*DISCLAIMER: This page contains the wheel packages of Apache MXNet (incubating) build on version 1.7.0. This is mainly for the purpose of the KDD2020 Tutorial “Practical Automated Machine Learning with Tabular, Text, and Image Data”:
You may install MXNet via:
# For CPU users
python3 -m pip install -U --pre "mxnet>=1.7.0b20200713, <2.0.0" -f https://sxjscience.github.io/KDD2020/
# For GPU users, CUDA v10.0
python3 -m pip install -U --pre "mxnet_cu100>=1.7.0b20200713, <2.0.0" -f https://sxjscience.github.io/KDD2020/
# For GPU users, CUDA v10.1
python3 -m pip install -U --pre "mxnet_cu101>=1.7.0b20200713, <2.0.0" -f https://sxjscience.github.io/KDD2020/
# For GPU users, CUDA v10.2
python3 -m pip install -U --pre "mxnet_cu102>=1.7.0b20200713, <2.0.0" -f https://sxjscience.github.io/KDD2020/
To determine which CUDA version you have, execute the following in the command line: nvcc --version
I cannot install the package and it reports the error
XXX is not a supported wheel on this platform.
One possibility is that you are using an older version of pip. Try to upgrade your pip to a version later than 19.0.0,
e.g., use the following command:
python3 -m pip install --upgrade pip --user
I cannot find the cu102 with version >=1.7.0b20200713, <2.0.0.
May be the pip version is too old. Try to upgrad the pip via:
python3 -m pip install --upgrade pip --user
How can I install the customized mxnet (incubating) on SageMaker Notebook?
You should choose the conda_python3 kernel and then install MXNet via
# For CPU users
python3 -m pip install -U --pre "mxnet>=1.7.0b20200713, <2.0.0" -f https://sxjscience.github.io/KDD2020/
# For GPU users, CUDA 101
python3 -m pip install -U --pre "mxnet_cu101>=1.7.0b20200713, <2.0.0" -f https://sxjscience.github.io/KDD2020/
While running tutorials, I get error message “Check failed: e == cudaSuccess: CUDA: initialization error”.
You may have the wrong version of MXNet installed for your CUDA version. Match the CUDA version carefully when following the installation instructions above.