Introduction to tensorflow.raw_ops.Asinh()

The tensorflow.raw_ops.Asinh() function is a TensorFlow operation that calculates the hyperbolic arcsine of a given input value or tensor element-wise. The hyperbolic arcsine function is also known as the inverse hyperbolic sine function, or the area hyperbolic sine function. The function is defined mathematically as follows:

arcsinh(x) = ln(x + sqrt(x^2 + 1))

The tensorflow.raw_ops.Asinh() function takes an input tensor and returns a tensor of the same shape and dtype, with each element computed as the hyperbolic arcsine of the corresponding element in the input tensor.

Syntax

tensorflow.raw_ops.Asinh(
    x, name=None
)

Parameters

• x: A Tensor. Must be one of the following types: float32, float64. Input tensor. The input tensor can have any shape.

• name: An optional name for the operation.

Return Value

A Tensor. Has the same type as x.

Example Usage

import tensorflow as tf

x = tf.constant([1.5, 2.0, -0.5, -1.0])
y = tf.raw_ops.Asinh(x)

with tf.Session() as sess:
    print(sess.run(y))

Output:

[1.194763, 1.443635, -0.481212, -0.881374]

In this example code, we first define a constant tensor x with four elements. We then call the tensorflow.raw_ops.Asinh() function to calculate the hyperbolic arcsine of each element in x, and store the results in a new tensor y. We then run a TensorFlow session and evaluate the y tensor to print the output.

The output shows that the hyperbolic arcsine of the input tensor values are computed correctly. Note that the output tensor y has the same shape and dtype as the input tensor x.