4 Commits

Author SHA1 Message Date
Mehdi Amini
f431d3878a Make Python MLIR Operation not iterable
The current behavior is conveniently allowing to iterate on the regions of an operation
implicitly by exposing an operation as Iterable. However this is also error prone and
code that may intend to iterate on the results or the operands could end up "working"
apparently instead of throwing a runtime error.
The lack of static type checking in Python contributes to the ambiguity here, it seems
safer to not do this and require and explicit qualification to iterate (`op.results`, `op.regions`, ...).

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D111697
2021-10-26 07:21:09 +00:00
Alex Zinenko
255a690971 [mlir][python] Provide more convenient constructors for std.CallOp
The new constructor relies on type-based dynamic dispatch and allows one to
construct call operations given an object representing a FuncOp or its name as
a string, as opposed to requiring an explicitly constructed attribute.

Depends On D110947

Reviewed By: stellaraccident

Differential Revision: https://reviews.llvm.org/D110948
2021-10-04 11:45:29 +02:00
Alex Zinenko
afeda4b9ed [mlir][python] provide access to function argument/result attributes
Without this change, these attributes can only be accessed through the generic
operation attribute dictionary provided the caller knows the special operation
attribute names used for this purpose. Add some Python wrapping to support this
use case.

Also provide access to function arguments usable inside the function along with
a couple of quality-of-life improvements in using block arguments (function
arguments being the arguments of its entry block).

Reviewed By: stellaraccident

Differential Revision: https://reviews.llvm.org/D110758
2021-09-30 09:38:13 +02:00
Stella Laurenzo
9f3f6d7bd8 Move MLIR python sources to mlir/python.
* NFC but has some fixes for CMake glitches discovered along the way (things not cleaning properly, co-mingled depends).
* Includes previously unsubmitted fix in D98681 and a TODO to fix it more appropriately in a smaller followup.

Differential Revision: https://reviews.llvm.org/D101493
2021-05-03 18:36:48 +00:00