_write`, respectively, in the Vector dialect.

Reviewed By: bondhugula, nicolasvasilache

Differential Revision: https://reviews.llvm.org/D79658
2020-05-14 13:17:58 -07:00
Stephan Herhut 9ffaba86e5 [mlir] Fix the example for std.rank
Summary:
The assembly format for std.rank expects the operand type and not the
result type after the colon.

Differential Revision: https://reviews.llvm.org/D79857
2020-05-14 10:45:07 +02:00
Stephen Neuendorffer ce3bbeb915 [MLIR] refactor cmake specification of tablegen'd interfaces.
Introduce add_mlir_interface to avoid lots of boilerplate

Differential Revision: https://reviews.llvm.org/D79841
2020-05-13 10:37:06 -07:00
Alex Zinenko 60f443bb3b [mlir] Change dialect namespace loop->scf
All ops of the SCF dialect now use the `scf.` prefix instead of `loop.`. This
is a part of dialect renaming.

Differential Revision: https://reviews.llvm.org/D79844
2020-05-13 19:20:21 +02:00
Pierre Oechsel a5d80818fa [mlir] [VectorOps] Add missing EDSC intrinsics.
Differential Revision: https://reviews.llvm.org/D79858
2020-05-13 10:11:30 -04:00
Nicolas Vasilache e0b99a5de4 [mlir] Add SubViewOp::getOrCreateRanges and fix folding pattern
The existing implementation of SubViewOp::getRanges relies on all
offsets/sizes/strides to be dynamic values and does not work in
combination with canonicalization. This revision adds a
SubViewOp::getOrCreateRanges to create the missing constants in the
canonicalized case.

This allows reactivating the fused pass with staged pattern
applications.

However another issue surfaces that the SubViewOp verifier is now too
strict to allow folding. The existing folding pattern is turned into a
canonicalization pattern which rewrites memref_cast + subview into
subview + memref_cast.

The transform-patterns-matmul-to-vector can then be reactivated.

Differential Revision: https://reviews.llvm.org/D79759
2020-05-13 10:11:30 -04:00
Marcel Koester 881c3bb6a7 [mlir] Adapted standard Alloc and Alloca ops to use new side-effect resources.
The current standard Alloca node is not annotated with the
MemEffect<Alloc> trait. This CL updates the Alloc and Alloca
memory-effect annotations using the latest Resource objects. Alloca
nodes will use a newly defined AutomaticAllocationScopeResource to
distinguish between Alloc and Alloca memory effects.

Differential Revision: https://reviews.llvm.org/D79620
2020-05-13 13:46:39 +02:00
MaheshRavishankar 49e6c19100 [mlir][StandardToLLVM] Add SinOp to LLVM dialect and lowering of std.sin to this op.
Differential Revision: https://reviews.llvm.org/D79505
2020-05-12 23:15:25 -07:00
MaheshRavishankar 5440d0a12d [mlir][Linalg] Add folders and canonicalizers for
linalg.reshape/linalg.tensor_reshape operations.

Differential Revision: https://reviews.llvm.org/D79765
2020-05-12 23:03:26 -07:00
MaheshRavishankar d2a9569850 [mlir][Linalg] Allow reshapes to collapse to a zero-rank tensor.
This is only valid if the source tensors (result tensor) is static
shaped with all unit-extents when the reshape is collapsing
(expanding) dimensions.

Differential Revision: https://reviews.llvm.org/D79764
2020-05-12 23:03:25 -07:00
Nicolas Vasilache 63c0e72b2f [mlir] Revisit std.subview handling of static information.
The main objective of this revision is to change the way static information is represented, propagated and canonicalized in the SubViewOp.

In the current implementation the issue is that canonicalization may strictly lose information because static offsets are combined in irrecoverable ways into the result type, in order to fit the strided memref representation.

The core semantics of the op do not change but the parser and printer do: the op always requires `rank` offsets, sizes and strides. These quantities can now be either SSA values or static integer attributes.

The result type is automatically deduced from the static information and more powerful canonicalizations (as powerful as the representation with sentinel `?` values allows). Previously static information was inferred on a best-effort basis from looking at the source and destination type.

Relevant tests are rewritten to use the idiomatic `offset: x, strides : [...]`-form. Bugs are corrected along the way that were not trivially visible in flattened strided memref form.

Lowering to LLVM is updated, simplified and now supports all cases.
A mixed static-dynamic mode test that wouldn't previously lower is added.

It is an open question, and a longer discussion, whether a better result type representation would be a nicer alternative. For now, the subview op carries the required semantic.

Differential Revision: https://reviews.llvm.org/D79662
2020-05-12 20:04:44 -04:00
Sean Silva 452e2fc409 Revert of Revert of [mlir][shape] Tidy up shape.shape_of
Summary:

- Mark it NoSideEffect
- Add custom parser/printer

This reverts the temporary revert in
https://reviews.llvm.org/rG84a9c725742d26df04808a3c7349dbd98684c6cb
That was a false alarm. A downstream test actually needed to be updated.
2020-05-12 15:51:24 -07:00
Alex Zinenko 473bdaf2e8 [mlir] Move Conversion/StandardToStandard to Dialect/StandardOps/Transforms/FuncConversions
Conversion/ folders were originally intended to store patterns for
DialectA->DialectB conversions that depend on both dialects and do not
conceptually belong to either of the dialects. As such, DialectA->DialectA
conversion does not make sense under Conversion/ and should rather live with
the dialect it operates on.

Differential Revision: https://reviews.llvm.org/D79569
2020-05-13 00:33:25 +02:00
Stephen Neuendorffer 661b234cbc [MLIR] Rename SideEffects.td -> SideEffectInterfaces.td
This normalize the name of the tablegen file with the name of the generated
files (SideEffectInterfaces.h.inc) and the other Interface tablegen files,
which all end in Interface(s).td

Differential Revision: https://reviews.llvm.org/D79517
2020-05-12 12:21:42 -07:00
Sam McCall 691e826995 Revert "[mlir] Revisit std.subview handling of static information."
This reverts commit 80d133b24f.

Per Stephan Herhut: The canonicalizer pattern that was added creates
forms of the subview op that cannot be lowered.

This is shown by failing Tensorflow XLA tests such as:
  tensorflow/compiler/xla/service/mlir_gpu/tests:abs.hlo.test
Will provide more details offline, they rely on logs from private CI.
2020-05-12 15:18:50 +02:00
Eric Christopher 84a9c72574 Temporarily Revert "[mlir][shape] Tidy up shape.shape_of" as it's breaking a few tests.
This reverts commit b604544886.

Followed up offline with a testcase.
2020-05-11 23:05:18 -07:00
Rahul Joshi 5633813bf3 [MLIR] Fix several misc issues in in Toy tutorial
Summary:
- Fix comments in several places
- Eliminate extra ' in AST dump and adjust tests accordingly

Differential Revision: https://reviews.llvm.org/D78399
2020-05-11 16:56:47 -07:00
Nicolas Vasilache 80d133b24f [mlir] Revisit std.subview handling of static information.
Summary:
The main objective of this revision is to change the way static information is represented, propagated and canonicalized in the SubViewOp.

In the current implementation the issue is that canonicalization may strictly lose information because static offsets are combined in irrecoverable ways into the result type, in order to fit the strided memref representation.

The core semantics of the op do not change but the parser and printer do: the op always requires `rank` offsets, sizes and strides. These quantities can now be either SSA values or static integer attributes.

The result type is automatically deduced from the static information and more powerful canonicalizations (as powerful as the representation with sentinel `?` values allows). Previously static information was inferred on a best-effort basis from looking at the source and destination type.

Relevant tests are rewritten to use the idiomatic `offset: x, strides : [...]`-form. Bugs are corrected along the way that were not trivially visible in flattened strided memref form.

It is an open question, and a longer discussion, whether a better result type representation would be a nicer alternative. For now, the subview op carries the required semantic.

Reviewers: ftynse, mravishankar, antiagainst, rriddle!, andydavis1, timshen, asaadaldien, stellaraccident

Reviewed By: mravishankar

Subscribers: aartbik, bondhugula, mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, arpith-jacob, mgester, lucyrfox, liufengdb, stephenneuendorffer, Joonsoo, bader, grosul1, frgossen, Kayjukh, llvm-commits

Tags: #llvm

Differential Revision: https://reviews.llvm.org/D79662
2020-05-11 17:44:24 -04:00
Reid Tatge 334a4159ec [mlir][Vector] NFC - Rename vector.strided_slice into vector.extract_strided_slice
Differential Revision: https://reviews.llvm.org/D79734
2020-05-11 14:21:10 -07:00
Nicolas Vasilache d12d05a731 [mlir][Linalg] Introduce a helper function for staged pattern application
Summary:
This revision introduces a helper function to allow applying rewrite patterns, interleaved with more global transformations, in a staged fashion:
1. the first stage consists of an OwningRewritePatternList. The RewritePattern in this list are applied once and in order.
2. the second stage consists of a single OwningRewritePattern that is applied greedily until convergence.
3. the third stage consists of applying a lambda, generally used for non-local transformation effects.

This allows creating custom fused transformations where patterns can be ordered and applied at a finer granularity than a sequence of traditional compiler passes.

A test that exercises these behaviors is added.

Differential Revision: https://reviews.llvm.org/D79518
2020-05-11 16:46:30 -04:00
Sean Silva b604544886 [mlir][shape] Tidy up shape.shape_of
Summary:
- Mark it NoSideEffect
- Add custom parser/printer

Differential Revision: https://reviews.llvm.org/D79684
2020-05-11 12:55:31 -07:00
Sean Silva 98eead8186 [mlir][Value] Add v.getDefiningOp<OpTy>()
Summary:
This makes a common pattern of
`dyn_cast_or_null<OpTy>(v.getDefiningOp())` more concise.

Differential Revision: https://reviews.llvm.org/D79681
2020-05-11 12:55:27 -07:00
Nicolas Vasilache 6ed61a26c2 [mlir] Simplify and better document std.view semantics
This [discussion](https://llvm.discourse.group/t/viewop-isnt-expressive-enough/991/2) raised some concerns with ViewOp.

In particular, the handling of offsets is incorrect and does not match the op description.
Note that with an elemental type change, offsets cannot be part of the type in general because sizeof(srcType) != sizeof(dstType).

Howerver, offset is a poorly chosen term for this purpose and is renamed to byte_shift.

Additionally, for all intended purposes, trying to support non-identity layouts for this op does not bring expressive power but rather increases code complexity.

This revision simplifies the existing semantics and implementation.
This simplification effort is voluntarily restrictive and acts as a stepping stone towards supporting richer semantics: treat the non-common cases as YAGNI for now and reevaluate based on concrete use cases once a round of simplification occurred.

Differential revision: https://reviews.llvm.org/D79541
2020-05-11 12:29:23 -04:00
Nicolas Vasilache 8dbbb22383 [mlir][Linalg] NFC - Refactor and simplify Promotion
Summary: This revision introduces LinalgPromotionOptions to more easily control the application of promotion patterns. It also simplifies the different entry points into Promotion in preparation for some behavior change in subsequent revisions.

Differential Revision: https://reviews.llvm.org/D79489
2020-05-11 10:44:45 -04:00
rtayl 58cb88733f [mlir][rocdl] Add xdlops intrinsics to rocdl dialect
Summary: This adds xdlops (mfma) to the rocdl dialect and also tests the translation to llvm ir.

Reviewers: ftynse

Subscribers: mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, nicolasvasilache, arpith-jacob, mgester, lucyrfox, liufengdb, stephenneuendorffer, Joonsoo, grosul1, frgossen, Kayjukh, llvm-commits

Tags: #llvm #mlir

Differential Revision: https://reviews.llvm.org/D79642
2020-05-11 10:08:58 -04:00
Alex Zinenko c25b20c0f6 [mlir] NFC: Rename LoopOps dialect to SCF (Structured Control Flow)
This dialect contains various structured control flow operaitons, not only
loops, reflect this in the name. Drop the Ops suffix for consistency with other
dialects.

Note that this only moves the files and changes the C++ namespace from 'loop'
to 'scf'. The visible IR prefix remains the same and will be updated
separately. The conversions will also be updated separately.

Differential Revision: https://reviews.llvm.org/D79578
2020-05-11 15:04:27 +02:00
Hanhan Wang b80da04b44 [mlir] Add FPToSIOp to Standard dialect.
Summary:
Cast from a value interpreted as floating-point to the corresponding signed
integer value. Similar to an element-wise `static_cast` in C++, performs an
element-wise conversion operation.

Differential Revision: https://reviews.llvm.org/D79373
2020-05-11 01:26:02 -07:00
Alex Zinenko c71101d9ef [mlir] Initialize the Region::container field to nullptr by default
Region has a default constructor that is called when a region is constructed
while an operation is being created, and therefore before the region can be
attached to this operation. The `container` field is uninitialized, which makes
it impossible to check programmatically if a Region is attached to an operation
or not, leading to sly memory errors when this field is read. Initialize it to
nullptr by default and thus make sure one can check if a region is attached to
an operation or not.
2020-05-10 14:23:35 +02:00
Eugene Zhulenev 3c5dd5863c [MLIR] Register JIT event listeners with RTDyldObjectLinkingLayer
Use a new API to register JIT event listeners.

Differential Revision: https://reviews.llvm.org/D78435
2020-05-09 11:17:22 +02:00
Geoffrey Martin-Noble 2280cb880d Add Operation::moveAfter
This revision introduces an Operation::moveAfter mirroring
Operation::moveBefore to move an operation after another
existing operation or an iterator in a specified block.

Resolves https://bugs.llvm.org/show_bug.cgi?id=45799

Differential Revision: https://reviews.llvm.org/D79640
2020-05-08 22:34:21 +00:00
Frederik Gossen 5d5f61fc89 [MLIR] Add complex addition and substraction to the standard dialect
Complex addition and substraction are the first two binary operations on complex
numbers.
Remaining operations will follow the same pattern.

Differential Revision: https://reviews.llvm.org/D79479
2020-05-08 09:54:18 +00:00
Marcel Koester 568787f81e [mlir] Updated SideEffect interface definitions to use tablegen Resource objects.
The SideEffect interface definitions currently use string expressions to
reference custom resource objects. This CL introduces Resource objects in
tablegen definitions to simplify linking of resource reference to resource
objects.

Differential Revision: https://reviews.llvm.org/D78917
2020-05-08 09:55:08 +02:00
Jacques Pienaar 5eae715a31 [mlir] Add NamedAttrList
This is a wrapper around vector of NamedAttributes that keeps track of whether sorted and does some minimal effort to remain sorted (doing more, e.g., appending attributes in sorted order, could be done in follow up). It contains whether sorted and if a DictionaryAttr is queried, it caches the returned DictionaryAttr along with whether sorted.

Change MutableDictionaryAttr to always return a non-null Attribute even when empty (reserve null cases for errors). To this end change the getter to take a context as input so that the empty DictionaryAttr could be queried. Also create one instance of the empty dictionary attribute that could be reused without needing to lock context etc.

Update infer type op interface to use DictionaryAttr and use NamedAttrList to avoid incurring multiple conversion costs.

Fix bug in sorting helper function.

Differential Revision: https://reviews.llvm.org/D79463
2020-05-07 12:33:36 -07:00
Alex Zinenko e41805fdab [mlir] Drop forward-declaration of loop::TerminatorOp.
This Op has been deleted in favor of loop::YieldOp, but the forward
declaration remain in the header.
2020-05-07 18:28:31 +02:00
Lei Zhang a2634748cd [mlir][spirv] Remove template functions for getting op's opcode
These template functions are used in the serializer, where we can
actually directly query the opcode from the op's definition and
use that in the auto-generated serialization logic.

This removes a set of templates accounting for 319 lines from
the auto-generated inc file.

Differential Revision: https://reviews.llvm.org/D79444
2020-05-07 09:32:03 -04:00
Alex Zinenko a87db48e6f [mlir] Support partial folding of affine.min/max
Originally, these operations were folded only if all expressions in their
affine maps could be folded to a constant expression that can be then subject
to numeric min/max computation. This introduces a more advanced version that
partially folds the affine map by lifting individual constant expression in it
even if some of the expressions remain variable. The folding can update the
operation in place to use a simpler map. Note that this is not as powerful as
canonicalization, in particular this does not remove dimensions or symbols that
became useless. This allows for better composition of Linalg tiling and
promotion transformation, where the latter can handle some canonical forms of
affine.min that the folding can now produce.

Differential Revision: https://reviews.llvm.org/D79502
2020-05-07 12:30:04 +02:00
Wen-Heng (Jack) Chung f649aca9f3 [mlir][rocdl] Fix typo. NFC.
ROCLD -> ROCDL.

Differential Revision: https://reviews.llvm.org/D79441
2020-05-07 11:55:47 +02:00
Uday Bondhugula 57d361bd2f [MLIR][NFC] Rename op trait PolyhedralScope -> AffineScope
Rename op trait PolyhedralScope -> AffineScope for consistency.

Differential Revision: https://reviews.llvm.org/D79503
2020-05-07 00:19:56 +05:30
Alex Zinenko 26f93d9f37 [mlir] OperationFolder: fix crash in creation of single-result-ops with in-place folds
When the folding is performed in place, the `::fold` function does not populate
its `results` argument to indicate that. (In the folding hook for single-result
operations, the result of the original operation is expected to be returned,
but it is then ignored by the wrapper.) `OperationFolder::create` would
erronously rely on the _operation_ having zero results instead of on the
_folding_ producing zero new results to populate the list of results with those
of the original operation. This would lead to a crash for single-result ops
with in-place folds where the first result is accessed uncondtionally because
the list of results was not properly populated. Use the list of values produced
by the folding instead.

Differential Revision: https://reviews.llvm.org/D79497
2020-05-06 20:40:32 +02:00
Sean Silva e382b3770e Fix ShapeBase.td
Summary:
- Add license header.
- Remove TODO about extracting ShapeBase.td

Differential Revision: https://reviews.llvm.org/D79506
2020-05-06 10:43:16 -07:00
Nicolas Vasilache 94438c86ad [mlir] Add a MemRefCastOp canonicalization pattern.
Summary:
This revision adds a conservative canonicalization pattern for MemRefCastOp that are typically inserted during ViewOp and SubViewOp canonicalization.
Ideally such canonicalizations would propagate the type to consumers but this is not a local behavior. As a consequence MemRefCastOp are introduced to keep type compatibility but need to be cleaned up later, in the case where more dynamic behavior than necessary is introduced.

Differential Revision: https://reviews.llvm.org/D79438
2020-05-06 09:10:05 -04:00
Sean Silva b40d073e53 [mlir][shape] Extract ShapeBase.td 2020-05-05 13:39:19 -07:00
River Riddle 24ad385884 [mlir][DenseElementsAttr] Add support for opaque APFloat/APInt complex values.
This revision allows for creating DenseElementsAttrs and accessing elements using std::complex<APInt>/std::complex<APFloat>. This allows for opaquely accessing and transforming complex values. This is used by the printer/parser to provide pretty printing for complex values. The form for complex values matches that of std::complex, i.e.:

```
// `(` element `,` element `)`
dense<(10,10)> : tensor<complex<i64>>
```

Differential Revision: https://reviews.llvm.org/D79296
2020-05-05 12:42:37 -07:00
River Riddle da2a6f4e3b [mlir][DenseElementsAttr] Add support for ComplexType elements
This revision adds support for storing ComplexType elements inside of a DenseElementsAttr. We store complex objects as an array of two elements, matching the  definition of std::complex. There is no current attribute storage for ComplexType, but DenseElementsAttr provides API for access/creation using std::complex<>. Given that the internal implementation of DenseElementsAttr is already fairly opaque, the only real complexity here is in the printing/parsing. This revision keeps it simple for now and always uses hex when printing complex elements. A followup will add prettier syntax for this.

Differential Revision: https://reviews.llvm.org/D79281
2020-05-05 12:42:37 -07:00
Alex Zinenko 9d273c0ef0 [mlir] Harden verifiers for DMA ops
DMA operation classes in the Standard dialect (`DmaStartOp` and `DmaWaitOp`)
provide helper functions that make numerous assumptions about the number and
order of operands, and about their types. However, these assumptions were not
checked in the verifier, leading to assertion failures or crashes when helper
functions were used on ill-formed ops. Some of the assuptions were checked in
the custom parser (and thus could not check assumption violations in ops
constructed programmatically, e.g., during rewrites) and others were not
checked at all. Introduce the verifiers for all these assumptions and drop
unnecessary checks in the parser that are now covered by the verifier.

Addresses PR45560.

Differential Revision: https://reviews.llvm.org/D79408
2020-05-05 20:40:41 +02:00
Andy Davis 93d1108801 [MLIR][LoopOps] Adds the loop unroll transformation for loop::ForOp.
Summary:
Adds the loop unroll transformation for loop::ForOp.
Adds support for promoting the body of single-iteration loop::ForOps into its containing block.
Adds check tests for loop::ForOps with dynamic and static lower/upper bounds and step.
Care was taken to share code (where possible) with the AffineForOp unroll transformation to ease maintenance and potential future transition to a LoopLike construct on which loop transformations for different loop types can implemented.

Reviewers: ftynse, nicolasvasilache

Reviewed By: ftynse

Subscribers: bondhugula, mgorny, zzheng, mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, nicolasvasilache, arpith-jacob, mgester, lucyrfox, aartbik, liufengdb, Joonsoo, grosul1, frgossen, Kayjukh, llvm-commits

Tags: #llvm

Differential Revision: https://reviews.llvm.org/D79184
2020-05-05 10:42:36 -07:00