update新结构
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@@ -73,3 +73,4 @@ python example/run_pipeline.py --device auto
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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 feature-graph mixer (`model_use_feature_graph`) adds a learnable relation prior across feature channels.
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- Optional two-stage temporal backbone (`use_temporal_stage1`) learns a GRU-based sequence trend; diffusion models the residual.
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