Installation issues in Colab
Vivdaddy opened this issue · comments
Issue: Bug
Version: Commit: a7c0965
Command Line output is in colab link below
Hi,
I wanted to run the notebook https://github.com/google/uncertainty-baselines/blob/b3686f75a10b1990c09b8eb589657090b8837d2c/baselines/notebooks/Hyperparameter_Ensembles.ipynb in Colab to check the performance of the hyperparameter ensemble method.
Colab link: https://colab.research.google.com/drive/1mA6LX6P3p2O31TM9bSkqMwoIxlVRUWqh?usp=sharing
Therefore, in colab I ran the following command so that all of the packages were installed properly.
!pip install "git+https://github.com/google/uncertainty-baselines.git#egg=uncertainty_baselines"
When I started running the notebook sequentially, in cell 5, I got ModuleNotFoundError: No module named 'robustness_metrics'. After a quick search I installed robustness_metrics using pip install "git+https://github.com/google-research/robustness_metrics.git#egg=robustness_metrics" and tried again. Once again, I got a ModuleNotFoundError and installed edward2 with pip install edward2. After I handle that, once again I get ModuleNotFoundError for seqio which I duly installed.
This time however, the uncertainty_baselines module is not loaded in at all and it fails when I do test_dataset = ub.datasets.get( DATASET, split=tfds.Split.TEST).load(batch_size=BATCH_SIZE) and this seems to be due to dependency issues with flatbuffer versions. During the imports I get
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. tensorflow 2.6.0 requires flatbuffers~=1.12.0, but you have flatbuffers 2.0 which is incompatible. and subsequently get
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. tf-nightly 2.7.0.dev20210915 requires flatbuffers~=2.0, but you have flatbuffers 1.12 which is incompatible.
All I want to do is to run the jupyter notebook listed above and experiment with the hyperparameter ensembles technique. Could someone please direct me on how I can run the above jupyter notebook?
This issue still exists. Do you know about the situation?
Hi! This should be fixed now as of e1d8f01. Can you try it again? If you still run into issues, please let us know!