cc2d9b5263ee814f559151b89504ecd1a6752b14,tensorflow_datasets/image/celeba.py,CelebA,_split_generators,#CelebA#Any#,59

Before Change

  def _split_generators(self, dl_manager):
    files = dl_manager.download_and_extract(IMG_ALIGNED_DATA)
    img_list_path = dl_manager.download_and_extract(EVAL_LIST)
    return [
        tfds.core.SplitGenerator(
            name=tfds.Split.TRAIN,
            num_shards=10,

After Change

    // TODO(b/120128659): pass the map directly to download_and_extract
    //                    after this is supported by the test framework.
    extracted_dirs = {
        key: dl_manager.download_and_extract(path) for key, path in {
            "img_align_celeba": IMG_ALIGNED_DATA,
            "list_eval_partition": EVAL_LIST,
            "list_attr_celeba": ATTR_DATA,
            "landmarks_celeba": LANDMARKS_DATA
        }.items()
    }
    return [
        tfds.core.SplitGenerator(

Instances