tensorflow_backend.py 文件源码

def clip(x, min_value, max_value):
    """Element-wise value clipping.

    If min_value > max_value, clipping range is [min_value,min_value].

    # Arguments
        x: Tensor or variable.
        min_value: Tensor, float, int, or None.
            If min_value is None, defaults to -infinity.
        max_value: Tensor, float, int, or None.
            If max_value is None, defaults to infinity.

    # Returns
        A tensor.
    """
    if max_value is None:
        max_value = np.inf
    if min_value is None:
        min_value = -np.inf
    min_value = _to_tensor(min_value, x.dtype.base_dtype)
    max_value = _to_tensor(max_value, x.dtype.base_dtype)
    max_value = tf.maximum(min_value, max_value)
    return tf.clip_by_value(x, min_value, max_value)