I’m tring to install mxnet-cu92 in kaggle kernels, but I got an error Could not install packages due to an EnvironmentError: [Errno 30] Read-only file system: '/opt/conda/bin/f2py'.
Anyone successfully use mxnet gpu verion in kaggle? any advices?
thanks in advance.
When I turn GPU on in Kaggle kernel, it doesn’t allow me to install custom packages. How did you install mxnet-cu92?
I also encountered the same problem. I first trun off the gpu in settings panel, then type in !pip install mxnet-cu92 in the jupyter notebook code cell or directly use the Packages option within this panel.
When I restart my program, the GPU is turned on. Now I got a new error: GPU is not enabled, however, the GPU was exactly enabled.
I noticed that the running Docker changed when I want to use the installed mxnet-cu92.
Did you try a !pip list |grep mxnet to make sure when you enable GPU you are indeed running mxnet-cu92?