How to store operations in tensorflow using a loop?

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28

import tensorflow as tf

# Define the number of iterations for the loop
num_iterations = 10

# Placeholder for input data
x = tf.placeholder(tf.float32, shape=[None])

# Placeholder for initial value
result = tf.constant(0.0)

# Define the loop
for i in range(num_iterations):
    # Perform some operation in each iteration
    result = tf.add(result, x)

# Create a TensorFlow session
with tf.Session() as sess:
    # Initialize variables
    sess.run(tf.global_variables_initializer())
    
    # Define input data
    input_data = [1, 2, 3, 4, 5]
    
    # Run the loop
    final_result = sess.run(result, feed_dict={x: input_data})
    
    print(final_result)