We're currently building on
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github_actions_labels: # [linux] |
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- cirun-openstack-gpu-2xlarge # [linux] |
There are not many physical GPUs available, so this creates a big bottleneck. It would be nice to build the package on a CPU agent (the vast majority of the time for a given run), and then use a GPU-enabled agent only for the testing part.
This idea has already been on the table for a long time, but needs support (at least) in smithy: conda-forge/conda-smithy#1472.
Opening for visibility, since pytorch is most affected currently by this bottleneck (AFAIU, there's also still a physically broken & offline GPU, which further exacerbates the problem).
We're currently building on
pytorch-cpu-feedstock/recipe/conda_build_config.yaml
Lines 12 to 13 in 4d13808
There are not many physical GPUs available, so this creates a big bottleneck. It would be nice to build the package on a CPU agent (the vast majority of the time for a given run), and then use a GPU-enabled agent only for the testing part.
This idea has already been on the table for a long time, but needs support (at least) in smithy: conda-forge/conda-smithy#1472.
Opening for visibility, since pytorch is most affected currently by this bottleneck (AFAIU, there's also still a physically broken & offline GPU, which further exacerbates the problem).