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)
