[mlir] Refactor the Parser library in preparation for an MLIR binary format

The current Parser library is solely focused on providing API for
the textual MLIR format, but MLIR will soon also provide

[mlir] Refactor the Parser library in preparation for an MLIR binary format

The current Parser library is solely focused on providing API for
the textual MLIR format, but MLIR will soon also provide a binary
format. This commit renames the current Parser library to AsmParser to
better correspond to what the library is actually intended for. A new
Parser library is added which will act as a unified parser interface
between both text and binary formats. Most parser clients are
unaffected, given that the unified interface is essentially the same as
the current interface. Only clients that rely on utilizing the
AsmParserState, or those that want to parse Attributes/Types need to be
updated to point to the AsmParser library.

Differential Revision: https://reviews.llvm.org/D129605

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[mlir] Transform dialect: separate dependent and generated dialects

In the Transform dialect extensions, provide the separate mechanism to
declare dependent dialects (the dialects the transform IR d

[mlir] Transform dialect: separate dependent and generated dialects

In the Transform dialect extensions, provide the separate mechanism to
declare dependent dialects (the dialects the transform IR depends on)
and the generated dialects (the dialects the payload IR may be
transformed into). This allows the Transform dialect clients that are
only constructing the transform IR to avoid loading the dialects
relevant for the payload IR along with the Transform dialect itself,
thus decreasing the build/link time.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D130289

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[mlir] Use value instead of getValue (NFC)

Use has_value instead of hasValue (NFC)

[mlir][linalg] Add attribute matcher to structured.match transform op

This is useful for building small test cases and will be utilized in a subsequent commit that adds a fusion example.

Differenti

[mlir][linalg] Add attribute matcher to structured.match transform op

This is useful for building small test cases and will be utilized in a subsequent commit that adds a fusion example.

Differential Revision: https://reviews.llvm.org/D130344

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[mlir][linalg][transform] Add fuse_into_containing op

This op fuses a given payload op into a given container op. Inside the container, all uses of the producer are replaced (fused) with the newly i

[mlir][linalg][transform] Add fuse_into_containing op

This op fuses a given payload op into a given container op. Inside the container, all uses of the producer are replaced (fused) with the newly inserted op. If the producer is tileable and accessed via a tensor.extract_slice, the new op computes only the requested slice ("tile and fuse"). Otherwise, the entire tensor value is computed inside the container ("clone and fuse").

Differential Revision: https://reviews.llvm.org/D130244

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[mlir][linalg] Add tile_size option to `structured.tile_to_foreach_thread_op`

This change modifies `structured.tile_to_foreach_thread_op` so that
it accepts either `tile_sizes` or `num_threads` para

[mlir][linalg] Add tile_size option to `structured.tile_to_foreach_thread_op`

This change modifies `structured.tile_to_foreach_thread_op` so that
it accepts either `tile_sizes` or `num_threads` parameters. If
`tile_sizes` are specified, then the number of threads required is
derived the tile sizes rather than the other way around. In both cases,
more aggressive folding of loop parameters is enabled during the
transformation, allowing for the potential elimination of `affine.min`
and `affine.max` operations in the static shape case when calculating
the final adjusted tile size.

Differential Revision: https://reviews.llvm.org/D130139

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[mlir][Linalg] Add a Transform dialect NavigationOp op to match a list of ops or an interface.

This operation is a NavigationOp that simplifies the writing of transform IR.
Since there is no way of

[mlir][Linalg] Add a Transform dialect NavigationOp op to match a list of ops or an interface.

This operation is a NavigationOp that simplifies the writing of transform IR.
Since there is no way of refering to an interface by name, the current implementation uses
an EnumAttr and depends on the interfaces it supports.
In the future, it would be worthwhile to remove this dependence and generalize.

Differential Revision: https://reviews.llvm.org/D130267

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[mlir][Linalg] Add a TileToForeachThread transform.

This revision adds a new transformation to tile a TilingInterface `op` to a tiled `scf.foreach_thread`, applying
tiling by `num_threads`.
If non-e

[mlir][Linalg] Add a TileToForeachThread transform.

This revision adds a new transformation to tile a TilingInterface `op` to a tiled `scf.foreach_thread`, applying
tiling by `num_threads`.
If non-empty, the `threadDimMapping` is added as an attribute to the resulting `scf.foreach_thread`.
0-tile sizes (i.e. tile by the full size of the data) are used to encode
that a dimension is not tiled.

Differential Revision: https://reviews.llvm.org/D129577

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