mlir.dialects.affine
====================

.. py:module:: mlir.dialects.affine


Classes
-------

.. autoapisummary::

   mlir.dialects.affine.AffineForOp
   mlir.dialects.affine.AffineIfOp


Functions
---------

.. autoapisummary::

   mlir.dialects.affine.for_


Module Contents
---------------

.. py:class:: AffineForOp(lower_bound: Union[int, mlir.dialects._ods_common.ResultValueT, AffineMap], upper_bound: Optional[Union[int, mlir.dialects._ods_common.ResultValueT, AffineMap]], step: Optional[Union[int, Attribute]] = None, iter_args: Optional[mlir.dialects._ods_common.ResultValueT] = None, *, lower_bound_operands: Optional[mlir.dialects._ods_common.VariadicResultValueT] = None, upper_bound_operands: Optional[mlir.dialects._ods_common.VariadicResultValueT] = None, loc=None, ip=None)

   Bases: :py:obj:`AffineForOp`


   
   Specialization for the Affine for op class.


   .. py:property:: body

      
      Returns the body (block) of the loop.



   .. py:property:: induction_variable

      
      Returns the induction variable of the loop.



   .. py:property:: inner_iter_args

      
      Returns the loop-carried arguments usable within the loop.

      To obtain the loop-carried operands, use ``iter_args``.



.. py:function:: for_(start, stop, step=None, iter_args: Optional[Sequence[Value]] = None, *, loc=None, ip=None)

.. py:class:: AffineIfOp(cond: IntegerSet, results_: Optional[Type] = None, *, cond_operands: Optional[mlir.dialects._ods_common.VariadicResultValueT] = None, has_else: bool = False, loc=None, ip=None)

   Bases: :py:obj:`AffineIfOp`


   
   Specialization for the Affine if op class.


   .. py:property:: then_block
      :type: Block


      
      Returns the then block of the if operation.



   .. py:property:: else_block
      :type: Optional[Block]


      
      Returns the else block of the if operation.