# Python | Tensorflow asin() method

Tensorflow is an open-source machine learning library developed by Google. One of its applications is to develop deep neural networks.

The module `tensorflow.math` provides support for many basic mathematical operations. Function `tf.asin()` [alias `tf.math.asin`] provides support for the inverse sine function in Tensorflow. It expects the input to be in the range [-1, 1] and gives the output in radian form. It returns nan if the input does not lie in the range [-1, 1]. The input type is tensor and if the input contains more than one element, element-wise inverse sine is computed.

Syntax: tf.asin(x, name=None) or tf.math.asin(x, name=None)

Parameters:
x: A tensor of any of the following types: bfloat16, half, float32, float64, int32, int64, complex64, or complex128.
name (optional): The name for the operation.

Return type: A tensor with the same type as that of x.

Code #1:

 `# Importing the Tensorflow library ` `import` `tensorflow as tf ` ` `  `# A constant vector of size 6 ` `a ``=` `tf.constant([``1.0``, ``-``0.5``, ``3.4``, ``0.2``, ``0.0``, ``-``2``], ` `                            ``dtype ``=` `tf.float32) ` ` `  `# Applying the asin function and ` `# storing the result in 'b' ` `b ``=` `tf.asin(a, name ``=``'asin'``) ` ` `  `# Initiating a Tensorflow session ` `with tf.Session() as sess: ` `    ``print``(``'Input type:'``, a) ` `    ``print``(``'Input:'``, sess.run(a)) ` `    ``print``(``'Return type:'``, b) ` `    ``print``(``'Output:'``, sess.run(b)) `

Output:

```Input type: Tensor("Const_6:0", shape=(6, ), dtype=float32)
Input: [ 1.  -0.5  3.4  0.2  0.  -2. ]
Return type: Tensor("asin_2:0", shape=(6, ), dtype=float32)
Output: [ 1.5707964  -0.5235988          nan  0.20135793  0.                 nan]
```

Code #2: Visualization

 `# Importing the Tensorflow library ` `import` `tensorflow as tf ` ` `  `# Importing the NumPy library ` `import` `numpy as np ` ` `  `# Importing the matplotlib.pylot function ` `import` `matplotlib.pyplot as plt ` ` `  `# A vector of size 15 with values from -1 to 1 ` `a ``=` `np.linspace(``-``1``, ``1``, ``15``) ` ` `  `# Applying the inverse sine function and ` `# storing the result in 'b' ` `b ``=` `tf.asin(a, name ``=``'asin'``) ` ` `  `# Initiating a Tensorflow session ` `with tf.Session() as sess: ` `    ``print``(``'Input:'``, a) ` `    ``print``(``'Output:'``, sess.run(b)) ` `    ``plt.plot(a, sess.run(b), color ``=` `'red'``, marker ``=` `"o"``)  ` `    ``plt.title(``"tensorflow.asin"``)  ` `    ``plt.xlabel(``"X"``)  ` `    ``plt.ylabel(``"Y"``)  ` ` `  `    ``plt.show() `

Output:

```Input: [-1.         -0.85714286 -0.71428571 -0.57142857 -0.42857143 -0.28571429
-0.14285714  0.          0.14285714  0.28571429  0.42857143  0.57142857
0.71428571  0.85714286  1.        ]
Output: [-1.57079633 -1.0296968  -0.79560295 -0.60824558 -0.44291104 -0.2897517
-0.14334757  0.          0.14334757  0.2897517   0.44291104  0.60824558
0.79560295  1.0296968   1.57079633]
```

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