AttributeError: module 'tensorflow' has no attribute 'compat' when loading tf.compat.v1.train.SessionRunHook

Question

I can see that this question has been asked before here tensorflow-has-no-attribute-compat

but the answer given was to

Microsoft Visual C++ 2015-2019 R         


        

Answer 1

This is usually caused by the broken TensorFlow-estimator module.

simply do a

pip install tensorflow-estimator==2.1.*

Answer 2

the specs you have given are correct

tensorflow-gpu 2.1

python 3.7.7

CUDA 10.1

Anaconda 3.7

but in tensorflow 2.X first install

pip install tensorflow-estimator==2.1.*

then install

pip install tensorflow-gpu 

and then run the following command to check the number of gpu

import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))

i hope it will work

Answer 3

Special note for Conda users:

When one enters conda install tensorflow it installs 2.1.0 but it brings with it tensorflow-estimator 2.2.0. To fix this problem simply run conda install tensorflow-estimator==2.1.0 after installing tensorflow 2.1.0 in Conda.

This advice is valid until conda switches to TF 2.2.0 (or better yet to 2.3.0)

credits to this TF github thread

UPDATE: as of 10-Dec-2020 Conda has TF 2.3.0 for Windows and 2.2.0 for Linux. Check here to see current state of TF support in Conda.

Answer 4

Below solution worked for me. Reference

First install Estimator=2.1 then the rest:

conda remove tensorflow
conda install tensorflow-estimator 2.1
conda install tensorflow-gpu=2.1