Module 'tensorflow' has no attribute 'contrib'
tf.contrib
has moved out of TF starting TF 2.0 alpha.
Take a look at these tf 2.0 release notes https://github.com/tensorflow/tensorflow/releases/tag/v2.0.0-alpha0
You can upgrade your TF 1.x code to TF 2.x using the tf_upgrade_v2
script
https://www.tensorflow.org/alpha/guide/upgrade
This issue might be helpful for you, it explains how to achieve TPUStrategy
, a popular functionality of tf.contrib
in TF<2.0.
So, in TF 1.X you could do the following:
resolver = tf.contrib.cluster_resolver.TPUClusterResolver('grpc://' + os.environ['COLAB_TPU_ADDR'])
tf.contrib.distribute.initialize_tpu_system(resolver)
strategy = tf.contrib.distribute.TPUStrategy(resolver)
And in TF>2.0, where tf.contrib
is deprecated, you achieve the same by:
tf.config.experimental_connect_to_host('grpc://' + os.environ['COLAB_TPU_ADDR'])
resolver = tf.distribute.cluster_resolver.TPUClusterResolver('grpc://' + os.environ['COLAB_TPU_ADDR'])
tf.tpu.experimental.initialize_tpu_system(resolver)
strategy = tf.distribute.experimental.TPUStrategy(resolver)
I used google colab to run my models and everything was perfect untill i used inline tesorboard. With tensorboard inline, I had the same issue of "Module 'tensorflow' has no attribute 'contrib'".
It was able to run training when rebuild and reinstall the model using setup.py(research folder) after initialising tensorboard.