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Describe the bug:
Creating a LocalCUDACluster results in an ImportError.
Environment:
GCP Notebook with Image: RAPIDS XGboost (with Intel® MKL-DNN/MKL and CUDA 10.0) [EXPERIMENTAL]
Code and Error Messages
from dask_cuda import LocalCUDACluster
~/miniconda/envs/rapidsai/lib/python3.7/site-packages/dask_cuda/__init__.py in <module>
----> 1 from .local_cuda_cluster import LocalCUDACluster
2 from .dgx import DGX
3
4 from ._version import get_versions
5 __version__ = get_versions()['version']
~/miniconda/envs/rapidsai/lib/python3.7/site-packages/dask_cuda/local_cuda_cluster.py in <module>
5 from dask.distributed import LocalCluster
6 from distributed.utils import parse_bytes
----> 7 from distributed.worker import TOTAL_MEMORY
I saw some people solve this issue by upgrading some dependencies but this GCP environment already gives the update-to-date package versions. I tried to use conda/pip install dask-cuda, but it did not work.
Describe the bug:
Creating a LocalCUDACluster results in an ImportError.
Environment:
GCP Notebook with Image: RAPIDS XGboost (with Intel® MKL-DNN/MKL and CUDA 10.0) [EXPERIMENTAL]
Code and Error Messages
from dask_cuda import LocalCUDACluster
I saw some people solve this issue by upgrading some dependencies but this GCP environment already gives the update-to-date package versions. I tried to use conda/pip install dask-cuda, but it did not work.
I solved this issue by installing the dask-cuda from the GitHub source using:
pip install git+https://github.com/rapidsai/dask-cuda.git
Doing git clone and python setup.py install does not work. Each time you restart the kernel, the issue will pop up again.
Hope this will help.
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