Currently the generated pass declarations have to be enabled per-pass
using multiple `GEN_PASS_DECL_{PASSNAME}` defines. This adds
`GEN_PASS_DECL`, which enables the declarations for all passes in the
group with a single macro. This is convenient for cases where a single
header is used for all passes in the group.
Reviewed By: mehdi_amini, mscuttari
Differential Revision: https://reviews.llvm.org/D134766
839b436c93
changes the behavior. Based on the discussion, we also want to support
"and" behavior. The revision changes it into two functions, bitEnumContainsAny
and bitEnumContainsAll.
Reviewed By: krzysz00, antiagainst
Differential Revision: https://reviews.llvm.org/D133507
Being the generated code macro-guarded, the autogenerated `.cpp.inc` file has been merged into the `.h.inc` to reduce the build steps.
Reviewed By: mehdi_amini, rriddle
Differential Revision: https://reviews.llvm.org/D132884
The patch addresses the linkage of the new autogenerated pass constructors, which, being declared as friend functions, resulted in having an inline nature and thus their implementations not being exported.
Reviewd By: mehdi_amini, rriddle
Differential Revision: https://reviews.llvm.org/D132572
The pass tablegen backend has been reworked to remove the monolithic nature of the autogenerated declarations.
The pass public header can be generated with the -gen-pass-decls option. It contains options structs and registrations: the inclusion of options structs can be controlled individually for each pass by defining the GEN_PASS_DECL_PASSNAME macro; the declaration of the registrations have been kept together and can still be included by defining the GEN_PASS_REGISTRATION macro.
The private code used for the pass implementation (i.e. the pass base class and the constructors definitions, if missing from tablegen) can be generated with the -gen-pass-defs option. Similarly to the declarations file, the definitions of each pass can be enabled by defining the GEN_PASS_DEF_PASNAME variable.
While doing so, the pass base class has been enriched to also accept a the aformentioned struct of options and copy them to the actual pass options, thus allowing each pass to also be configurable within C++ and not only through command line.
Reviewed By: rriddle, mehdi_amini, Mogball, jpienaar
Differential Revision: https://reviews.llvm.org/D131839
This diff updates the LLVMIR dialect Fastmath flags attribute to use recently
added features of `BitEnum` attributes. Specifically, this diff uses the bit
enum "group" case to represent the `fast` value as an alias for a combination
of other values (`ninf`, `nnan`, ...), instead of using a separate integer
value. (This is in line with LLVM's fastmath flags representation.) This diff
also leverages the `printBitEnumPrimaryGroups` `tblgen` field for concise
enum printing.
The `BitEnum` features were developed for an upcoming diff that adds `fastmath`
support to the arithmetic dialect. This diff simply applies some of the relevant
new features to the LLVM dialect attribute.
Reviewed By: ftynse, Mogball
Differential Revision: https://reviews.llvm.org/D124720
This allows for inferring the result types of operations in certain situations by using the type of
an operand. This commit allowed for automatically supporting type inference for many more
operations with no additional effort, e.g. nearly all Arithmetic operations now support
result type inferrence with no additional changes.
Differential Revision: https://reviews.llvm.org/D124581
This diff introduces a tablegen field for bit enum attributes
(`printBitEnumPrimaryGroups`) to control printing when the enum uses "group"
cases. An example would be an implementation that uses a `fastmath` enum value
as an alias for individual fastmath flags. The proposed field would allow
printing of simply `fast` for the enum value, instead of the more verbose list
that would include `fast` as well as the individual flags (e.g. `reassoc,nnan,
ninf,nsz,arcp,contract,afn,fast`).
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D123871
This diff moves `EnumAttr` tablegen definitions (specifically, `IntEnumAttr` and
`BitEnumAttr`-related classes) from `OpBase.td` to `EnumAttr.td`. No
functionality is changed.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D123551
StrEnumAttr has been deprecated in favour of EnumAttr, a solution based on AttrDef (https://reviews.llvm.org/D115181). This patch removes StrEnumAttr, along with all the custom ODS logic required to handle it.
See https://discourse.llvm.org/t/psa-stop-using-strenumattr-do-use-enumattr/5710 on how to transition to EnumAttr. In short,
```
// Before
def MyEnumAttr : StrEnumAttr<"MyEnum", "", [
StrEnumAttrCase<"A">,
StrEnumAttrCase<"B">
]>;
// After (pick an integer enum of your choice)
def MyEnum : I32EnumAttr<"MyEnum", "", [
I32EnumAttrCase<"A", 0>,
I32EnumAttrCase<"B", 1>
]> {
// Don't generate a C++ class! We want to use the AttrDef
let genSpecializedAttr = 0;
}
// Define the AttrDef
def MyEnum : EnumAttr<MyDialect, MyEnum, "my_enum">;
```
Reviewed By: rriddle, jpienaar
Differential Revision: https://reviews.llvm.org/D120834
This diff contains:
- Parameterization of bit enum attributes in OpBase.td by bit width (e.g. 32
and 64). Previously, all enums were 32-bits. This brings enum functionality in
line with other integer attributes, and allows for bit enums greater than 32
bits.
- SPIRV and Vector dialects were updated to use bit enum attributes with an
explicit bit width
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D123095
This diff modifies the tablegen specification and code generation for
BitEnumAttr attributes in MLIR Operation Definition Specification (ODS) files.
Specifically:
- there is a new tablegen class for "none" values (i.e. no bits set)
- single-bit enum cases are specified via bit index (i.e. [0, 31]) instead of
the resulting enum integer value
- there is a new tablegen class to represent a "grouped" bitwise OR of other
enum values
This diff is intended as an initial step towards improving "fastmath"
optimization support in MLIR, to allow more precise control of whether certain
floating point optimizations are applied in MLIR passes. "Fast" math options
for floating point MLIR operations would (following subsequent RFC and
discussion) be specified by using the improved enum bit support in this diff.
For example, a "fast" enum value would act as an alias for a group of other
cases (e.g. finite-math-only, no-signed-zeros, etc.), in a way that is similar
to support in C/C++ compilers (clang, gcc).
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D117029
Despite handling regions and inferred return types, the builder was never generated for ops with both InferReturnTypeOpInterface and regions.
Reviewed By: jpienaar
Differential Revision: https://reviews.llvm.org/D115525
NamedAttribute is currently represented as an std::pair, but this
creates an extremely clunky .first/.second API. This commit
converts it to a class, with better accessors (getName/getValue)
and also opens the door for more convenient API in the future.
Differential Revision: https://reviews.llvm.org/D113956
Currently DenseElementsAttr only exposes the ability to get the full range of values for a given type T, but there are many situations where we just want the beginning/end iterator. This revision adds proper value_begin/value_end methods for all of the supported T types, and also cleans up a bit of the interface.
Differential Revision: https://reviews.llvm.org/D104173
Switches to adding target specific, private includes instead of adding
global includes.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D109494
Redirect the copy ctor to the actual class instead of
overwriting it with `TypeID` based ctor.
This allows the final Pass classes to have extra fields and logic for their copy.
Reviewed By: lattner
Differential Revision: https://reviews.llvm.org/D104302
Add a feature to `EnumAttr` definition to generate
specialized Attribute class for the particular enumeration.
This class will inherit `StringAttr` or `IntegerAttr` and
will override `classof` and `getValue` methods.
With this class the enumeration predicate can be checked with simple
RTTI calls (`isa`, `dyn_cast`) and it will return the typed enumeration
directly instead of raw string/integer.
Based on the following discussion:
https://llvm.discourse.group/t/rfc-add-enum-attribute-decorator-class/2252
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D97836
This reverts commit 511dd4f438 along with
a couple fixes.
Original message:
Now the context is the first, rather than the last input.
This better matches the rest of the infrastructure and makes
it easier to move these types to being declaratively specified.
Phabricator: https://reviews.llvm.org/D96111
Now the context is the first, rather than the last input.
This better matches the rest of the infrastructure and makes
it easier to move these types to being declaratively specified.
Differential Revision: https://reviews.llvm.org/D96111
Right now constraint/predicate traits/etc. use their "description" field as a one line human readable string. This breaks the current convention, by which a "description" may be multi-line. This revision renames the "description" field in these cases to "summary" which matches what the string is actually used as. This also unbreaks the use of TypeDefs(and eventually AttrDefs) in conjunction with existing type constraint facilities like `Optional`.
Differential Revision: https://reviews.llvm.org/D94133
This better matches the rest of the infrastructure, is much simpler, and makes it easier to move these types to being declaratively specified.
Differential Revision: https://reviews.llvm.org/D93432
This is part of a larger refactoring the better congregates the builtin structures under the BuiltinDialect. This also removes the problematic "standard" naming that clashes with the "standard" dialect, which is not defined within IR/. A temporary forward is placed in StandardTypes.h to allow time for downstream users to replaced references.
Differential Revision: https://reviews.llvm.org/D92435
- Use TypeRange instead of ArrayRef<Type> where possible.
- Change some of the custom builders to also use TypeRange
Differential Revision: https://reviews.llvm.org/D87944
Its handling is similar to optional attributes, except for the
getter method.
Reviewed By: rsuderman
Differential Revision: https://reviews.llvm.org/D87055
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 ®istry) 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
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 ®istry) 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
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 ®istry) 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>()
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
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.
rkayaith