|hdfdZddlmZddlmZddlmZdZdZdZ dZ dd Z d Z d Z dd ZdZy )zDContains layer utilities for input validation and format conversion.) smart_cond)cond) variablesc|dk(r!|dk(ry|dk(ry|dk(rytd|d |d k(r!|dk(ry |dk(ry |dk(ry td|d td|d)N channels_lastNWCNHWCNDHWCz Input rank: z5 not supported. We only support input rank 3, 4 or 5.channels_firstNCWNCHWNCDHWzInvalid data_format: z5. We only support "channels_first" or "channels_last") ValueError) data_formatndims ]/var/www/html/test/engine/venv/lib/python3.12/site-packages/tensorflow/python/layers/utils.pyconvert_data_formatrsO# qy      dV,// 00&& qy      dV,// 00 ,[M:;; <<ct|tr|f|zS t|}t ||k7r&t d|dt |dt ||D]} t||S#t$r't d|dt |dt |wxYw#ttf$rHt d|dt |dt |dt |dt t| wxYw)aTransforms a single integer or iterable of integers into an integer tuple. Args: value: The value to validate and convert. Could an int, or any iterable of ints. n: The size of the tuple to be returned. name: The name of the argument being validated, e.g. "strides" or "kernel_size". This is only used to format error messages. Returns: A tuple of n integers. Raises: ValueError: If something else than an int/long or iterable thereof was passed. z Argument `z` must be a tuple of z integers. Received: z including element z of type ) isinstanceinttuple TypeErrorrstrlentype)valuenname value_tuple single_values rnormalize_tupler%0s7"s 8a<<%Lk ;1 D6)>s1vhG..1%j\; <<#7 7 L7  < D6)>s1vhG..1%j\; <<<) $7:dV+@QI003E |;N -.i\ 23467 77s A, B,0BAC6c^|j}|dvrtdt|d|S)N>rrzWThe `data_format` argument must be one of "channels_first", "channels_last". Received: .lowerrr)r rs rnormalize_data_formatr*WsA +;; EE |1& '' rc^|j}|dvrtdt|d|S)N>samevalidzAThe `padding` argument must be one of "valid", "same". Received: r'r()r paddings rnormalize_paddingr/`s= KKM' %% ""%g,q2 33 .rc|y|dvsJ||dz |dz zz}|dk(r|}n|dk(r ||z dz}n |dk(r||zdz }|zdz |zS)aDetermines output length of a convolution given input length. Args: input_length: integer. filter_size: integer. padding: one of "same", "valid", "full". stride: integer. dilation: dilation rate, integer. Returns: The output length (integer). N>fullr,r-r,r-r1) input_length filter_sizer.stridedilationdilated_filter_size output_lengths rconv_output_lengthr:hs  - -- -#{Q8a<&HH  M' #66:M& #66:M & 1 $ //rcp|y|dvsJ|dk(r|dz}n|dk(rd}n |dk(r|dz }|dz |zdzz |zS) zDetermines input length of a convolution given output length. Args: output_length: integer. filter_size: integer. padding: one of "same", "valid", "full". stride: integer. Returns: The input length (integer). N>r1r,r-r,r-rr1r2r3)r9r5r.r6pads rconv_input_lengthr>sj  - -- -   C' C& /C ! v %C /+ ==rch|y||z}|dk(r|t||z dz }|S|dk(r |||zdz z}|S)aDetermines output length of a transposed convolution given input length. Args: input_length: integer. filter_size: integer. padding: one of "same", "valid", "full". stride: integer. Returns: The output length (integer). Nr-rr1r<)max)r4r5r.r6s rdeconv_output_lengthrAsa &, C f,a00L &Vk)A-.L rNct|tjrtj||||St j ||||S)aReturn either `true_fn()` if predicate `pred` is true else `false_fn()`. If `pred` is a bool or has a constant value, we return either `true_fn()` or `false_fn()`, otherwise we use `tf.cond` to dynamically route to both. Args: pred: A scalar determining whether to return the result of `true_fn` or `false_fn`. true_fn: The callable to be performed if pred is true. false_fn: The callable to be performed if pred is false. name: Optional name prefix when using `tf.cond`. Returns: Tensors returned by the call to either `true_fn` or `false_fn`. Raises: TypeError: If `true_fn` or `false_fn` is not callable. )true_fnfalse_fnr")rrVariabler smart_moduler)predrCrDr"s rrrsJ&i(() 99 gt ==   GhT ;;rct|tr|dk(rd}n|dk(rd}t|tjryt j |S)aReturn the bool value for `pred`, or None if `pred` had a dynamic value. Args: pred: A scalar, either a Python bool or a TensorFlow boolean variable or tensor, or the Python integer 1 or 0. Returns: True or False if `pred` has a constant boolean value, None otherwise. Raises: TypeError: If `pred` is not a Variable, Tensor or bool, or Python integer 1 or 0. r2TrFN)rrrrErFsmart_constant_value)rGs rconstant_valuerJsJc qy d  di(()   * *4 00r)r2)NNN)__doc__tensorflow.python.frameworkrrFtensorflow.python.opsrrrr%r*r/r:r>rArJr3rrrNsB KB&+<4$N04>0,;41r