o 8} i.@sddlmZddlmZmZddlmZddlZddlm Z m Z ddl m Z m Z ddlmZmZmZmZmZddlmZed d d gZgd Zd)ddZd*ddZd+ddZ  d,d-d$d%Zd.d'd(ZdS)/) annotations) defaultdict namedtuple)AnyN) ETKernelIndex ETKernelKey) LineLoaderparse_native_yaml)BackendMetadata DispatchKeyFunctionSchemaNativeFunction OperatorName)NamespaceHelper ETParsedYamlnative_functionsZet_kernel_indices)kernels type_aliasdim_order_aliaseidict[str, object]return"dict[ETKernelKey, BackendMetadata]cCs|}|dd}duriS|di}|di}|ddi}|D]Y}|d}|dur6|d|d}tj|dd } | jd d } t| jd | d d} |dur]tddd gnt |||} | D]} | |vszJdt | dt || || <qfq&|S)a3Given a loaded yaml representing kernel assignment information, extract the mapping from `kernel keys` to `BackendMetadata` (the latter representing the kernel instance) Args: ei: Dict keys {kernels, type_alias, dim_order_alias} See ETKernelKey for description of arguments rNrr__line__arg_meta kernel_name) max_levelat)defaultFz::native)kernel structured cpp_namespaceTzDuplicate kernel key:  ) copypopgetrfrom_namespaced_entityget_cpp_namespacer entity_namer gen_from_yamlstr)rerrrkernel_mappingentryrrnamespace_helperkernel_namespacebackend_metadata kernel_keys kernel_keyr#r#;/home/app/PyTorch/test/pytorch/torchgen/executorch/parse.pyparse_from_yamls@          r6esobjectrcCsi}|D]?}|}|d}t|tsJd|tj|dd}t|jj }||vs5Jd|dt t |}dkrC|||<qt |S)zGiven a loaded yaml representing a list of operators, for each op extract the mapping of `kernel keys` to `BackendMetadata` (the latter representing the kernel instance that should be used by the kernel key). func not a str: namespaced_entityrzDuplicate func found in yaml: z alreadyr) r%r& isinstancer,rr(r parser*namelenr6r)r7indicesrr-funcsr0opnameindexr#r#r5parse_et_yaml_structLs rF"dict[OperatorName, dict[str, Any]]cCs|tt}|D]5}|d}t|tsJd|tj|dd}t|j j }t D]}||}dur:||||<q)q|S)zGiven a loaded yaml representing a list of operators, extract the kernel key related fields indexed by the operator name. r9r:r;r<N) rdictr'r>r,rr(r r?r*r@ ET_FIELDS)r7fieldsrrCr0rDfieldvaluer#r#r5extract_kernel_fieldsds  rMFpathr,tags_yaml_path ignore_keysset[DispatchKey] | Noneskip_native_fns_genbool?tuple[list[NativeFunction], dict[OperatorName, dict[str, Any]]]cCsbt|}tj|td}Wdn1swYt|}t|t|||||d}|j|fS)zParse native_functions.yaml into NativeFunctions and an Operator Indexed Dict of fields to persist from native_functions.yaml to functions.yaml )LoaderN)rR loaded_yaml)openyamlloadrrMstrip_et_fieldsr r)rNrOrPrRfr7Z et_kernel native_yamlr#r#r5 parse_et_yamlxs  r]NonecCs$|D] }tD]}||dqqdS)zGiven a loaded yaml representing a list of operators, remove ET specific fields from every entries for BC compatibility N)rIr&)r7r/rKr#r#r5rZs rZ)rrrr)r7r8rr)r7r8rrG)NF) rNr,rOr,rPrQrRrSrrT)r7r8rr^) __future__r collectionsrrtypingrrXtorchgen.executorch.modelrr torchgen.genrr torchgen.modelr r r r rtorchgen.utilsrrrIr6rFrMr]rZr#r#r#r5s"     1