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Installation issues in Colab #525
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Nightly can often break which causes usage of Robustness Metrics itself to be unstable. Let's remove the explicit dependence and require users to manually install either the stable or nightly for now. See also google/uncertainty-baselines#530 for Uncertainty Baselines and the GitHub issues raised about this (google/uncertainty-baselines#407, google/uncertainty-baselines#525). PiperOrigin-RevId: 397788272
copybara-service bot
pushed a commit
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Sep 20, 2021
Nightly can often break which causes usage of Robustness Metrics itself to be unstable. Let's remove the explicit dependence and require users to manually install either the stable or nightly for now. See also google/uncertainty-baselines#530 for Uncertainty Baselines and the GitHub issues raised about this (google/uncertainty-baselines#407, google/uncertainty-baselines#525). PiperOrigin-RevId: 397788272
copybara-service bot
pushed a commit
to google-research/robustness_metrics
that referenced
this issue
Sep 20, 2021
Nightly can often break which causes usage of Robustness Metrics itself to be unstable. Let's remove the explicit dependence and require users to manually install either the stable or nightly for now. See also google/uncertainty-baselines#530 for Uncertainty Baselines and the GitHub issues raised about this (google/uncertainty-baselines#407, google/uncertainty-baselines#525). PiperOrigin-RevId: 397788272
copybara-service bot
pushed a commit
to google-research/robustness_metrics
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Sep 20, 2021
Nightly can often break which causes usage of Robustness Metrics itself to be unstable. Let's remove the explicit dependence and require users to manually install either the stable or nightly for now. See also google/uncertainty-baselines#530 for Uncertainty Baselines and the GitHub issues raised about this (google/uncertainty-baselines#407, google/uncertainty-baselines#525). PiperOrigin-RevId: 397788272
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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 installedrobustness_metrics
usingpip install "git+https://github.com/google-research/robustness_metrics.git#egg=robustness_metrics"
and tried again. Once again, I got aModuleNotFoundError
and installed edward2 withpip install edward2
. After I handle that, once again I getModuleNotFoundError
for seqio which I duly installed.This time however, the
uncertainty_baselines
module is not loaded in at all and it fails when I dotest_dataset = ub.datasets.get( DATASET, split=tfds.Split.TEST).load(batch_size=BATCH_SIZE)
and this seems to be due to dependency issues withflatbuffer
versions. During the imports I getERROR: 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 getERROR: 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?
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