chore: add isGPUWorker label to cellposesam_train - #158
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The Cellpose-SAM retrain worker is GPU-accelerated (CUDA base image, com.nvidia.volumes.needed, cellpose.core.use_gpu at runtime) but was missing the isGPUWorker="true" Docker label. Add it to match the main cellposesam worker and cellpose_train. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Summary
Adds the missing
isGPUWorker="true"Docker label to the Cellpose-SAM retrain worker (cellposesam_train).The worker is already GPU-accelerated — it uses a CUDA base image, declares
com.nvidia.volumes.needed, and callscellpose.core.use_gpu()at runtime — but itsLABELblock was missing theisGPUWorkerflag that the platform uses to identify GPU workers. This brings it in line with the maincellposesamworker andcellpose_train.Change
LABEL isUPennContrastWorker="" \ + isGPUWorker="true" \ isAnnotationWorker="" \No code or runtime-behavior changes — Docker metadata only.
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