Error 132 #1702
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This might be due to the OS sending a SIGILL due to an attempt to load DLL symbols that can't be loaded. Does this error occur outside of Conda? Switching from a Conda environment to a virtual environment is often the simplest way to side-step binary incompatibility issues like this. Would you be able to provide a docker file that reproduces the error with a virtual env? |
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I run this code on a cluster and start it via a slurm script. Unfortunately, I do not know how to generate such a docker file and I am also not sure if it is possible, when I sent the slurm script to generate such a file. Do you have any ideas how to solve this issue? :) |
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How is the conda environment created? Is it something like If you replace that with |
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The R environment R-4.3.3 was directly created via conda using |
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Can you post the full output from |
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Sure, here is the output: If I run the code from above again and send it to the cluster, it yields again to error 132. Otherwise, i.e. if I run the code from above locally, it does not generate this error. |
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If the same code runs fine locally but errors when sent to the cluster, then the task is to figure out what's different on the cluster. It might be best to speak to your cluster administrator. It's possible the system binaries found on the cluster runners are different from those found locally. For example, perhaps the python binary used to seed the virtual env might not have been built with the Diffing |
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For both of your suggestions I get the following: and Do you detect anything what should be changed? Help would be really appreciated, cause I do not know how to make it run ... :( |
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One thing that immediately jumps out is that the two configs are for different pythons, which just means that But it's not important so much what the config is on your local machine; what's important is the config on the cluster where you see the error, and the Let me re-suggest, please reach out to your cluster administrator. In my experience, anytime there is a computing cluster, there is usually a helpful and kind person who's job it is to help people use the cluster. I cannot debug this remotely as I do not have access to the cluster, and do not know the details of how it was setup. |
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Ok, thanks :) |
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I am running the following code:
yielding to the error
Actually, the r-reticulate env. has been created via
reticulate::virtualenv_create('r-reticulate').Session Info:
Any ideas? Thank you very much in advance!
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