&Vf)ddlZddlZddlmZddlmZddlmZddlmZddlm Z ddl m Z ddl m Z dd l mZdd lmZed Gd d ZdS)N)backend)dtype_policies)tree) keras_export)any_symbolic_tensors)Node) python_utils)traceback_utils) auto_namezkeras.OperationceZdZddZejdZdZdZdZ dZ fdZ e j d Zed Zd Zed Zed ZdZdZdZdZdZxZS) OperationNc|t|jj}t|trd|vr#t d|dt |dtj||_ ||_ g|_ g|_ dS)N/zRArgument `name` must be a string and cannot contain character `/`. Received: name=z (of type )) r __class____name__ isinstancestr ValueErrortyperget _dtype_policyname_inbound_nodes_outbound_nodes)selfdtypers T/var/www/html/software/conda/lib/python3.11/site-packages/keras/src/ops/operation.py__init__zOperation.__init__s <T^455D$$$ t @"&@@26t**@@@  ,/66  !ctjrqt||r|j}n.t |jt jr|j}n|j }tj ||j j d}||i|St||r |j|i|St |jt jr |j|i|S|j |i|S)Nz.call()) object_name) r is_traceback_filtering_enabledr symbolic_callrrrQuantizedDTypePolicyquantized_callcall!inject_argument_info_in_tracebackrr)rargskwargscall_fns r__call__zOperation.__call__s  9 ; ; ,#D&11 (,&(K(#1GG"iG%G $ 7@@@G7D+F++ + f - - 7%4%t6v66 6 d(.*M N N .&4&777 749d-f-- -r cF|j|i|}t|||||S)N) operation call_args call_kwargsoutputs)compute_output_specr)rr)r*r1s rr$zOperation.symbolic_call:sB*$*D;F;; d    r ctNNotImplementedErrorrr)r*s rr'zOperation.callH!!r ctr4r5r7s rr&zOperation.quantized_callKr8r c B tj|jg|Ri|S#t$rx}t |t r|t d|jd|jj d|jj d|jj d| }| |j dd}~wwxYw)Nz;Could not automatically infer the output shape / dtype of 'z ' (of type z). Either the `z<.call()` method is incorrect, or you need to implement the `zM.compute_output_spec() / compute_output_shape()` method. Error encountered: ) rr2r' Exceptionr TypeError RuntimeErrorrrrwith_traceback __traceback__)rr)r*enew_es rr2zOperation.compute_output_specNs F.tyJ4JJJ6JJ J F F F!Y'' F$1 11.2n.E11#'>#:11/ 11 ./ 11**1?;;E Fs BA3BBc ~tj|jj}|t t |dt|dz|tt| |}tttttdf} t!j|}d}|D]}t%||sd}nn#t&$rd}YnwxYw d|_|rddlm} | jdi||_nd|_d|_n#t2$rYnwxYw|S)aJWe override __new__ to saving serializable constructor arguments. These arguments are used to auto-generate an object serialization config, which enables user-created subclasses to be serializable out of the box in most cases without forcing the user to manually implement `get_config()`. NTFr)serialization_lib)inspectgetfullargspecrr)updatedictziplensuperr __new__rintfloatboolrrflattenrr<_lockkeras.src.savingrDSerializableDict _auto_configRecursionError) clsr)r* arg_namesinstancesupported_typesflat_arg_values auto_configvaluerDrs rrMzOperation.__new__`s*3<88=  d3ySYY]):;TBBCCDDDC((0055UD$t**= "l622OK(  !%99"'KE   KKK  "HN ->>>>>>(J(9(J))))%%)-%!HNN    D   s$9/C)) C87C8<0D-- D:9D:cd|ji}tj|js|St |ddt |}||jj tj |j }|j dkr>|||jddz D]}||d|St#t%jd|jjd)zReturns the config of the object. An object config is a Python dictionary (serializable) containing the information needed to re-instantiate it. rrUNr*rCz Object a was created by passing non-serializable argument values in `__init__()`, and therefore the object must override `get_config()` in order to be serializable. Please implement `get_config()`. Example: class CustomLayer(keras.layers.Layer): def __init__(self, arg1, arg2, **kwargs): super().__init__(**kwargs) self.arg1 = arg1 self.arg2 = arg2 def get_config(self): config = super().get_config() config.update({ "arg1": self.arg1, "arg2": self.arg2, }) return config)rr is_default get_configgetattrsetkeysrHrUconfigrFrGrvarkw intersectionr)popr6textwrapdedentrr)rrd xtra_argsargspeckeys rr`zOperation.get_configs DI &t77 M 4 . . :FKKMM**I MM$+2 3 3 3,T];;G}(($y'='=gl122>N'O'OO**CJJsD))))M%!'!!! r c r |di|S#t$r"}td|jd|d|d}~wwxYw)aCreates a layer from its config. This method is the reverse of `get_config`, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by `set_weights`). Args: config: A Python dictionary, typically the output of get_config. Returns: A layer instance. z Error when deserializing class 'z' using config=z. Exception encountered: NrE)r;r<r)rWrdr@s r from_configzOperation.from_configs~  3====    B3<BB BB>?BB  s 616cd|jdS)Nz)rrs r__repr__zOperation.__repr__s.$)....r c0|dddS)zRetrieves the input tensor(s) of a symbolic operation. Only returns the tensor(s) corresponding to the *first time* the operation was called. Returns: Input tensor or list of input tensors. r input_tensorsinput_get_node_attribute_at_indexrqs rruzOperation.inputs00OWMMMr c0|dddS)zRetrieves the output tensor(s) of a layer. Only returns the tensor(s) corresponding to the *first time* the operation was called. Returns: Output tensor or list of output tensors. routput_tensorsoutputrvrqs rrzzOperation.outputs004DhOOOr c f|jstd|jd|dt|j|ks+td|d|dt|jdt |j||}t |t rt|dkr|d S|S) aPrivate utility to retrieves an attribute (e.g. inputs) from a node. This is used to implement the properties: - output - input Args: node_index: Integer index of the node from which to retrieve the attribute. attr: Exact node attribute name. attr_name: Human-readable attribute name, for error messages. Returns: The operation's attribute `attr` at the node of index `node_index`. z The layer z/ has never been called and thus has no defined .z Asked to get z at node z, but the operation has only z inbound nodes.rCr)rrrrKrarlist)r node_indexattr attr_namevaluess rrwz&Operation._get_node_attribute_at_indexs " 8TY88+4888 4&''*44= ====t*++===  ,Z8$?? fd # # F q(8(8!9 Mr cdS)5Can be overridden for per backend post build actions.NrErqs r _post_buildzOperation._post_build r c ||fS)rrE)rrr]s r _setattr_hookzOperation._setattr_hooks U{r cdS)z5Can be overridden for per backend post track actions.NrErvariables r_post_track_variablezOperation._post_track_variablerr cdS)z7Can be overridden for per backend post untrack actions.NrErs r_post_untrack_variablez Operation._post_untrack_variable rr )NN)r __module__ __qualname__rr filter_tracebackr,r$r'r&r2rMr defaultr` classmethodrnrrpropertyrurzrwrrrr __classcell__)rs@rr r s} " " " "%..&%.4   """"""FFF$(((((T222h[./// N NX N P PX PD             r r )rFrh keras.srcrrrkeras.src.api_exportr%keras.src.backend.common.keras_tensorrkeras.src.ops.noderkeras.src.utilsr r keras.src.utils.namingr r rEr rrs $$$$$$------FFFFFF######((((((++++++,,,,,,  R R R R R R R ! 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