tensorflow_backend.py 文件源码

def hard_sigmoid(x):
    """Segment-wise linear approximation of sigmoid.
    Faster than sigmoid.
    Returns `0.` if `x < -2.5`, `1.` if `x > 2.5`.
    In `-2.5 <= x <= 2.5`, returns `0.2 * x + 0.5`.

    # Arguments
        x: A tensor or variable.

    # Returns
        A tensor.
    """
    x = (0.2 * x) + 0.5
    zero = _to_tensor(0., x.dtype.base_dtype)
    one = _to_tensor(1., x.dtype.base_dtype)
    x = tf.clip_by_value(x, zero, one)
    return x