Computes hyperbolic tangent of `x` element-wise.
Given an input tensor, this function computes hyperbolic tangent of every element in the tensor. Input range is `[-inf, inf]` and output range is `[-1,1]`.
   >>> x = tf.constant([-float("inf"), -5, -0.5, 1, 1.2, 2, 3, float("inf")])
   >>> tf.math.tanh(x)
   
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine | 
Public Methods
| Output<T> | 
 
asOutput()
                
                   
Returns the symbolic handle of the tensor. 
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| static <T extends TType> Tanh<T> | |
| Output<T> | 
 
y()
                
               
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static Tanh<T> create (Scope scope, Operand<T> x)
Factory method to create a class wrapping a new Tanh operation.
Parameters
| scope | current scope | 
|---|
Returns
- a new instance of Tanh