\;j9DddlZddlmZmZddlZddlZddlmZdZ dZ y)N)MappingSequence)corec (|d}t|tjrtj|d}|St|tj t jj frt j|dSt|tjrtj|}|St|ttfr|St|tr-|Dcic]}|t|Dcgc]}|| c}!c}}St|trRt!|t#fdt%|Ds t'dt)|Dcgc] }t|c}St+dt-|cc}wcc}}wcc}w)aV Default batch collating function for :code:`paddle.io.DataLoader`, get input data as a list of sample datas, each element in list if the data of a sample, and sample data should composed of list, dictionary, string, number, numpy array and paddle.Tensor, this function will parse input data recursively and stack number, numpy array and paddle.Tensor datas as batch datas. e.g. for following input data: [{'image': np.array(shape=[3, 224, 224]), 'label': 1}, {'image': np.array(shape=[3, 224, 224]), 'label': 3}, {'image': np.array(shape=[3, 224, 224]), 'label': 4}, {'image': np.array(shape=[3, 224, 224]), 'label': 5},] This default collate function zipped each number and numpy array field together and stack each field as the batch field as follows: {'image': np.array(shape=[4, 3, 224, 224]), 'label': np.array([1, 3, 4, 5])} Args: batch(list of sample data): batch should be a list of sample data. Returns: Batched data: batched each number, numpy array and paddle.Tensor in input data. r)axisc3:K|]}t|k(yw)N)len).0samplesample_fields_nums eG:\00. PROJECTS\API\Inventory\templateJSON\kerjaOCR\Lib\site-packages\paddle/io/dataloader/collate.py z%default_collate_fn..GsN+3v;"33+sz/fileds number not same among samples in a batchzQbatch data con only contains: tensor, numpy.ndarray, dict, list, number, but got ) isinstancenpndarraystackpaddleTensorreagernumbersNumberarraystrbytesrdefault_collate_fnrr alliter RuntimeErrorzip TypeErrortype)batchr keydfieldsr s @rrrs_:1XF&"**%Q' FV]]DJJ,=,=> ?||E** FGNN + FS%L ) FG $HN HNC#U$;UQsVU$;< <   FH %KN$u+NNA :=eEv"6*EE  ''+F|n 6 %< Fs#F 2 F> F FF ct|tjtjt j jfr|St|ttfr|St|tr|Dcic]}|t||c}St|tr|Dcgc] }t|c}S|Scc}wcc}w)a Default batch converting function for :code:`paddle.io.DataLoader`. get input data as a list of sample datas, each element in list if the data of a sample, and sample data should composed of list, dictionary, string, number, numpy array and paddle.Tensor. .. note:: This function is default :attr:`collate_fn` in **Distable automatic batching** mode, for **Distable automatic batching** mode, please ses :attr:`paddle.io.DataLoader` Args: batch(list of sample data): batch should be a list of sample data. Returns: Batched data: batched each number, numpy array and paddle.Tensor in input data. ) rrrrrrrrrrdefault_convert_fnr)r#r$r%s rr(r(Ss&%&--TZZ5F5FGH EC< ( E7 #?DEu'c 33uEE E8 $/45u!"1%u55 F5s 2B6B;) rcollections.abcrrnumpyrr frameworkrrr(rr.s!- 7tr-