This revision allows representing a reduction at the level of linalg on tensors for generic ops by uniformizing with the named ops approach.

Instead of performing a transformation, such pass yields a new pass pipeline
to run on the currently visited operation.
This feature can be used for example to implement a sub-pipeline that
would run only on an operation with specific attributes. Another example
would be to compute a cost model and dynamic schedule a pipeline based
on the result of this analysis.

Discussion: https://llvm.discourse.group/t/rfc-dynamic-pass-pipeline/1637

Reviewed By: silvas

Differential Revision: https://reviews.llvm.org/D86392

This patch adds a utility based on SuperVectorizer to vectorize an
affine loop nest using a given vectorization strategy. This strategy allows
targeting specific loops for vectorization instead of relying of the
SuperVectorizer analysis to choose the right loops to vectorize.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D85869

See comments in https://reviews.llvm.org/D85631.

Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D86214

LLVM can deal with any integer or float type, don't arbitrarily restrict
it to f32/f64/i32/i64.

Differential Revision: https://reviews.llvm.org/D88010

This adds support for the interface and provides unambigious information
on the control flow as it is unconditional on any runtime values.
The code is tested through confirming that buffer-placement behaves as
expected.

Differential Revision: https://reviews.llvm.org/D87894

This crash only happens when a function pass is followed by a module
pass. In this case the splitting of the pass pipeline didn't handle
properly the verifier passes and ended up with an odd number of pass in
the pipeline, breaking an assumption of the local crash reproducer
executor and hitting an assertion.

Differential Revision: https://reviews.llvm.org/D88000

Vendor/device information are not resource limits. Moving to
target environment directly for better organization.

Reviewed By: mravishankar

Differential Revision: https://reviews.llvm.org/D87911

* Per thread https://llvm.discourse.group/t/revisiting-ownership-and-lifetime-in-the-python-bindings/1769
* Reworks contexts so it is always possible to get back to a py::object that holds the reference count for an arbitrary MlirContext.
* Retrofits some of the base classes to automatically take a reference to the context, elimintating keep_alives.
* More needs to be done, as discussed, when moving on to the operations/blocks/regions.

Differential Revision: https://reviews.llvm.org/D87886

Roundtripping SPIR-V modules used the same MLIRContext object for both
ways of the trip. This resulted in deserialization using a context
object already containing Types constructed during serialization.
This commit rectifies that by creating a new MLIRContext during
deserialization.

Reviewed By: mravishankar, antiagainst

Differential Revision: https://reviews.llvm.org/D87692

Add missing operands to represent copyin with readonly modifier, copyout with zero modifier
and create with zero modifier.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D87874

Following patch D87712, this patch switch AnyInteger for operands gangNum, gangStatic,
workerNum, vectoreLength and tileOperands to Index and AnyInteger.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D87848

Reviewed By: mravishankar

Differential Revision: https://reviews.llvm.org/D87887

This revision allows representing a reduction at the level of linalg on tensors for named ops. When a structured op has a reduction and returns tensor(s), new conventions are added and documented.

As an illustration, the syntax for a `linalg.matmul` writing into a buffer is:

```
  linalg.matmul ins(%a, %b : memref<?x?xf32>, tensor<?x?xf32>)
               outs(%c : memref<?x?xf32>)
```

, whereas the syntax for a `linalg.matmul` returning a new tensor is:

```
  %d = linalg.matmul ins(%a, %b : tensor<?x?xf32>, memref<?x?xf32>)
                    init(%c : memref<?x?xf32>)
                      -> tensor<?x?xf32>
```

Other parts of linalg will be extended accordingly to allow mixed buffer/tensor semantics in the presence of reductions.

This op is a catch-all for creating witnesses from various random kinds
of constraints. In particular, I when dealing with extents directly,
which are of `index` type, one can directly use std ops for calculating
the predicates, and then use cstr_require for the final conversion to a
witness.

Differential Revision: https://reviews.llvm.org/D87871

- Change OpClass new method addition to find and eliminate any existing methods that
  are made redundant by the newly added method, as well as detect if the newly added
  method will be redundant and return nullptr in that case.
- To facilitate that, add the notion of resolved and unresolved parameters, where resolved
  parameters have each parameter type known, so that redundancy checks on methods
  with same name but different parameter types can be done.
- Eliminate existing code to avoid adding conflicting/redundant build methods and rely
  on this new mechanism to eliminate conflicting build methods.

Fixes https://bugs.llvm.org/show_bug.cgi?id=47095

Differential Revision: https://reviews.llvm.org/D87059

Add support to tile affine.for ops with parametric sizes (i.e., SSA
values). Currently supports hyper-rectangular loop nests with constant
lower bounds only. Move methods

  - moveLoopBody(*)
  - getTileableBands(*)
  - checkTilingLegality(*)
  - tilePerfectlyNested(*)
  - constructTiledIndexSetHyperRect(*)

to allow reuse with constant tile size API. Add a test pass -test-affine
-parametric-tile to test parametric tiling.

Differential Revision: https://reviews.llvm.org/D87353

Add support for return values in affine.for yield along the same lines
as scf.for and affine.parallel.

Signed-off-by: Abhishek Varma <abhishek.varma@polymagelabs.com>

Differential Revision: https://reviews.llvm.org/D87437

Fold the operation if the source is a scalar constant or splat constant.

Update transform-patterns-matmul-to-vector.mlir because the broadcast ops are folded in the conversion.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D87703

This patch change the type of operands async, wait, numGangs, numWorkers and vectorLength from index
to AnyInteger to fit with acc.loop and the OpenACC specification.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D87712

Adds a pattern that replaces a chain of two tensor_cast operations by a single tensor_cast operation if doing so will not remove constraints on the shapes.

`swapId` used to be a static function in `AffineStructures.cpp`. This diff makes it accessible from the external world by turning it into a member function of `FlatAffineConstraints`. This will be very helpful for other projects that need to manipulate the content of `FlatAffineConstraints`.

Differential Revision: https://reviews.llvm.org/D87766

ConvOp vectorization supports now only convolutions of static shapes with dimensions
of size either 3(vectorized) or 1(not) as underlying vectors have to be of static
shape as well. In this commit we add support for convolutions of any size as well as
dynamic shapes by leveraging existing matmul infrastructure for tiling of both input
and kernel to sizes accepted by the previous version of ConvOp vectorization.
In the future this pass can be extended to take "tiling mask" as a user input which
will enable vectorization of user specified dimensions.

Differential Revision: https://reviews.llvm.org/D87676

These canonicalizations are already handled by folding which will occur
in a superset of situations, so they are being removed.

Differential Revision: https://reviews.llvm.org/D87706

Added GroupNonUniformBroadcastOp to spirv dialect.

Differential Revision: https://reviews.llvm.org/D87688

This patch provides C API for MLIR affine map.
- Implement C API for AffineMap class.
- Add Utils.h to include/mlir/CAPI/, and move the definition of the CallbackOstream to Utils.h to make sure mlirAffineMapPrint work correct.
- Add TODO for exposing the C API related to AffineExpr and mutable affine map.

Differential Revision: https://reviews.llvm.org/D87617

Add missing operands to represent copin with readonly modifier, copyout with zero
modifier, create with zero modifier and default clause.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D87733

Enable inlining for Linalg dialect.

Differential Revision: https://reviews.llvm.org/D87567

Numerous MLIR functions return instances of `StringRef` to refer to a
non-owning fragment of a string (usually owned by the context). This is a
relatively simple class that is defined in LLVM. Provide a simple wrapper in
the MLIR C API that contains the pointer and length of the string fragment and
use it for Standard attribute functions that return StringRef instead of the
previous, callback-based mechanism.

Reviewed By: stellaraccident

Differential Revision: https://reviews.llvm.org/D87677

Emit some more information when printing/dumping `Value`s of
`BlockArgument` kind. This is purely to help for debugging purposes.

Differential Revision: https://reviews.llvm.org/D87670

Rename 'setInsertionPointAfter(Value)' API to avoid ambiguity with
'setInsertionPointAfter(Operation *)' for SingleResult operations which
implicitly convert to Value (see D86756).

Differential Revision: https://reviews.llvm.org/D87155

Add a verifier for the loop op in the OpenACC dialect. Check basic restriction
from 2.9 Loop construct from the OpenACC 3.0 specs.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D87546

This patch adds the missing print for the vector_length in the parallel operation.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D87630

This add canonicalizer for

- extracting an element from a dynamic_tensor_from_elements
- propagating constant operands to the type of dynamic_tensor_from_elements

Differential Revision: https://reviews.llvm.org/D87525

When packing function results into a structure during the standard-to-llvm
dialect conversion, do not assume the conversion was successful and propagate
nullptr as error state.

Fixes PR45184.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D87605

Now backends spell out which namespace they want to be in, instead of relying on
clients #including them inside already-opened namespaces. This also means that
cppNamespaces should be fully qualified, and there's no implicit "::mlir::"
prepended to them anymore.

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D86811

Added support to the Std dialect cast operations to do casts in vector types when feasible.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D87410