iUSSKJrJr SSKJr SSKJrJrJrJ r J r J r SSK J r SSKJr SSKJr Sr\"SS 55r"S S \5rg ) )ABCabstractmethod) dataclass)AnyDictListOptionalTupleUnion)NamedDataStoreOutput) CompileSpec)ExportedProgramcSUlU$)NT)__enforcedmethod__)funcs f/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/executorch/exir/backend/backend_details.pyenforcedmethodrs"D Kc\rSrSr%\"5r\\S'Sr\\ \ \ \ \ 4\ \ \ \ 44\S'Sr\\\S'Sr\\\S'Srg)PreprocessResultprocessed_bytesNdebug_handle_mapdata_store_output_delegate_info_meta)__name__ __module__ __qualname____firstlineno__bytesr__annotations__rr r rintr strrr rr__static_attributes__rrrrrsj"WOU$ huT#uSz/%:DeCj[TU]"S0UD6 UR[4:XagURHIn[ U[5(dMU[LdM%[ SUR SUR S35e g)Nz5ExecuTorch delegate doesn't support nested backend, 'zX' should be a final backend implementation and should not be subclassed (attempted by 'z').r)super__init_subclass__ __bases__r' issubclass TypeErrorr)clskwargsbase __class__s rr+ BackendDetails.__init_subclass__<sy !+F+ ==^- - MMD$//D4NKDMM?[&&)ll^38"r edge_program compile_specsreturncg)a Preprocesses an edge program and returns the preprocess result fo the given backend Args: edge_program: The original exported program. It will not be modified in place. compile_specs: List of values needed for compilation Returns: PreprocessResult: It wraps the following information: processed_bytes -> bytes: A compiled blob - a binary that can run the desired program in the backend. debug_handle_map (Optional[Dict[int, Tuple[int]]]): For profiling purposes, a map from the node_id in the final graph (either EXIR or the user's self-defined IR) to debug handle id attached in the original exported program. Nr)r4r5s r preprocessBackendDetails.preprocessLs4 r edge_programsc N0nUR5HupEXB;d SU35eX$n[U5[U5:Xd"SUS[U5S[U535e/n[XV5H'upURX5n UR U 5 M) XsU'M U$)aV Runs preprocess on all partitioned Edge Programs across multiple methods. This allows backends to share information across partitioned graphs. Backend can serialize shared data by putting the shared data into the data_store_output of the preprocess results. This will record the shared data used by that specific partition. Default implementation is running the existing preprocess implementation on all Args: edge_programs: Dictionary mapping the method name to a list of all the partitioned edge_programs from that method to be lowered. compile_specs: Dictionary mapping the method name to a list of compile_specs. The list of compile specs maps directly to the list of edge_programs for the same given method name i.e. edge_program[method_name][i] --> compile_specs[method_name][i] Returns: Dictionary mapping the method name to a list of PreprocessResults. The list of PreprocessResults maps directly to the list of edge_programs for the same given method name. i.e. edge_program[method_name][i] --> result[method_name][i] z!Error: missing compile specs for zError: method z has z partitions but only )itemslenzipr8append) r/r:r5preprocess_results method_nameprogramscompile_specs_for_methodresults_for_methodprogramcompile_spec_for_programpreprocess_results rpreprocess_multimethod%BackendDetails.preprocess_multimethodhs8 %2%8%8%: !K, A2;-@ A,'4'A $/0C5 v }E#h-@UVYZrVsUtu v"$ 5861%(NN7$U!"))*;< 6 /A{ +&;""!rr)rrrr __doc__r+ staticmethodrrrrr rr8 classmethodrr$listrHr% __classcell__)r2s@rr'r'4s  % K(     .-"Co!667-"Cd;&7!889-" c4()) * -"-"rr'N)abcrr dataclassesrtypingrrrr r r ,executorch.exir._serialize._named_data_storer +executorch.exir.backend.compile_spec_schemar torch.export.exported_programrrrr'rrrrUsM$!::MC9  .. ."b"Sb"r