Python Coding challenge - Day 676| What is the output of the following Python Code?

 

Code Explanation:

1. Import TensorFlow

import tensorflow as tf

Imports TensorFlow library.

TensorFlow is used for numerical computing with tensors (multidimensional arrays).

2. Define Tensor x

x = tf.constant([2,4,6], dtype=tf.float32)

Creates a constant tensor with values [2, 4, 6].

Data type is explicitly set to float32.

Value of x:

<tf.Tensor: shape=(3,), dtype=float32, numpy=array([2., 4., 6.], dtype=float32)>

3. Define Tensor y

y = tf.constant([1,2,3], dtype=tf.float32)

Creates another constant tensor with values [1, 2, 3].

Value of y:

<tf.Tensor: shape=(3,), dtype=float32, numpy=array([1., 2., 3.], dtype=float32)>

4. Multiply Element-wise

x * y

TensorFlow performs element-wise multiplication:

[2,4,6]×[1,2,3]=[2,8,18]

5. Reduce Sum

z = tf.reduce_sum(x * y)

tf.reduce_sum adds up all elements in the tensor [2, 8, 18].

2+8+18=28

So, z becomes:

<tf.Tensor: shape=(), dtype=float32, numpy=28.0>

6. Convert Tensor to NumPy

print(z.numpy())

.numpy() extracts the raw number from the Tensor.

Final Output

28.0

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