Comments (2)
I just noticed that it seems to be using things from a previous conda env (cuml-dev-23.12-dgx15
), not the one I have activated at the moment. I've used this checkout of cuml before and today updated to the latest commit.
To solve the issue of referring to old conda env I tried to run ./build.sh clean
. This runs for a bit and then errors with python: can't open file '/home/my-user-name/git/cuml/python/setup.py': [Errno 2] No such file or directory
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After the clean up cuml
installed without a problem. So the remaining issue is that something in the build system doesn't invalidate properly and that build.sh clean
raises an error
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Related Issues (20)
- [BUG] UserWarning: Error getting driver and runtime versions: HOT 1
- [BUG] Devcontainer 11.8 image base doesn't exist HOT 1
- Why cuml=24.04 cannot be found? HOT 5
- [QST] Version matching problem about python3.7 HOT 3
- Getting all cuml tests to pass with cudf.pandas enabled HOT 3
- Replace deprecated `cupyx.scatter_max` and `cupyx.scatter_add` with `cupy.maximum.at` and `cupy.add.at`
- Address scikit-learn FutureWarnings and DeprecationWarnings from 1.x
- [BUG] Dask PCA HOT 2
- [BUG] Random Forest issue with more than 2 models with different criterion settings HOT 2
- [FEA] IVIS HOT 1
- [QST] Reset GPU to release memory resources HOT 2
- [FEA] Sparse PCA in C++ Layer HOT 1
- [BUG] UMAP random_state doesn't provide consistency HOT 5
- [BUG] Dask + UMAP does not work with numpy array. HOT 1
- [DOC]
- Request for MLPClassifier HOT 1
- How to get the medoids from HDBSCAN? [QST] HOT 1
- CUML models not working with textattack library HOT 4
- [BUG] Linear SVC fitting with cuDF inputs causes AttributeError HOT 2
- [BUG] SVC fit_proba doesn't seem to be using Class Weights
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