o j9:j`@sXUddlZddlmZmZddlmZmZddlmZm Z m Z ddl Z gdZ eeZe dZe dZeee jefefZeeefZeeBZeGdd d ZeeeeegeefZeGd d d ZeZeed <iaee eefe j!j"fed <ee eefeefZ#ia$e#ed<eeee eeffZ%ia&e%ed<ia'e%ed<ia(e%ed<deeeBdBdeeeBdBdeeeBdBde)e eeffddZ*ddde+ddfddZ,dedede j!j"fdd Z-d!e j!j"d"ededdfd#d$Z.d%eeeBdBdeefd&d'Z/dddd(d)eeeBdBd*eeeBdBd+eeeBdBddfd,d-Z0dddd.d/eeeBdBd0eeeBdBd1eeeBdBddfd2d3Z1d4edeefd5d6Z2d4ededed7e eefddf d8d9Z3ddd:d;ede+d?e+ddfd@dAZ4ddBdCeedDeedEe+de+fdFdGZ5ddHdededIeedJedBddf dKdLZ6ddddMdNedOe)e eefdBdPe+dJedBddf dQdRZ7ddHdededIeedJedBddf dSdTZ8dbdUdVZ9ddWdXedPe+ddfdYdZZ:ddWd[eeeege+fdPe+ddfd\d]Z;ddWd^eeege+fd_edPe+ddfd`daZ._append_to_set)r/rr _MappingTyperBrDrC)r+r,r-rLr rJr!r2s  r2F)print_inactiverNcCstD]9\\}}}td|d|t|D]$\}}|js!|rRe-registering ops by dsl: %s, op_symbol: %s, dispatch_key: %sT)r. filter_stateN)loginfor?r1r2rA_register_overrides_from_graph)r`rarbrKr<rrr r r!r s2  r )disable_dsl_namesdisable_op_symbolsdisable_dispatch_keysrhrirjcCsXtd|||t|||t}|D]}|\}}|tvr)t||t|tdqdS)ag De-register overrides by updating filter state and reregistering graphs. Args: disable_dsl_names: DSL names to disable disable_op_symbols: Operation symbols to disable disable_dispatch_keys: Dispatch keys to disable Note: This function uses filter state management to selectively disable operations. z>De-registering ops by dsl: %s, op_symbol: %s, dispatch_key: %srcN)rerfr?r1r3rA_cleanup_and_reregister_graph)rhrirjrKr<rrr r r!r =s&r rcCsFt}tD]\\}}}|D]}|j|kr||nqqt|S)zGet list of operations registered by a specific DSL. Args: dsl_name: Name of the DSL to query. Returns: Sorted list of operation names registered by the DSL. )r/rArOrrGsorted)r operationsr_nodesr'r r r!ris   rr<cCs^dttttttffdtdtttfddfdd}|t|||t|||t||dS)z Update the registration mapping dictionaries. Args: dsl_name: The DSL name op_symbol: The operation symbol dispatch_key: The dispatch key key: The dictionary key tuple registrationsymbolr<r(NcSs2||}|dur|g}|||<dS||dS)z;Helper to add key to registration list or create new entry.N)getappend)rprqr< entry_listr r r!_get_new_entry_or_appends  z;_update_registration_maps.._get_new_entry_or_append)dictrlistr>rBrDrC)rrrr<rur r r!_update_registration_maps{s   rx)allow_multiple_overriderbackend lib_symbolr\ryrc Cs`|dkr td|d||f}t|g}|t|||||d|t|<t||||ddS)a Register a passed override function to the dispatcher. Actually a graph-building operation; real registration happens later. Args: backend: The backend name (DSL name) lib_symbol: Library you're overriding symbols in (must be "aten") op_symbol: Name of the operation you're overriding dispatch_key: Dispatch key to override impl: Implementation function for the override allow_multiple_override: Allow overriding an existing override unconditional_override: Implementation doesn't have a fallback and doesn't require torch.DispatchKeySet as the first argument Raises: ValueError: If lib_symbol is not "aten" rSz.Unsupported lib_symbol (must be "aten", got: "")rrrrr)r<N) ValueErrorrArrrsrrx) rzr{rrr\ryrr<op_graphr r r!r s  r force_reregisteroriginal_graph new_graphrcCs|rdS||kS)aG Determine if a graph needs reregistration based on changes. Args: original_graph: The original graph before modification new_graph: The graph after modification force_reregister: If True, always reregister regardless of changes Returns: bool: True if reregistration is needed Tr )rrrr r r!_should_reregister_graphsrrcgraphrdcCs2||f}|tvr t|=|rt||||ddSdS)a] Clean up existing library and reregister a graph. This is the common pattern used across reorder, deregister, and reenable operations. Args: op_symbol: The operation symbol dispatch_key: The dispatch key graph: The graph to register filter_state: Optional filter state for conditional registration rcN)r@rg)rrrrdr<r r r!rks rk)keys_to_processreregister_overridesrdtransformation_fnrrc Cs|dur|ntt}t|D]i\}}||ftvrqtt||f}z||||}Wn%ttttfyAtj d||ddYqt yPt d||Yqwt |tsbt dt |j||q|t||f<|ryt||ddryt||||d qdS) a Apply a transformation function to graphs and optionally reregister. This is the core pattern used by reorder_graphs_from_user_function and can be reused for other graph transformation operations. Args: transformation_fn: Function to transform each graph keys_to_process: Keys to process, or None for all graphs reregister_overrides: Whether to reregister changed graphs filter_state: Optional filter state for conditional registration Note: If transformation_fn raises an exception for a specific graph, that graph will be skipped and processing will continue with remaining graphs. NAGraph transformation failed for %s/%s. Preserving original graph.Texc_infoNUnexpected error in graph transformation for %s/%s. Preserving original graph.zbGraph transformation returned invalid type %s for %s/%s. Expected list. Preserving original graph.Frrc)r/rAkeysrw TypeErrorr}AttributeError RuntimeErrorrewarning Exception exceptionr_typerrrk) rrrrd target_keysrrrrr r r!_apply_graph_transformationsX    rcCsN||f}t|}|D]}d}|r||}|r!t|||d|_q d|_q dS)a Register all overrides in a single graph. Args: op_symbol: The operation symbol dispatch_key: The dispatch key graph: List of override nodes to register filter_state: Optional filter state for conditional registration TFN)rXr*r]r)rrrrdr<rYr'enabler r r!rg_s  rgcCs*tD]\}}|\}}t|||qdS)zO Perform all registration calls from previously-built override graphs. N)rArOrg)r<rrrr r r!_register_all_overrides~sr)rfncCst||ddS)a Reorder override graphs using a user-provided ordering function. Args: fn: User-provided function that takes (op_symbol, dispatch_key, graph) and returns a reordered graph reregister_overrides: Whether to reregister graphs that have changed Note: This function uses the common graph transformation pattern and can serve as an example for other graph manipulation operations. rrN)r)rrr r r!r s r filter_fnc s6dtdtdttdttffdd }t||ddS) a Apply a filter function to remove nodes from graphs. This is a convenience function that uses the graph transformation pattern to filter out unwanted nodes. Args: filter_fn: Function that takes (op_symbol, dispatch_key, node) and returns True to keep the node, False to remove it reregister_overrides: Whether to reregister modified graphs Example: # Remove all nodes with "deprecated" in the DSL name _apply_graph_filter( lambda op, dk, node: "deprecated" not in node.dsl_name, reregister_overrides=True ) Note: If filter_fn raises an exception for a specific graph, the original graph will be preserved and processing will continue. rrrr(c slz fdd|DWSttttfy$tjddd|YSty5td|YSw)z-Apply filter_fn to graph with error handling.csg|] }|r|qSr r ).0r')rrrr r! szI_apply_graph_filter..filtering_transformation..rTrrrr}rrrerrr)rrrr)rrr!filtering_transformations$ z5_apply_graph_filter..filtering_transformationrNrrwrr)rrrr rr!_apply_graph_filters r condition_fn ordering_fnc s8dtdtdttdttffdd }t||ddS) aE Apply reordering only to graphs that match a condition. This allows for more targeted reordering operations. Args: condition_fn: Function that takes (op_symbol, dispatch_key) and returns True if the graph should be reordered ordering_fn: Ordering function to apply to matching graphs reregister_overrides: Whether to reregister modified graphs Example: # Only reorder CUDA operations _apply_selective_reordering( condition_fn=lambda op, dk: dk == "CUDA", ordering_fn=lambda op, dk, g: sorted(g, key=lambda n: n.dsl_name), reregister_overrides=True ) Note: If condition_fn or ordering_fn raises an exception for a specific graph, the original graph will be preserved and processing will continue. rrrr(c sz||}Wn)ttttfytjd||dd|YSty0td|||YSw|rdz|||WSttttfyRtjd||dd|YStyctd|||YSw|S)z=Apply ordering_fn conditionally based on condition_fn result.rTrrr)rrrshould_reorderrrr r!conditional_transformationsL  z?_apply_selective_reordering..conditional_transformationrNr)rrrrr rr!_apply_selective_reorderings+ r)r(N)=loggingcollections.abcrr dataclassesrrtypingrrr torch.libraryrU__all__ getLoggerrrerrDispatchKeySet _OpOverrideFn _OpReplaceFnrrrrwr r"r?rr@rvr>rVrW _GraphsTyperArMrBrCrDr/r2rrRrXr]r0r r rrxr rrkrrgrr rrr r r r!s`    X      $ " 7 ,  - 6  & V   <