Fix CUDA OOM Error by Disabling NVTX During DeepSpeed Initialization #1
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Co-authored-by: Genie <genie@cosine.sh>
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This pull request addresses the CUDA Out of Memory (OOM) error encountered during the initialization of a customized model with DeepSpeed. The issue was caused by NVTX being enabled, which can lead to increased memory usage. The solution involves temporarily disabling NVTX during the compilation process in the
deepspeed/runtime/engine.pyfile. The NVTX state is saved before disabling and restored after the compilation to ensure that the original state is maintained. This change helps in reducing memory overhead and prevents the OOM error, allowing for successful model initialization with DeepSpeed.Created by Genie. You can follow its reasoning on Cosine