tf.math.tanh
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Computes hyperbolic tangent of x
element-wise.
tf.math.tanh(
x, name=None
)
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) ==> [-1. -0.99990916 -0.46211717 0.7615942 0.8336547 0.9640276 0.9950547 1.]
Args |
x
|
A Tensor . Must be one of the following types: bfloat16 , half , float32 , float64 , complex64 , complex128 .
|
name
|
A name for the operation (optional).
|
Returns |
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)
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.math.tanh\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/math/tanh) |\n\nComputes hyperbolic tangent of `x` element-wise.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.nn.tanh`](/api_docs/python/tf/math/tanh), [`tf.tanh`](/api_docs/python/tf/math/tanh)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.math.tanh`](/api_docs/python/tf/math/tanh), [`tf.compat.v1.nn.tanh`](/api_docs/python/tf/math/tanh), [`tf.compat.v1.tanh`](/api_docs/python/tf/math/tanh)\n\n\u003cbr /\u003e\n\n tf.math.tanh(\n x, name=None\n )\n\nGiven an input tensor, this function computes hyperbolic tangent of every\nelement in the tensor. Input range is `[-inf, inf]` and\noutput range is `[-1,1]`.\n\u003e\n\u003e x = tf.constant([-float(\"inf\"), -5, -0.5, 1, 1.2, 2, 3, float(\"inf\")])\n\u003e tf.math.tanh(x) ==\u003e [-1. -0.99990916 -0.46211717 0.7615942 0.8336547 0.9640276 0.9950547 1.]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|----------------------------------------------------------------------------------------------------------------------|\n| `x` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `complex64`, `complex128`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `x`. \u003cbr /\u003e If `x` is a `SparseTensor`, returns `SparseTensor(x.indices, tf.math.tanh(x.values, ...), x.dense_shape)` ||\n\n\u003cbr /\u003e"]]