b0500764a8a451882262328c0f1676402fb0a783,keras/datasets/mnist.py,,load_data,#Any#,7

Before Change

    
    path = get_file(path, origin="https://s3.amazonaws.com/img-datasets/mnist.pkl.gz")

    if path.endswith(".gz"):
        f = gzip.open(path, "rb")
    else:
        f = open(path, "rb")

    if sys.version_info < (3,):
        data = cPickle.load(f)
    else:
        data = cPickle.load(f, encoding="bytes")

    f.close()
    return data  // (x_train, y_train), (x_test, y_test)

After Change

        Tuple of Numpy arrays: `(x_train, y_train), (x_test, y_test)`.
    
    path = get_file(path, origin="https://s3.amazonaws.com/img-datasets/mnist.npz")
    f = np.load(path)
    x_train = f["x_train"]
    y_train = f["y_train"]
    x_test = f["x_test"]
    y_test = f["y_test"]
    f.close()
    return (x_train, y_train), (x_test, y_test)

Instances