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Use conda nightlies for dask/distributed in GPU envs
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@charlesbluca
charlesbluca committed Jan 25, 2024
1 parent 4237ed2 commit d3654b0
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5 changes: 1 addition & 4 deletions continuous_integration/gpuci/environment-3.10.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@ name: dask-sql
channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- conda-forge
- nvidia
- nodefaults
Expand Down Expand Up @@ -49,7 +50,3 @@ dependencies:
- ucx-py=0.36
- xgboost=*=rapidsai_py*
- libxgboost=*=rapidsai_h*
- pip
- pip:
- git+https://github.com/dask/dask
- git+https://github.com/dask/distributed
5 changes: 1 addition & 4 deletions continuous_integration/gpuci/environment-3.9.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@ name: dask-sql
channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- conda-forge
- nvidia
- nodefaults
Expand Down Expand Up @@ -49,7 +50,3 @@ dependencies:
- ucx-py=0.36
- xgboost=*=rapidsai_py*
- libxgboost=*=rapidsai_h*
- pip
- pip:
- git+https://github.com/dask/dask
- git+https://github.com/dask/distributed

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