&Vfc&pddlmZddlmZddlmZeddgGddZdZd S) )backend)tree) keras_exportzkeras.InputSpeczkeras.layers.InputSpeccLeZdZdZ ddZdZdZedZdS) InputSpecawSpecifies the rank, dtype and shape of every input to a layer. Layers can expose (if appropriate) an `input_spec` attribute: an instance of `InputSpec`, or a nested structure of `InputSpec` instances (one per input tensor). These objects enable the layer to run input compatibility checks for input structure, input rank, input shape, and input dtype for the first argument of `Layer.__call__`. A `None` entry in a shape is compatible with any dimension. Args: dtype: Expected dtype of the input. shape: Shape tuple, expected shape of the input (may include `None` for dynamic axes). Includes the batch size. ndim: Integer, expected rank of the input. max_ndim: Integer, maximum rank of the input. min_ndim: Integer, minimum rank of the input. axes: Dictionary mapping integer axes to a specific dimension value. allow_last_axis_squeeze: If `True`, allow inputs of rank N+1 as long as the last axis of the input is 1, as well as inputs of rank N-1 as long as the last axis of the spec is 1. name: Expected key corresponding to this input when passing data as a dictionary. Example: ```python class MyLayer(Layer): def __init__(self): super().__init__() # The layer will accept inputs with # shape (*, 28, 28) & (*, 28, 28, 1) # and raise an appropriate error message otherwise. self.input_spec = InputSpec( shape=(None, 28, 28, 1), allow_last_axis_squeeze=True) ``` NFc R|tj|nd|_|.tj||_t ||_n||_d|_||_||_||_ ||_ pifdD|_ n'#ttf$rtdwxYw|j rc|j|jW|jr|jn|jdz } t|j } | | kr'td| | dSdSdS)Nc<i|]}t||S)int).0kaxess X/var/www/html/software/conda/lib/python3.11/site-packages/keras/src/layers/input_spec.py z&InputSpec.__init__..Ks%777QQa777zAArgument `axes` must be a dict with integer keys. Received: axes=z5Axis {} is greater than the maximum allowed value: {})rstandardize_dtypedtypestandardize_shapeshapelenndimmax_ndimmin_ndimnameallow_last_axis_squeezer ValueError TypeErrormaxformat) selfrrrrrrrrmax_dimmax_axiss ` r__init__zInputSpec.__init__1sp160AG %e , , ,t    2599DJE DIIDIDJ     '>$ :2D7777$777DIII&   )"&))   9 $)/4=3L$(I@tyy4=AEG49~~H'!! ((.x(A(A   3L3L"!s :B$B6c |jrdt|jznd|jrdt|jznd|jrdt|jznd|jrdt|jznd|jrdt|jznd|jrdt|jzndg}dd d |Dd S) Nzdtype=zshape=zndim=z max_ndim=z min_ndim=zaxes=z InputSpec(z, c3K|]}||V dS)Nr )r xs r z%InputSpec.__repr__..ds'%;%;A%;a%;%;%;%;%;%;r))rstrrrrrrjoin)r!specs r__repr__zInputSpec.__repr__[s,0J >XDJ ' 'B,0J >XDJ ' 'B*.) ;Ws49~~ % %26- G[3t}-- - -R26- G[3t}-- - -R*.) ;Ws49~~ % %  ?DII%;%;%;%;%;;;>>>>rcP|j|j|j|j|j|jdS)Nrrrrrrr0)r!s r get_configzInputSpec.get_configfs/ZZI  I    rc|di|S)Nr r )clsconfigs r from_configzInputSpec.from_configpss}}V}}r)NNNNNNFN) __name__ __module__ __qualname____doc__r$r.r1 classmethodr5r rrrrs''V   % ((((T ? ? ?   [rrcz|sdStj|}t|trzd|D}t |r_g}|D]X}||vr7t d|dt |d||||Y|}tj|}t|t|kr3t d|dt|dt|d |D]8}t|d s&t d |d t|d |d9t|t|kr5t d|dt|dt|d|tt||D]\}\}}| tj|j} t| } |j5|js.| |jkr#t d|d|d|jd| d| |j-| +| |jkr t d|d|d|jd| |j0| .| |jkr#t d|d|d|jd| d| |jDtj|j} | |jkr t d|d|d|jd| |jrK|jD]1\} } | *| | | dhvrt d|d|d| d| d| 2|j~|j}|jr0| r| dd kr | dd} |r|dd kr |dd}t|| D]/\}}|(|&||kr t d|d|d!|jd"| 0dS)#aChecks compatibility between the layer and provided inputs. This checks that the tensor(s) `inputs` verify the input assumptions of a layer (if any). If not, a clear and actional exception gets raised. Args: input_spec: An InputSpec instance, list of InputSpec instances, a nested structure of InputSpec instances, or None. inputs: Input tensor, list of input tensors, or a nested structure of input tensors. layer_name: String, name of the layer (for error message formatting). Raises: ValueError: in case of mismatch between the provided inputs and the expectations of the layer. Ncg|] }|j Sr )r)r r-s r z.assert_input_compatibility..s222t222rzMissing data for input "z*". You passed a data dictionary with keys z. Expected the following keys: zLayer 'z ' expected z input(s). Received z instead.rz*Inputs to a layer should be tensors. Got 'z ' (of type z) as input for layer 'z'.zLayer "z " expects z input(s), but it received z! input tensors. Inputs received: zInput z of layer "z0" is incompatible with the layer: expected ndim=z , found ndim=z. Full shape received: z4" is incompatible with the layer: expected max_ndim=z4" is incompatible with the layer: expected min_ndim=z1" is incompatible with the layer: expected dtype=z, found dtype=z0" is incompatible with the layer: expected axis z of input shape to have value z , but received input with shape rz1" is incompatible with the layer: expected shape=z, found shape=)rflatten isinstancedictallrlistkeysappendrhasattrtype enumerateziprrrrrrrrrritems) input_specinputs layer_namenames list_inputsrr( input_indexr-rrraxisvalue spec_shapespec_dimdims rassert_input_compatibilityrVus" j))J&$!22z222 u:: !K 1 1v%%$@4@@ ..@@9>@@ ""6$<0000 F \& ! !F :#f++%% /j / /S__ / /F  / / /      q'"" JQJJ GGJJ;EJJJ    6{{c*oo%% )j ) )C OO ) ) #F  ) ) & ) )   #,C ,C,C"D"DII Ya < )!'225zz 9 )E ty   4[44Z44%)Y44=A44-244 = $D4=$8$8 )[))Z)))-))#')) = $D4=$8$8 4[44Z44)-44#'44-2 44 : !-ag66E "" +[++Z++&*j++$)++ 9 #y00   e$t=**%)))))FJ))8=))"' )) : !J+ 1'U2Y!^^!#2#JE1*R.A"5"5!+CRCJ!$Z!7!7   #'CO3(3[33Z33.2j33,133IIIrN) keras.srcrrkeras.src.api_exportrrrVr rrrYs------ ":;<<kkkkkkk=<k\EEEEEr