Python - tensorflow.raw_ops.Cos()

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. Cos() is used to find element wise cosine of x.

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

Parameters:

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([1, 2, 3, 4, 5], dtype = tf.float64) 
  
# Printing the input tensor 
print('Input: ', a) 
  
# Calculating cosine 
res = tf.raw_ops.Cos(x = a) 
  
# Printing the result 
print('Result: ', res) 

Output:

Input:  tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64)
Result:  tf.Tensor([ 0.54030231 -0.41614684 -0.9899925  -0.65364362  0.28366219], shape=(5, ), 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([1, 2, 3, 4, 5], dtype = tf.float64) 
  
# Calculating cosine 
res = tf.raw_ops.Cos(x = a) 
  
# Plotting the graph 
plt.plot(a, res, color ='green') 
plt.title('tensorflow.raw_ops.Cos') 
plt.xlabel('Input') 
plt.ylabel('Result') 
plt.show() 

Output:

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aman neekhara

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