Rapids-blazing -> python_abiĬudf -> python_abi Xgboost -> libstdcxx-ngĬuml -> cuda-python Rapids-blazing -> cudatoolkit=11.4 -> libstdcxx-ng Xgboost -> libgcc-ng -> _openmp_mutexĬuml -> libgcc-ng -> _openmp_mutex Output in format: Requested package -> Available versionsĬudf -> libgcc-ng -> _openmp_mutex UnsatisfiableError: The following specifications were found to be incompatible with each other:
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.Ĭollecting package metadata (repodata.json): doneįound conflicts! Looking for incompatible packages.
Solving environment: failed with initial frozen solve. It tried to resolve as many conflicts in the dependencies (around 20 mins later), then it says: Collecting package metadata (current_repodata.json): done
#Gpu caps viewer 1.17.2 install
I'm trying to install install the RAPIDS stack with CUDA through conda in a jupyter notebook inside an AWS Sagemaker Studio instance: conda install -y -c conda-forge -c rapidsai-nightly -c nvidia libgcc cudf cuml xgboost rapids-blazing
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