text: import tensorflow as tf
  import numpy as np
  
  sess = tf.Session()
  
  my_array = np.array([[1., 3., 5., 7., 9.],
  [-2., 0., 2., 4., 6.],
  [-6., -3., 0., 3., 6.]])
  x_vals = np.array([my_array, my_array + 1])
  x_data = tf.placeholder(tf.float32, shape=(3, 5))
  
  
  m1 = tf.constant([[1.],[0.],[-1.],[2.],[4.]])
  m2 = tf.constant([[2.]])
  a1 = tf.constant([[10.]])
  
  
  prod1 = tf.matmul(x_data, m1)
  prod2 = tf.matmul(prod1, m2)
  add1 = tf.add(prod2, a1)
  
  
  for x_val in x_vals:
  	print(sess.run(add1, feed_dict={x_data: x_val}))
  
  
  writer = tf.summary.FileWriter('/home/amardeep/tensorflow_learning',sess.graph)
  
  writer.close()