BigGAN_PyTorch/make_hdf5.py [139:169]:
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                print("Producing dataset of len %d" % len(train_loader.dataset))
                imgs_dset = f.create_dataset(
                    "imgs",
                    x.shape,
                    dtype="uint8",
                    maxshape=(
                        len(train_loader.dataset),
                        3,
                        config["resolution"],
                        config["resolution"],
                    ),
                    chunks=(
                        config["chunk_size"],
                        3,
                        config["resolution"],
                        config["resolution"],
                    ),
                    compression=config["compression"],
                )
                print("Image chunks chosen as " + str(imgs_dset.chunks))
                imgs_dset[...] = x
                labels_dset = f.create_dataset(
                    "labels",
                    y.shape,
                    dtype="int64",
                    maxshape=(len(train_loader.dataset),),
                    chunks=(config["chunk_size"],),
                    compression=config["compression"],
                )
                print("Label chunks chosen as " + str(labels_dset.chunks))
                labels_dset[...] = y
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data_utils/make_hdf5.py [257:287]:
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                    print("Producing dataset of len %d" % len(train_loader.dataset))
                    imgs_dset = f.create_dataset(
                        "imgs",
                        x.shape,
                        dtype="uint8",
                        maxshape=(
                            len(train_loader.dataset),
                            3,
                            config["resolution"],
                            config["resolution"],
                        ),
                        chunks=(
                            config["chunk_size"],
                            3,
                            config["resolution"],
                            config["resolution"],
                        ),
                        compression=config["compression"],
                    )
                    print("Image chunks chosen as " + str(imgs_dset.chunks))
                    imgs_dset[...] = x
                    labels_dset = f.create_dataset(
                        "labels",
                        y.shape,
                        dtype="int64",
                        maxshape=(len(train_loader.dataset),),
                        chunks=(config["chunk_size"],),
                        compression=config["compression"],
                    )
                    print("Label chunks chosen as " + str(labels_dset.chunks))
                    labels_dset[...] = y
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