def relu6(features, name=None): """Computes Rectified Linear 6: `min(max(features, 0), 6)`. Args: features: A `Tensor` with type `float`, `double`, `int32`, `int64`, `uint8`, `int16`, or `int8`. name: A name for the operation (optional). Returns: A `Tensor` with the same type as `features`. """ with ops.op_scope([features], name, "Relu6") as name: features = ops.convert_to_tensor(features, name="features") return gen_nn_ops._relu6(features, name=name)
def relu6(features, name=None): """Computes Rectified Linear 6: `min(max(features, 0), 6)`. Args: features: A `Tensor` with type `float`, `double`, `int32`, `int64`, `uint8`, `int16`, or `int8`. name: A name for the operation (optional). Returns: A `Tensor` with the same type as `features`. """ with ops.op_scope([features], name, "Relu6") as name: features = ops.convert_to_tensor(features, name="features") return gen_nn_ops._relu6(features, name=name)