Python | Tensorflow sin() method

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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.sin() [alias tf.math.sin] provides support for the sine function in Tensorflow. It expects the input in radian form and the output is in the range [-1, 1]. The input type is tensor and if the input contains more than one element, element-wise sine is computed.

Syntax: tf.sin(x, name=None) or tf.math.sin(x, name=None)
Parameters:
x: A tensor of any of the following types: float16, float32, float64, complex64, or complex128.
name (optional): The name for the operation.
Return type: A tensor with the same type as that of x.

Code #1:

Python3

# Importing the Tensorflow library
import tensorflow as tf
 
# A constant vector of size 6
a = tf.constant([1.0, -0.5, 3.4, -2.1, 0.0, -6.5], dtype = tf.float32)
 
# Applying the sin function and
# storing the result in 'b'
b = tf.sin(a, name ='sin')
 
# 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_1:0", shape=(6, ), dtype=float32)
Input: [ 1.        -0.5        3.4000001 -2.0999999  0.        -6.5      ]
Return type: Tensor("sin_0:0", shape=(6, ), dtype=float32)
Output: [ 0.84147096 -0.47942555 -0.25554121 -0.86320943  0.         -0.21511999]

Code #2: Visualization

Python3

# Importing the Tensorflow library
import tensorflow as tf
 
# Importing the NumPy library
import numpy as np
 
# Importing the matplotlib.pyplot function
import matplotlib.pyplot as plt
 
# A vector of size 15 with values from -5 to 5
a = np.linspace(-5, 5, 15)
 
# Applying the sin function and
# storing the result in 'b'
b = tf.sin(a, name ='sin')
 
# 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.sin") 
    plt.xlabel("X") 
    plt.ylabel("Y") 
 
    plt.show()

Output:

Input: [-5.         -4.28571429 -3.57142857 -2.85714286 -2.14285714 -1.42857143
 -0.71428571  0.          0.71428571  1.42857143  2.14285714  2.85714286
  3.57142857  4.28571429  5.        ]
Output: [ 0.95892427  0.91034694  0.41672165 -0.2806294  -0.84078711 -0.98990308
 -0.6550779   0.          0.6550779   0.98990308  0.84078711  0.2806294
 -0.41672165 -0.91034694 -0.95892427]