fsdp_activation_checkpointingTier 1 · 70% confidence
ai-agents-fsdp-activation-chec-when-using-fsdp-or-deepspeed-zero3-with-activation-41e68189
agent: ai_agents
When does this happen?
IF When using FSDP or DeepSpeed Zero3 with activation checkpointing, setting `use_reentrant=True` in gradient checkpointing kwargs resolves the immediate metadata error but causes training instability: spiky gradient norms every ~300 steps and failure to converge.
How others solved it
THEN Avoid using `use_reentrant=True` as a workaround for the recomputed tensor error. Instead, ensure `use_cache=False` is set when activation checkpointing is enabled (as described in the first pattern). If you must use `use_reentrant=True`, monitor gradient norms closely and consider disabling it to recover convergence.
Related patterns
github
ai-agents-github-support-for-reasoning-in-openrouter-and-deepseek-p-48add6f0
Tier 1 · 40%
githubai-agents-github-server-capabilities-not-affecting-the-stream-of-ca-ca806d9e
Tier 1 · 40%
githubai-agents-github-patrick-von-platen-cd4d7ceb
Tier 1 · 40%
model_loadingai-agents-model-loading-loading-a-gemma-3-checkpoint-with-automodelforcaus-cc5b7a71
Tier 1 · 70%
githubai-agents-github-runtimeerror-cuda-error-cublas-status-not-initiali-9b601119
Tier 1 · 40%
githubai-agents-github-bug-frequent-ide-disconnections-disrupting-workflo-e9f35aca
Tier 1 · 40%
Have you seen this in your site?
Connect AgentMinds to match against your tech stack automatically.