ml_switcheroo.frameworks.rdna
=============================

.. py:module:: ml_switcheroo.frameworks.rdna

.. autoapi-nested-parse::

   AMD RDNA / GCN Framework Adapter.

   Provides metadata and configuration for the RDNA compiler stack.
   This adapter acts as a metadata container for the Compiler Registry,
   identifying RDNA as a target language and providing static definitions.

   Migration Note:
       Legacy shim classes (`PythonToRdnaEmitter`, `RdnaToPythonParser`)
       have been removed. Routing now occurs via `compiler.registry`.



Classes
-------

.. autoapisummary::

   ml_switcheroo.frameworks.rdna.RdnaAdapter


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

.. py:class:: RdnaAdapter(target_arch: str = 'gfx1030')

   Bases: :py:obj:`ml_switcheroo.frameworks.base.FrameworkAdapter`


   Adapter for AMD RDNA.


   .. py:attribute:: display_name
      :type:  str
      :value: 'AMD RDNA'



   .. py:attribute:: inherits_from
      :type:  Optional[str]
      :value: None



   .. py:attribute:: ui_priority
      :type:  int
      :value: 151



   .. py:attribute:: target_arch
      :value: 'gfx1030'



   .. py:property:: search_modules
      :type: List[str]



   .. py:property:: unsafe_submodules
      :type: Set[str]



   .. py:property:: import_alias
      :type: Tuple[str, str]



   .. py:property:: import_namespaces
      :type: Dict[str, ml_switcheroo.frameworks.base.ImportConfig]



   .. py:property:: discovery_heuristics
      :type: Dict[str, List[str]]



   .. py:property:: test_config
      :type: Dict[str, str]



   .. py:property:: harness_imports
      :type: List[str]



   .. py:method:: get_harness_init_code() -> str


   .. py:method:: get_to_numpy_code() -> str


   .. py:property:: supported_tiers
      :type: List[ml_switcheroo.enums.SemanticTier]



   .. py:property:: declared_magic_args
      :type: List[str]



   .. py:property:: structural_traits
      :type: ml_switcheroo.semantics.schema.StructuralTraits



   .. py:property:: plugin_traits
      :type: ml_switcheroo.semantics.schema.PluginTraits



   .. py:property:: definitions
      :type: Dict[str, ml_switcheroo.frameworks.base.StandardMap]



   .. py:property:: specifications
      :type: Dict[str, ml_switcheroo.frameworks.base.OperationDef]



   .. py:property:: rng_seed_methods
      :type: List[str]



   .. py:method:: collect_api(category: ml_switcheroo.frameworks.base.StandardCategory) -> List[ml_switcheroo.core.ghost.GhostRef]


   .. py:method:: get_device_syntax(device_type: str, device_index: Optional[str] = None) -> str


   .. py:method:: get_device_check_syntax() -> str


   .. py:method:: get_rng_split_syntax(rng_var: str, key_var: str) -> str


   .. py:method:: get_serialization_imports() -> List[str]


   .. py:method:: get_serialization_syntax(op: str, file_arg: str, object_arg: Optional[str] = None) -> str


   .. py:method:: get_weight_conversion_imports() -> List[str]


   .. py:method:: get_weight_load_code(path_var: str) -> str


   .. py:method:: get_tensor_to_numpy_expr(tensor_var: str) -> str


   .. py:method:: get_weight_save_code(state_var: str, path_var: str) -> str


   .. py:method:: apply_wiring(snapshot: Dict[str, Any]) -> None


   .. py:method:: get_doc_url(api_name: str) -> Optional[str]


   .. py:method:: convert(data: Any) -> Any


   .. py:method:: get_tiered_examples() -> Dict[str, str]