# Python – tensorflow.raw_ops.Asin()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning  neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Asin() is used to find element wise inverse sine of x.

Syntax: tf.raw_ops.Asin(x, name)

Arguments:

• x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64.
• name(optional): It’s defines the name for the operation.

Returns:  It returns a tensor of same dtype as x.

Note: It only takes keyword arguments.

Example 1:

## Python3

 `# Importing the library ` `import` `tensorflow as tf ` ` `  `# Initializing the input tensor ` `a ``=` `tf.constant([.``2``, .``5``, .``7``, ``1``], dtype``=``tf.float64) ` ` `  `# Printing the input tensor ` `print``(``'Input: '``, a) ` ` `  `# Calculating inverse sine ` `res ``=` `tf.raw_ops.Asin(x``=``a) ` ` `  `# Printing the result ` `print``(``'Result: '``, res) `

Output:

```Input:  tf.Tensor([0.2 0.5 0.7 1. ], shape=(4,), dtype=float64)
Result:  tf.Tensor([0.20135792 0.52359878 0.7753975  1.57079633], shape=(4,), dtype=float64)

```

Example 2: Visualization

## Python3

 `# importing the library ` `import` `tensorflow as tf ` `import` `matplotlib.pyplot as plt ` ` `  `# Initializing the input tensor ` `a ``=` `tf.constant([.``2``, .``5``, .``7``, ``1``], dtype``=``tf.float64) ` ` `  `# Calculating inverse sine ` `res ``=` `tf.raw_ops.Asin(x``=``a) ` ` `  `# Plotting the graph ` `plt.plot(a, res, color``=``'green'``) ` `plt.title(``'tensorflow.raw_ops.Asin'``) ` `plt.xlabel(``'Input'``) ` `plt.ylabel(``'Result'``) ` `plt.show() `

Output:

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