module 'tensorflow' has no attribute 'run'

Question

Code:

import numpy as np
import tensorflow as tf


a3dim = np.array([[[1,2],[3,4]],
                  [[5,6],[7,8]]
                 ])

print("a3dim Shape: ", a3dim.shape)

tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)

print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])

print('run(tf_t) : \n', tf.run(tf_t))

When I run this program, I have the following error:

Error:

AttributeError                            Traceback (most recent call last)
<ipython-input-9-3506c45f6784> in <module>()
     15 print('tf_t[1][1][1] : ',tf_t[1][1][1])
     16 
---> 17 print('run(tf_t) : \n', tf.run(tf_t))

AttributeError: module 'tensorflow' has no attribute 'run'

How do I solve this tensorflow issue? Is it a version problem?

D_negn · Accepted Answer · 2018-11-12 10:40:27Z

1

you have to first create a session to run tf_t then something like session.run(tf_t) would work.

answered Nov 12, 2018 at 10:40

D_negn

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1 Comment

Ilse Over a year ago

added with tf_t.Session() as tfs print('run(tf_t) : \n', tfs.run(tf_t)) I have now as error: File "<ipython-input-34-19330f20e031>", line 17 with tf_t.Session() as tfs ^ SyntaxError: invalid syntax

myhaspldeep · Accepted Answer · 2018-11-12 11:45:22Z

import numpy as np
import tensorflow as tf


a3dim = np.array([[[1,2],[3,4]],
                  [[5,6],[7,8]]
                 ])

print("a3dim Shape: ", a3dim.shape)

tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)

print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])
sess=tf.Session()#create session
print('run(tf_t) : \n', sess.run(tf_t))
sess.close()#close session

Tensorflow needs graph and Session to compute. The first step of the startup graph is to create a Session object. If there are no creation parameters, the Session builder will start the default graph. Session manages all resources of the TensorFlow program runtime. The Session needs to be closed after all calculations are completed to help the system recycle resources, otherwise the problem of resource leakage may occur.

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