mlir.dialects.transform.debug
=============================

.. py:module:: mlir.dialects.transform.debug


Classes
-------

.. autoapisummary::

   mlir.dialects.transform.debug.EmitParamAsRemarkOp
   mlir.dialects.transform.debug.EmitRemarkAtOp


Functions
---------

.. autoapisummary::

   mlir.dialects.transform.debug.emit_param_as_remark
   mlir.dialects.transform.debug.emit_remark_at


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

.. py:class:: EmitParamAsRemarkOp(param: mlir.ir.Attribute, *, anchor: Optional[mlir.ir.Operation] = None, message: Optional[Union[mlir.ir.StringAttr, str]] = None, loc=None, ip=None)

   Bases: :py:obj:`EmitParamAsRemarkOp`


   
   This operation emits a diagnostic remark containing the string form of the
   attributes associated with the parameter provided as attribute. It takes
   as optional arguments:

   * an additional message text to prepend;
   * a handle pointing to operations the location of which will be used to
   emit the diagnostic; if multiple operations are associated, the
   diagnostic is emitted for all of their respective locations.

   This operation always succeeds.


.. py:function:: emit_param_as_remark(param: mlir.ir.Attribute, *, anchor: Optional[mlir.ir.Operation] = None, message: Optional[Union[mlir.ir.StringAttr, str]] = None, loc=None, ip=None)

.. py:class:: EmitRemarkAtOp(at: Union[mlir.ir.Operation, mlir.ir.Value], message: Optional[Union[mlir.ir.StringAttr, str]] = None, *, loc=None, ip=None)

   Bases: :py:obj:`EmitRemarkAtOp`


   
   This operation emits a diagnostic remark with the given message at the
   location of each payload object associated with the argument. The argument
   may be an operation or a value handle.

   This operation always succeeds.


.. py:function:: emit_remark_at(at: Union[mlir.ir.Operation, mlir.ir.Value], message: Optional[Union[mlir.ir.StringAttr, str]] = None, *, loc=None, ip=None)