~Wh!/dZddlmcmZddlmZddlmZddlm Z edddge d gGd d Z d Z d Z dZ ddZdS)zContains the InputSpec class.N)backend) keras_export) tf_exportzkeras.layers.InputSpecz*keras.__internal__.legacy.layers.InputSpec)v1zlayers.InputSpeccLeZdZdZ ddZdZdZedZdS) InputSpeca\Specifies 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. A None entry in a shape is compatible with any dimension, a None shape is compatible with any shape. Args: dtype: Expected DataType of the input. shape: Shape tuple, expected shape of the input (may include None for unchecked 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, then 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(MyLayer, self).__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 |tj|jnd|_tj|}|jd}n!t |}|t||_ ||_ n||_ d|_ ||_ ||_ ||_||_ pifdD|_n'#tt f$rt!dwxYw|jrc|j |j W|j r|j n|j dz } t#|j} | | kr'td| | dSdSdS)Nc<i|]}t||S)int).0kaxess ]/var/www/html/movieo_spanner_bot/venv/lib/python3.11/site-packages/keras/engine/input_spec.py z&InputSpec.__init__..hs%777QQa777zAArgument `axes` must be a dict with integer keys. Received: axes=z5Axis {} is greater than the maximum allowed value: {})tfas_dtypenamedtype TensorShaperanktupleas_listlenndimshapemax_ndimmin_ndimallow_last_axis_squeezer ValueError TypeErrormaxformat) selfrrrrr rr!rmax_dimmax_axiss ` r__init__zInputSpec.__init__Ks160AR['',,t u%% : EE%--//**E  E DIDJJDIDJ     '>$ :2D7777$777DIII&   )"&))   9 $)/4=3L$(I@tyy4=AEG49~~H'!! ((.x(A(A   3L3L"!s ,C$C(c |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 dSNr )r xs r z%InputSpec.__repr__..s'%;%;A%;a%;%;%;%;%;%;r))rstrrrrr rjoin)r&specs r__repr__zInputSpec.__repr__xs,0J >XDJ ' 'B,0J >XDJ ' 'B*.) ;Ws49~~ % %26- G[3t}-- - -R26- G[3t}-- - -R*.) ;Ws49~~ % %  ?DII%;%;%;%;%;;;>>>>rcP|j|j|j|j|j|jdS)Nrrrrr rr6)r&s r get_configzInputSpec.get_configs/ZZI  I    rc|di|S)Nr r )clsconfigs r from_configzInputSpec.from_configss}}V}}r)NNNNNNFN) __name__ __module__ __qualname____doc__r)r4r7 classmethodr;r rrrrs ''V   % ++++Z ? ? ?   [rrc|j|jtjdS|jtj|jSdg|jz}|jD]}|j|||<tj|S)a@Returns a tf.TensorShape object that matches the shape specifications. If the InputSpec's shape or ndim is defined, this method will return a fully or partially-known shape. Otherwise, the returned TensorShape is None. Args: spec: an InputSpec object. Returns: a tf.TensorShape object N)rrrrr)r3ras rto_tensor_shaperCs} yTZ/~d###  ~dj)))" $ $Ay|E!HH~e$$$rc|sdStj|}t|trzd|D}t |r_g}|D]X}||vr7t d|dt|d|| ||Y|}tj|}|D]8}t|ds&td|dt|d |d 9t|t|kr5t d |d t|d t|d|tt||D]\}\}}| tj|j} | jdS|jI|jsB| j} | |jkr0t d|d|d|jd| dt+|  |j9|jj} | +| |jkr t d|d|d|jd| |jI|jj} | ;| |jkr0t d|d|d|jd| dt+|  |j:|jj|jkr%t d|d|d|jd|j| } |jr|jD]g\} } t| dr| j} | I| t=| | dhvr0t d|d|d| d| dt?|j h|j| j|j}|jr0| r| ddkr | dd} |r|ddkr |dd}t|| D]A\}}|:|8||kr2t d|d|d|jdt?|jBdS) 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 r3s r z.assert_input_compatibility..s222t222rzMissing data for input "z*". You passed a data dictionary with keys z. Expected the following keys: 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=valuez0" 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=) rnestflatten isinstancedictallr"listkeysappendhasattrr#typer enumerateziprrrrr!rrr rrrritemsrGr display_shape) input_specinputs layer_namenames list_inputsrr. input_indexr3rr shape_as_listaxisrG spec_shapespec_dimdims rassert_input_compatibilityrbs " ,,J&$!22z222 u:: !K 1 1v%%$@4@@ ..@@9>@@ ""6$<0000 F W__V $ $F    q'"" JQJJ GGJJ;EJJJ    6{{c*oo%% )j ) )C OO ) ) #F  ) ) & ) )   #,C ,C,C"D"DOO Ya < qw'' :  FF 9 )E :Dty   ;[;;Z;;%)Y;;=A;;-2%LL;; = $7rns*"$#!!!!!!!!!:99999666666 "NO !"###nnnnnnn$#  nb%%%.FFFR'''......r