Python – tensorflow.raw_ops.Acos()

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. Acos() is used to find element wise acos of x.

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

Arguments:

• x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64.
• name(optional): It 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 Acos
res = tf.raw_ops.Acos(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([1.36943841 1.04719755 0.79539883 0.        ], 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 Acos
res = tf.raw_ops.Acos(x=a)

# Plotting the graph
plt.plot(a, res, color='green')
plt.title('tensorflow.raw_ops.Acos')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()

Output:

tensorflow.raw_ops.Acos