⚡ Bolt: Optimize VisualCNN tensor memory management #90
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- Removed unnecessary `tf.clone()` in `VisualCNN.classify` by transferring ownership. - Fixed potential memory leak in error handling path. - Fixed linting error in `switch` statement.
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💡 What: Optimized
VisualCNN.classifyinvisual-analysis.worker.tsto transfer ownership of input tensors instead of cloning them.🎯 Why: The previous implementation used
tf.clone()to persist the current frame aspreviousFrame, causing unnecessary GPU memory allocation and data copying every frame. It also had a potential memory leak wherecurrentFramewasn't disposed if an error occurred.📊 Impact: Reduces GPU memory churn by one tensor per frame (significant for high-FPS analysis). Fixes a potential GPU memory leak in error paths.
🔬 Measurement: Verified with unit tests that
tf.cloneis no longer called and that proper disposal occurs on error.PR created automatically by Jules for task 2749104100583949463 started by @lightmyfireadmin