This adds slightly higher-level ops for converting masks between svbool
and SVE predicate types. The main reason to use these over the
intrinsics is these ops support vectors of masks (via unrolling).
E.g.
```
// Convert a svbool mask to a mask of SVE predicates:
%svbool = vector.load %memref[%c0, %c0]
: memref<2x?xi1>, vector<2x[16]xi1>
%mask = arm_sve.convert_from_svbool %svbool : vector<2x[8]xi1>
// => Results in vector<2x[8]xi1>
```
Or:
```
// Convert a mask of SVE predicates to a svbool mask:
%mask = vector.create_mask %c2, %dim_size : vector<2x[2]xi1>
%svbool = arm_sve.convert_to_svbool %mask : vector<2x[2]xi1>
// => Results in vector<2x[16]xi1>
```
Depends on #68418
This rearranges the Arm SVE dialect to have the same structure of the
Arm SME dialect. So this just moves around some source files and adds a
ArmSVE_IntrOp base class for SVE intrinsics. This makes later changes a
little easier and more consistent other dialects.
At the moment, only the trailing dimensions in the vector type can be
scalable, i.e. this is supported:
vector<2x[4]xf32>
and this is not allowed:
vector<[2]x4xf32>
This patch extends the vector type so that arbitrary dimensions can be
scalable. To this end, an array of bool values is added to every vector
type to denote whether the corresponding dimensions are scalable or not.
For example, for this vector:
vector<[2]x[3]x4xf32>
the following array would be created:
{true, true, false}.
Additionally, the current syntax:
vector<[2x3]x4xf32>
is replaced with:
vector<[2]x[3]x4xf32>
This is primarily to simplify parsing (this way, the parser can easily
process one dimension at a time rather than e.g. tracking whether
"scalable block" has been entered/left).
NOTE: The `isScalableDim` parameter of `VectorType` (introduced in this
patch) makes `numScalableDims` redundant. For the time being,
`numScalableDims` is preserved to facilitate the transition between the
two parameters. `numScalableDims` will be removed in one of the
subsequent patches.
This change is a part of a larger effort to enable scalable
vectorisation in Linalg. See this RFC for more context:
* https://discourse.llvm.org/t/rfc-scalable-vectorisation-in-linalg/
Differential Revision: https://reviews.llvm.org/D153372
The MLIR classes Type/Attribute/Operation/Op/Value support
cast/dyn_cast/isa/dyn_cast_or_null functionality through llvm's doCast
functionality in addition to defining methods with the same name.
This change begins the migration of uses of the method to the
corresponding function call as has been decided as more consistent.
Note that there still exist classes that only define methods directly,
such as AffineExpr, and this does not include work currently to support
a functional cast/isa call.
Context:
* https://mlir.llvm.org/deprecation/ at "Use the free function variants for dyn_cast/cast/isa/…"
* Original discussion at https://discourse.llvm.org/t/preferred-casting-style-going-forward/68443
Implementation:
This follows a previous patch that updated calls
`op.cast<T>()-> cast<T>(op)`. However some cases could not handle an
unprefixed `cast` call due to occurrences of variables named cast, or
occurring inside of class definitions which would resolve to the method.
All C++ files that did not work automatically with `cast<T>()` are
updated here to `llvm::cast` and similar with the intention that they
can be easily updated after the methods are removed through a
find-replace.
See https://github.com/llvm/llvm-project/compare/main...tpopp:llvm-project:tidy-cast-check
for the clang-tidy check that is used and then update printed
occurrences of the function to include `llvm::` before.
One can then run the following:
```
ninja -C $BUILD_DIR clang-tidy
run-clang-tidy -clang-tidy-binary=$BUILD_DIR/bin/clang-tidy -checks='-*,misc-cast-functions'\
-export-fixes /tmp/cast/casts.yaml mlir/*\
-header-filter=mlir/ -fix
rm -rf $BUILD_DIR/tools/mlir/**/*.inc
```
Differential Revision: https://reviews.llvm.org/D150348
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
The new form of printing attribute in the declarative assembly is eliding the `#dialect.mnemonic` prefix to only keep the `<....>` part.
Differential Revision: https://reviews.llvm.org/D113873
Precursor: https://reviews.llvm.org/D110200
Removed redundant ops from the standard dialect that were moved to the
`arith` or `math` dialects.
Renamed all instances of operations in the codebase and in tests.
Reviewed By: rriddle, jpienaar
Differential Revision: https://reviews.llvm.org/D110797
The former is redundant because the later carries it as part of
its builder. Add a getContext() helper method to DialectAsmParser
to make this more convenient, and stop passing the context around
explicitly. This simplifies ODS generated parser hooks for attrs
and types.
This resolves PR51985
Recommit 4b32f8bac4 after fixing a dependency.
Differential Revision: https://reviews.llvm.org/D110796
The former is redundant because the later carries it as part of
its builder. Add a getContext() helper method to DialectAsmParser
to make this more convenient, and stop passing the context around
explicitly. This simplifies ODS generated parser hooks for attrs
and types.
This resolves PR51985
Differential Revision: https://reviews.llvm.org/D110796
* Previously, we were only generating .h.inc files. We foresee the need to also generate implementations and this is a step towards that.
* Discussed in https://llvm.discourse.group/t/generating-cpp-inc-files-for-dialects/3732/2
* Deviates from the discussion above by generating a default constructor in the .cpp.inc file (and adding a tablegen bit that disables this in case if this is user provided).
* Generating the destructor started as a way to flush out the missing includes (produces a link error), but it is a strict improvement on its own that is worth doing (i.e. by emitting key methods in the .cpp file, we root vtables in one translation unit, which is a non-controversial improvement).
Differential Revision: https://reviews.llvm.org/D105070
These `arm_sve.cmp` functions are needed to generate scalable vector
masks as long as scalable vectors are not part of the standard types.
Once in standard, these can be removed and `std.cmp` can be used
instead.
Differential Revision: https://reviews.llvm.org/D103473
These `arm_sve.cmp` functions are needed to generate scalable vector
masks as long as scalable vectors are not part of the standard types.
Once in standard, these can be removed and `std.cmp` can be used
instead.
Differential Revision: https://reviews.llvm.org/D103473
These instructions map to SVE-specific instrinsics that accept a
predicate operand to support control flow in vector code.
Differential Revision: https://reviews.llvm.org/D100982
ArmSVE dialect is behind the recent changes in how the Vector dialect
interacts with backend vector dialects and the MLIR -> LLVM IR
translation module. This patch cleans up ArmSVE initialization within
Vector and removes the need for an LLVMArmSVE dialect.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D100171
This allows for storage instances to store data that isn't uniqued in the context, or contain otherwise non-trivial logic, in the rare situations that they occur. Storage instances with trivial destructors will still have their destructor skipped. A consequence of this is that the storage instance definition must be visible from the place that registers the type.
Differential Revision: https://reviews.llvm.org/D98311
This allows the caller to distinguish between a parse error or an
unmatched keyword. It fixes the redundant error that was emitted by the
caller when the generated parser would fail.
Differential Revision: https://reviews.llvm.org/D98162
