class_docstr: CINIC-10 dataset [DCA+18]_.
  
  A dataset with the same classes as CIFAR-10, but with downscaled images
  from various matching ImageNet classes added in to increase the size of
  the dataset.
  
  .. [DCA+18] Darlow L.N., Crowley E.J., Antoniou A., and A.J. Storkey
      (2018) CINIC-10 is not ImageNet or CIFAR-10. Report
      EDI-INF-ANC-1802 (arXiv:1810.03505)
class_docstr_tok: ["CINIC-10","dataset","[","DCA+18","]","_",".","A","dataset","with","the","same","classes","as","CIFAR-10",",","but","with","downscaled","images","from","various","matching","ImageNet","classes","added","in","to","increase","the","size","of","the","dataset",".","..","[","DCA+18","]","Darlow","L.N.",",","Crowley","E.J.",",","Antoniou","A.",",","and","A.J",".","Storkey","(","2018",")","CINIC-10","is","not","ImageNet","or","CIFAR-10",".","Report","EDI-INF-ANC-1802","(","arXiv:1810.03505",")"]
docstr_tok: []
code: def __init__(self, data_path, **kwargs):
      """ """
      ds_kwargs = {
          "num_classes": 10,
          "mean": ch.tensor([0.47889522, 0.47227842, 0.43047404]),
          "std": ch.tensor([0.24205776, 0.23828046, 0.25874835]),
          "custom_class": None,
          "label_mapping": None,
          "transform_train": da.TRAIN_TRANSFORMS_DEFAULT(32),
          "transform_test": da.TEST_TRANSFORMS_DEFAULT(32),
      }
      ds_kwargs = self.override_args(ds_kwargs, kwargs)
      super(CINIC, self).__init__("cinic", data_path, **ds_kwargs)
  
imports: import pathlib
  import torch
  import torch.utils.data
  from .None import imagenet_models, cifar_models
  from torchvision import transforms, datasets
  from .tools import constants
  from .tools import openimgs_helpers
  from .None import data_augmentation
  from .None import loaders
  from .tools.helpers import get_label_mapping
label_desc: Use image node_id 1 to create a new CINIC object from inherited base classes: DataSet with example: obj = CINIC(data_path)