mlir._mlir_libs._mlir
=====================

.. py:module:: mlir._mlir_libs._mlir


Submodules
----------

.. toctree::
   :maxdepth: 1

   /autoapi/mlir/_mlir_libs/_mlir/ir/index
   /autoapi/mlir/_mlir_libs/_mlir/passmanager/index
   /autoapi/mlir/_mlir_libs/_mlir/rewrite/index


Attributes
----------

.. autoapisummary::

   mlir._mlir_libs._mlir.globals


Classes
-------

.. autoapisummary::

   mlir._mlir_libs._mlir._Globals


Functions
---------

.. autoapisummary::

   mlir._mlir_libs._mlir.register_dialect
   mlir._mlir_libs._mlir.register_operation
   mlir._mlir_libs._mlir.register_type_caster
   mlir._mlir_libs._mlir.register_value_caster


Package Contents
----------------

.. py:class:: _Globals

   .. py:property:: dialect_search_modules
      :type: list[str]



   .. py:method:: append_dialect_search_prefix(module_name: str) -> None


   .. py:method:: _check_dialect_module_loaded(dialect_namespace: str) -> bool


   .. py:method:: _register_dialect_impl(dialect_namespace: str, dialect_class: object) -> None

      
      Testing hook for directly registering a dialect



   .. py:method:: _register_operation_impl(operation_name: str, operation_class: object, *, replace: bool = False) -> None

      
      Testing hook for directly registering an operation



   .. py:method:: loc_tracebacks_enabled() -> bool


   .. py:method:: set_loc_tracebacks_enabled(arg: bool, /) -> None


   .. py:method:: loc_tracebacks_frame_limit() -> int


   .. py:method:: set_loc_tracebacks_frame_limit(arg: int, /) -> None


   .. py:method:: register_traceback_file_inclusion(arg: str, /) -> None


   .. py:method:: register_traceback_file_exclusion(arg: str, /) -> None


.. py:data:: globals
   :type:  _Globals
   :value: Ellipsis


.. py:function:: register_dialect(dialect_class: type) -> type

   
   Class decorator for registering a custom Dialect wrapper


.. py:function:: register_operation(dialect_class: type, *, replace: bool = False) -> object

   
   Produce a class decorator for registering an Operation class as part of a dialect


.. py:function:: register_type_caster(typeid: mlir.ir.TypeID, *, replace: bool = False) -> object

   
   Register a type caster for casting MLIR types to custom user types.


.. py:function:: register_value_caster(typeid: mlir.ir.TypeID, *, replace: bool = False) -> object

   
   Register a value caster for casting MLIR values to custom user values.