This patch specializes the Python bindings for ForallOp and
InParallelOp, similar to the existing one for ForOp. These bindings
create the regions and blocks properly and expose some additional
helpers.
Without this fix, `scf.if` operations would be created without a parent.
Since `scf.if` operations often have no results, this caused silent bugs
where the generated code was straight-up missing the operation.
Using `for_` is very hand with python bindings. Currently, it doesn't
support results, we had to fallback to two lines scf.for.
This PR yields results of scf.for in `for_`
---------
Co-authored-by: Maksim Levental <maksim.levental@gmail.com>
This PR adds the additional generation of what I'm calling "value
builders" (a term I'm not married to) that look like this:
```python
def empty(sizes, element_type, *, loc=None, ip=None):
return get_result_or_results(tensor.EmptyOp(sizes=sizes, element_type=element_type, loc=loc, ip=ip))
```
which instantiates a `tensor.EmptyOp` and then immediately grabs the
result (`OpResult`) and then returns that *instead of a handle to the
op*.
What's the point of adding these when `EmptyOp.result` already exists?
My claim/feeling/intuition is that eDSL users are more comfortable with
a value centric programming model (i.e., passing values as operands) as
opposed to an operator instantiation programming model. Thus this change
enables (or at least goes towards) the bindings supporting such a user
and use case. For example,
```python
i32 = IntegerType.get_signless(32)
...
ten1 = tensor.empty((10, 10), i32)
ten2 = tensor.empty((10, 10), i32)
ten3 = arith.addi(ten1, ten2)
```
Note, in order to present a "pythonic" API and enable "pythonic" eDSLs,
the generated identifiers (op names and operand names) are snake case
instead of camel case and thus `llvm::convertToSnakeFromCamelCase`
needed a small fix. Thus this PR is stacked on top of
https://github.com/llvm/llvm-project/pull/68375.
In addition, as a kind of victory lap, this PR adds a "rangefor" that
looks and acts exactly like python's `range` but emits `scf.for`.
This is an ongoing series of commits that are reformatting our
Python code.
Reformatting is done with `black`.
If you end up having problems merging this commit because you
have made changes to a python file, the best way to handle that
is to run git checkout --ours <yourfile> and then reformat it
with black.
If you run into any problems, post to discourse about it and
we will try to help.
RFC Thread below:
https://discourse.llvm.org/t/rfc-document-and-standardize-python-code-style
Differential Revision: https://reviews.llvm.org/D150782
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
Current generated Python binding for the SCF dialect does not allow
users to call IfOp to create if-else branches on their own.
This PR sets up the default binding generation for scf.if operation
to address this problem.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D121076
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
Precursor: https://reviews.llvm.org/D110200
Removed redundant ops from the standard dialect that were moved to the
`arith` or `math` dialects.
Renamed all instances of operations in the codebase and in tests.
Reviewed By: rriddle, jpienaar
Differential Revision: https://reviews.llvm.org/D110797
Introduce support for accepting ops instead of values when constructing ops. A
single-result op can be used instead of a value, including in lists of values,
and any op can be used instead of a list of values. This is similar to, but
more powerful, than the C++ API that allows for implicitly casting an OpType to
Value if it is statically known to have a single result - the cast in Python is
based on the op dynamically having a single result, and also handles the
multi-result case. This allows to build IR in a more concise way:
op = dialect.produce_multiple_results()
other = dialect.produce_single_result()
dialect.consume_multiple_results(other, op)
instead of having to access the results manually
op = dialect.produce.multiple_results()
other = dialect.produce_single_result()
dialect.consume_multiple_results(other.result, op.operation.results)
The dispatch is implemented directly in Python and is triggered automatically
for autogenerated OpView subclasses. Extension OpView classes should use the
functions provided in ods_common.py if they want to implement this behavior.
An alternative could be to implement the dispatch in the C++ bindings code, but
it would require to forward opaque types through all Python functions down to a
binding call, which makes it hard to inspect them in Python, e.g., to obtain
the types of values.
Reviewed By: gysit
Differential Revision: https://reviews.llvm.org/D111306
This is an important core dialect that has not been exposed previously. Set up
the default bindings generation and provide a nicer wrapper for the `for` loop
with access to the loop configuration and body.
Depends On D110758
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D110759
