AttributeError: module 'tensorflow._api.v2.distribute' has no attribute 'TPUStrategy' The text was updated successfully, but these errors were encountered: Copy link
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.
To construct a TPUStrategy object, you need to run the initialization code as below: resolver = tf.distribute.cluster_resolver.TPUClusterResolver (tpu='') tf.config.experimental_connect_to_cluster (resolver) tf.tpu.experimental.initialize_tpu_system (resolver) strategy = tf.distribute.TPUStrategy (resolver) While using distribution strategies ...
04.01.2021 · I am working with Keras and Tensorflow in order to create a predictor model. I have only CPU device and I can't execute my code. In the code only use Keras and Kerastuner to search hyperparameters....
Ask questions AttributeError: module 'tensorflow._api.v2.distribute' has no attribute 'TPUStrategy' I am running Tensorflow 2.2 and Kerastuner 1.0.2. I am trying to implement it on LSTM model.
25.04.2019 · 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.
27.03.2019 · None: tf.distribute.experimental.CollectiveCommunication.AUTO, AttributeError: module 'tensorflow._api.v1.distribute' has no attribute 'experimental' I checked with updating tensorflow models, not working Please suggest any way out. I have the same problem. I solved my issue by using Conda instead of PIP.
25.01.2021 · 报错：module ‘tensorflow._api.v2.distribute’ has no attribute ‘tpustrategy’啊这个报错困扰了我一天，百度了一圈发现问题可能是之前下载的tensoflow版本是2.2.0要升级到最新的版本才可以。于是我兴冲冲地用命令行去更新，安装完成之后，本地的确实更新到2.4.1版本了，但是虚拟环境里完全没有！