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Computes hyperbolic tangent of x element-wise.

Used in the notebooks

Used in the guide Used in the tutorials

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.Tensor: shape=(8,), dtype=float32, numpy=
    array([-1.        , -0.99990916, -0.46211717,  0.7615942 ,  0.8336547 ,
            0.9640276 ,  0.9950547 ,  1.        ], dtype=float32)>

x A Tensor. Must be one of the following types: bfloat16, half, float32, float64, complex64, complex128.
name A name for the operation (optional).

A Tensor. Has the same type as x.

If x is a SparseTensor, returns SparseTensor(x.indices, tf.math.tanh(x.values, ...), x.dense_shape)