This support has never really worked well, and is incredibly clunky to
use (it effectively creates two argument APIs), and clunky to generate (it isn't
clear how we should actually expose this from PDL frontends). Treating these
as just attribute arguments is much much cleaner in every aspect of the stack.
If we need to optimize lots of constant parameters, it would be better to
investigate internal representation optimizations (e.g. batch attribute creation),
that do not affect the user (we want a clean external API).
Differential Revision: https://reviews.llvm.org/D121569
This commit adds detailed documentation for PDLL, its language design, and
captures a bit of the rationale. This document captures everything in-tree at present,
and is intended to be an all encompassing manual for interacting with and understanding
PDLL.
Differential Revision: https://reviews.llvm.org/D119903
This removes any potential confusion with the `getType` accessors
which correspond to SSA results of an operation, and makes it
clear what the intent is (i.e. to represent the type of the function).
Differential Revision: https://reviews.llvm.org/D121762
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
FuncOp is being moved out of the builtin dialect, and defining a custom
toy operation showcases various aspects of defining function-like operation
(e.g. inlining, passes, etc.).
Differential Revision: https://reviews.llvm.org/D121264
The current documentation is super old, crusty, and at times wrong. This commit
rewrites the documentation to focus on the TableGen declarative definition,
expounds on various components, and moves the doc out of Tutorials/ and into
a new top level `AttributesAndTypes.md` doc. As part of this, the AttrDef/TypeDef
documentation in OpDefinitions.md is removed.
Differential Revision: https://reviews.llvm.org/D120011
This patch adds support for custom directives in attribute and type formats. Custom directives dispatch calls to user-defined parser and printer functions.
For example, the assembly format "custom<Foo>($foo, ref($bar))" expects a function with the signature
```
LogicalResult parseFoo(AsmParser &parser, FailureOr<FooT> &foo, BarT bar);
void printFoo(AsmPrinter &printer, FooT foo, BarT bar);
```
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D120944
In this CL, update the function name of verifier according to the
behavior. If a verifier needs to access the region then it'll be updated
to `verifyRegions`.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D120373
Extend OpDSL with a `defines` method that can set the `hasCanonicalizer` flag for an OpDSL operation. If the flag is set via `defines(Canonicalizer)` the operation needs to implement the `getCanonicalizationPatterns` method. The revision specifies the flag for linalg.fill_tensor and adds an empty `FillTensorOp::getCanonicalizationPatterns` implementation.
This revision is a preparation step to replace linalg.fill by its OpDSL counterpart linalg.fill_tensor. The two are only functionally equivalent if both specify the same canonicalization patterns. The revision is thus a prerequisite for the linalg.fill replacement.
Depends On D120725
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D120726
The current StandardToLLVM conversion patterns only really handle
the Func dialect. The pass itself adds patterns for Arithmetic/CFToLLVM, but
those should be/will be split out in a followup. This commit focuses solely
on being an NFC rename.
Aside from the directory change, the pattern and pass creation API have been renamed:
* populateStdToLLVMFuncOpConversionPattern -> populateFuncToLLVMFuncOpConversionPattern
* populateStdToLLVMConversionPatterns -> populateFuncToLLVMConversionPatterns
* createLowerToLLVMPass -> createConvertFuncToLLVMPass
Differential Revision: https://reviews.llvm.org/D120778
This patch fixes the crash when printing some ops (like affine.for and
scf.for) when they are dumped in invalid state, e.g. during pattern
application. Now the AsmState constructor verifies the operation
first and switches to generic operation printing when the verification
fails. Also operations are now printed in generic form when emitting
diagnostics and the severity level is Error.
Reviewed By: rriddle, mehdi_amini
Differential Revision: https://reviews.llvm.org/D117834
StandardToSPIRV currently contains an assortment of patterns converting from
different dialects to SPIRV. This commit splits up StandardToSPIRV into separate
conversions for each of the dialects involved (some of which already exist).
Differential Revision: https://reviews.llvm.org/D120767
Add support for extensible dialects, which are dialects that can be
extended at runtime with new operations and types.
These operations and types cannot at the moment implement traits
or interfaces.
Differential Revision: https://reviews.llvm.org/D104554
The last remaining operations in the standard dialect all revolve around
FuncOp/function related constructs. This patch simply handles the initial
renaming (which by itself is already huge), but there are a large number
of cleanups unlocked/necessary afterwards:
* Removing a bunch of unnecessary dependencies on Func
* Cleaning up the From/ToStandard conversion passes
* Preparing for the move of FuncOp to the Func dialect
See the discussion at https://discourse.llvm.org/t/standard-dialect-the-final-chapter/6061
Differential Revision: https://reviews.llvm.org/D120624
The revision renames the following OpDSL functions:
```
TypeFn.cast -> TypeFn.cast_signed
BinaryFn.min -> BinaryFn.min_signed
BinaryFn.max -> BinaryFn.max_signed
```
The corresponding enum values on the C++ side are renamed accordingly:
```
#linalg.type_fn<cast> -> #linalg.type_fn<cast_signed>
#linalg.binary_fn<min> -> #linalg.binary_fn<min_signed>
#linalg.binary_fn<max> -> #linalg.binary_fn<max_signed>
```
Depends On D120110
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D120562
The revision extends OpDSL with unary and binary function attributes. A function attribute, makes the operations used in the body of a structured operation configurable. For example, a pooling operation may take an aggregation function attribute that specifies if the op shall implement a min or a max pooling. The goal of this revision is to define less and more flexible operations.
We may thus for example define an element wise op:
```
linalg.elem(lhs, rhs, outs=[out], op=BinaryFn.mul)
```
If the op argument is not set the default operation is used.
Depends On D120109
Reviewed By: nicolasvasilache, aartbik
Differential Revision: https://reviews.llvm.org/D120110
This change gives explicit order of verifier execution and adds
`hasRegionVerifier` and `verifyWithRegions` to increase the granularity
of verifier classification. The orders are as below,
1. InternalOpTrait will be verified first, they can be run independently.
2. `verifyInvariants` which is constructed by ODS, it verifies the type,
attributes, .etc.
3. Other Traits/Interfaces that have marked their verifier as
`verifyTrait` or `verifyWithRegions=0`.
4. Custom verifier which is defined in the op and has marked
`hasVerifier=1`
If an operation has regions, then it may have the second phase,
5. Traits/Interfaces that have marked their verifier as
`verifyRegionTrait` or
`verifyWithRegions=1`. This implies the verifier needs to access the
operations in its regions.
6. Custom verifier which is defined in the op and has marked
`hasRegionVerifier=1`
Note that the second phase will be run after the operations in the
region are verified. Based on the verification order, you will be able to
avoid verifying duplicate things.
Reviewed By: Mogball
Differential Revision: https://reviews.llvm.org/D116789
Split arithmetic function into unary and binary functions. The revision prepares the introduction of unary and binary function attributes that work similar to type function attributes.
Depends On D120108
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D120109
Documentation exists about the details of the API but is missing a
description of the overall structure per dialect.
Reviewed By: shabalin
Differential Revision: https://reviews.llvm.org/D117002
The MLIR parser allows regions to have an unnamed entry block.
Make this explicit in the language grammar.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D119950
Optional parameters with `defaultValue` set will be populated with that value if they aren't encountered during parsing. Moreover, parameters equal to their default values are elided when printing.
Depends on D118210
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D118544
Index attributes had no default value, which means the attribute values had to be set on the operation. This revision adds a default parameter to `IndexAttrDef`. After the change, every index attribute has to define a default value. For example, we may define the following strides attribute:
```
```
When using the operation the default stride is used if the strides attribute is not set. The mechanism is implemented using `DefaultValuedAttr`.
Additionally, the revision uses the naming index attribute instead of attribute more consistently, which is a preparation for follow up revisions that will introduce function attributes.
Depends On D119125
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D119126
Previously, OpDSL did not support rank polymorphism, which required a separate implementation of linalg.fill. This revision extends OpDSL to support rank polymorphism for a limited class of operations that access only scalars and tensors of rank zero. At operation instantiation time, it scales these scalar computations to multi-dimensional pointwise computations by replacing the empty indexing maps with identity index maps. The revision does not change the DSL itself, instead it adapts the Python emitter and the YAML generator to generate different indexing maps and and iterators depending on the rank of the first output.
Additionally, the revision introduces a `linalg.fill_tensor` operation that in a future revision shall replace the current handwritten `linalg.fill` operation. `linalg.fill_tensor` is thus only temporarily available and will be renamed to `linalg.fill`.
Reviewed By: nicolasvasilache, stellaraccident
Differential Revision: https://reviews.llvm.org/D119003
Implements optional attribute or type parameters, including support for such parameters in the assembly format `struct` directive. Also implements optional groups.
Depends on D117971
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D118208
Currently if an operation requires additional verification, it specifies an inline
code block (`let verifier = "blah"`). This is quite problematic for various reasons, e.g.
it requires defining C++ inside of Tablegen which is discouraged when possible, but mainly because
nearly all usages simply forward to a static function `static LogicalResult verify(SomeOp op)`.
This commit adds support for a `hasVerifier` bit field that specifies if an additional verifier
is needed, and when set to `1` declares a `LogicalResult verify()` method for operations to
override. For migration purposes, the existing behavior is untouched. Upstream usages will
be replaced in a followup to keep this patch focused on the hasVerifier implementation.
One main user facing change is that what was one `MyOp::verify` is now `MyOp::verifyInvariants`.
This better matches the name this method is called everywhere else, and also frees up `verify` for
the user defined additional verification. The `verify` function when generated now (for additional
verification) is private to the operation class, which should also help avoid accidental usages after
this switch.
Differential Revision: https://reviews.llvm.org/D118742
This matches the same API usage as attributes/ops/types. For example:
```c++
Dialect *dialect = ...;
// Instead of this:
if (auto *interface = dialect->getRegisteredInterface<DialectInlinerInterface>())
// You can do this:
if (auto *interface = dyn_cast<DialectInlinerInterface>(dialect))
```
Differential Revision: https://reviews.llvm.org/D117859
- Remove the `{Op,Attr,Type}Trait` TableGen classes and replace with `Trait`
- Rename `OpTraitList` to `TraitList` and use it in a few places
The bulk of this change is a mechanical s/OpTrait/Trait/ throughout the codebase.
Reviewed By: rriddle, jpienaar, herhut
Differential Revision: https://reviews.llvm.org/D118543
This reduces the dependencies of the MLIRVector target and makes the dialect consistent with other dialects.
Differential Revision: https://reviews.llvm.org/D118533
The bufferization of arith.constant ops is also switched over to BufferizableOpInterface-based bufferization. The old implementation is deleted. Both implementations utilize GlobalCreator, now renamed to just `getGlobalFor`.
GlobalCreator no longer maintains a set of all created allocations to avoid duplicate allocations of the same constant. Instead, `getGlobalFor` scans the module to see if there is already a global allocation with the same constant value.
For compatibility reasons, it is still possible to create a pass that bufferizes only `arith.constant`. This pass (createConstantBufferizePass) could be deleted once all users were switched over to One-Shot bufferization.
Differential Revision: https://reviews.llvm.org/D118483
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
The LangRef currently lacks a top-level production, leaving the productions attribute-alias-def and type-alias-defunused. Clarify the situation by declaring what is to be parsed by an MLIR parser at the toplevel.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D117668
This commit refactors the FunctionLike trait into an interface (FunctionOpInterface).
FunctionLike as it is today is already a pseudo-interface, with many users checking the
presence of the trait and then manually into functionality implemented in the
function_like_impl namespace. By transitioning to an interface, these accesses are much
cleaner (ideally with no direct calls to the impl namespace outside of the implementation
of the derived function operations, e.g. for parsing/printing utilities).
I've tried to maintain as much compatability with the current state as possible, while
also trying to clean up as much of the cruft as possible. The general migration plan for
current users of FunctionLike is as follows:
* function_like_impl -> function_interface_impl
Realistically most user calls should remove references to functions within this namespace
outside of a vary narrow set (e.g. parsing/printing utilities). Calls to the attribute name
accessors should be migrated to the `FunctionOpInterface::` equivalent, most everything
else should be updated to be driven through an instance of the interface.
* OpTrait::FunctionLike -> FunctionOpInterface
`hasTrait` checks will need to be moved to isa, along with the other various Trait vs
Interface API differences.
* populateFunctionLikeTypeConversionPattern -> populateFunctionOpInterfaceTypeConversionPattern
Fixes#52917
Differential Revision: https://reviews.llvm.org/D117272
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
River Riddle