Commit Graph

18 Commits

Author SHA1 Message Date
River Riddle 676bfb2a22 [mlir] Refactor ShapedType into an interface
ShapedType was created in a time before interfaces, and is one of the earliest
type base classes in the ecosystem. This commit refactors ShapedType into
an interface, which is what it would have been if interfaces had existed at that
time. The API of ShapedType and it's derived classes are essentially untouched
by this refactor, with the exception being the API surrounding kDynamicIndex
(which requires a sole home).

For now, the API of ShapedType and its name have been kept as consistent to
the current state of the world as possible (to help with potential migration churn,
among other reasons). Moving forward though, we should look into potentially
restructuring its API and possible its name as well (it should really have "Interface"
at the end like other interfaces at the very least).

One other potentially interesting note is that I've attached the ShapedType::Trait
to TensorType/BaseMemRefType to act as mixins for the ShapedType API. This
is kind of weird, but allows for sharing the same API (i.e. preventing API loss from
the transition from base class -> Interface). This inheritance doesn't affect any
of the derived classes, it is just for API mixin.

Differential Revision: https://reviews.llvm.org/D116962
2022-01-12 14:12:09 -08:00
Alex Zinenko cafaa35036 [mlir] Make it possible to directly supply constant values to LLVM GEPOp
In LLVM IR, the GEP indices that correspond to structures are required to be
i32 constants. MLIR models constants as just values defined by special
operations, and there is no verification that it is the case for structure
indices in GEP. Furthermore, some common transformations such as control flow
simplification may lead to the operands becoming non-constant. Make it possible
to directly supply constant values to LLVM GEPOp to guarantee they remain
constant until the translation to LLVM IR. This is not yet a requirement and
the verifier is not modified, this will be introduced separately.

Reviewed By: wsmoses

Differential Revision: https://reviews.llvm.org/D116757
2022-01-07 09:56:01 +01:00
Mehdi Amini e4853be2f1 Apply clang-tidy fixes for performance-for-range-copy to MLIR (NFC) 2022-01-02 22:19:56 +00:00
Mehdi Amini 07b264d1f0 Pass the LLVMTypeConverter by reference in UnrankedMemRefBuilder (NFC)
This is a fairly large structure (952B according to Coverity), it was
already passed by reference in most places but not consistently.
2022-01-01 02:01:41 +00:00
Mehdi Amini bb6109aae6 Pass the LLVMTypeConverter by reference in MemRefBuilder (NFC)
This is a fairly large structure (952B according to Coverity), it was
already passed by reference in most places but not consistently.
2022-01-01 01:56:50 +00:00
Mehdi Amini 02b6fb218e Fix clang-tidy issues in mlir/ (NFC)
Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D115956
2021-12-20 20:25:01 +00:00
Javier Setoain a4830d14ed [mlir][RFC] Add scalable dimensions to VectorType
With VectorType supporting scalable dimensions, we don't need many of
the operations currently present in ArmSVE, like mask generation and
basic arithmetic instructions. Therefore, this patch also gets
rid of those.

Having built-in scalable vector support also simplifies the lowering of
scalable vector dialects down to LLVMIR.

Scalable dimensions are indicated with the scalable dimensions
between square brackets:

        vector<[4]xf32>

Is a scalable vector of 4 single precission floating point elements.

More generally, a VectorType can have a set of fixed-length dimensions
followed by a set of scalable dimensions:

        vector<2x[4x4]xf32>

Is a vector with 2 scalable 4x4 vectors of single precission floating
point elements.

The scale of the scalable dimensions can be obtained with the Vector
operation:

        %vs = vector.vscale

This change is being discussed in the discourse RFC:

https://llvm.discourse.group/t/rfc-add-built-in-support-for-scalable-vector-types/4484

Differential Revision: https://reviews.llvm.org/D111819
2021-12-15 09:31:37 +00:00
Alex Zinenko d64b3e47ba [mlir] Avoid needlessly converting LLVM named structs with compatible elements
Conversion of LLVM named structs leads to them being renamed since we cannot
modify the body of the struct type once it is set. Previously, this applied to
all named struct types, even if their element types were not affected by the
conversion. Make this behvaior only applicable when element types are changed.
This requires making the LLVM dialect type-compatibility check recursively look
at the element types (arguably, it should have been doing than since the moment
the LLVM dialect type system stopped being closed). In addition, have a more
lax check for outer types only to avoid repeated check when necessary (e.g.,
parser, verifiers that are going to also look at the inner type).

Reviewed By: wsmoses

Differential Revision: https://reviews.llvm.org/D115037
2021-12-06 13:42:11 +01:00
Alex Zinenko 9dd1f8dfdd [mlir] support recursive type conversion of named LLVM structs
A previous commit added support for converting elemental types contained in
LLVM dialect types in case they were not compatible with the LLVM dialect. It
was missing support for named structs as they could be recursive, which was not
supported by the conversion infra. Now that it is, add support for converting
such named structs.

Depends On D113579

Reviewed By: wsmoses

Differential Revision: https://reviews.llvm.org/D113580
2021-12-03 12:41:40 +01:00
Nicolas Vasilache e7026aba00 [mlir][Vector] Thread 0-d vectors through ExtractElementOp.
This revision starts making concrete use of 0-d vectors to extend the semantics of
ExtractElementOp.
In the process a new VectorOfAnyRank Tablegen OpBase.td is added to allow progressive transition to supporting 0-d vectors by gradually opting in.

Differential Revision: https://reviews.llvm.org/D114387
2021-11-23 12:39:44 +00:00
Alex Zinenko e64c76672f [mlir] recursively convert builtin types to LLVM when possible
Given that LLVM dialect types may now optionally contain types from other
dialects, which itself is motivated by dialect interoperability and progressive
lowering, the conversion should no longer assume that the outermost LLVM
dialect type can be left as is. Instead, it should inspect the types it
contains and attempt to convert them to the LLVM dialect. Introduce this
capability for LLVM array, pointer and structure types. Only literal structures
are currently supported as handling identified structures requires the
converison infrastructure to have a mechanism for avoiding infite recursion in
case of recursive types.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D112550
2021-11-10 18:11:00 +01:00
Vladislav Vinogradov e41ebbecf9 [mlir][RFC] Refactor layout representation in MemRefType
The change is based on the proposal from the following discussion:
https://llvm.discourse.group/t/rfc-memreftype-affine-maps-list-vs-single-item/3968

* Introduce `MemRefLayoutAttr` interface to get `AffineMap` from an `Attribute`
  (`AffineMapAttr` implements this interface).
* Store layout as a single generic `MemRefLayoutAttr`.

This change removes the affine map composition feature and related API.
Actually, while the `MemRefType` itself supported it, almost none of the upstream
can work with more than 1 affine map in `MemRefType`.

The introduced `MemRefLayoutAttr` allows to re-implement this feature
in a more stable way - via separate attribute class.

Also the interface allows to use different layout representations rather than affine maps.
For example, the described "stride + offset" form, which is currently supported in ASM parser only,
can now be expressed as separate attribute.

Reviewed By: ftynse, bondhugula

Differential Revision: https://reviews.llvm.org/D111553
2021-10-19 12:31:15 +03:00
Nicolas Vasilache a664c14001 [mlir][LLVM] Revert bareptr calling convention handling as an argument materialization.
Type conversion and argument materialization are context-free: there is no available information on which op / branch is currently being converted.
As a consequence, bare ptr convention cannot be handled as an argument materialization: it would apply irrespectively of the parent op.
This doesn't typecheck in the case of non-funcOp and we would see cases where a memref descriptor would be inserted in place of the pointer in another memref descriptor.

For now the proper behavior is to revert to a specific BarePtrFunc implementation and drop the blanket argument materialization logic.

This reverts the relevant piece of the conversion to LLVM to what it was before https://reviews.llvm.org/D105880 and adds a relevant test and documentation to avoid the mistake by whomever attempts this again in the future.

Reviewed By: arpith-jacob

Differential Revision: https://reviews.llvm.org/D106495
2021-07-21 22:06:50 +00:00
Alex Zinenko 881dc34f73 [mlir] replace llvm.mlir.cast with unrealized_conversion_cast
The dialect-specific cast between builtin (ex-standard) types and LLVM
dialect types was introduced long time before built-in support for
unrealized_conversion_cast. It has a similar purpose, but is restricted
to compatible builtin and LLVM dialect types, which may hamper
progressive lowering and composition with types from other dialects.
Replace llvm.mlir.cast with unrealized_conversion_cast, and drop the
operation that became unnecessary.

Also make unrealized_conversion_cast legal by default in
LLVMConversionTarget as the majority of convesions using it are partial
conversions that actually want the casts to persist in the IR. The
standard-to-llvm conversion, which is still expected to run last, cleans
up the remaining casts  standard-to-llvm conversion, which is still
expected to run last, cleans up the remaining casts

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D105880
2021-07-16 15:14:09 +02:00
Frederik Gossen ed1f149b54 [MLIR][StandardToLLVM] Move `copyUnrankedDescriptors` to pattern
Make the function `copyUnrankedDescriptors` accessible in
`ConvertToLLVMPattern`.

Differential Revision: https://reviews.llvm.org/D105810
2021-07-12 15:35:07 +02:00
Alex Zinenko 75e5f0aac9 [mlir] factor memref-to-llvm lowering out of std-to-llvm
After the MemRef has been split out of the Standard dialect, the
conversion to the LLVM dialect remained as a huge monolithic pass.
This is undesirable for the same complexity management reasons as having
a huge Standard dialect itself, and is even more confusing given the
existence of a separate dialect. Extract the conversion of the MemRef
dialect operations to LLVM into a separate library and a separate
conversion pass.

Reviewed By: herhut, silvas

Differential Revision: https://reviews.llvm.org/D105625
2021-07-09 14:49:52 +02:00
Alex Zinenko 684dfe8adb [mlir] factor out ConvertToLLVMPattern
This class and classes that extend it are general utilities for any dialect
that is being converted into the LLVM dialect. They are in no way specific to
Standard-to-LLVM conversion and should not make their users depend on it.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D105542
2021-07-08 10:27:05 +02:00
Alex Zinenko b5d847b1b9 [mlir] factor out common parts of the converstion to the LLVM dialect
"Standard-to-LLVM" conversion is one of the oldest passes in existence. It has
become quite large due to the size of the Standard dialect itself, which is
being split into multiple smaller dialects. Furthermore, several conversion
features are useful for any dialect that is being converted to the LLVM
dialect, which, without this refactoring, creates a dependency from those
conversions to the "standard-to-llvm" one.

Put several of the reusable utilities from this conversion to a separate
library, namely:
- type converter from builtin to LLVM dialect types;
- utility for building and accessing values of LLVM structure type;
- utility for building and accessing values that represent memref in the LLVM
  dialect;
- lowering options applicable everywhere.

Additionally, remove the type wrapping/unwrapping notion from the type
converter that is no longer relevant since LLVM types has been reimplemented as
first-class MLIR types.

Reviewed By: pifon2a

Differential Revision: https://reviews.llvm.org/D105534
2021-07-07 10:51:08 +02:00