Commit Graph

5934 Commits

Author SHA1 Message Date
Benjamin Kramer 175265ef80 Fix another g++ incompatibility. Same issue as 932f27dc1f. 2022-04-08 15:53:23 +02:00
Vivek Khandelwal b20719dc7d [mlir][Linalg] Add pooling_nchw_sum op.
This commit adds pooling_nchw_sum as a yaml op.

Reviewed By: cathyzhyi, gysit

Differential Revision: https://reviews.llvm.org/D123013
2022-04-08 17:57:47 +05:30
Benjamin Kramer 932f27dc1f Disambiguate conversion cast for GCC
GCC 9 has problems with this.

mlir/include/mlir/IR/OperationSupport.h: In member function ‘mlir::Value mlir::MutableOperandRange::operator[](unsigned int) const’:
mlir/include/mlir/IR/OperationSupport.h:912:43: error: call of overloaded ‘OperandRange(const mlir::MutableOperandRange&)’ is ambiguous
  912 |     return static_cast<OperandRange>(*this)[index];
      |
mlir/include/mlir/IR/OperationSupport.h:789:21: note: candidate: mlir::OperandRange::OperandRange(const llvm::iterator_range<llvm::detail::indexed_accessor_
range_base<mlir::OperandRange, mlir::OpOperand*, mlir::Value, mlir::Value, mlir::Value>::iterator>&)
   using RangeBaseT::RangeBaseT;
                     ^~~~~~~~~~
mlir/include/mlir/IR/OperationSupport.h:786:7: note: candidate: constexpr mlir::OperandRange::OperandRange(const mlir::OperandRange&)
 class OperandRange final : public llvm::detail::indexed_accessor_range_base<
       ^~~~~~~~~~~~
mlir/include/mlir/IR/OperationSupport.h:786:7: note: candidate: constexpr mlir::OperandRange::OperandRange(mlir::OperandRange&&)
2022-04-08 12:55:09 +02:00
Matthias Springer d7a9bf9143 [mlir][tensor] Fix verifier and bufferization of collapse_shape
Insert a buffer copy unless the dims are guaranteed to be collapsible. In the verifier, accept collapses unless they are guaranteed to be non-collapsible.

Differential Revision: https://reviews.llvm.org/D123316
2022-04-08 18:20:40 +09:00
Benjamin Kramer 656f0b825c [spirv] Make header self-contained. NFC. 2022-04-08 10:54:58 +02:00
jacquesguan 088d38890c [mlir][Arithmetic] Add constant folder for negf.
Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D123293
2022-04-08 07:36:29 +00:00
River Riddle 36d3efea15 [mlir][NFC] Drop a few unnecessary includes from Pass.h 2022-04-07 23:42:47 -07:00
Markus Böck 0c789db541 [mlir] Add support for operation-produced successor arguments in BranchOpInterface
This patch revamps the BranchOpInterface a bit and allows a proper implementation of what was previously `getMutableSuccessorOperands` for operations, which internally produce arguments to some of the block arguments. A motivating example for this would be an invoke op with a error handling path:
```
invoke %function(%0)
  label ^success ^error(%1 : i32)

^error(%e: !error, %arg0 : i32):
  ...
```
The advantages of this are that any users of `BranchOpInterface` can still argue over remaining block argument operands (such as `%1` in the example above), as well as make use of the modifying capabilities to add more operands, erase an operand etc.

The way this patch implements that functionality is via a new class called `SuccessorOperands`, which is now returned by `getSuccessorOperands`. It basically contains an `unsigned` denoting how many operator produced operands exist, as well as a `MutableOperandRange`, which are the usual forwarded operands we are used to. The produced operands are assumed to the first few block arguments, followed by the forwarded operands afterwards. The role of `SuccessorOperands` is to provide various utility functions to modify and query the successor arguments from a `BranchOpInterface`.

Differential Revision: https://reviews.llvm.org/D123062
2022-04-08 08:28:16 +02:00
jacquesguan 5bd7b0efd0 [mlir][LLVMIR] Add more vector predication intrinsic ops.
This revision adds float unary, ternary and float/integer reduction intrinsic ops.

Differential Revision: https://reviews.llvm.org/D123189
2022-04-08 03:16:37 +00:00
Jeremy Furtek 21949de62f [mlir] Width parameterization of BitEnum attributes
This diff contains:

- Parameterization of bit enum attributes in OpBase.td by bit width (e.g. 32
and 64). Previously, all enums were 32-bits. This brings enum functionality in
line with other integer attributes, and allows for bit enums greater than 32
bits.
- SPIRV and Vector dialects were updated to use bit enum attributes with an
  explicit bit width

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D123095
2022-04-08 01:21:29 +00:00
Stella Laurenzo 145574fa2d NFC: Eliminate warning for unused type alias FnTraitsT in release builds.
Differential Revision: https://reviews.llvm.org/D123351
2022-04-07 18:11:11 -07:00
River Riddle af371f9f98 Reland [GreedPatternRewriter] Preprocess constants while building worklist when not processing top down
Reland Note: Adds a fix to properly mark a commutative operation as folded if we change the order
             of its operands. This was uncovered by the fact that we no longer re-process constants.

This avoids accidentally reversing the order of constants during successive
application, e.g. when running the canonicalizer. This helps reduce the number
of iterations, and also avoids unnecessary changes to input IR.

Fixes #51892

Differential Revision: https://reviews.llvm.org/D122692
2022-04-07 11:31:42 -07:00
Alex Zinenko dbf35b71c7 [mlir] specify dialect names in doc generation
In several cases, a doc is being generated from a .td file that includes
files containing other dialects. Specify the dialect for which the
documentation is being generated explicitly.
2022-04-07 16:37:46 +02:00
River Riddle ea64828a10 [mlir:PDL] Expand how native constraint/rewrite functions can be defined
This commit refactors the expected form of native constraint and rewrite
functions, and greatly reduces the necessary user complexity required when
defining a native function. Namely, this commit adds in automatic processing
of the necessary PDLValue glue code, and allows for users to define
constraint/rewrite functions using the C++ types that they actually want to
use.

As an example, lets see a simple example rewrite defined today:

```
static void rewriteFn(PatternRewriter &rewriter, PDLResultList &results,
                      ArrayRef<PDLValue> args) {
  ValueRange operandValues = args[0].cast<ValueRange>();
  TypeRange typeValues = args[1].cast<TypeRange>();
  ...
  // Create an operation at some point and pass it back to PDL.
  Operation *op = rewriter.create<SomeOp>(...);
  results.push_back(op);
}
```

After this commit, that same rewrite could be defined as:

```
static Operation *rewriteFn(PatternRewriter &rewriter ValueRange operandValues,
                            TypeRange typeValues) {
  ...
  // Create an operation at some point and pass it back to PDL.
  return rewriter.create<SomeOp>(...);
}
```

Differential Revision: https://reviews.llvm.org/D122086
2022-04-06 17:41:59 -07:00
John Demme 8d8738f6fe [MLIR] Add block detach func to CAPI and use it in Python bindings
Adds `mlirBlockDetach` to the CAPI to remove a block from its parent
region. Use it in the Python bindings to implement
`Block.append_to(region)`.

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D123165
2022-04-06 13:11:56 -07:00
Matthias Springer f4f1cf6c31 [mlir][bufferize] Better analysis for return values of CallOps
Support returning arbitrary tensors from functions. Even those that are
not equivalent. To that end, additional information is gathered during
the analysis phase. In particular, which function args are aliasing with
which return values.

Also fix bugs in the current implementation when returning equivalent
tensors. Various unit tests are added to ensure that we have better test
coverage.

Note: Returning non-equivalent tensors is only allowed when
allowReturnAllocs is enabled. This functionality is useful for unit
testing and compatibility with other bufferizations such as the sparse
compiler. This is also towards using ModuleBufferization as a
replacement for --func-bufferize.

Differential Revision: https://reviews.llvm.org/D119120
2022-04-06 23:54:32 +09:00
Alex Zinenko 82c18dd9ad [mlir] Fix DialectRegistry::addExtension compile error
It appears that the DialectRegistry::addExtension template was never
instantiated because it contains an obvious compilation error. Fix it.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D123199
2022-04-06 13:00:34 +02:00
Alexander Belyaev 747b10be95 Revert "Revert "[mlir] Rewrite canonicalization of collapse(expand) and expand(collapse).""
This reverts commit 96e9b6c9dc.
2022-04-06 12:18:30 +02:00
jacquesguan 2420d42925 [mlir][LLVMIR] Add vector predication binary intrinsic ops.
Differential Revision: https://reviews.llvm.org/D122971
2022-04-06 10:48:24 +08:00
John Demme 94d96c2a62 [MLIR] [Python] Pybind adaptors: coerce None to default MlirLocation
Add default source location coercion to enable location elision in
Python code.
2022-04-05 17:10:20 -07:00
Hanhan Wang 96e9b6c9dc Revert "[mlir] Rewrite canonicalization of collapse(expand) and expand(collapse)."
This reverts commit 64f659bee6.

An invalid tensor.expand_shape op is generated with the commit. To repro:

$ mlir-opt -canonicalize a.mlir

```
func @foo(%0: tensor<1x1xf32>, %1: tensor<1x1xf32>, %2: tensor<1x1xf32>) -> tensor<1x1xf32> {
  %cst = arith.constant 0.000000e+00 : f32
  %3 = linalg.init_tensor [8, 1] : tensor<8x1xf32>
  %4 = linalg.fill ins(%cst : f32) outs(%3 : tensor<8x1xf32>) -> tensor<8x1xf32>
  %5 = tensor.collapse_shape %0 [] : tensor<1x1xf32> into tensor<f32>
  %6 = tensor.insert_slice %5 into %4[0, 0] [1, 1] [1, 1] : tensor<f32> into tensor<8x1xf32>
  %7 = linalg.init_tensor [8, 1] : tensor<8x1xf32>
  %8 = linalg.fill ins(%cst : f32) outs(%7 : tensor<8x1xf32>) -> tensor<8x1xf32>
  %9 = tensor.collapse_shape %2 [] : tensor<1x1xf32> into tensor<f32>
  %10 = tensor.insert_slice %9 into %8[0, 0] [1, 1] [1, 1] : tensor<f32> into tensor<8x1xf32>
  %11 = tensor.collapse_shape %6 [[0, 1]] : tensor<8x1xf32> into tensor<8xf32>
  %12 = linalg.init_tensor [8] : tensor<8xf32>
  %13 = linalg.generic {indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], iterator_types = ["parallel"]} ins(%11 : tensor<8xf32>) outs(%12 : tensor<8xf32>) {
  ^bb0(%arg3: f32, %arg4: f32):
    linalg.yield %arg3 : f32
  } -> tensor<8xf32>
  %14 = tensor.expand_shape %13 [[0, 1, 2, 3]] : tensor<8xf32> into tensor<1x1x8x1xf32>
  %15 = tensor.collapse_shape %1 [] : tensor<1x1xf32> into tensor<f32>
  %16 = linalg.init_tensor [] : tensor<f32>
  %17 = linalg.generic {indexing_maps = [affine_map<() -> ()>, affine_map<() -> ()>], iterator_types = []} ins(%15 : tensor<f32>) outs(%16 : tensor<f32>) {
  ^bb0(%arg3: f32, %arg4: f32):
    linalg.yield %arg3 : f32
  } -> tensor<f32>
  %18 = tensor.expand_shape %17 [] : tensor<f32> into tensor<1x1x1x1xf32>
  %19 = tensor.collapse_shape %10 [[0, 1]] : tensor<8x1xf32> into tensor<8xf32>
  %20 = linalg.init_tensor [8] : tensor<8xf32>
  %21 = linalg.generic {indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], iterator_types = ["parallel"]} ins(%19 : tensor<8xf32>) outs(%20 : tensor<8xf32>) {
  ^bb0(%arg3: f32, %arg4: f32):
    linalg.yield %arg3 : f32
  } -> tensor<8xf32>
  %22 = tensor.expand_shape %21 [[0, 1, 2, 3]] : tensor<8xf32> into tensor<1x1x8x1xf32>
  %23 = linalg.mmt4d {comment = "f32*f32->f32, aarch64, matrix*vector"} ins(%14, %18 : tensor<1x1x8x1xf32>, tensor<1x1x1x1xf32>) outs(%22 : tensor<1x1x8x1xf32>) -> tensor<1x1x8x1xf32>
  %24 = tensor.collapse_shape %23 [[0, 1, 2, 3]] : tensor<1x1x8x1xf32> into tensor<8xf32>
  %25 = linalg.init_tensor [8] : tensor<8xf32>
  %26 = linalg.generic {indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], iterator_types = ["parallel"]} ins(%24 : tensor<8xf32>) outs(%25 : tensor<8xf32>) {
  ^bb0(%arg3: f32, %arg4: f32):
    linalg.yield %arg3 : f32
  } -> tensor<8xf32>
  %27 = tensor.expand_shape %26 [[0, 1]] : tensor<8xf32> into tensor<8x1xf32>
  %28 = tensor.extract_slice %27[0, 0] [1, 1] [1, 1] : tensor<8x1xf32> to tensor<f32>
  %29 = tensor.expand_shape %28 [] : tensor<f32> into tensor<1x1xf32>
  return %29 : tensor<1x1xf32>
}
```

Differential Revision: https://reviews.llvm.org/D123161
2022-04-05 15:05:41 -07:00
Groverkss 0a06ac749b [MLIR][Affine][Analysis] Merge FAC and FACV
With the introduction of IntegerPolyhedron and IntegerRelation in Presburger
directory, the purpose of FlatAffineConstraints becomes redundant. For users
requiring Presburger arithmetic without IR information, Presburger library can
directly be used. For users requiring IR information,
FlatAffineValueConstraints can be used.

This patch merges FAC and FACV to remove redundancy of FAC.

Reviewed By: arjunp

Differential Revision: https://reviews.llvm.org/D122476
2022-04-06 03:02:32 +05:30
Lei Zhang 59d3a9e087 [mlir][vector] Separate high-D insert/extract strided slice rewrite
Right now `populateVectorInsertExtractStridedSliceTransforms` contains
two categories of patterns, one for decomposing high-D insert/extract
strided slices, the other for lowering them to shuffle ops.
They are at different levels---the former is in the middle, while
the latter is a step of final lowering. Split them to give users
more control of which pattern to pick.

This means break down the previous `VectorExtractStridedSliceOpRewritePattern`,
which is doing two things together.

Also renamed those patterns to be clearer.

Reviewed By: ThomasRaoux

Differential Revision: https://reviews.llvm.org/D123137
2022-04-05 15:00:50 -04:00
Arjun P 79ad5fb295 [MLIR][Presburger] IntegerPolyhedron: add support for symbolic integer lexmin
Add support for computing the symbolic integer lexmin of a polyhedron.
This finds, for every assignment to the symbols, the lexicographically
minimum value attained by the dimensions. For example, the symbolic lexmin
of the set

`(x, y)[a, b, c] : (a <= x, b <= x, x <= c)`

can be written as

```
x = a if b <= a, a <= c
x = b if a <  b, b <= c
```

This also finds the set of assignments to the symbols that make the lexmin unbounded.

This was previously landed in da92f92621 and
reverted in b238c252e8 due to a build failure
in the code. Re-landing now with a fixed build.

Reviewed By: Groverkss

Differential Revision: https://reviews.llvm.org/D122985
2022-04-05 18:50:34 +01:00
Lorenzo Chelini ae0fb61303 [MLIR] Check for static shape before bare pointer conversion
Originally in the returnOp conversion, the result type was changing to bare
pointer if the type was a memref. This is incorrect as conversion to bare
pointer can only be done if the memref has static shape, strides and offset.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D123121
2022-04-05 17:56:41 +02:00
Alex Zinenko 0be38d4f32 [mlir][ods] Add description to Attr and ensure doc generation
Add the description textual field to the Attr ODS class to mirror an
identical field in the Type ODS class. Add support for generating
documentation for attribute constraints defined using this field. This
ensures mlir-tblgen produces at least some documentation for dialects
that only define attribute constraints, such as DLTI.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D123024
2022-04-05 10:40:15 +02:00
Alexander Belyaev 64f659bee6 [mlir] Rewrite canonicalization of collapse(expand) and expand(collapse).
Differential Revision: https://reviews.llvm.org/D122666
2022-04-05 10:03:07 +02:00
Arjun P b238c252e8 Revert "[MLIR][Presburger] IntegerPolyhedron: add support for symbolic integer lexmin"
This reverts commit da92f92621.
2022-04-05 00:31:17 +01:00
Arjun P da92f92621 [MLIR][Presburger] IntegerPolyhedron: add support for symbolic integer lexmin
Add support for computing the symbolic integer lexmin of a polyhedron.
This finds, for every assignment to the symbols, the lexicographically
minimum value attained by the dimensions. For example, the symbolic lexmin
of the set

`(x, y)[a, b, c] : (a <= x, b <= x, x <= c)`

can be written as

```
x = a if b <= a, a <= c
x = b if a <  b, b <= c
```

This also finds the set of assignments to the symbols that make the lexmin unbounded.

Reviewed By: Groverkss

Differential Revision: https://reviews.llvm.org/D122985
2022-04-05 00:24:57 +01:00
River Riddle 5e50dd048e [mlir] Rework the implementation of TypeID
This commit restructures how TypeID is implemented to ideally avoid
the current problems related to shared libraries. This is done by changing
the "implicit" fallback path to use the name of the type, instead of using
a static template variable (which breaks shared libraries). The major downside to this
is that it adds some additional initialization costs for the implicit path. Given the
use of type names for uniqueness in the fallback, we also no longer allow types
defined in anonymous namespaces to have an implicit TypeID. To simplify defining
an ID for these classes, a new `MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID` macro
was added to allow for explicitly defining a TypeID directly on an internal class.

To help identify when types are using the fallback, `-debug-only=typeid` can be
used to log which types are using implicit ids.

This change generally only requires changes to the test passes, which are all defined
in anonymous namespaces, and thus can't use the fallback any longer.

Differential Revision: https://reviews.llvm.org/D122775
2022-04-04 13:52:26 -07:00
Rob Suderman 126e7eaf0d [tosa] Add option to disable tosa.apply_scale lowering in TosaToStandard
Apply scale should be optionally disabled when lowering via TosaToStandard.
In most cases it should persist until the lowering to specific backend.

Reviewed By: jpienaar

Differential Revision: https://reviews.llvm.org/D122948
2022-04-04 12:22:12 -07:00
antonio-cortes-perez c2a8a104ec [MLIR][NFC] Remove unnecessary cast.
I was reading this post:
https://www.fluentcpp.com/2017/05/19/crtp-helper/

And I noticed that most likely this cast is not needed.
Unless it is needed by some compiler versions.
I tested it with:
cmake --build . --target check-mlir

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D121555
2022-04-04 09:46:24 -07:00
Siddharth Bhat 94b372e725 [MLIR] Add booleans to dense element list in LangRef
Add boolean values as a dense element, as tested in the MLIR parser:

```
  // CHECK: "splatBoolTensor"() {bar = dense<false> : tensor<i1>} : () -> ()
  "splatBoolTensor"(){bar = dense<false> : tensor<i1>} : () -> ()
```

43d758b142/mlir/test/IR/parser.mlir (L630-L631)

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D122978
2022-04-04 21:59:44 +05:30
Daniel Resnick 2387fadea3 [mlir][capi] Add external pass creation to MLIR C-API
Adds the ability to create external passes using the C-API. This allows passes
to be written in C or languages that use the C-bindings.

Differential Revision: https://reviews.llvm.org/D121866
2022-04-04 10:27:11 -06:00
Groverkss 1483fb33b3 [MLIR][Presburger][NFC] Rename getCompatibleSpace to getSpaceWithoutLocals
Reviewed By: arjunp

Differential Revision: https://reviews.llvm.org/D122973
2022-04-02 23:39:57 +05:30
Groverkss 86f255360c [MLIR][Presburger] Make constructors from PresburgerSpace explicit
This patch makes constructors of IntegerRelation, IntegerPolyhedron,
PresburgerRelation, PresburgerSet from PresburgerSpace explicit. This
prevents bugs like:

```
void fun(IntegerRelation a, IntegerRelation b) {
  IntegerPolyhedron c = a.intersect(b);
}
```

Here, `a.intersect(b)` will return `IntegerRelation`, which will be implicitly
converted to `PresburgerSpace` and will use the `PresburgerSpace` constructor
for IntegerPolyhedron. Leading to loss of any constraints in the intersection
of `a` and `b`. After this patch, this will give a compile error.

Reviewed By: arjunp

Differential Revision: https://reviews.llvm.org/D122972
2022-04-02 18:14:38 +05:30
Arjun P fbeb0db54f [MLIR][Presburger] LexSimplex: support is{Redundant,Separate}Inequality
Add integer-exact checks for inequalities being separate and redundant in LexSimplex.

Reviewed By: Groverkss

Differential Revision: https://reviews.llvm.org/D122921
2022-04-02 12:31:17 +01:00
Arjun P 698484549a [MLIR][Presburger] Make the SimplexBase constructor protected
This is not supposed to be instantiated directly anyway.

Reviewed By: Groverkss

Differential Revision: https://reviews.llvm.org/D122923
2022-04-02 12:30:23 +01:00
River Riddle 0d8df98035 [mlir] Allow for using OpPassManager in pass options
This significantly simplifies the boilerplate necessary for passes
to define nested pass pipelines.

Differential Revision: https://reviews.llvm.org/D122880
2022-04-02 00:45:11 -07:00
River Riddle 6edef13569 [mlir:PassOption] Rework ListOption parsing and add support for std::vector/SmallVector options
ListOption currently uses llvm:🆑:list under the hood, but the usages
of ListOption are generally a tad different from llvm:🆑:list. This
commit codifies this by making ListOption implicitly comma separated,
and removes the explicit flag set for all of the current list options.
The new parsing for comma separation of ListOption also adds in support
for skipping over delimited sub-ranges (i.e. {}, [], (), "", ''). This
more easily supports nested options that use those as part of the
format, and this constraint (balanced delimiters) is already codified
in the syntax of pass pipelines.

See https://discourse.llvm.org/t/list-of-lists-pass-option/5950 for
related discussion

Differential Revision: https://reviews.llvm.org/D122879
2022-04-02 00:45:11 -07:00
jacquesguan bc37077947 [mlir][Vector] Add constant folder for extractelement.
This revision adds constant folder for vector.extractelement.

Differential Revision: https://reviews.llvm.org/D122886
2022-04-02 11:10:42 +08:00
jacquesguan 262823612d [mlir][Vector] Add constant folder for insertelement.
This revision adds constant folder for vector.insertelement.

Differential Revision: https://reviews.llvm.org/D122721
2022-04-02 10:20:19 +08:00
Jacques Pienaar ad38f409f9 [mlir] Switch debugString helper to << operator
Supports more cases.
2022-04-01 16:33:35 -07:00
Groverkss de70ff10e4 [MLIR][Presburger][NFC] Use "disjunct" to refer to disjuncts in PresburgerRelation
This patch modifies the name "integerRelations" and "relation" to refer to the
disjuncts in PresburgerRelation to "disjunct(s)".  This is done to be
consistent with the rest of the interface.

Reviewed By: arjunp

Differential Revision: https://reviews.llvm.org/D122892
2022-04-01 17:38:30 +05:30
Arjun P 31cb99959f [MLIR][Presburger] subtract: fix bug when an input set has duplicate divisions
Previously, when an input set had a duplicate division, the duplicates might
be removed by a call to mergeLocalIds due to being detected as being duplicate
for the first time. The subtraction implementation cannot handle existing
locals being removed, so this would lead to unexpected behaviour. Resolve this
by removing all the duplicates up front.

Reviewed By: Groverkss

Differential Revision: https://reviews.llvm.org/D122826
2022-04-01 12:38:45 +01:00
Arjun P acb378e21c [MLIR][Presburger] Factor out some functionality from LexSimplex into a LexSimplexBase
LexSimplex cannot be made to support symbols for symbolic lexmin; this requires
a second class. In preparation for upstreaming support for symbolic lexmin,
keep the part of LexSimplex that are specific to non-symbolic lexmin in LexSimplex
and move the parts that are required to a common class LexSimplexBase for both to
inherit from.

Reviewed By: Groverkss

Differential Revision: https://reviews.llvm.org/D122828
2022-04-01 11:54:26 +01:00
Groverkss a5a598be44 [MLIR][Presburger] Use PresburgerSpace in constructors
This patch modifies IntegerPolyhedron, IntegerRelation, PresburgerRelation,
PresburgerSet, PWMAFunction, constructors to take PresburgerSpace instead of
dimensions. This allows information present in PresburgerSpace to be carried
better and allows for a general interface.

Reviewed By: arjunp

Differential Revision: https://reviews.llvm.org/D122842
2022-04-01 15:07:26 +05:30
Peixin-Qiao 3e7415a0ff [OMPIRBuilder] Support ordered clause specified without parameter
This patch supports ordered clause specified without parameter in
worksharing-loop directive in the OpenMPIRBuilder and lowering MLIR to
LLVM IR.

Reviewed By: Meinersbur

Differential Revision: https://reviews.llvm.org/D114940
2022-04-01 16:17:29 +08:00
Mehdi Amini ba43d6f85c Revert "[GreedPatternRewriter] Preprocess constants while building worklist when not processing top down"
This reverts commit 59bbc7a085.

This exposes an issue breaking the contract of
`applyPatternsAndFoldGreedily` where we "converge" without applying
remaining patterns.
2022-04-01 06:16:55 +00:00
River Riddle 59bbc7a085 [GreedPatternRewriter] Preprocess constants while building worklist when not processing top down
This avoids accidentally reversing the order of constants during successive
application, e.g. when running the canonicalizer. This helps reduce the number
of iterations, and also avoids unnecessary changes to input IR.

Fixes #51892

Differential Revision: https://reviews.llvm.org/D122692
2022-03-31 12:08:55 -07:00