bd97dee4fc635d8aa8707c4fbac39e569e9f148d,tensorlayer/files.py,,load_cifar10_dataset,#,113

Before Change

        tar.close()
        print("Extracted to %s" % names[0])

    if not os.path.exists("cifar-10-batches-py"):
        download(filename)
        un_tar(filename)

    def unpickle(file):
        fp = open(file, "rb")
        if sys.version_info.major == 2:
            data = pickle.load(fp)

After Change

        return data

    filename = "cifar-10-python.tar.gz"
    url = "https://www.cs.toronto.edu/~kriz/"
    //Download and uncompress file
    maybe_download_and_extract(filename, path, url, extract=True)

    //Unpickle file and fill in data
    X_train = None
    y_train = []

Instances