[mlir:NFC] Remove the forward declaration of FuncOp in the mlir namespace

FuncOp has been moved to the `func` namespace for a little over a month, the
using directive can be dropped now.

[mlir] Rework the implementation of TypeID

This commit restructures how TypeID is implemented to ideally avoid
the current problems related to shared libraries. This is done by changing
the "implici

[mlir] Rework the implementation of TypeID

This commit restructures how TypeID is implemented to ideally avoid
the current problems related to shared libraries. This is done by changing
the "implicit" fallback path to use the name of the type, instead of using
a static template variable (which breaks shared libraries). The major downside to this
is that it adds some additional initialization costs for the implicit path. Given the
use of type names for uniqueness in the fallback, we also no longer allow types
defined in anonymous namespaces to have an implicit TypeID. To simplify defining
an ID for these classes, a new `MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID` macro
was added to allow for explicitly defining a TypeID directly on an internal class.

To help identify when types are using the fallback, `-debug-only=typeid` can be
used to log which types are using implicit ids.

This change generally only requires changes to the test passes, which are all defined
in anonymous namespaces, and thus can't use the fallback any longer.

Differential Revision: https://reviews.llvm.org/D122775

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[mlir] Move the Builtin FuncOp to the Func dialect

This commit moves FuncOp out of the builtin dialect, and into the Func
dialect. This move has been planned in some capacity from the moment
we made

[mlir] Move the Builtin FuncOp to the Func dialect

This commit moves FuncOp out of the builtin dialect, and into the Func
dialect. This move has been planned in some capacity from the moment
we made FuncOp an operation (years ago). This commit handles the
functional aspects of the move, but various aspects are left untouched
to ease migration: func::FuncOp is re-exported into mlir to reduce
the actual API churn, the assembly format still accepts the unqualified
`func`. These temporary measures will remain for a little while to
simplify migration before being removed.

Differential Revision: https://reviews.llvm.org/D121266

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[mlir][Pass] Deprecate FunctionPass in favor of OperationPass<FuncOp>

The only benefit of FunctionPass is that it filters out function
declarations. This isn't enough to justify carrying it around,

[mlir][Pass] Deprecate FunctionPass in favor of OperationPass<FuncOp>

The only benefit of FunctionPass is that it filters out function
declarations. This isn't enough to justify carrying it around, as we can
simplify filter out declarations when necessary within the pass. We can
also explore with better scheduling primitives to filter out declarations
at the pipeline level in the future.

The definition of FunctionPass is left intact for now to allow time for downstream
users to migrate.

Differential Revision: https://reviews.llvm.org/D117182

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Adjust "end namespace" comment in MLIR to match new agree'd coding style

See D115115 and this mailing list discussion:
https://lists.llvm.org/pipermail/llvm-dev/2021-December/154199.html

Differenti

Adjust "end namespace" comment in MLIR to match new agree'd coding style

See D115115 and this mailing list discussion:
https://lists.llvm.org/pipermail/llvm-dev/2021-December/154199.html

Differential Revision: https://reviews.llvm.org/D115309

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[mlir][spirv] Change the return type for {Min|Max}VersionBase

For synthesizing an op's implementation of the generated interface
from {Min|Max}Version, we need to define an `initializer` and
`mergeA

[mlir][spirv] Change the return type for {Min|Max}VersionBase

For synthesizing an op's implementation of the generated interface
from {Min|Max}Version, we need to define an `initializer` and
`mergeAction`. The `initializer` specifies the initial version,
and `mergeAction` specifies how version specifications from
different parts of the op should be merged to generate a final
version requirements.

Previously we use the specified version enum as the type for both
the initializer and thus the final return type. This means we need
to perform `static_cast` over some hopefully not used number (`~0u`)
as the initializer. This is quite opaque and sort of not guaranteed
to work. Also, there are ops that have an enum attribute where some
values declare version requirements (e.g., enumerant `B` requires
v1.1+) but some not (e.g., enumerant `A` requires nothing). Then a
concrete op instance with `A` will still declare it implements the
version interface (because interface implementation is static for
an op) but actually theirs no requirements for version.

So this commit changes to use an more explicit `llvm::Optional`
to wrap around the returned version enum. This should make it
more clear.

Reviewed By: jpienaar

Differential Revision: https://reviews.llvm.org/D108312

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Migrate MLIR test passes to the new registration API

Make sure they all define getArgument()/getDescription().

Depends On D104421

Differential Revision: https://reviews.llvm.org/D104426

[mlir][spirv] Add utilities for push constant value

This commit add utility functions for creating push constant
storage variable and loading values from it.

Along the way, performs some clean up:

[mlir][spirv] Add utilities for push constant value

This commit add utility functions for creating push constant
storage variable and loading values from it.

Along the way, performs some clean up:

* Deleted `setABIAttrs`, which is just a 4-liner function
with one user.
* Moved `SPIRVConverstionTarget` into `mlir` namespace,
to be consistent with `SPIRVTypeConverter` and
`LLVMConversionTarget`.

Reviewed By: mravishankar

Differential Revision: https://reviews.llvm.org/D99725

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[mlir][Pattern] Add better support for using interfaces/traits to match root operations in rewrite patterns

To match an interface or trait, users currently have to use the `MatchAny` tag. This tag c

[mlir][Pattern] Add better support for using interfaces/traits to match root operations in rewrite patterns

To match an interface or trait, users currently have to use the `MatchAny` tag. This tag can be quite problematic for compile time for things like the canonicalizer, as the `MatchAny` patterns may get applied to *every* operation. This revision adds better support by bucketing interface/trait patterns based on which registered operations have them registered. This means that moving forward we will only attempt to match these patterns to operations that have this interface registered. Two simplify defining patterns that match traits and interfaces, two new utility classes have been added: OpTraitRewritePattern and OpInterfaceRewritePattern.

Differential Revision: https://reviews.llvm.org/D98986

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[PatternMatch] Big mechanical rename OwningRewritePatternList -> RewritePatternSet and insert -> add. NFC

This doesn't change APIs, this just cleans up the many in-tree uses of these
names to use t

[PatternMatch] Big mechanical rename OwningRewritePatternList -> RewritePatternSet and insert -> add. NFC

This doesn't change APIs, this just cleans up the many in-tree uses of these
names to use the new preferred names. We'll keep the old names around for a
couple weeks to help transitions.

Differential Revision: https://reviews.llvm.org/D99127

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Change OwningRewritePatternList to carry an MLIRContext with it.

This updates the codebase to pass the context when creating an instance of
OwningRewritePatternList, and starts removing extraneous M

Change OwningRewritePatternList to carry an MLIRContext with it.

This updates the codebase to pass the context when creating an instance of
OwningRewritePatternList, and starts removing extraneous MLIRContext
parameters. There are many many more to be removed.

Differential Revision: https://reviews.llvm.org/D99028

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[mlir][spirv] NFC: Shuffle code around to better follow convention

This commit shuffles SPIR-V code around to better follow MLIR
convention. Specifically,

* Created IR/, Transforms/, Linking/, and

[mlir][spirv] NFC: Shuffle code around to better follow convention

This commit shuffles SPIR-V code around to better follow MLIR
convention. Specifically,

* Created IR/, Transforms/, Linking/, and Utils/ subdirectories and
moved suitable code inside.
* Created SPIRVEnums.{h|cpp} for SPIR-V C/C++ enums generated from
SPIR-V spec. Previously they are cluttered inside SPIRVTypes.{h|cpp}.
* Fixed include guards in various header files (both .h and .td).
* Moved serialization tests under test/Target/SPIRV.
* Renamed TableGen backend -gen-spirv-op-utils into -gen-spirv-attr-utils
as it is only generating utility functions for attributes.

Reviewed By: mravishankar

Differential Revision: https://reviews.llvm.org/D93407

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Add `Operation* OpState::operator->()` to provide more convenient access to members of Operation.

Given that OpState already implicit converts to Operator*, this seems reasonable.

The alternative w

Add `Operation* OpState::operator->()` to provide more convenient access to members of Operation.

Given that OpState already implicit converts to Operator*, this seems reasonable.

The alternative would be to add more functions to OpState which forward to Operation.

Reviewed By: rriddle, ftynse

Differential Revision: https://reviews.llvm.org/D92266

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[mlir][BuiltinDialect] Resolve comments from D91571

* Move ops to a BuiltinOps.h
* Add file comments

[mlir][NFC] Remove references to Module.h and Function.h

These includes have been deprecated in favor of BuiltinDialect.h, which contains the definitions of ModuleOp and FuncOp.

Differential Revisi

[mlir][NFC] Remove references to Module.h and Function.h

These includes have been deprecated in favor of BuiltinDialect.h, which contains the definitions of ModuleOp and FuncOp.

Differential Revision: https://reviews.llvm.org/D91572

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[mlir][Pattern] Add a new FrozenRewritePatternList class

This class represents a rewrite pattern list that has been frozen, and thus immutable. This replaces the uses of OwningRewritePatternList in

[mlir][Pattern] Add a new FrozenRewritePatternList class

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

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Separate the Registration from Loading dialects in the Context

This changes the behavior of constructing MLIRContext to no longer load globally
registered dialects on construction. Instead Dialects

Separate the Registration from Loading dialects in the Context

This changes the behavior of constructing MLIRContext to no longer load globally
registered dialects on construction. Instead Dialects are only loaded explicitly
on demand:
- the Parser is lazily loading Dialects in the context as it encounters them
during parsing. This is the only purpose for registering dialects and not load
them in the context.
- Passes are expected to declare the dialects they will create entity from
(Operations, Attributes, or Types), and the PassManager is loading Dialects into
the Context when starting a pipeline.

This changes simplifies the configuration of the registration: a compiler only
need to load the dialect for the IR it will emit, and the optimizer is
self-contained and load the required Dialects. For example in the Toy tutorial,
the compiler only needs to load the Toy dialect in the Context, all the others
(linalg, affine, std, LLVM, ...) are automatically loaded depending on the
optimization pipeline enabled.

To adjust to this change, stop using the existing dialect registration: the
global registry will be removed soon.

1) For passes, you need to override the method:

virtual void getDependentDialects(DialectRegistry &registry) const {}

and registery on the provided registry any dialect that this pass can produce.
Passes defined in TableGen can provide this list in the dependentDialects list
field.

2) For dialects, on construction you can register dependent dialects using the
provided MLIRContext: `context.getOrLoadDialect<DialectName>()`
This is useful if a dialect may canonicalize or have interfaces involving
another dialect.

3) For loading IR, dialect that can be in the input file must be explicitly
registered with the context. `MlirOptMain()` is taking an explicit registry for
this purpose. See how the standalone-opt.cpp example is setup:

mlir::DialectRegistry registry;
registry.insert<mlir::standalone::StandaloneDialect>();
registry.insert<mlir::StandardOpsDialect>();

Only operations from these two dialects can be in the input file. To include all
of the dialects in MLIR Core, you can populate the registry this way:

mlir::registerAllDialects(registry);

4) For `mlir-translate` callback, as well as frontend, Dialects can be loaded in
the context before emitting the IR: context.getOrLoadDialect<ToyDialect>()

Differential Revision: https://reviews.llvm.org/D85622

show more ...

Revert "Separate the Registration from Loading dialects in the Context"

This reverts commit d14cf45735b0d09d7d3caf0824779520dd20ef10.
The build is broken with GCC-5.

Separate the Registration from Loading dialects in the Context

This changes the behavior of constructing MLIRContext to no longer load globally
registered dialects on construction. Instead Dialects

Separate the Registration from Loading dialects in the Context

This changes the behavior of constructing MLIRContext to no longer load globally
registered dialects on construction. Instead Dialects are only loaded explicitly
on demand:
- the Parser is lazily loading Dialects in the context as it encounters them
during parsing. This is the only purpose for registering dialects and not load
them in the context.
- Passes are expected to declare the dialects they will create entity from
(Operations, Attributes, or Types), and the PassManager is loading Dialects into
the Context when starting a pipeline.

This changes simplifies the configuration of the registration: a compiler only
need to load the dialect for the IR it will emit, and the optimizer is
self-contained and load the required Dialects. For example in the Toy tutorial,
the compiler only needs to load the Toy dialect in the Context, all the others
(linalg, affine, std, LLVM, ...) are automatically loaded depending on the
optimization pipeline enabled.

To adjust to this change, stop using the existing dialect registration: the
global registry will be removed soon.

1) For passes, you need to override the method:

virtual void getDependentDialects(DialectRegistry &registry) const {}

and registery on the provided registry any dialect that this pass can produce.
Passes defined in TableGen can provide this list in the dependentDialects list
field.

2) For dialects, on construction you can register dependent dialects using the
provided MLIRContext: `context.getOrLoadDialect<DialectName>()`
This is useful if a dialect may canonicalize or have interfaces involving
another dialect.

3) For loading IR, dialect that can be in the input file must be explicitly
registered with the context. `MlirOptMain()` is taking an explicit registry for
this purpose. See how the standalone-opt.cpp example is setup:

mlir::DialectRegistry registry;
registry.insert<mlir::standalone::StandaloneDialect>();
registry.insert<mlir::StandardOpsDialect>();

Only operations from these two dialects can be in the input file. To include all
of the dialects in MLIR Core, you can populate the registry this way:

mlir::registerAllDialects(registry);

4) For `mlir-translate` callback, as well as frontend, Dialects can be loaded in
the context before emitting the IR: context.getOrLoadDialect<ToyDialect>()

Differential Revision: https://reviews.llvm.org/D85622

show more ...

Revert "Separate the Registration from Loading dialects in the Context"

This reverts commit e1de2b75501e5eaf8777bd5248382a7c55a44fd6.
Broke a build bot.

Separate the Registration from Loading dialects in the Context

This changes the behavior of constructing MLIRContext to no longer load globally
registered dialects on construction. Instead Dialects

Separate the Registration from Loading dialects in the Context

This changes the behavior of constructing MLIRContext to no longer load globally
registered dialects on construction. Instead Dialects are only loaded explicitly
on demand:
- the Parser is lazily loading Dialects in the context as it encounters them
during parsing. This is the only purpose for registering dialects and not load
them in the context.
- Passes are expected to declare the dialects they will create entity from
(Operations, Attributes, or Types), and the PassManager is loading Dialects into
the Context when starting a pipeline.

This changes simplifies the configuration of the registration: a compiler only
need to load the dialect for the IR it will emit, and the optimizer is
self-contained and load the required Dialects. For example in the Toy tutorial,
the compiler only needs to load the Toy dialect in the Context, all the others
(linalg, affine, std, LLVM, ...) are automatically loaded depending on the
optimization pipeline enabled.

To adjust to this change, stop using the existing dialect registration: the
global registry will be removed soon.

1) For passes, you need to override the method:

virtual void getDependentDialects(DialectRegistry &registry) const {}

and registery on the provided registry any dialect that this pass can produce.
Passes defined in TableGen can provide this list in the dependentDialects list
field.

2) For dialects, on construction you can register dependent dialects using the
provided MLIRContext: `context.getOrLoadDialect<DialectName>()`
This is useful if a dialect may canonicalize or have interfaces involving
another dialect.

3) For loading IR, dialect that can be in the input file must be explicitly
registered with the context. `MlirOptMain()` is taking an explicit registry for
this purpose. See how the standalone-opt.cpp example is setup:

mlir::DialectRegistry registry;
mlir::registerDialect<mlir::standalone::StandaloneDialect>();
mlir::registerDialect<mlir::StandardOpsDialect>();

Only operations from these two dialects can be in the input file. To include all
of the dialects in MLIR Core, you can populate the registry this way:

mlir::registerAllDialects(registry);

4) For `mlir-translate` callback, as well as frontend, Dialects can be loaded in
the context before emitting the IR: context.getOrLoadDialect<ToyDialect>()

show more ...

Revert "Separate the Registration from Loading dialects in the Context"

This reverts commit 20563933875a9396c8ace9c9770ecf6a988c4ea6.

Build is broken on a few bots

Separate the Registration from Loading dialects in the Context

This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects

Separate the Registration from Loading dialects in the Context

This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects are only loaded explicitly on demand:
- the Parser is lazily loading Dialects in the context as it encounters them during parsing. This is the only purpose for registering dialects and not load them in the context.
- Passes are expected to declare the dialects they will create entity from (Operations, Attributes, or Types), and the PassManager is loading Dialects into the Context when starting a pipeline.

This changes simplifies the configuration of the registration: a compiler only need to load the dialect for the IR it will emit, and the optimizer is self-contained and load the required Dialects. For example in the Toy tutorial, the compiler only needs to load the Toy dialect in the Context, all the others (linalg, affine, std, LLVM, ...) are automatically loaded depending on the optimization pipeline enabled.

Differential Revision: https://reviews.llvm.org/D85622

show more ...

Revert "Separate the Registration from Loading dialects in the Context"

This was landed by accident, will reland with the right comments
addressed from the reviews.
Also revert dependent build fixes.

Separate the Registration from Loading dialects in the Context

This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects

Separate the Registration from Loading dialects in the Context

This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects are only loaded explicitly on demand:
- the Parser is lazily loading Dialects in the context as it encounters them during parsing. This is the only purpose for registering dialects and not load them in the context.
- Passes are expected to declare the dialects they will create entity from (Operations, Attributes, or Types), and the PassManager is loading Dialects into the Context when starting a pipeline.

This changes simplifies the configuration of the registration: a compiler only need to load the dialect for the IR it will emit, and the optimizer is self-contained and load the required Dialects. For example in the Toy tutorial, the compiler only needs to load the Toy dialect in the Context, all the others (linalg, affine, std, LLVM, ...) are automatically loaded depending on the optimization pipeline enabled.

show more ...