ModuleNotFoundError: No module named 'tensorflow.compat.v2'
See original GitHub issueDescription
I ran the following code in a Google Colab and get the error:
ModuleNotFoundError: No module named 'tensorflow.compat.v2'
!pip install -q tensorflow==1.13.1
!pip install -q tensorflow_probability==0.6.0
!pip install -q tensor2tensor==1.13.1
!pip install -q gym[atari]
!python -m tensor2tensor.rl.trainer_model_based \
--loop_hparams_set=rlmb_base_stochastic_discrete \
--loop_hparams=game=pong,epochs=1,ppo_epochs_num=0 \
--output_dir=~/t2t_train/mb_sd_pong_random
$ pip freeze | grep tensor
mesh-tensorflow==0.1.16
tensor2tensor==1.13.1
tensorboard==1.13.1
tensorboard-plugin-wit==1.6.0.post3
tensorboardcolab==0.0.22
tensorflow==1.13.1
tensorflow-addons==0.8.3
tensorflow-datasets==2.1.0
tensorflow-estimator==1.13.0
tensorflow-gcs-config==2.2.0
tensorflow-hub==0.8.0
tensorflow-metadata==0.22.2
tensorflow-privacy==0.2.2
tensorflow-probability==0.6.0
$ python -V
Python 3.6.9
Issue Analytics
- State:
- Created 3 years ago
- Comments:6
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On Colab, you can: 1.for the ‘tensorflow.compat.v2’ : try the command ‘%tensorflow_version 1.x’ 2.for ‘NoneType’ object has no attribute ‘Runner’ : a. If class ‘DQNLearner’ is unnecessary in your project, comment corresponding ‘import’ line in ‘rl_utils.py’ file. b. or you try to find out why the absence of class ‘run_experiment’, most likely due to the installation of ‘dopamine’.
@Q-ihang your methed solve my problem thks