

def any(x, axis=None, keepdims=False):
    'Bitwise reduction (logical OR).\n\n    Returns an uint8 tensor (0s and 1s).\n    '
    axis = _normalize_axis(axis, ndim(x))
    x = tf.cast(x, tf.bool)
    x = tf.reduce_any(x, reduction_indices=axis, keep_dims=x)
    return tf.cast(x, tf.uint8)

dataset/ETHPy150Open fchollet/keras/keras/backend/tensorflow_backend.py any/VarMisuse@59/102 `keepdims`->`x`