BBN pipelines and runs
BBN pipelines and runs
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Looks like the pipeline failed with:
>>> Python packages with versions mismatch: tensorflow-gpu expected: 2.2.0 installed: 2.1.0
What can we do about this?
Edited by David AkodesEven when I pull the latest image, the version is still the old version:
# python3 -c 'import tensorflow as tf; print(tf.__version__)' 2020-06-25 16:19:51.756959: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer.so.6 2020-06-25 16:19:51.758603: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer_plugin.so.6 2.1.0
Edited by David Akodes
added 5 commits
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ae6a013f...c17fa74b - 5 commits from branch
datadrivendiscovery:master
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ae6a013f...c17fa74b - 5 commits from branch
I once again rebased onto the target branch, which kicked off another CI pipeline run; it appears to be getting farther than the previous failed run.
I'm assuming that if/once it passes, this branch can be merged.
Edited by David AkodesThe pipeline has finished and passed, so this merge request can now be merged.
added 6 commits
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b97ce867...2470cd11 - 5 commits from branch
datadrivendiscovery:master
- db225ea4 - BBN pipelines and runs
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b97ce867...2470cd11 - 5 commits from branch
mentioned in commit 9ffef747
Hm, not sure why this is now failing, can you check please? https://gitlab.com/datadrivendiscovery/primitives/-/jobs/612385890
If I'm reading that log correctly, the errors are related to the following four pipelines, none of which are BBN's:
- https://gitlab.com/datadrivendiscovery/primitives/-/blob/master/v2020.5.18/ICSI/d3m.primitives.feature_extraction.sparse_pca.SparsePCA/3.0.2/pipelines/41d07ddd-7e2b-4e83-9d40-62397dd04508.json
- https://gitlab.com/datadrivendiscovery/primitives/-/blob/master/v2020.5.18/ICSI/d3m.primitives.feature_extraction.sparse_pca.RobustSparsePCA/3.0.2/pipelines/5c86dfc3-f42f-487b-a0cd-b88005047796.json
- https://gitlab.com/datadrivendiscovery/primitives/-/blob/master/v2020.5.18/ICSI/d3m.primitives.regression.rfm_precondition_ed_gaussian_krr.RFMPreconditionedGaussianKRR/3.0.2/pipelines/626e1ad1-3f3c-4c59-841b-3b58d4ea9ce1.json
- https://gitlab.com/datadrivendiscovery/primitives/-/blob/master/v2020.5.18/ICSI/d3m.primitives.feature_extraction.pca_features.RandomizedPolyPCA/3.0.2/pipelines/8b377207-6979-4e4a-9011-554c8b014df2.json
Could you please clarify which BBN-relevant problems are present?
Edited by David Akodes