[mlir][vector] Add more tests for ConvertVectorToLLVM (1/n) (#101936)

Adds tests with scalable vectors for the Vector-To-LLVM conversion pass.
Covers the following Ops:
* vector.bitcast
* vec

[mlir][vector] Add more tests for ConvertVectorToLLVM (1/n) (#101936)

Adds tests with scalable vectors for the Vector-To-LLVM conversion pass.
Covers the following Ops:
* vector.bitcast
* vector.broadcast

Note, this has uncovered some missing logic in `BroadcastOpLowering`.
This PR fixes the most basic cases where the scalable flags were dropped
and the generated code was incorrect. Also, the conditions in
`vector::isBroadcastableTo` are relaxed to allow cases like this:
```mlir
%0 = vector.broadcast %arg0 : vector<1xf32> to vector<[4]xf32>
```

The `BroadcastOpLowering` pattern is effectively disabled for scalable
vectors in more complex cases where an SCF loop would be required to
loop over the scalable dims, e.g.:
```mlir
%0 = vector.broadcast %arg0 : vector<[4]x1x2xf32> to vector<[4]x3x2xf32>
```

These cases are marked as "Stretch not at start" in the code. In those
cases, support for scalable vectors is left as a TODO.

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mlir/LogicalResult: move into llvm (#97309)

This patch is part of a project to move the Presburger library into
LLVM.

[mlir][vector] Fix vector.broadcast lowering for scalable vectors (#66344)

This patch makes sure that the following case is lowered correctly
("duplication"):
```
func.func @broadcast_scalable_dup

[mlir][vector] Fix vector.broadcast lowering for scalable vectors (#66344)

This patch makes sure that the following case is lowered correctly
("duplication"):
```
func.func @broadcast_scalable_duplication(%arg0: vector<[32]xf32>) -> vector<1x[32]xf32> {
%res = vector.broadcast %arg0 : vector<[32]xf32> to vector<1x[32]xf32>
return %res : vector<1x[32]xf32>
}
```

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[mlir] Move casting calls from methods 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
functionali

[mlir] Move casting calls from methods 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.

Caveats include:
- This clang-tidy script probably has more problems.
- This only touches C++ code, so nothing that is being generated.

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 first patch was created with the following steps. The intention is
to only do automated changes at first, so I waste less time if it's
reverted, and so the first mass change is more clear as an example to
other teams that will need to follow similar steps.

Steps are described per line, as comments are removed by git:
0. Retrieve the change from the following to build clang-tidy with an
additional check:
https://github.com/llvm/llvm-project/compare/main...tpopp:llvm-project:tidy-cast-check
1. Build clang-tidy
2. Run clang-tidy over your entire codebase while disabling all checks
and enabling the one relevant one. Run on all header files also.
3. Delete .inc files that were also modified, so the next build rebuilds
them to a pure state.
4. Some changes have been deleted for the following reasons:
- Some files had a variable also named cast
- Some files had not included a header file that defines the cast
functions
- Some files are definitions of the classes that have the casting
methods, so the code still refers to the method instead of the
function without adding a prefix or removing the method declaration
at the same time.

```
ninja -C $BUILD_DIR clang-tidy

run-clang-tidy -clang-tidy-binary=$BUILD_DIR/bin/clang-tidy -checks='-*,misc-cast-functions'\
-header-filter=mlir/ mlir/* -fix

rm -rf $BUILD_DIR/tools/mlir/**/*.inc

git restore mlir/lib/IR mlir/lib/Dialect/DLTI/DLTI.cpp\
mlir/lib/Dialect/Complex/IR/ComplexDialect.cpp\
mlir/lib/**/IR/\
mlir/lib/Dialect/SparseTensor/Transforms/SparseVectorization.cpp\
mlir/lib/Dialect/Vector/Transforms/LowerVectorMultiReduction.cpp\
mlir/test/lib/Dialect/Test/TestTypes.cpp\
mlir/test/lib/Dialect/Transform/TestTransformDialectExtension.cpp\
mlir/test/lib/Dialect/Test/TestAttributes.cpp\
mlir/unittests/TableGen/EnumsGenTest.cpp\
mlir/test/python/lib/PythonTestCAPI.cpp\
mlir/include/mlir/IR/
```

Differential Revision: https://reviews.llvm.org/D150123

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[mlir][Vector] NFC - Reorganize vector patterns

Vector dialect patterns have grown enormously in the past year to a point where they are now impenetrable.
Start reorganizing them towards finer-grain

[mlir][Vector] NFC - Reorganize vector patterns

Vector dialect patterns have grown enormously in the past year to a point where they are now impenetrable.
Start reorganizing them towards finer-grained control.

Differential Revision: https://reviews.llvm.org/D146736

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