Previously, they were only defined for `FuncOp`.

To support this, `FunctionLike` needs a way to get an updated type
from the concrete operation. This adds a new hook for that purpose,
called `getTypeWithoutArgsAndResults`.

For now, `FunctionLike` continues to assume the type is
`FunctionType`, and concrete operations that use another type can hide
the `getType`, `setType`, and `getTypeWithoutArgsAndResults` methods.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D90363

Differential Revision: https://reviews.llvm.org/D90474

Differential Revision: https://reviews.llvm.org/D90567

Reviewed By: mravishankar

Differential Revision: https://reviews.llvm.org/D90655

This patch renames AffineParallelNormalize to AffineLoopNormalize to make it
more generic and be able to hold more loop normalization transformations in
the future for affine.for and affine.parallel ops. Eventually, it could also be
extended to support scf.for and scf.parallel. As a starting point for affine.for,
the patch also adds support for removing single iteration affine.for ops to the
the pass.

Differential Revision: https://reviews.llvm.org/D90267

Reviewed By: ThomasRaoux

Differential Revision: https://reviews.llvm.org/D90582

Looks like we have a blind spot in the testing matrix.

AsyncRegionRewriter.cpp: In member function ‘virtual void {anonymous}::GpuAsyncRegionPass::runOnFunction()’:
AsyncRegionRewriter.cpp:113:16: internal compiler error: in replace_placeholders_r, at cp/tree.c:2804
   if (getFunction()
       ~~~~~~~~~~~~~
           .getRegion()
           ~~~~~~~~~~~~
           .walk(Callback{OpBuilder{&getContext()}})
           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Add standard dialect operations to define global variables with memref types and to
  retrieve the memref for to a named global variable
- Extend unit tests to test verification for these operations.

Differential Revision: https://reviews.llvm.org/D90337

This is the most basic possible finalizing bufferization pass, which I
also think is sufficient for most new use cases. The more concentrated
nature of this pass also greatly clarifies the invariants that it
requires on its input to safely transform the program (see the
pass description in Passes.td).

With this pass, I have now upstreamed practically all of the
bufferizations from npcomp (the exception being std.constant, which can
be upstreamed when std.global_memref lands:
https://llvm.discourse.group/t/rfc-global-variables-in-mlir/2076/16 )

Differential Revision: https://reviews.llvm.org/D90205

Differential Revision: https://reviews.llvm.org/D90183

This commit adds a new library that merges/combines a number of spv
modules into a combined one. The library has a single entry point:
combine(...).

To combine a number of MLIR spv modules, we move all the module-level ops
from all the input modules into one big combined module. To that end, the
combination process can proceed in 2 phases:

  (1) resolving conflicts between pairs of ops from different modules
  (2) deduplicate equivalent ops/sub-ops in the merged module. (TODO)

This patch implements only the first phase.

Reviewed By: antiagainst

Differential Revision: https://reviews.llvm.org/D90477

The bufferization patterns are moved to the .cpp file, which is
preferred in the codebase when it makes sense.

The LinalgToStandard patterns are kept a header because they are
expected to be used individually. However, they are moved to
LinalgToStandard.h which is the file corresponding to where they are
defined.

This also removes TensorCastOpConverter, which is handled by
populateStdBufferizePatterns now. Eventually, the constant op lowering
will be handled as well, but it there are currently holdups on moving
it (see https://reviews.llvm.org/D89916).

Differential Revision: https://reviews.llvm.org/D90254

This reverts commit 27324f28.

Shared libs build is broken linking lib/libMLIRSPIRVModuleCombiner.so:

```
ModuleCombiner.cpp:
  undefined reference to `mlir::spirv::ModuleOp::addressing_model()
```

https://buildkite.com/mlir/mlir-core/builds/8988#e3d966b9-ea43-492e-a192-b28e71e9a15b

This commit adds a new library that merges/combines a number of spv
modules into a combined one. The library has a single entry point:
combine(...).

To combine a number of MLIR spv modules, we move all the module-level ops
from all the input modules into one big combined module. To that end, the
combination process can proceed in 2 phases:

  (1) resolving conflicts between pairs of ops from different modules
  (2) deduplicate equivalent ops/sub-ops in the merged module. (TODO)

This patch implements only the first phase.

Reviewed By: antiagainst

Differential Revision: https://reviews.llvm.org/D90477

This reverts commit 316593ce.
Build is broken with:

TestModuleCombiner.cpp:(.text._ZN12_GLOBAL__N_122TestModuleCombinerPass14runOnOperationEv+0x195): undefined reference to `mlir::spirv::combine(llvm::MutableArrayRef<mlir::spirv::ModuleOp>, mlir::OpBuilder&, llvm::function_ref<void (mlir::spirv::ModuleOp, llvm::StringRef, llvm::StringRef)>)'

This commit adds a new library that merges/combines a number of spv
modules into a combined one. The library has a single entry point:
combine(...).

To combine a number of MLIR spv modules, we move all the module-level ops
from all the input modules into one big combined module. To that end, the
combination process can proceed in 2 phases:

  (1) resolving conflicts between pairs of ops from different modules
  (2) deduplicate equivalent ops/sub-ops in the merged module. (TODO)

This patch implements only the first phase.

Reviewed By: antiagainst

Differential Revision: https://reviews.llvm.org/D90022

It is semantically equivalent, but the intent was really lost there.
This fixes a warning/error from MSVC as well, see PR48013

Fix semantic in the distribute integration test based on offline feedback. This
exposed a bug in block distribution, we need to make sure the id is multiplied
by the stride of the vector. Fix the transformation and unit test.

Differential Revision: https://reviews.llvm.org/D89291

Do not use the pass yet, except in a test.

Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D89937

This is a roll-forward of rGec7780ebdab4, now that the remaining
gpu.launch_func have been converted to custom form in rGb22f111023ba.

Reviewed By: antiagainst

Differential Revision: https://reviews.llvm.org/D90420

This reverts commit ec7780eb.

One of the bot is crashing in a test related to this change.

Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D89324

Linalg "tile-and-fuse" is currently exposed as a Linalg pass "-linalg-fusion" but only the mechanics of the transformation are currently relevant.
Instead turn it into a "-test-linalg-greedy-fusion" pass which performs canonicalizations to enable more fusions to compose.
This allows dropping the OperationFolder which is not meant to be used with the pattern rewrite infrastructure.

Differential Revision: https://reviews.llvm.org/D90394

The previous ordering continued to use the original assuming after
replacing it which is not allowed. Now, inline the region from the old
into the new before the replacement.

Differential Revision: https://reviews.llvm.org/D90375

Often times the legality of inlining can change depending on if the callable is going to be inlined in-place, or cloned. For example, some operations are not allowed to be duplicated and can only be inlined if the original callable will cease to exist afterwards. The new `wouldBeCloned` flag allows for dialects to hook into this when determining legality.

Differential Revision: https://reviews.llvm.org/D90360

In certain situations it isn't legal to inline a call operation, but this isn't something that is possible(at least not easily) to prevent with the current hooks. This revision adds a new hook so that dialects with call operations that shouldn't be inlined can prevent it.

Differential Revision: https://reviews.llvm.org/D90359

This fixes a subtle issue, described in the comment starting with
"Clone the op without the regions and inline the regions from the old op",
which prevented this conversion from working on non-trivial examples.

Differential Revision: https://reviews.llvm.org/D90203

Differential Revision: https://reviews.llvm.org/D90235

fix typos in comments and documents

Reviewed By: jpienaar

Differential Revision: https://reviews.llvm.org/D90089

Enhance tblgen's declarative assembly format to allow `attr-dict` in
custom directives.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D89772

This patch adds support for fusing linalg.indexed_generic op with
linalg.tensor_reshape op by expansion, i.e.
- linalg.indexed_generic op -> linalg.tensor_reshape op when the
  latter is expanding.
- linalg.tensor_reshape op -> linalg.indexed_generic op when the
  former is folding.

Differential Revision: https://reviews.llvm.org/D90082

Differential Revision: https://reviews.llvm.org/D90204

Reviewed By: ezhulenev

Differential Revision: https://reviews.llvm.org/D90211

This class represents a rewrite pattern list that has been frozen, and thus immutable. This replaces the uses of OwningRewritePatternList in pattern driver related API, such as dialect conversion. When PDL becomes more prevalent, this API will allow for optimizing a set of patterns once without the need to do this per run of a pass.

Differential Revision: https://reviews.llvm.org/D89104

There are several pieces of pattern rewriting infra in IR/ that really shouldn't be there. This revision moves those pieces to a better location such that they are easier to evolve in the future(e.g. with PDL). More concretely this revision does the following:

* Create a Transforms/GreedyPatternRewriteDriver.h and move the apply*andFold methods there.
The definitions for these methods are already in Transforms/ so it doesn't make sense for the declarations to be in IR.

* Create a new lib/Rewrite library and move PatternApplicator there.
This new library will be focused on applying rewrites, and will also include compiling rewrites with PDL.

Differential Revision: https://reviews.llvm.org/D89103

Adds support for
- Dropping unit dimension loops for indexed_generic ops.
- Folding consecutive folding (or expanding) reshapes when the result
  (or src) is a scalar.
- Fixes to indexed_generic -> generic fusion when zero-dim tensors are
  involved.

Differential Revision: https://reviews.llvm.org/D90118

The alignment attribute in the 'alloca' op treats the '0' value as 'unset'.
When parsing the custom form of the 'alloca' op, ignore the alignment attribute
with if its value is '0' instead of actually creating it and producing a
slightly different textually yet equivalent semantically form in the output.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D90179

Based on discourse discussion, fix the doc string and remove examples with
wrong semantic. Also fix insert_map semantic by adding missing operand for
vector we are inserting into.

Differential Revision: https://reviews.llvm.org/D89563

This revision allows the fusion of the producer of input tensors in the consumer under a tiling transformation (which produces subtensors).
Many pieces are still missing (e.g. support init_tensors, better refactor LinalgStructuredOp interface support, try to merge implementations and reuse code) but this still allows getting started.

The greedy pass itself is just for testing purposes and will be extracted in a separate test pass.

Differential revision: https://reviews.llvm.org/D89491

This has been deprecated for >1month now and removal was announced in:

https://llvm.discourse.group/t/rfc-revamp-dialect-registration/1559/11

Differential Revision: https://reviews.llvm.org/D86356