Unverified50% confidenceFactExact time
Calling gc.collect() after processing each asset can reclaim cyclic references and bring memory back down to baseline; however, memory freed by CPython often remains in pymalloc's internal pools and is not returned to the operating system, so RSS only truly drops when the child process exits.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCalling gc.collect() after processing each asset forces Python's garbage collection to trigger, promptly freeing objects no longer in use and effectively lowering peak memory.73% similarVerifiedCalling gc.collect() once after processing each asset can actively reclaim circular references and avoid memory buildup; on a 2GB machine, actively reclaiming once per processed item can turn the memory curve from a sawtooth buildup into a flat staircase72% similarUnverifiedSpawning a subprocess for each file in heavy rendering steps and letting the OS reclaim all its memory pages upon subprocess exit releases memory more thoroughly than calling gc.collect() within a single long-running process.71% similarUnverifiedOn a 1 vCPU / 2 GB instance, not explicitly calling gc.collect() may cause Python's cyclic-reference garbage collection to lag, with peak memory exceeding 2 GB and being terminated by the OOM Killer.69% similarUnverifiedCalling gc.collect() after processing each asset prevents peak RSS from climbing continuously; otherwise the process may be killed by the kernel while processing the 40th file.68% similar
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