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

Question

In attempting to run the following in PyCharm 2017.3.1:

with open('../data/UrbanSound8K/retrained_graph.pb', 'rb') as f:
    graph_def = tf.GraphDef()
    graph_def.ParseFromString(f.read())
    tf.import_graph_def(graph_def, name='')

I receive the following:

/anaconda/bin/python3 /Users/PycharmProjects/UrbanSound/src/recognize_sound.py
Traceback (most recent call last):
  File "/Users/PycharmProjects/UrbanSound/src/recognize_sound.py", line 12, in <module>
    graph_def = tf.GraphDef()
AttributeError: module 'tensorflow' has no attribute 'GraphDef'

Here is some environment information:

(tensorflow) $ python3 -c 'import tensorflow as tf; print(tf.__version__)'
1.4.0
(tensorflow) $ python -V
Python 3.6.2

Thank you in advance for your help.

Which version of TF is supposed to support a public interface for GraphDef? — nbro
– nbro, Commented Dec 22, 2017 at 17:25
@B33l238u8 could you please explain how you corrected your virtualenv to point to tensorflow? I'm having the same problem. Thanks in advance. — Serpentr
– Serpentr, Commented Mar 13, 2019 at 22:11
You ran python3 -c ... for tf version, but you ran python -V for your python version, is python3 set as 3.6.2 (same as python) ? — null
– null, Commented Oct 3, 2019 at 11:16

Viktor Nikolaev · Accepted Answer · 2019-10-07 02:49:07Z

1

I resolved it using

python36 -m pip install tensorflow-gpu==1.14

edited Oct 7, 2019 at 2:49

answered Oct 3, 2019 at 11:08

Viktor Nikolaev

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2 Comments

Tushar - iOS developer Over a year ago

Collecting tensorflow-gpu==1.14   ERROR: Could not find a version that satisfies the requirement tensorflow-gpu==1.14 (from versions: none) ERROR: No matching distribution found for tensorflow-gpu==1.14

I got this error.

Tushar - iOS developer Over a year ago

I resolved it using python3 -m pip install tensorflow==1.14

Cshir · Accepted Answer · 2020-05-06 18:50:47Z

1

use "tf.compat.v1.GraphDef()" instead if you are using tensorflow 2.0

answered May 6, 2020 at 18:50

Cshir

112 bronze badges

Comments

dippas · Accepted Answer · 2020-05-10 21:41:22Z

1

disable V2 behavior

import tensorflow.compat.v1 as tf 
tf.disable_v2_behavior()

or use this tf.compat.v1.GraphDef()

edited May 10, 2020 at 21:41

dippas

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answered May 10, 2020 at 19:31

Amila Liyanage

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