ij`)\ddlmZddlmZddlmZeddgGddZdZy ) )backend)tree) keras_exportzkeras.InputSpeczkeras.layers.InputSpeccFeZdZdZ ddZdZdZedZy) InputSpecaSpecifies 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. optional: Boolean, whether the input is optional or not. An optional input can accept `None` values. 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) ``` Nc |tj|nd|_|+tj||_t ||_n||_d|_||_||_||_ | |_ ||_ |xsi}|D cic]} t| || c} |_ |jrv|j |j]|j r |j n |jdz } t!|j} | | kDrtdj#| | yyycc} w#ttf$rtd|wxYw)NzAArgument `axes` must be a dict with integer keys. Received: axes=z5Axis {} is greater than the maximum allowed value: {})rstandardize_dtypedtypestandardize_shapeshapelenndimmax_ndimmin_ndimnameoptionalallow_last_axis_squeezeintaxes ValueError TypeErrormaxformat) selfr r rrrrrrrkmax_dimmax_axiss p/var/www/html/emotional.easysim.app/public_html/venv/lib/python3.12/site-packages/keras/src/layers/input_spec.py__init__zInputSpec.__init__3sM160AG % %e ,t    2259DJE DIDIDJ       '>$ :2D267QQa7DI 99$))/4==3L$(IItyy4==AEG499~H'! ((.x(A"4M98I& ""&)  s> D.D)D.)D..E c |jrdt|jnd|jrdt|jnd|jrdt|jnd|jrdt|jnd|j rdt|j nd|j rdt|j ndg}dd jd |Dd S) Nzdtype=zshape=zndim=z max_ndim=z min_ndim=zaxes=z InputSpec(, c3&K|] }|s| yw)N).0xs r z%InputSpec.__repr__..hs%;Aa%;s))r strr rrrrjoin)rspecs r__repr__zInputSpec.__repr___s,0JJvc$**o& 'B,0JJvc$**o& 'B*.))uS^$ %26--yT]]+, -R26--yT]]+, -R*.))uS^$ %  DII%;%;;>c|j|j|j|j|j|j |j dS)Nr r rrrrrr0)rs r get_configzInputSpec.get_configjs=ZZZZII  II   r.c|di|S)Nr%r%)clsconfigs r from_configzInputSpec.from_configus}V}r.) NNNNNNFNF) __name__ __module__ __qualname____doc__r r-r1 classmethodr5r%r.rrrsI)Z   % *X ?  r.rc|sytj|}t|trr|Dcgc]}|j}}t |rNg}|D]E}||vr+t d|dt|jd||j||G|}tj|}t|t|k7r|Dcgc]}||j}}t|t|k(rQt |rFt d|dt|d|dt|d d jd |Dzd zt d|dt|d t|d|tt||D]\}\} }| | |jrt| dst d| dt!| d|dt#j$| j&} t| } |j(L|j*s@| |j(k7r1t d|d|jd|d|j(d| d| |j,?| =| |j,kDr.t d|d|jd|d|j,d| |j.B| @| |j.kr1t d|d|jd|d|j.d| d| |j0\t#j2| j0} | |j0k7r.t d|d|jd|d|j0d| |j4rU|j4j7D]8\} }| | | |dhvst d|d|jd|d| d|d | |j&8|j&}|j*r| r | d!d"k(r| dd!} |r |d!d"k(r|dd!}t|| D]>\}}| | ||k7st d|d|jd|d#|j&d$| ycc}wcc}w)%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. NzMissing data for input "z*". You passed a data dictionary with keys z. Expected the following keys: zLayer "z " expects z named input(s) with keys z, but it received z4 input tensors. Pass inputs as a dict, e.g. `layer({r#c3(K|] }d|d yw)'z': ...Nr%)r&ns rr(z-assert_input_compatibility..s>aas&M>sz})`.z input(s), but it received z! input tensors. Inputs received: r z*Inputs to a layer should be tensors. Got 'z ' (of type z) as input for layer 'z'.zInput z with name '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 r z1' is incompatible with the layer: expected shape=z, found shape=)rflatten isinstancedictrallrlistkeysappendrr+ enumerateziprhasattrtyperr r rrrrr r ritems) input_specinputs layer_namer,names list_inputsr spec_names input_indexr'r rr axisvalue spec_shapespec_dimdims rassert_input_compatibilityrXzsF" j)J&$'12t22 u:K 1v%$24&9B ./088=w@ ""6$<0 1!F \\& !F 6{c*o%,6KD$:JdiiK K z?c*o -#j/*ZJ/@A&&0\1Cv;- ))>:>> ?   j\C O+<= #F }- &x )  #,C ,C"DT Ya <  9  q'"r[s=- ":;<pp=pfKr.