from tensorflow.python.ops import math_ops

    random_tensor += random_ops.random_uniform(
        noise_shape, seed=seed, dtype=x.dtype)
    # 0. if [keep_prob, 1.0) and 1. if [1.0, 1.0 + keep_prob)
    binary_tensor = math_ops.floor(random_tensor)
    ret = x * math_ops.inv(keep_prob) * binary_tensor
    ret.set_shape(x.get_shape())
