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@@ -72,3 +72,4 @@ python example/run_pipeline.py --device auto
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- The script only samples the first 5000 rows to stay fast.
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- `prepare_data.py` runs without PyTorch, but `train.py` and `sample.py` require it.
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- `train.py` and `sample.py` auto-select GPU if available; otherwise they fall back to CPU.
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- Optional two-stage temporal model (`use_temporal_stage1`) trains a GRU trend backbone first, then diffusion models residuals.
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