diff --git a/.gitattributes b/.gitattributes
index 6e99f40314ecd0781d1314aed314c58ff633bffa..167e2753f9b3a8bddda23974e6f773ca53197c7c 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -18888,3 +18888,365 @@ SynthData0523/hyper_parameter_tuning/n11/tabsyn/runs/tabsyn-n11-20260521_043909/
 SynthData0523/hyper_parameter_tuning/n11/tabsyn/runs/tabsyn-n11-20260521_043909/tabsyn_ckpt/vae/tabsyn_n11_tabsyn_n11_20260521_043909/model.pt filter=lfs diff=lfs merge=lfs -text
 SynthData0523/hyper_parameter_tuning/n11/tabsyn/runs/tabsyn-n11-20260521_043909/tabsyn_ckpt/vae/tabsyn_n11_tabsyn_n11_20260521_043909/train_z.npy filter=lfs diff=lfs merge=lfs -text
 SynthData0523/hyper_parameter_tuning/n11/tabsyn/runs/tabsyn-n11-20260521_043909/train_20260521_043909.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/final_recommendation.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_scores.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_summary.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_report.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_scores.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/sample_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/search_space.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/gen_20260519_085120.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/models_100epochs/train_20260519_084649.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/models_100epochs/tvae_100epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/tvae-n11-15215-20260519_085119.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/gen_20260519_085635.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/models_100epochs/train_20260519_085217.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/models_100epochs/tvae_100epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/tvae-n11-15215-20260519_085635.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/gen_20260519_090138.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/models_50epochs/train_20260519_085733.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/models_50epochs/tvae_50epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/tvae-n11-15215-20260519_090138.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/gen_20260519_094127.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/models_250epochs/train_20260519_090237.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/models_250epochs/tvae_250epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/tvae-n11-15215-20260519_094127.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/gen_20260519_094851.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/models_300epochs/train_20260519_094227.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/models_300epochs/tvae_300epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/tvae-n11-15215-20260519_094851.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/gen_20260519_095825.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/models_50epochs/train_20260519_094948.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/models_50epochs/tvae_50epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/tvae-n11-15215-20260519_095825.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/gen_20260519_105018.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/models_300epochs/train_20260519_095927.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/models_300epochs/tvae_300epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/tvae-n11-15215-20260519_105018.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/gen_20260519_105906.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/models_350epochs/train_20260519_105124.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/models_350epochs/tvae_350epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/tvae-n11-15215-20260519_105906.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/gen_20260519_110125.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/models_50epochs/train_20260519_110007.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/models_50epochs/tvae_50epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/tvae-n11-15215-20260519_110125.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/gen_20260519_112342.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/models_250epochs/train_20260519_110233.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/models_250epochs/tvae_250epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/tvae-n11-15215-20260519_112342.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/gen_20260519_113120.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/models_300epochs/train_20260519_112455.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/models_300epochs/tvae_300epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/tvae-n11-15215-20260519_113120.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/gen_20260519_113904.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/models_75epochs/train_20260519_113237.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/models_75epochs/tvae_75epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/tvae-n11-15215-20260519_113904.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/gen_20260520_172949.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/models_350epochs/train_20260520_163535.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/models_350epochs/tvae_350epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/tvae-n11-15215-20260520_172949.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/gen_20260520_163955.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/models_75epochs/train_20260520_163616.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/models_75epochs/tvae_75epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/tvae-n11-15215-20260520_163955.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/gen_20260520_165902.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/models_400epochs/train_20260520_164122.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/models_400epochs/tvae_400epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/tvae-n11-15215-20260520_165902.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/gen_20260520_171326.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/models_150epochs/train_20260520_170023.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/models_150epochs/tvae_150epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/tvae-n11-15215-20260520_171326.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/gen_20260520_172702.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/models_75epochs/train_20260520_171444.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/models_75epochs/tvae_75epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/tvae-n11-15215-20260520_172702.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/gen_20260520_173901.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/models_125epochs/train_20260520_172822.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/models_125epochs/tvae_125epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/tvae-n11-15215-20260520_173901.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/bo_combo.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/gen_20260520_173444.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/models_75epochs/train_20260520_173120.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/models_75epochs/tvae_75epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/runtime_result.json filter=lfs diff=lfs merge=lfs -text
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/final_recommendation.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/final_recommendation.json
new file mode 100644
index 0000000000000000000000000000000000000000..3448ea0cf50e0f7b8bbd5f0dc4224061e4ccf6df
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/final_recommendation.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a67764c8b80d7d32591899d276f1d7d51a030aa47f99125455e20ebee5b6bf7b
+size 3475
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c4e5ae1e644af7f2511ad514008b07686e7ef959
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:127d72d489be3add392a373e3a1581e3f0098b946cc8e4fb66cac337e07dbf2b
+size 4487
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_scores.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_scores.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a5c92cd8716e463c03e7b5be372217a388d965fa
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_scores.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:605c8cb17b26461b58df9080187ade3deabe51afc134c2faf4a571e2e14ec9b1
+size 3642
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_summary.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b39610ce8f6a641268fe32100ac9632e3a2cb759
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase1_summary.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:013d1e03c20462992e4e76834224296af4ffa4e7316c5874ac2c948fb9530073
+size 571
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b0a698d42340fb300d9fcfd33ecab991b91289a7
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22b232b02c906880ccb4e67b883291050b8a99c6fb4d1e2f71bb6dc2284dd62b
+size 3774
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_report.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_report.csv
new file mode 100644
index 0000000000000000000000000000000000000000..44e3a0ec473a54bac2a7d95a212298b5c657b8e1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_report.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc04f4f1a7c657c5d8c6873c864d2848356e551aacc8d265883bfce1c8b178af
+size 1137
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bf9a05395c5c98330a933f905172952fe449825
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4761978d91a181f6050ec8c3e4725e138476db680d3305a8e3b353c89905076d
+size 4132
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_scores.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_scores.csv
new file mode 100644
index 0000000000000000000000000000000000000000..487d7a207fd41c0149298d5c2ff75a0707421509
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/phase2_scores.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a25175057271f0b40199aa14677a8d98400b856f935756016aa45edf0836fb43
+size 5222
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/sample_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/sample_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..4f2921b22a4c1b0af0405d1f80444b5b21ecfe96
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/sample_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ecaf6990d8e247a857755809c23832df485db3060ff2ff53b23d065c0fa033a8
+size 631
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/search_space.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/search_space.json
new file mode 100644
index 0000000000000000000000000000000000000000..37c6e357d3fbdb9ee4d4c26daac73e09743ca32c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/_rf_tuning/search_space.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba831e2e580e183329acbfa611025c5a1197625b9ac7436108b41e72ceeb8295
+size 1000
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..6daafe652181d2944480e2aaeff3cf902b7abc20
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_084649/models_100epochs/tvae_100epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_084649/tvae-n11-15215-20260519_085119.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_084649/tvae-n11-15215-20260519_085119.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..f0dbd9a71dec7cb518b2ff2eed3325131c9b4d41
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_084649/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_084649/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_084649/models_100epochs/tvae_100epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 100))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..095648ef8bea159ba6121aec51cfa4966e352174
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f3c8bdb40c7df909f6c8d94d455c6b4125f5f311216d93bc86b90ef8665481e
+size 286
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/gen_20260519_085120.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/gen_20260519_085120.log
new file mode 100644
index 0000000000000000000000000000000000000000..43a5d5eaceb824012e646a3288e668687c998cd1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/gen_20260519_085120.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f0c0470c5f177da0353ca37510170143495191a8dadc7859a96096c672240ce6
+size 408
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/models_100epochs/train_20260519_084649.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/models_100epochs/train_20260519_084649.log
new file mode 100644
index 0000000000000000000000000000000000000000..cd46df2eb3d731b52e04b5269ea6d4f01dc998d8
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/models_100epochs/train_20260519_084649.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b1824c281c58f7846732dc76c901f4dda977364dca0d016cb1a11a9a0210b32a
+size 682
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/models_100epochs/tvae_100epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/models_100epochs/tvae_100epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..0042243651c60603d23863939a1e1c46304764cc
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/models_100epochs/tvae_100epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eebd23a7c0969b00f1dd1c70652b0dc9deea4d8c76a41be1830b9db8282430f2
+size 1569202
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..25e60ba1b63dede2051fb922fff32c76b7a8fec7
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f11081680d8f39a584bae847d33b63e70d980fadafba6cf655248da588781a4f
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e1fee7d55be6cd9a432b6e29f90260f4c4783957
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:340b58ba76607324f167eb86563b514aa1b52d89034224de7671a848f6ddd00c
+size 2455
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..c3520d48528a7eec8a298ea19be0eaf8a68a6245
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7eaafa912e7ea0547dbe57b1be449008902bbe583e01b18876270b6736a45b48
+size 903
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..15fddb154a2397cc7459f8a2fe9fceebd7e0d4bc
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a1c8dd7b71524a3f849d6d08fa5fc6baaca00618e39f64df758d067407fe76e
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d2d37258ab21f0795a5dcae684008d2941734316
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b820de5f32fdd9ebf09fbdf39582d2645614030c94c02ec13fd79db4a0790de
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/tvae-n11-15215-20260519_085119.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/tvae-n11-15215-20260519_085119.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9fd6c2ec1568a8b3cf2ac1eb630db3d6d7a79c53
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/tvae-n11-15215-20260519_085119.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a31ae099e75d41169fddc87424c0d195fee79464fff4466494d10824c9dcd028
+size 2883069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_084649/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..a4d888f45e1dff7a05e45aea9b93180616321143
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085217/models_100epochs/tvae_100epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085217/tvae-n11-15215-20260519_085635.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085217/tvae-n11-15215-20260519_085635.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..623923a6d5aaeb9915eabee9cfca39cfe7d3ff3d
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085217/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085217/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085217/models_100epochs/tvae_100epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 100))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..7066ab0cb1ca1f60db12571ac29b16ad930901b1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:045228d191f96da0db83bdfd94abeb9cc7e9848abd8262fbcf6ad9ab6cabde94
+size 268
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/gen_20260519_085635.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/gen_20260519_085635.log
new file mode 100644
index 0000000000000000000000000000000000000000..f08d7ea73dd63b872c57a9fca3b73fb4159c2970
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/gen_20260519_085635.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0976434ecde5e95a0728bf112c16a6c348baf9bde51a69e38b402887312fd672
+size 408
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/models_100epochs/train_20260519_085217.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/models_100epochs/train_20260519_085217.log
new file mode 100644
index 0000000000000000000000000000000000000000..83a4bb7346f247aa29ebfde6ddb3dd8817b363df
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/models_100epochs/train_20260519_085217.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3213b209696e772ea4d849a4670eccae0d5a24b1bc5a075ac7e16333066e811f
+size 672
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/models_100epochs/tvae_100epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/models_100epochs/tvae_100epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..f80173e485cb39ae1f982fef50b5b5069eb9ce74
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/models_100epochs/tvae_100epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e6517ababe3571454915fed0dca63690e1e3ccc8dca5683eaf62a9fb51e1ab4
+size 2207148
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d12571584527c046aaf05a8ceade475fc67ac62f
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54461e896e125cc0e2246ad623ba0a6ceb760ddc8aa340e69f35ee36c059063a
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..708311106f59e74fdd21d5b652b28ae5a75d8188
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:354b25dacd7f92df07adbd7c7f381c98bdbab732a5980b6618de5cd754263d6d
+size 2447
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..3a60125731352c8f1febcbfe030a34808cf3391b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:406306544e75d5844d4ce202893d30a1196b10a2d130842e002f6fa221902eea
+size 903
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..44b874664ed9349f552079dd39e1a93f4cc901ca
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9c061bf4d7b401373e75aeeb9eae3fa55288f833fd28a1f44b81016cee6f09b
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..3774994a8504b86d2ec90373d57bd9a7de04ab24
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a993cf8102c5821331dbf976a633113bf22c4c92f13ad4681e888f13c494acb
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/tvae-n11-15215-20260519_085635.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/tvae-n11-15215-20260519_085635.csv
new file mode 100644
index 0000000000000000000000000000000000000000..3fc59281b3e26aa9e92035f5f2c1b9ba1521069d
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/tvae-n11-15215-20260519_085635.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a73dab0dd67e4d8eac1d8067ececcc4fb3e354b55282731efac914b5ed8daf4
+size 2883163
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085217/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..748c7884015bf329449dbffed4fafdbec53d8c86
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085732/models_50epochs/tvae_50epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085732/tvae-n11-15215-20260519_090138.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085732/tvae-n11-15215-20260519_090138.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..6f1a088af46467887d369ce829bf062ca4aa1afd
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085732/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085732/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_085732/models_50epochs/tvae_50epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 50))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..51f1bfa2880df4c194923604d0fdcd8f490a657f
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc4251b3396c8713da36fa84b6fa3c221d23d55df3cbaedca8706ee559d7f987
+size 246
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/gen_20260519_090138.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/gen_20260519_090138.log
new file mode 100644
index 0000000000000000000000000000000000000000..3cb4a2735b210124e8adabf10dc81b2683d9f155
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/gen_20260519_090138.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7073f58a22421b8159bb46c9cb40d5e016dc5c8553369cf626e5d17caedda9bf
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/models_50epochs/train_20260519_085733.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/models_50epochs/train_20260519_085733.log
new file mode 100644
index 0000000000000000000000000000000000000000..337a36df343c729ca1faae490ddb9e4e08a3e0ca
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/models_50epochs/train_20260519_085733.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0daea594376c56fd0220d051e436714c1118cbf994f80eeca931e17809cef90a
+size 658
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/models_50epochs/tvae_50epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/models_50epochs/tvae_50epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..ab443cc625a1bd62136f8102b1019e100edb09b2
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/models_50epochs/tvae_50epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:def51b98c31fd4cebb6815a3b0a960de5c01c7086491fd300cb0dccc25bf261f
+size 1029275
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..8dbf9a1fcaecb560cae176c393c2794993a37a21
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c145cb231a5ffda2ca1eab61f1eca7038b3c551e4dad2727f1815ea3b086cdae
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..795a7eb174236f4a5f1e65a908ba19c501637b99
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:818c613c31c88a1a57784a0e8c6600b12cd7488e7941f78f530fbc5c2e337ed3
+size 2432
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..8a0777aaeadc680d01f88dc8f794e9919363e993
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26d15689b2488eac417e28f75f138806c0720bb9f11e468a3bce24a16eb3f0c1
+size 901
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..92e1ec1b3fa3e45f05d8ad12326a73919bd2c7e8
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0269af872b93f91c30ddc52763c29e9f11927d60b28514853c8d26c6e86449d5
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c4e80e6c22ff020cc0dc3d931609b13b54878500
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a7ebd3f1c699bbcf9ca6c802e9f9ba03a131ba50394baba40db6f991a5e6b70
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/tvae-n11-15215-20260519_090138.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/tvae-n11-15215-20260519_090138.csv
new file mode 100644
index 0000000000000000000000000000000000000000..494a41f5636de49be93df913d54a3cb94a9b8950
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/tvae-n11-15215-20260519_090138.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02ebc057a9c8c35c3275e94f2da5860ba00756aa8e230ac4146f420641d5b914
+size 2883960
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_085732/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..de6c36353f3e5235bed19f6dee4bf69dd1aa18c0
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_090236/models_250epochs/tvae_250epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_090236/tvae-n11-15215-20260519_094127.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_090236/tvae-n11-15215-20260519_094127.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..ec28e62faad2b7a7c13e004871d254b18fe06110
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_090236/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_090236/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_090236/models_250epochs/tvae_250epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 250))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..effcffc3695241e5e8911ba7a2469c39aa871b51
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50aaf9fc0c77b21bcc247d0ee29285326213bf10ee2e2e6af0ddf77af44eb8db
+size 284
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/gen_20260519_094127.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/gen_20260519_094127.log
new file mode 100644
index 0000000000000000000000000000000000000000..e5abaa0d0df62497247522d2f76bd4dc73aedd38
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/gen_20260519_094127.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:699436cd8f0c3868299d2f2ea5115e38e01a12f0c0bf9981bcdb3ae9bb0e46b3
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/models_250epochs/train_20260519_090237.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/models_250epochs/train_20260519_090237.log
new file mode 100644
index 0000000000000000000000000000000000000000..db7d5d3bb24b089432cf7e36090f6fa74df6d729
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/models_250epochs/train_20260519_090237.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a1352d29d4944dc206e73e7e8fce0e686329a6e6f9343c5dcd5ba0780209dca
+size 681
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/models_250epochs/tvae_250epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/models_250epochs/tvae_250epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..42a94619345e2db453753763195c4953f60d24f9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/models_250epochs/tvae_250epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22776d01a0923e634c810fd4a9539f1c2a29a2d96f208a75323f735e1ba4f0e8
+size 5928050
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..303b1adfd474ce17d35afa82304c89bc8e2c7797
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dda4dd39e6dc4174c8bfd112d54edfda937629a0991c47d5b6b9b14f19a67c1c
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6b31b8c624bb6358dc5193e28f1e703f87b3053a
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a4ac3f88dead8599978503533527f48c6524ea6be93d520bc003e3abe280d7a
+size 2453
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..79691e0d506013c739e64ca161ff149910a0070d
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb8ed0179218fa8d6ff1983bc682c34c26883c0ac09d8f0b1aea6bd99be5dad8
+size 904
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..d1086825bc2910ebb88753ee580762a1addd2d29
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66d1d5ff63ec0cb8c4a94a629c60546698f0eb44dc3b89b52aff6b2ddbd06b11
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b42f24d88840e7c5903dda373b24041936354451
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:526d302a60482c8c26a829d8ba982e865c4fb7a9fdba0b12fd019631ae320f72
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/tvae-n11-15215-20260519_094127.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/tvae-n11-15215-20260519_094127.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0447139f0b9a78e4cfb4735b500f2948d9e2811
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/tvae-n11-15215-20260519_094127.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5906dbe2faa8d60ad40d87f81cedec838449d01d4f3255508387de7b330169f
+size 2885017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_090236/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..d39bf5555299a7b2b62e6ef8edfd536ff7adad48
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094227/models_300epochs/tvae_300epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094227/tvae-n11-15215-20260519_094851.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094227/tvae-n11-15215-20260519_094851.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..63517389e6129898d0c4bd50ede91f85b0274a8d
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094227/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094227/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094227/models_300epochs/tvae_300epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 300))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..0f9ba3b84141ed116906722286572ffbc1e485f3
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0b6f6f428efd9697992dd2e66e6698d454a85a1182b5565c8df88c5a4cd8cb2
+size 286
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/gen_20260519_094851.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/gen_20260519_094851.log
new file mode 100644
index 0000000000000000000000000000000000000000..2bd93654180afb65cafb83b556aea92402bde005
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/gen_20260519_094851.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec20263a047bab029d889cda36ed68f800b184903dd0538a013851a26c2a63b8
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/models_300epochs/train_20260519_094227.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/models_300epochs/train_20260519_094227.log
new file mode 100644
index 0000000000000000000000000000000000000000..2f1678de464ecaa4338ac91cb9397e71e5af19f7
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/models_300epochs/train_20260519_094227.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:213819013b9391dab42b7fca16f5b1f8946041456d9dd55a8f5eaad31bd2ed36
+size 682
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/models_300epochs/tvae_300epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/models_300epochs/tvae_300epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..c17b56bd4c178a263df672687835284d3ed9581b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/models_300epochs/tvae_300epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:735101b9cd4574ea3dc6e53562e6456e628f8eabb9a9ef4fb3bb6e679d6e7e51
+size 1142066
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..4d5de4a41eb8cdc5aaaa2d3f8060dba113b651ab
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6282c42a9f0019242081180b4771cbc5156efcfa4fdb13ef4083310cee13ae3
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..327932cb2b0063b4405fe8a1479e26df26e47025
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e20f606ee58b54d997715e0cebd48a3486c70fce1356a96e5729fa1f28848667
+size 2455
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..707e630a0ed53a2257252780382e05f57f920534
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:efec19d215c78336b9500b198ecca784a4c1ad8f6e0e0060e9e214ebe3879ad5
+size 903
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..f9c457f6c427481e6e7cfa8245e508406ebd4f27
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd9ad7fedfd14369be2e45e7583de23947eaef4f6a0b32b168cfe91f0d797e6c
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..e47b77333f82e403b6b735650721552b8ac37e89
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b5bea4802583627a741ee48addb8fe4a1d8c35224753c3875d414a8ae536257
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/tvae-n11-15215-20260519_094851.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/tvae-n11-15215-20260519_094851.csv
new file mode 100644
index 0000000000000000000000000000000000000000..0aa56d7219771e05b46c39abe9d3ee6d32181968
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/tvae-n11-15215-20260519_094851.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8b7172940048167294e039fa2d4ff2434e3eb62342f93d0d5d08d715892f3e9
+size 2885041
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094227/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..e44babf494850ac8a419f17b477a413be8e1ebed
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094947/models_50epochs/tvae_50epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094947/tvae-n11-15215-20260519_095825.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094947/tvae-n11-15215-20260519_095825.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..2e563a4dd0fb94d3b4261c235d3a61015cbf8905
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094947/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094947/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_094947/models_50epochs/tvae_50epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 50))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..1cbcdb5ed46453341efd451ad9e5df1c01c7b51d
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:35413420ddc74e342b437b310b25af3b8833b780845f4309570ea306a5420ba4
+size 276
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/gen_20260519_095825.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/gen_20260519_095825.log
new file mode 100644
index 0000000000000000000000000000000000000000..cfc16c11dd7775da24c946913aab035e03abe0c0
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/gen_20260519_095825.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc9bc09ea699f1e3ef1bec9f230bfe109b214e3ee9f7553f9f4d65f2b9f31fa9
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/models_50epochs/train_20260519_094948.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/models_50epochs/train_20260519_094948.log
new file mode 100644
index 0000000000000000000000000000000000000000..4eb5c2c86fa8fa257b70b7c0a873622a6d044ee1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/models_50epochs/train_20260519_094948.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3638c4e06b193b16c8aaec0849a0ff33caaa61101466395e113c01ff96ee73f0
+size 671
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/models_50epochs/tvae_50epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/models_50epochs/tvae_50epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..ab4e6f0dc84a81069cbc6c32d62de6edd2c47ece
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/models_50epochs/tvae_50epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8cb30b653a7cc2bd87a95758d9a1fc7e40b63042385e95ec4eb32b27548c87cd
+size 1038755
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..0fae9cba26b1e4c102d0c5eaeacf0392cd178e0d
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8726813cec2f20ccc0dff954138b25840e6eaac9f7e55f11c767f7054effa26
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1d3c60eb15f1552b06c8ac79a9c00b11667b50a5
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70cbc98d034c1aa97ad9d15be19b8aa41e4993900147fcbb1ce23adf88580d32
+size 2443
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..681353779aab506d50901a582f13229147ac84d4
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5016ef9e6a0c238b0b931d3100aa47331c8244a9ab8b45e5de5873747248f7cd
+size 901
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf5983a51ac17b312a99609c75dc1ca7f0939799
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a62826a8b76c499e8dfd1af6f3418812f0059f555a5766d6bbe635614b9be8a9
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..341c233ce6386fc6ae96bc29a54984da46927161
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:950aae71629d8f98b6eccbc0e1ee6e4cc742a7c367d679b9ac1d1dc95eab2d38
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/tvae-n11-15215-20260519_095825.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/tvae-n11-15215-20260519_095825.csv
new file mode 100644
index 0000000000000000000000000000000000000000..96d6df3465c98bb7097ec94c5e0d03028aab4d43
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/tvae-n11-15215-20260519_095825.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a403334d85dfcce7c72b9e4604feda63b3b55649a96d5b85c7a61af58d568fe
+size 2884392
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_094947/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..0c93db09695dcaadeaaf8e83c3e5d508b894b6fa
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_095927/models_300epochs/tvae_300epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_095927/tvae-n11-15215-20260519_105018.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_095927/tvae-n11-15215-20260519_105018.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..25a52427758f7ffed7c221345e2d7d7b81dd33bd
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_095927/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_095927/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_095927/models_300epochs/tvae_300epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 300))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..75ef89d674c887378e6b877d01c02205d439c398
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f752892d472edb7f41ab9629987e29de921a9b1165d2de766ca2a864063e8e27
+size 284
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/gen_20260519_105018.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/gen_20260519_105018.log
new file mode 100644
index 0000000000000000000000000000000000000000..764cd892de6f2347ff45e61b0010a82e0a67df86
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/gen_20260519_105018.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:870f7b6f2fa1b497fa71a86898aba396519fc0004df4ba51e745e7059fc55d60
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/models_300epochs/train_20260519_095927.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/models_300epochs/train_20260519_095927.log
new file mode 100644
index 0000000000000000000000000000000000000000..1c7d949f59d2b154e4ece9e1526c29bcf6da8102
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/models_300epochs/train_20260519_095927.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd3161352f2f92d9f9a86f59b53be50ea94f21c4387cd3f0c3f6be21325050f3
+size 681
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/models_300epochs/tvae_300epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/models_300epochs/tvae_300epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..251eff5bf1735304729e058cf9403c8ed0469e3d
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/models_300epochs/tvae_300epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2ead138ac86abf36cea49922db014c120d8d0b2fb4e0f89cb5bc7f15c19d2bb
+size 4778674
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..6e6704db59847d3eb51e3cd4f2b0d1c84527010a
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a423d7c81a7468fb2eb08d8c5e3fcbac372ac370c82364ac11e20e312bac6b2
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..bc484193addec7775dc6daabe598305219f37040
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26b63328ec58c199ad0d07ce0164b05b4d08fb511db595086079e75336dd95eb
+size 2453
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..fc42ce96d59f2796613b9fb9b2e0c2e91ea5dba2
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21e6cf9c13717dc5f7418982d7efa87ac95b9e666ec8a3365b7e03c9fb754442
+size 904
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..7e44159d5a7d0f378dc663cbcd46524e45135375
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44600fbf2fc61dfb70e44b8593f170f9442dc29198c9319382d25b20ff35786b
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5f3af3323f7482339b484aee927419c7d15f5c6
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e54ab0291a28479d40b668b215b794c11156e2063118dcfd047ed733195906a
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/tvae-n11-15215-20260519_105018.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/tvae-n11-15215-20260519_105018.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e570439b87fad021862efaf1e5c9687d60ce672b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/tvae-n11-15215-20260519_105018.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4d2a547a7e481e240bd5a7ed2e9f571860dc19c21d8e5236ce426627adde5709
+size 2884879
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_095927/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..34633d3ee0306c7ae962a7531c2187b7e24d6987
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_105124/models_350epochs/tvae_350epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_105124/tvae-n11-15215-20260519_105906.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_105124/tvae-n11-15215-20260519_105906.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..ab377f7607a4b7fae5fdbd09c0b6186e80e0aa69
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_105124/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_105124/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_105124/models_350epochs/tvae_350epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 350))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..dce69bb54a9ff72f41ee6715cb6ee210c0b701bd
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c301fa052c82be6db24694c9dddec77ec8855824aa4df8e5f8c39ee03cf814b
+size 266
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/gen_20260519_105906.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/gen_20260519_105906.log
new file mode 100644
index 0000000000000000000000000000000000000000..98f1860e4d0525893c730f365fd150bc2e1e3790
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/gen_20260519_105906.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa13b16fe687547f43bb370706a1a571a582203fb57e691b1adb5f79ce8817d6
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/models_350epochs/train_20260519_105124.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/models_350epochs/train_20260519_105124.log
new file mode 100644
index 0000000000000000000000000000000000000000..f601dfdfaf33a2c7f938f8f7ad878d19da136e2f
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/models_350epochs/train_20260519_105124.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af3de18b43c4d721fe33b5d7f4cf08f299bcbfd901f62e7b15a027f96272e68d
+size 670
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/models_350epochs/tvae_350epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/models_350epochs/tvae_350epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..8fee57d0842abdbef51f1f217b31c29160594b16
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/models_350epochs/tvae_350epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2db5d3f0edaee578f29cc7d7c3a2f20f495be4dbc92324bacb196713279e6598
+size 1036332
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..92a7c2afdfce97a56c1de8fd481353413f70255f
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a29cda77cecdc68af1d00458ae5ba928b6fe81acc0ba333aaceaee33682a962
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e59afb73c74d7f93a8c3ce50ec6efb3f6f4c9c07
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a18da038056aab3a05624068d47541daf6ea6802ba5f4753d920f3f17cd3d78b
+size 2445
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..e243cd299635a992b61ab9c155431f002e297730
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e685889e627196fef581cd2d323c97eef528e356d7d8b42485becd6865b8d9d
+size 902
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..98db036036e71b519388d90244cd36b4e99c8ed6
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b60b32497e291d05fdb3a4e13d34d57683f1aad2447d644e039b920e0a15dfd
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb8c2cb31422f7e75d6e73da1b57f63384394919
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c173fb2499fc9e27913d74fe8ca3976f16200c77146bb1de2cc61c74927b596e
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/tvae-n11-15215-20260519_105906.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/tvae-n11-15215-20260519_105906.csv
new file mode 100644
index 0000000000000000000000000000000000000000..01190a7788bd3740fc2c4581e1312c661a24d5d5
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/tvae-n11-15215-20260519_105906.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2543017ff3eaa43b10623d3b2df8059b17e458d9f75508e504086a0b89b3c86c
+size 2884846
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_105124/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..8e5aa9cf7e6b33c4ead14f248ac37c5e6e489e0e
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110006/models_50epochs/tvae_50epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110006/tvae-n11-15215-20260519_110125.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110006/tvae-n11-15215-20260519_110125.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3905b9b31e0a497801a5cdcab5bd858588bd98
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110006/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110006/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110006/models_50epochs/tvae_50epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 50))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..3478e589a61d2bd9459f5e4c47ab01e204886657
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a1ced8375f34d20d5daea4d25e535f3ce25c068182b51c1feb769c9f4d2b747
+size 248
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/gen_20260519_110125.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/gen_20260519_110125.log
new file mode 100644
index 0000000000000000000000000000000000000000..33369898a9640a9243e4a65aba1d74e517f0c0f8
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/gen_20260519_110125.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c99f7c460ac043c8a0d8cdc210f998b40336e2b033e182b63f2bc7fd48508eb
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/models_50epochs/train_20260519_110007.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/models_50epochs/train_20260519_110007.log
new file mode 100644
index 0000000000000000000000000000000000000000..906b43ca028bf328faab8e11add52327f9aab2ac
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/models_50epochs/train_20260519_110007.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4aaecc9103f07694132e16e26e268c614706c4641228200bb5badfd2563db62
+size 658
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/models_50epochs/tvae_50epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/models_50epochs/tvae_50epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..1ac85acc335e18210b370d600735962089b14589
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/models_50epochs/tvae_50epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d10f5df5728dd78cf55e32dda4074bea14d9edbacd125b51cef5d65c3e64ee58
+size 720603
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..9eca9a83625af2bc9da8774add253a8da1c5b0a9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b3c4109b0f978a64382db59c49d73a3fa6ed09c3e055e754e6a39d3e7e5472f
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d154529ae8a55d0a41b41d0d1bbfa038ba2cd574
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:058a99cd5482c5e21dcdd535a4010de37961fbd718d8cb16168b138ba8684b56
+size 2434
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..a464324a28b45ac200688ebdee71186c77327659
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6c6e06ca903a72a02a9fa48c3c6e2a2a532cb34bf9ba06d1ddff3e4f922bd0b
+size 900
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..0971702a43be2e9fe397db735fc12854ecdb9a7e
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63d8dc508771a9eecf9ae52394472798e1887a04ce4bc045dbd0cdd69efdac45
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..7224aed6602881a5f8d16e928afcd4910f70e86b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a76532f8706541b0c3818134b877f494e2cc2652d45c2236919931b5559196f4
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/tvae-n11-15215-20260519_110125.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/tvae-n11-15215-20260519_110125.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ad4dcdd350f0832fc458eb404d8de29208aba037
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/tvae-n11-15215-20260519_110125.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5cea0b5d992ef448cf67715ce0765126ea0c0ee34159ce326e9322cb88713149
+size 2885008
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110006/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..4765fa81b6183f38aed9122afac4a268fe10f98c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110233/models_250epochs/tvae_250epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110233/tvae-n11-15215-20260519_112342.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110233/tvae-n11-15215-20260519_112342.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..3dd4b2a79623d29b406e927fbc3bf2eb50428b85
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110233/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110233/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_110233/models_250epochs/tvae_250epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 250))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..c219549b6aa24a782a695fa50c8bcec43d877062
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1f31dd9dc89076a08b246d6a706337c87e49a28ddf5b96c3acbfa09e456248d
+size 284
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/gen_20260519_112342.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/gen_20260519_112342.log
new file mode 100644
index 0000000000000000000000000000000000000000..d39d2c28924dc7beaefe342973cff19107b12635
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/gen_20260519_112342.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23c789839279ceeadf980fe1928a2b6b5f3821f71c8e5577d68cecffb8e1d56e
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/models_250epochs/train_20260519_110233.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/models_250epochs/train_20260519_110233.log
new file mode 100644
index 0000000000000000000000000000000000000000..bf824788dc87e548aa67ed3600e90b49e553c519
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/models_250epochs/train_20260519_110233.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76dcec4d421967078ca122b3e062f718da6d3ab89f1d6f6f12c7ed5dfc664359
+size 681
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/models_250epochs/tvae_250epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/models_250epochs/tvae_250epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..ab918fbaa63e68ad27b9edc9253c5e84f5de723c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/models_250epochs/tvae_250epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f300a7f8378c1cfc7f2b79357dc3d165cfb375845468378543b1a0c1aaa37d0b
+size 4820530
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..062213a29a5c79551a4868ba9e1d20e1a1fd98de
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8efceadac740e9d30e6b5cb3cb4cf6b590af260d80784ddba4c2b3d5e8f37c5
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..bfcbec74ddc8a67465ee03f49963183ebfebf4cf
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8adf33b1b44d4420dcebc3d673646437c76b943994db4a76f0de9160b9c3ca0
+size 2453
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..69624970718afcf334db0c85305322a93a0dd3e0
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bb17cde17bfcdd95cb0c56bfa95780de1d937eed7e670cd1b14e6f9ebf0fde4
+size 904
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..0ff7a55d2fc98f4db4df0ca7d0b6af78ab586ac8
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af7ec154b8968b92be41a085e8c051359e8367315c324eedc144493a2e84be48
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c7a696a9673b3f9ee8bed26b4e16983f1afc87e1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65ca6386f3371ea2e6a1bfc02be6fc29b471879cd2a2ed3ad97a6180956ca2af
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/tvae-n11-15215-20260519_112342.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/tvae-n11-15215-20260519_112342.csv
new file mode 100644
index 0000000000000000000000000000000000000000..25f693a2e1961d8a89af2c6a497d925da74ca226
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/tvae-n11-15215-20260519_112342.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:354c425e61f3694f2238d38f9ca53d3ef77309286dd059af1a6b547ad7e84c84
+size 2884975
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_110233/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..7e314f1d86ecf59b9d7db5d82f7c9d81d0f948b5
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_112455/models_300epochs/tvae_300epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_112455/tvae-n11-15215-20260519_113120.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_112455/tvae-n11-15215-20260519_113120.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..e86b55cd53f578d2d04ceab4995e5515161583ce
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_112455/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_112455/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_112455/models_300epochs/tvae_300epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 300))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..a45952ef2ede26a8856d8f9dd889bbac431989a0
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1d9e511f4d07936f69686ee911f49b950697520bfee0028b9dff2212e333110
+size 249
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/gen_20260519_113120.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/gen_20260519_113120.log
new file mode 100644
index 0000000000000000000000000000000000000000..188b1d67b3e32b460e8380df41361d811ff143f7
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/gen_20260519_113120.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6382e3a57e69f9e7e84d30c856a5f92647a1b2d445c6c02bcc98144cca08c15
+size 408
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/models_300epochs/train_20260519_112455.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/models_300epochs/train_20260519_112455.log
new file mode 100644
index 0000000000000000000000000000000000000000..e15723aded94206be3fec3a3b196e39c61283db0
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/models_300epochs/train_20260519_112455.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7ea49a41f8cf32e93aaa432bd0187a0116661ebb782d745cf3654e5cb4e773b
+size 663
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/models_300epochs/tvae_300epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/models_300epochs/tvae_300epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..29e73d99313453ce7b416bbb8f5e948314d4b216
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/models_300epochs/tvae_300epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1f6e66796f34e885ebd360e9c639c6035fdfbbc4c0ac69c9053d8b7c4fa1857
+size 884646
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..84dabfa7363b818c83e9470f24b093cf2b88f8f0
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:204648765e7ab7e09b71f7e0ad55b9e8672cb524deea6c70d49a8fb0de094587
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..171659df9ad7a3f8329cb8c19241c92e88db3a3b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:efe7eaef4d175f591373527eec487c64090bb27d626368614f6fdbf07dde2ab2
+size 2438
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..acbb9f5e43690a26bd6efc2d03978db1ade763a1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a120beab3bd206595398a2b0258cdfceff6683470795b5f81db4e09b99102d1
+size 903
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..b08cf35439e5f556e2a36837bf037a3aa54f2a79
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55808f3d0cc6ee48bcb4a1dbb3ee1a3cceb0cdd486281bde1baffa5971bc50c7
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf08fc4d8f560e98f38572e4e5be8331dc6d1255
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2b317dbd4dd4b2aaeb29e2563a21fe07529f80ede5ded4c54264e090579d129a
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/tvae-n11-15215-20260519_113120.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/tvae-n11-15215-20260519_113120.csv
new file mode 100644
index 0000000000000000000000000000000000000000..70b8e1d339bcf0c86deaff700cfbb4c6bd97dbc7
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/tvae-n11-15215-20260519_113120.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5fa232781c99064151733924d82f4ea78e5f878075bd6e7aec348b92782e2323
+size 2884722
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_112455/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..8ee0e341c74f804b29f4352a4bd31027cf910dfd
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_113237/models_75epochs/tvae_75epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_113237/tvae-n11-15215-20260519_113904.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_113237/tvae-n11-15215-20260519_113904.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..5ed3cd8555e869dfb2eab552526861c844c358ab
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_113237/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_113237/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260519_113237/models_75epochs/tvae_75epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 75))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..215074b792060209518e79f1f3565b45689d6c97
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:549548c1b7f56eb6413632724cb7f037c290c2dbccf0f6fe488c315ec5f6d746
+size 277
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/gen_20260519_113904.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/gen_20260519_113904.log
new file mode 100644
index 0000000000000000000000000000000000000000..e004950749ebb1ba84e10af7289284704f1a1a47
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/gen_20260519_113904.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7549bb39685ab426a9a54b8251894eab97b1fd62bfb530525b0a6feb2b0faed1
+size 408
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/models_75epochs/train_20260519_113237.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/models_75epochs/train_20260519_113237.log
new file mode 100644
index 0000000000000000000000000000000000000000..0d583eebbb07f868f50b3c45967e13574cc2d022
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/models_75epochs/train_20260519_113237.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19a25ded93ca436fd07cf2e4824bb590122792c4b95d0196eb043a7089b67893
+size 672
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/models_75epochs/tvae_75epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/models_75epochs/tvae_75epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..a9874a31f7b045fe27fd56ecc127412be88a60a8
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/models_75epochs/tvae_75epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:496ab71bcf2d276dfebfac9e2d478c0a7dc43b03f27b5d57dcb94ec03691777d
+size 874403
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..bd10470f9a0755b4ae32ba481cbe9a7b384b0fa0
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1873d432f78e38f70770ccce3a78d30f1ca22f91a071ced301a628caf5d1a59c
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..501a11fbff1c42d107072f6be72bb3afb186cbf6
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28434d09127e7ff16de6455d8dadfa37212d438e924b88c1a69def938edc175c
+size 2444
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb0eb11ba4050cda3f8088f8906224771b936550
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a297784077b22b386c47ea6865be29ea01ec0942561453090216a61e1ab5fdad
+size 901
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..78c08771aaadab3f6782f3f8b456e2b9efe6278c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04257af5848eeee032c3bd54ed2f3f9fb5da9b2063c17c7a4b9fdbaff9add1e2
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b321de9b7f68f1292451890db0facc2e7fc14e4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c3b21e8f26d8d7f08e66c29dbbefd26ac90766aa046d3bf5cf8eed79c9722bd
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/tvae-n11-15215-20260519_113904.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/tvae-n11-15215-20260519_113904.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5573f2bb0afe35dc5ccafb73f53a3cb4d5f5cddd
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/tvae-n11-15215-20260519_113904.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9830cf2620e583ed4a98af259e149812f62437ce4cf99be5098d64c2e9f24dbc
+size 2885060
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260519_113237/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..da8206ccbd40d1556b2a85b4a6c42a846e4087b2
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163535/models_350epochs/tvae_350epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163535/tvae-n11-15215-20260520_172949.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163535/tvae-n11-15215-20260520_172949.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..7c86e869953b0344cf04a3d36fbee9ebc53a8961
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163535/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163535/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163535/models_350epochs/tvae_350epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 350))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..2f644cdf2925559d22d386fca073b1c83faa1136
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11575612ecf1d2dd44614010ad59b58ea71609ee52dc965f7a890d9860c1185a
+size 261
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/gen_20260520_172949.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/gen_20260520_172949.log
new file mode 100644
index 0000000000000000000000000000000000000000..c40d72c08f3bc2c590250ac8a9b43a2ef7bd3949
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/gen_20260520_172949.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a930f87eb5bb611b72b3b32b981bf36b8df71bd544d680b056ff09a7e1594a5f
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/models_350epochs/train_20260520_163535.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/models_350epochs/train_20260520_163535.log
new file mode 100644
index 0000000000000000000000000000000000000000..b2587a6f5f5585b8b3a332c91efe577d529a530c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/models_350epochs/train_20260520_163535.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2d467dd6db69bd03cfe3d73c29908d61f69e9effc910f588de6f585e73c2901
+size 667
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/models_350epochs/tvae_350epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/models_350epochs/tvae_350epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..c38467901484458a101b90435227681dc73fda57
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/models_350epochs/tvae_350epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af7780f0644d96086023dd856a8da10438a58300246cf5b41748c5e86b39e3e1
+size 4889324
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..ed616050bde2b7f223b31889ef40a633485994d9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e749abc0b76464f34ada31216fb92eea8293b748a1c7d99bbc6ee2cd95aecc8
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..ae5206e671cbcabb9281b95c9cae5d230663b483
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0003dc4ceb796341bf3e84f275f66ab8ee5044236d7e0d072830ab63842ed282
+size 2441
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..93f5df9bab34482eb2f6b69025f41ff018ea35da
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57bc533268eca5cb70856cfac2fe29b1deb89ad6806f1c86f90608a1ba77659f
+size 904
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..60221f6c2ba36dfcd79d00932af6bb236a8f1450
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:190118d16f4970aa761884345ccd49ab8ab47aba0c742d3a9ee30ed1a1c25bb0
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..0ab46f25c7a0ab64ed66435bcbba6e70a6a90388
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe905dbeed1a634c04ee00357007237a0f2f4ad13a2932cc6f228a733a36e9f4
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/tvae-n11-15215-20260520_172949.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/tvae-n11-15215-20260520_172949.csv
new file mode 100644
index 0000000000000000000000000000000000000000..df504c3ebc9e3ab45f077dcd43bed7b4bff71ef5
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/tvae-n11-15215-20260520_172949.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a7baf0cd9d2b13dbad3c19d56a7cf48acb53c96fb4eea872d83b21bc3b946d8
+size 2884581
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163535/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..f320a4354479addc953ffae482e9f7f6979d8cc6
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163616/models_75epochs/tvae_75epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163616/tvae-n11-15215-20260520_163955.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163616/tvae-n11-15215-20260520_163955.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..078abdad35127aecbfe681e8469c8193efed0d32
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163616/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163616/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_163616/models_75epochs/tvae_75epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 75))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..75fec22eb10528fb6be1e2224e04518783cfb0d1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f97192e42919e418322daf283381eab5fdc03099d6f92c79a1996b9df2919d16
+size 261
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/gen_20260520_163955.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/gen_20260520_163955.log
new file mode 100644
index 0000000000000000000000000000000000000000..adb335a5f837fcd65dccbd1e2e635bd4f886712a
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/gen_20260520_163955.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb9fa97afd54b30efffb6a4eb86a4f52716164bcb315333c32962b357da66a03
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/models_75epochs/train_20260520_163616.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/models_75epochs/train_20260520_163616.log
new file mode 100644
index 0000000000000000000000000000000000000000..f17bf237bf3985bed345bf3c73577a218a1c921c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/models_75epochs/train_20260520_163616.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70c718b73c7a2422344b2779ded177ce68501c2c83c42911066f0d5da18457e9
+size 664
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/models_75epochs/tvae_75epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/models_75epochs/tvae_75epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..f080fc821e7f1906f6cb9fd2d79d7cbdca4a5a63
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/models_75epochs/tvae_75epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16f7cd67d5868faf8351a11c3779bce484e5b3f44d33d6c6987bc239709d0ef3
+size 602335
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..87882824301c65f7202bec92b55ef62235bea990
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e2714146f8d856ed92409504690353325f561e5278477e0d4b98489bfe743d2
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..fd52c9eb3a85192c689f2f6c9a90998a8573f3a8
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5a9b8066416c594b76516fd890d7d33a65531c4dcfccb3a7a91df0f39eea76d
+size 2438
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..764829b26f5c5811a1be267c47278bfb87acc7a7
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ee19dd338dcaf4ff75b14d71fad36afeffe4a82041caf70754326bd9d8f2e40
+size 901
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..1f2eae68138bb20bd4c7fc9eaf564eb04e3ef8d1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c74dbb263dcc87e464ec44651a15a19d919b3c3718a58a0fee433bd19647fab
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..124925b36d4e181cd773b0c4e44d587a20e87796
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5fc02273398c5af525931663c81d717f0886c15e0c4bdb38246904cde392cdc0
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/tvae-n11-15215-20260520_163955.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/tvae-n11-15215-20260520_163955.csv
new file mode 100644
index 0000000000000000000000000000000000000000..778f7651f1c7e9c5fa7edf0a1ce45926dad54b83
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/tvae-n11-15215-20260520_163955.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2cd4b3a5c76efb4b5db4b5da5f9d093d2c42e5df567b864393aa5785ee7f636c
+size 2884051
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_163616/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..822acb4c10879e5cfc3d6967db9bdacdf013a4a2
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_164121/models_400epochs/tvae_400epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_164121/tvae-n11-15215-20260520_165902.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_164121/tvae-n11-15215-20260520_165902.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..4dd9f8ca5df5d4bca66515e426035a35e4ddaec9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_164121/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_164121/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_164121/models_400epochs/tvae_400epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 400))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..36b4fb1644ecf37afb4e2e9b41eb800cca3dd701
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b1c7665b6415825b5f644f04aa4194cd7d5060fecac8b27af5c1c9d91e4936c
+size 261
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/gen_20260520_165902.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/gen_20260520_165902.log
new file mode 100644
index 0000000000000000000000000000000000000000..f045f79bec24a85d5977121c2aa74eee9f5d7219
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/gen_20260520_165902.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5deb6374917436f5bacf7a318f303546e02cec8d20e503e4522f83d4cd9e676
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/models_400epochs/train_20260520_164122.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/models_400epochs/train_20260520_164122.log
new file mode 100644
index 0000000000000000000000000000000000000000..3547f33b440eae5d11e5a193e8b802bd7c0005a3
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/models_400epochs/train_20260520_164122.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:caf98e8bbdfa0552e1d0048278af835cd9e341aece9d9d08a777bbc2ff48d9b6
+size 667
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/models_400epochs/tvae_400epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/models_400epochs/tvae_400epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..a56cb1f14c26886d01608d2be459e58dfc17ead1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/models_400epochs/tvae_400epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ead422ca484bf9365ca73d3fcd0d74d8181361345f5b5bb902667e3a77533567
+size 1676844
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..487e613ee8d16f6bd29ffae7feb1cad7643f8aaf
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:912b8d96ff6540fe3fd7350c4f0b24284fad9ec4007ceb4f71a1b6ffae53f1c2
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6b1cf73ac119f800fc9067cb34b1e62341b4000f
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:643c8bf05b047ac18d0167788be3e99217fccc7751f2a03def1b77c4f97757d3
+size 2441
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..de7fdb93a5fdd87e58fb16d9dd54e0606a68e549
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8183135fc8846dfd1889763b95a1d55baec179ca2b9b3f1daca076eebe9571ad
+size 903
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..a00fed672df6e882777c9ea5cf8639018b07c345
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b838901f3775e08a53f458150f7f071ffae63b57c0979f8eaf34c0a55481fca9
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..78c1a70e4dae397a22527ce828335c6f6483f807
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:faa7788cef3b2cdc44c68abba06a694666ae1b7922e01d3cc876e67e9c63fcac
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/tvae-n11-15215-20260520_165902.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/tvae-n11-15215-20260520_165902.csv
new file mode 100644
index 0000000000000000000000000000000000000000..fdb0ca0fb55fef2fa20176ee75401f40c9cabb4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/tvae-n11-15215-20260520_165902.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fef1a311c2444dc05eff48a699b8ef66f7680c574cd61d2c0c49346ac70fb97
+size 2884043
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_164121/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..8de95d4d51f68574186f473beb85f8e36b61b14c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_170023/models_150epochs/tvae_150epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_170023/tvae-n11-15215-20260520_171326.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_170023/tvae-n11-15215-20260520_171326.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..94eb671a80c2da7f7c0bf19c232aa0eff0028d2c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_170023/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_170023/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_170023/models_150epochs/tvae_150epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 150))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..2db447c15bc8c291dde79535bcc9e7088efbe96a
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80a228b65160008fd7c570b690b6c529c879133e9df750be0e70a3875ba0ef6d
+size 261
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/gen_20260520_171326.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/gen_20260520_171326.log
new file mode 100644
index 0000000000000000000000000000000000000000..bce459175b391a4b720641ee74c6c80ed4663b71
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/gen_20260520_171326.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea90412ea31d9d87ceceadd041e032869a570f234e8f3016493bc0fd9f943bb0
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/models_150epochs/train_20260520_170023.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/models_150epochs/train_20260520_170023.log
new file mode 100644
index 0000000000000000000000000000000000000000..15c5bc72768a32e3d33063a8afc6c27a254894c3
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/models_150epochs/train_20260520_170023.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54721019b9070135970c246d20d1b7faa61bddb2dc1b9b5ac1d12b1df92150ff
+size 666
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/models_150epochs/tvae_150epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/models_150epochs/tvae_150epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..763d0cb5f63596544ee2f11a110f530c0cde18d3
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/models_150epochs/tvae_150epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7eb47d8b08a170b9ccf1a59c4dc9f7cf7b5b5040b4bc9cd1473339627263a5f8
+size 1306732
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..4843044b8b6662ebf14773ff4af05f97cce42419
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:584f276132eef126f3e2d8bf837d43de3223a9e84e599a6a84c4d888928c9e30
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..57aa3ca79820caedb4e91e2c6bedcabd2d684e29
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1aa3f2aab0eea0e6e38ae94115cc7c6dc5ebd4f16d6dedc6272bef5ca35ee9d8
+size 2441
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..e5339dba27fd0c6b30c9321c19dc95994c6000a6
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f69e75ca7d763c39fb3085020cd3a118cb076ee8e3bfd2e4b86d3a1151442729
+size 902
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..c261a6a1b48e081c667bd9db9360f2e4d15120f8
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e9f4f8bad605c4d9ca816dd7e4761d34633a97e3c0e0237a92ae8938b51bfe4
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b3149ef59eb0bd653f5b8521e71cd0a3a9133c43
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0121c474dfe705af3f044a8414cb713b23ec665f19034aaaf79a272629c8c3f
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/tvae-n11-15215-20260520_171326.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/tvae-n11-15215-20260520_171326.csv
new file mode 100644
index 0000000000000000000000000000000000000000..91dd318d9853018d7b0816f287c0d55fcf3ab576
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/tvae-n11-15215-20260520_171326.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5616ed487fad397b616ba9430f9d74d7456903a127054f6fc3e61e72687a0922
+size 2884819
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_170023/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..653629878e6af06c3d1d5bcc006759b202559567
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_171444/models_75epochs/tvae_75epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_171444/tvae-n11-15215-20260520_172702.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_171444/tvae-n11-15215-20260520_172702.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..fff5dbb0aad02468f2ad3e4eeb5f6886105afcf2
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_171444/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_171444/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_171444/models_75epochs/tvae_75epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 75))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..4c142d2e9df0d1e61ddc3315a83356850573fa2a
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f5c827356b009609895c6442f46f5cd7e6fed7731f97e6a2700da1865172fa43
+size 244
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/gen_20260520_172702.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/gen_20260520_172702.log
new file mode 100644
index 0000000000000000000000000000000000000000..954fbbfc564da30e480b9e4c9204d799fb72004b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/gen_20260520_172702.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:461c6ed69315f970b0a823e206c01269ef47c227bc6afed5da708c1ea67e0a7f
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/models_75epochs/train_20260520_171444.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/models_75epochs/train_20260520_171444.log
new file mode 100644
index 0000000000000000000000000000000000000000..91f840667a57586613cd61bf2b88481a2168ded1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/models_75epochs/train_20260520_171444.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e81b8aaa88a6a01b225393884242c31d0be49123530e44b4d9389232b8c1f63
+size 656
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/models_75epochs/tvae_75epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/models_75epochs/tvae_75epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..e34a173355de4b952eb8f72fd4c0464aa2f67d53
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/models_75epochs/tvae_75epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c4b6f94f578808d6f2499e1253a3ea574a8b637d2ee7f6c9a476c8f558d552e5
+size 1343195
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d5b1e24e36d1afd8c2c8470d8a82d48e341ac432
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd540d83f76252c8b48024cb8ec5b5b1d351c1707300fb8c35665484f42240e4
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7e38a79bf844b305ff3dc20ba02a4818beb872df
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b50e9b757d7a02134b17271be2563a49432c8196b77794299ca9cfe117ebf1aa
+size 2431
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..4ad21ad854480d89900c5ea9f68d467b8b9d6f3d
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c4511ee43ffa76749689fd236dfea99a7220f3cc0996d928a7bb54ca6051230
+size 900
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..d5b4beb1dcd6b31c8641dc555855b959ec963847
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0590bb133f86b68b86dda9dc6186fe6a6e5d4b0c75e2005f5dd9641fe3967140
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..4feb227ce8ea6d7f61981b5485c10556498a14c3
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:698d4e7cc93b4872ffb7617272103ad4f97b2f15c28a64b5bf23baeb240cacb4
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/tvae-n11-15215-20260520_172702.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/tvae-n11-15215-20260520_172702.csv
new file mode 100644
index 0000000000000000000000000000000000000000..084a8faf893b26166efc625829bb021959e7c03b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/tvae-n11-15215-20260520_172702.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85addaeb0faa00b4c47253e7db33ffe1743c09b1c2b7b7653819d798cf8b7e4e
+size 2884547
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_171444/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..f50645229798ab220645d5290efeae77e7086a79
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_172821/models_125epochs/tvae_125epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_172821/tvae-n11-15215-20260520_173901.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_172821/tvae-n11-15215-20260520_173901.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..c47e68159d54bfce162db6a3613063d2c072ad01
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_172821/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_172821/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_172821/models_125epochs/tvae_125epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 125))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..2f644cdf2925559d22d386fca073b1c83faa1136
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11575612ecf1d2dd44614010ad59b58ea71609ee52dc965f7a890d9860c1185a
+size 261
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/gen_20260520_173901.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/gen_20260520_173901.log
new file mode 100644
index 0000000000000000000000000000000000000000..f8215c1f4b12de41524cf0989eaf6bc159a1cc3f
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/gen_20260520_173901.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53a3d365dc759cdbffe244d58342745bacdf7cae198936716456ec48213dd8d6
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/models_125epochs/train_20260520_172822.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/models_125epochs/train_20260520_172822.log
new file mode 100644
index 0000000000000000000000000000000000000000..fae5f41c2c572283aba7acc85a06cd6dc0328577
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/models_125epochs/train_20260520_172822.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:718e862ba1cdb2c578b4a900e4dfd25b2ce424a2a9b4d11b7bd64ee2a154cb89
+size 666
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/models_125epochs/tvae_125epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/models_125epochs/tvae_125epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..d2f3ede04322fb81adaf345b26178dda83fd1bb8
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/models_125epochs/tvae_125epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f686d095bb2dc7ffa5a84b7c9114262160fc14e6f9a00b9a44e22a1e2cb4add
+size 1176044
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..317783838e7264aa21058358b05560cad2afc9ce
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5fd8d58ce7da5d48785e300b0169408bb0e3608e0746a56a286c1864e8a4e1f
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b3ef92fd900cdbed70d98292921f7e8438f584e6
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79148d24f5fc938547a5ac917175c27ae6ccb277e3e431df3619e54f35cc5e9e
+size 2441
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f6ae802f9da3e8afe8d2e1f1a8a937ef3cf5398
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:318b6d6660e6bb4a8303744684fec923bd846482f8193565725077cf6c219a01
+size 903
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/staged_features.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..38380510b7674c7cdd856f51da52bd91fa879aba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ea5e7a5363e366f12e9794c57325c7f28e71ef584464c2f78fa67b80eca9a82
+size 1025
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/test.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..59e413eb15b50a2ac49cd95bbe57b0d0018ccf95
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4e935f84569b849b662718eaa19be605037d46a5f7391f164728d6d9c3bb50
+size 148017
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/train.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cc5acd9fe00e8a233592b4da9797300adc83744b
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab621ac8239797506ce800c1409422452b8127da93add91dd9e6d63ddeec6f7
+size 1182326
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/val.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0a3b6ab9c53a7f8d97dff3290e643431f9ad023
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374e44edf25e58ca37eabbef0485c98cecdbdfa9d24da738937f404840bfad44
+size 147784
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/adapter_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..51867a46c75d2312ae09abe2619412325bf43c7e
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:174705f3414337c00f0980943deccdbaa2512d40b1d188de4e431ac65699de7e
+size 314
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/adapter_transforms_applied.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/model_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..5b52730c4a5a82507533561d24af6abf507051a2
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/staged/tvae/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:230492d74d27ea48e3f59fe2de549024f94281008f3e927c3852931712535ffa
+size 6259
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/tvae-n11-15215-20260520_173901.csv b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/tvae-n11-15215-20260520_173901.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c4676c36b1b5aa6c803f49b86ab6c9fc9cfefbfb
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/tvae-n11-15215-20260520_173901.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67e17390248082162a9eafdc61a45a4a8b9db3c2af018eb8b435d2c652d7ba1c
+size 2884255
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/tvae_metadata.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67a0338db890724baf86effd9cce456b4bfcdeb9
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_172821/tvae_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600119beca783dcd77c3bd4873a4dc3b4c207ab14bb1fceeb482b78deec4e45d
+size 726
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/_tvae_generate.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..457f45bf67477acb2fa7dc713cb42476ccd1bd85
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/_tvae_generate.py
@@ -0,0 +1,27 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+def _fit_cpu_staged_compat(self, *args, **kwargs):
+    raise RuntimeError("_fit_cpu_staged_compat should never be called during generate-only load")
+if not hasattr(TVAE, "_fit_cpu_staged"):
+    TVAE._fit_cpu_staged = _fit_cpu_staged_compat
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_173119/models_75epochs/tvae_75epochs.pt")
+total = 15215
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_173119/tvae-n11-15215-20260520_173444.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_173119/tvae-n11-15215-20260520_173444.csv")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/_tvae_train.py b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..9b4e3275f5657313eb44b702c80b8e9ef54ebe30
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/_tvae_train.py
@@ -0,0 +1,131 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+import torch
+from torch.optim import Adam
+from torch.utils.data import DataLoader, TensorDataset
+from tqdm import tqdm
+from ctgan.data import read_csv
+from ctgan.data_transformer import DataTransformer
+from ctgan.synthesizers.tvae import TVAE, Encoder, Decoder, _loss_function
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_173119/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_173119/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/n11/tvae/tvae-n11-20260520_173119/models_75epochs/tvae_75epochs.pt"
+epochs = int(os.environ.get("TVAE_EPOCHS", 75))
+batch_size = int(os.environ.get("TVAE_BATCH_SIZE", "500"))
+embedding_dim = int(os.environ.get("TVAE_EMBEDDING_DIM", "128"))
+l2scale = float(os.environ.get("TVAE_L2SCALE", "1e-5"))
+loss_factor = float(os.environ.get("TVAE_LOSS_FACTOR", "2"))
+def _parse_dims(name, default):
+    raw = (os.environ.get(name) or "").strip()
+    if not raw:
+        return default
+    return tuple(int(x.strip()) for x in raw.split(",") if x.strip())
+compress_dims = _parse_dims("TVAE_COMPRESS_DIMS", (128, 128))
+decompress_dims = _parse_dims("TVAE_DECOMPRESS_DIMS", (128, 128))
+
+def _fit_cpu_staged(self, train_data, discrete_columns=()):
+    self.transformer = DataTransformer()
+    self.transformer.fit(train_data, discrete_columns)
+    train_data = self.transformer.transform(train_data)
+    pin_memory = getattr(self._device, "type", str(self._device)) == "cuda"
+    dataset = TensorDataset(torch.from_numpy(train_data.astype("float32")))
+    loader = DataLoader(
+        dataset,
+        batch_size=self.batch_size,
+        shuffle=True,
+        drop_last=False,
+        pin_memory=pin_memory,
+    )
+
+    data_dim = self.transformer.output_dimensions
+    encoder = Encoder(data_dim, self.compress_dims, self.embedding_dim).to(self._device)
+    self.decoder = Decoder(self.embedding_dim, self.decompress_dims, data_dim).to(self._device)
+    optimizerAE = Adam(
+        list(encoder.parameters()) + list(self.decoder.parameters()),
+        weight_decay=self.l2scale,
+    )
+
+    self.loss_values = pd.DataFrame(columns=["Epoch", "Batch", "Loss"])
+    iterator = tqdm(range(self.epochs), disable=(not self.verbose))
+    if self.verbose:
+        iterator_description = "Loss: {loss:.3f}"
+        iterator.set_description(iterator_description.format(loss=0))
+
+    for i in iterator:
+        loss_values = []
+        batch = []
+        for id_, data in enumerate(loader):
+            optimizerAE.zero_grad()
+            real = data[0].to(self._device, non_blocking=pin_memory)
+            mu, std, logvar = encoder(real)
+            eps = torch.randn_like(std)
+            emb = eps * std + mu
+            rec, sigmas = self.decoder(emb)
+            loss_1, loss_2 = _loss_function(
+                rec,
+                real,
+                sigmas,
+                mu,
+                logvar,
+                self.transformer.output_info_list,
+                self.loss_factor,
+            )
+            loss = loss_1 + loss_2
+            loss.backward()
+            optimizerAE.step()
+            self.decoder.sigma.data.clamp_(0.01, 1.0)
+
+            batch.append(id_)
+            loss_values.append(loss.detach().cpu().item())
+
+        epoch_loss_df = pd.DataFrame({
+            "Epoch": [i] * len(batch),
+            "Batch": batch,
+            "Loss": loss_values,
+        })
+        if not self.loss_values.empty:
+            self.loss_values = pd.concat(
+                [self.loss_values, epoch_loss_df]
+            ).reset_index(drop=True)
+        else:
+            self.loss_values = epoch_loss_df
+
+        if self.verbose:
+            iterator.set_description(
+                iterator_description.format(loss=loss.detach().cpu().item())
+            )
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}, batch_size={batch_size}, embedding_dim={embedding_dim}, compress_dims={compress_dims}, decompress_dims={decompress_dims}, l2scale={l2scale}, loss_factor={loss_factor}")
+_orig_fit = TVAE.fit
+TVAE.fit = _fit_cpu_staged
+try:
+    model = TVAE(
+        epochs=epochs,
+        batch_size=batch_size,
+        embedding_dim=embedding_dim,
+        compress_dims=compress_dims,
+        decompress_dims=decompress_dims,
+        l2scale=l2scale,
+        loss_factor=loss_factor,
+    )
+    model.fit(data, discrete_columns)
+finally:
+    TVAE.fit = _orig_fit
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/bo_combo.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/bo_combo.json
new file mode 100644
index 0000000000000000000000000000000000000000..75fec22eb10528fb6be1e2224e04518783cfb0d1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/bo_combo.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f97192e42919e418322daf283381eab5fdc03099d6f92c79a1996b9df2919d16
+size 261
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/gen_20260520_173444.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/gen_20260520_173444.log
new file mode 100644
index 0000000000000000000000000000000000000000..9d88035c9f72548e7a04f47fb783e80b501a1205
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/gen_20260520_173444.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e42c58375ad4c0fec904e7d0b7def1993f71da34f2d27d4e9f9f9403c99b9f5
+size 409
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/input_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..06e6c5fd80c3dcb18bc9156e51c573bdee081242
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608e48ec09d1ed64b35c42a4317e8e79cd812bd576b810d0e45a122bb7beb4cc
+size 1357
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/models_75epochs/train_20260520_173120.log b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/models_75epochs/train_20260520_173120.log
new file mode 100644
index 0000000000000000000000000000000000000000..1a19b59ea2c8f640dbbc086c426a79724e04aa93
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/models_75epochs/train_20260520_173120.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11207e91536cd73fe795ca86aee46fa84b2d09109fd32256557bdb68712027b4
+size 664
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/models_75epochs/tvae_75epochs.pt b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/models_75epochs/tvae_75epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..df00082d88df9b56addaa6d588ff96b3a2f5156f
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/models_75epochs/tvae_75epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7428f81ee557bd5abdd0e8d2aad59c6c254d79fbc89473d7ebe2ed9d3ed4d72
+size 602463
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/normalized_schema_snapshot.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5dd2b4d66e54e5dbeff78b827bc48cfa7dbdf1
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c3209b66f9891477ccb430a3d02e3a299eb9c1a2d045bbf528bdfeb8de4fb0
+size 5283
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/public_gate_report.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..59dc44de856101118ae1288822ef9be24e1daf4c
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6336138aac04ffe8bd9b1596f9d11556e4417d85ddb950dd20c9532ef6b9fd80
+size 915
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/staged_input_manifest.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..703b235d49a3ecad2cd8a188c687aa11b49a8c20
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc18bedc766890df492d07033e8ad238912d259ce2cceefbe5289e469735890b
+size 6069
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/run_config.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9469236273549aed7f08a53e59a0be377d04c4f
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/run_config.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ec6a30f8698ee74a16c29be2c30859dae78005518408481e588206f58a77b3b
+size 2438
diff --git a/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/runtime_result.json b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..62c876b42e600ac3202e922a0e8e4e04d7171356
--- /dev/null
+++ b/SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_173119/runtime_result.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d933f559a71749d76e3f2a4a4bf27ee6ada862d0bc6a267a1008f74c5427709f
+size 901