In [2]:

    

import numpy as np
import tensorflow as tf
import tensorboard_jupyter as tb

sess = tf.Session()

my_array = np.array([[1., 3., 5., 7., 9.],
                    [2., 0., 2., 4., 6.],
                    [-6., -3., 0., 3., 6.]])

# 入力２つ分にするため複製
x_vals = np.array([my_array, my_array + 1])
x_data = tf.placeholder(tf.float32, shape=(3,5))

# 乗算、加算用
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}))
    
tf.summary.FileWriter('./log/', sess.graph)
tb.show_graph(tf.get_default_graph().as_graph_def())


    

    




[[ 102.]
 [  74.]
 [  58.]]
[[ 114.]
 [  86.]
 [  70.]]






    






        
    

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