[mlir] Use `llvm::filter_to_vector`. NFC. (#117655)

This got recently added to SmallVectorExtras:
https://github.com/llvm/llvm-project/pull/117460.

[mlir][llvm] Add support for memset.inline (#115711)

support `llvm.intr.memset.inline` in llvm-project repo before we add
support for `__builtin_memset_inline` in clangir

cc @bcardosolopes

[mlir][LLVM] Convert `noalias` parameters into alias scopes during inlining

Currently, inlining a function with a `noalias` parameter leads to a large loss of optimization potential as the `noalias`

[mlir][LLVM] Convert `noalias` parameters into alias scopes during inlining

Currently, inlining a function with a `noalias` parameter leads to a large loss of optimization potential as the `noalias` parameter, an important hint for alias analysis, is lost completely.

This patch fixes this with the same approach as LLVM by annotating all users of the `noalias` parameter with appropriate alias and noalias scope lists.
The implementation done here is not as sophisticated as LLVMs, which has more infrastructure related to escaping and captured pointers, but should work in the majority of important cases.
Any deficiency can be addressed in future patches.

Related LLVM code: https://github.com/llvm/llvm-project/blob/27ade4b554774187d2c0afcf64cd16fa6d5f619d/llvm/lib/Transforms/Utils/InlineFunction.cpp#L1090

Differential Revision: https://reviews.llvm.org/D155712

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[mlir][flang] Convert TBAA metadata to an attribute representation

The current representation of TBAA is the very last in-tree user of the `llvm.metadata` operation.
Using ops to model metadata has

[mlir][flang] Convert TBAA metadata to an attribute representation

The current representation of TBAA is the very last in-tree user of the `llvm.metadata` operation.
Using ops to model metadata has a few disadvantages:
* Building a graph has to be done through some weakly typed indirection mechanism such as `SymbolRefAttr`
* Creating the metadata has to be done through a builder within a metadata op.
* It is not multithreading safe as operation insertion into the same block is not thread-safe

This patch therefore converts TBAA metadata into an attribute representation, in a similar manner as it has been done for alias groups and access groups in previous patches.

This additionally has the large benefit of giving us more "correctness by construction" as it makes things like cycles in a TBAA graph, or references to an incorrectly typed metadata node impossible.

Differential Revision: https://reviews.llvm.org/D155444

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[mlir][LLVM] Convert access group metadata to using attributes instead of ops

Using MLIR attributes instead of metadata has many advantages:
* No indirection: Attributes can simply refer to each oth

[mlir][LLVM] Convert access group metadata to using attributes instead of ops

Using MLIR attributes instead of metadata has many advantages:
* No indirection: Attributes can simply refer to each other seemlessly without having to use the indirection of `SymbolRefAttr`. This also gives us correctness by construction in a lot of places as well
* Multithreading safe: The Attribute infrastructure gives us thread-safety for free. Creating operations and inserting them into a block is not thread-safe. This is a major use case for e.g. the inliner in MLIR which runs in parallel
* Easier to create: There is no need for a builder or a metadata region

This patch therefore does exactly that. It leverages the new distinct attributes to create distinct access groups in a deterministic and threadsafe manner.

Differential Revision: https://reviews.llvm.org/D155285

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[mlir][LLVM] Convert alias metadata to using attributes instead of ops

Using MLIR attributes instead of metadata has many advantages:
* No indirection: Attributes can simply refer to each other seem

[mlir][LLVM] Convert alias metadata to using attributes instead of ops

Using MLIR attributes instead of metadata has many advantages:
* No indirection: Attributes can simply refer to each other seemlessly without having to use the indirection of `SymbolRefAttr`. This also gives us correctness by construction in a lot of places as well
* Multithreading save: The Attribute infrastructure gives us thread-safety for free. Creating operations and inserting them into a block is not thread-safe. This is a major use case for e.g. the inliner in MLIR which runs in parallel
* Easier to create: There is no need for a builder or a metadata region

This patch therefore does exactly that. It leverages the new distinct attributes to create distinct alias domains and scopes in a deterministic and threadsafe manner.

Differential Revision: https://reviews.llvm.org/D155159

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[mlir] Update method cast calls to function calls

The MLIR classes Type/Attribute/Operation/Op/Value support
cast/dyn_cast/isa/dyn_cast_or_null functionality through llvm's doCast
functionality in a

[mlir] Update method cast calls to function calls

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

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[mlir][llvm] Add AliasAnalysis and AccessGroup interfaces.

The revision introduces two interfaces that provide access to
the alias analysis and access group metadata attributes. The
AliasAnalysis in

[mlir][llvm] Add AliasAnalysis and AccessGroup interfaces.

The revision introduces two interfaces that provide access to
the alias analysis and access group metadata attributes. The
AliasAnalysis interface combines all alias analysis related
attributes (alias, noalias, and tbaa) similar to LLVM's getAAMetadata
method, while the AccessGroup interface is dedicated to the
access group metadata.

Previously, only the load and store operations supported alias analysis
and access group metadata. This revision extends this support to the
atomic operations. A follow up revision will also add support for the
memcopy, memset, and memove intrinsics. The interfaces then provide
convenient access to the metadata attributes and eliminate the need
of TypeSwitch or string based attribute access.

The revision still relies on string based attribute access for
the translation to LLVM IR (except for tbaa metadata). Only once
the the memory access intrinsics also implement the new interfaces,
the translation to LLVM IR can be fully switched to use interface
based attribute accesses.

Depends on D144875

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D144851

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