Resume SynthData0523 main/m11 batch 2

.gitattributes

@@ -7296,3 +7296,75 @@ SynthData0523/main/m11/tabddpm/tabddpm-m11-20260321_154503/staged/public/val.csv
 SynthData0523/main/m11/tabddpm/tabddpm-m11-20260321_154503/tabddpm-m11-1000-20260321_155200.csv filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/m11/tabddpm/tabddpm-m11-20260321_154503/tabddpm-m11-304887-20260425_061531.csv filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/m11/tabddpm/tabddpm-m11-20260321_154503/train_20260321_154510.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/gen_20260501_171949.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/models_tabdiff/trained.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/tabdiff/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/tabdiff/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/tabdiff/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabdiff-m11-304887-20260501_171949.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabdiff_train_meta.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_cat_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_cat_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_cat_val.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_num_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_num_val.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/info.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/real.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/y_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/y_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/y_val.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/train_20260501_164344.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/gen_20260512_035732.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/tabpfgen/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/tabpfgen/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/tabpfgen/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/tabpfgen-m11-304887-20260512_035732.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/tabpfgen_meta.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/train_20260512_035732.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/data/tabsyn_m11/X_cat_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/data/tabsyn_m11/X_cat_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/data/tabsyn_m11/X_num_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/data/tabsyn_m11/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/data/tabsyn_m11/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/data/tabsyn_m11/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/data/tabsyn_m11/y_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/data/tabsyn_m11/y_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/gen_20260427_005302.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/synthetic/tabsyn_m11/real.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/synthetic/tabsyn_m11/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/tabsyn-m11-304887-20260427_005302.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tabsyn/tabsyn-m11-20260426_220916/train_20260426_220925.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tvae/tvae-m11-20260328_052639/gen_20260328_133409.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tvae/tvae-m11-20260328_052639/gen_20260330_065910.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tvae/tvae-m11-20260328_052639/models_300epochs/train_20260328_052648.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tvae/tvae-m11-20260328_052639/models_300epochs/tvae_300epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tvae/tvae-m11-20260328_052639/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tvae/tvae-m11-20260328_052639/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tvae/tvae-m11-20260328_052639/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tvae/tvae-m11-20260328_052639/tvae-m11-1000-20260328_133409.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m11/tvae/tvae-m11-20260328_052639/tvae-m11-304887-20260330_065910.csv filter=lfs diff=lfs merge=lfs -text

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/_tabdiff_train.py

@@ -0,0 +1,21 @@
+
+import os, shutil, subprocess, sys
+td = r"/workspace/TabDiff"
+name = r"pipeline_m11"
+src = r"/work/output-Benchmark-trainonly-v1/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11"
+dst_data = os.path.join(td, "data", name)
+dst_syn = os.path.join(td, "synthetic", name)
+shutil.rmtree(dst_data, ignore_errors=True)
+shutil.copytree(src, dst_data)
+os.makedirs(dst_syn, exist_ok=True)
+for fn in ("real.csv", "test.csv", "val.csv"):
+    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
+os.chdir(td)
+os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "")
+os.environ["TABDIFF_SMOKE_STEPS"] = "500"
+os.environ["TABDIFF_ADAPTER_TRAIN"] = "1"
+subprocess.check_call([
+    sys.executable, "-m", "tabdiff.main",
+    "--dataname", name, "--mode", "train", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_learnable",
+])

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/gen_20260501_171949.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8c64eb68bf8e8f50e5373f9e470115efdf91539cad3fd613278d73dab71bef9
+size 27885

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/input_snapshot.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8ac55dbf17c55169dabaca9416fbc85d2e0583874335078e6fa0315f6e59da3
+size 1363

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/models_tabdiff/trained.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:306660b8aad4549267c68390b017e15ddb9bc06a02c80515eb72a97ae31a81eb
+size 74

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c72ff0473a3e4d42dad399ccbdb6e25cab814c11f02c3a1babfb03fd5d70f458
+size 5400

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/public_gate/public_gate_report.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb18c9a3847a7fe402ca54d6b81c82b5f972dabd33e76640650e8b456eab8ae9
+size 932

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/public_gate/staged_input_manifest.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abaa81c0a7c2ae34f694d831ecf3248ea8ab77d6476d8f8edd60cc401ec6e3de
+size 6216

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/runtime_result.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c2c3eceab681c0b28ce6fe62b89c77434136be3e81d89d2196b54aed7ef3893
+size 917

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/public/staged_features.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b36d25a7769c0cbf2fcdd4f1ea3c717718c21b7d7f3af2e7650de64254c8a17d
+size 1160

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/public/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45a031a23f36e6dec485a2c50a0314a1e7d92b0f084fe2fe226b068b2781783d
+size 2143487

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/public/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:929bf5af6a31a08475878fb8f509e60d9b9aa0a48344ec40053e242f33eb15aa
+size 17145673

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd630014d7f4fb9141831d29ca94cf2849de0e2a950913df63df846778180600
+size 2143479

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/tabdiff/adapter_report.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20b9a19957a2e9b7868a3ec2cf039a51e338e8c24219cf2dd94b1fc3d6eddb76
+size 323

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/tabdiff/adapter_transforms_applied.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/staged/tabdiff/model_input_manifest.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:110d206b95beea76fb592f9ae0a6b0dd35374ecc50c7d14748dc719de73f62c3
+size 6415

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabdiff-m11-304887-20260501_171949.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03e01cb3c0efc3aab2576146770532fbb227d583ecc24de7f3b016801f5ab17c
+size 20223966

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabdiff_train_meta.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e598720526ed26023ef0b05c770ff3a859a4ac4a20978485c7f5d8452e35334
+size 83

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_cat_test.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a78503c9cba18dd962724db14a8b0efea06faf5f9d4011b56afefd0452414be1
+size 12195608

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_cat_train.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a78503c9cba18dd962724db14a8b0efea06faf5f9d4011b56afefd0452414be1
+size 12195608

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_cat_val.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a78503c9cba18dd962724db14a8b0efea06faf5f9d4011b56afefd0452414be1
+size 12195608

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_num_test.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d5f5c8cae5f4eff29b6dddc227ad5e86666e96261d2c244dc799c8833de4e3f
+size 7317416

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_num_train.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d5f5c8cae5f4eff29b6dddc227ad5e86666e96261d2c244dc799c8833de4e3f
+size 7317416

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/X_num_val.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d5f5c8cae5f4eff29b6dddc227ad5e86666e96261d2c244dc799c8833de4e3f
+size 7317416

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/info.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31a921ad9b1552f591e9afb50db1b9209d7a1ac4dc6f9e6f0dd897c102c773f2
+size 2396

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/real.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:828ef07c841ea828f47adb845accc89a2a9b60ff3c20f37f6853e378d48f0559
+size 13345301

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:828ef07c841ea828f47adb845accc89a2a9b60ff3c20f37f6853e378d48f0559
+size 13345301

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:828ef07c841ea828f47adb845accc89a2a9b60ff3c20f37f6853e378d48f0559
+size 13345301

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/y_test.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2667c7014e3dfcccbbfd9fb6e698a6d6b81478c60b908d90df31356e8622c88
+size 2439224

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/y_train.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2667c7014e3dfcccbbfd9fb6e698a6d6b81478c60b908d90df31356e8622c88
+size 2439224

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/tabular_bundle/pipeline_m11/y_val.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2667c7014e3dfcccbbfd9fb6e698a6d6b81478c60b908d90df31356e8622c88
+size 2439224

SynthData0523/main/m11/tabdiff/tabdiff-m11-20260501_164336/train_20260501_164344.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dbf98a386759f4c41a96c47dd27c8770f829ffe91dc4a07755c6d94aac297ac1
+size 7828071

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/_tabpfgen_generate.py

@@ -0,0 +1,131 @@
+import os
+import numpy as np
+import pandas as pd
+import json
+from tabpfgen import TabPFGen
+
+df = pd.read_csv("/work/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/public/train.csv")
+target_col = "Previously_Insured"
+
+target_missing = df[target_col].isna()
+if target_missing.any():
+    dropped = int(target_missing.sum())
+    df = df.loc[~target_missing].copy()
+    print(
+        f"[TabPFGen] Dropped {dropped} rows with missing target '{target_col}'"
+    )
+if df.empty:
+    raise ValueError(
+        f"[TabPFGen] No rows remain after dropping missing target '{target_col}'"
+    )
+
+feature_cols = [c for c in df.columns if c != target_col]
+
+cat_encodings = {}
+for col in feature_cols:
+    if df[col].dtype == object or str(df[col].dtype) == 'category':
+        cats = sorted(df[col].dropna().unique().tolist(), key=str)
+        cat_map = {v: i for i, v in enumerate(cats)}
+        df[col] = df[col].map(cat_map).astype(float)
+        cat_encodings[col] = cats
+        print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)")
+
+target_cats = None
+if df[target_col].dtype == object or str(df[target_col].dtype) == 'category':
+    cats = sorted(df[target_col].dropna().unique().tolist(), key=str)
+    t_map = {v: i for i, v in enumerate(cats)}
+    df[target_col] = df[target_col].map(t_map).astype(float)
+    target_cats = cats
+    print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)")
+
+X = df[feature_cols].values.astype(np.float32)
+y = df[target_col].values
+fit_rows_cap = max(1, int(os.environ.get("TABPFGEN_FIT_MAX_ROWS", "50000")))
+if len(X) > fit_rows_cap:
+    rng = np.random.default_rng(42)
+    idx = np.sort(rng.choice(len(X), size=fit_rows_cap, replace=False))
+    X = X[idx]
+    y = y[idx]
+    print(f"[TabPFGen] Downsampled fit rows -> {len(X)} (cap={fit_rows_cap})")
+target_n = int(304887)
+
+for i in range(X.shape[1]):
+    col_vals = X[:, i]
+    mask = np.isnan(col_vals)
+    if mask.any():
+        mean_val = np.nanmean(col_vals)
+        X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0
+
+chunk_rows = max(1, int(os.environ.get("TABPFGEN_GEN_CHUNK_ROWS", "256")))
+device = (os.environ.get("TABPFGEN_DEVICE") or "auto").strip() or "auto"
+
+n_sgld_steps = max(1, int(os.environ.get("TABPFGEN_N_SGLD_STEPS", "1000")))
+sgld_step_size = float(os.environ.get("TABPFGEN_SGLD_STEP_SIZE", "0.01"))
+sgld_noise_scale = float(os.environ.get("TABPFGEN_SGLD_NOISE_SCALE", "0.01"))
+
+# TabPFGen v0.1.x API：仅支持 n_sgld_steps / sgld_* / device。
+# （旧版脚本中的 energy_*_chunk 与上游 TabPFGen 不一致，会导致 TypeError。）
+gen = TabPFGen(
+    n_sgld_steps=n_sgld_steps,
+    sgld_step_size=sgld_step_size,
+    sgld_noise_scale=sgld_noise_scale,
+    device=device,
+)
+
+print(
+    f"[TabPFGen] Generating {target_n} rows via generate_classification "
+    f"(chunk_rows={chunk_rows}, device={device}, "
+    f"n_sgld_steps={n_sgld_steps}, sgld_step_size={sgld_step_size}, "
+    f"sgld_noise_scale={sgld_noise_scale})"
+)
+x_parts = []
+y_parts = []
+remaining = target_n
+while remaining > 0:
+    take = min(chunk_rows, remaining)
+    X_part, y_part = gen.generate_classification(X, y, n_samples=take)
+    x_parts.append(np.asarray(X_part))
+    y_parts.append(np.asarray(y_part))
+    remaining -= take
+    print(f"[TabPFGen] chunk done: take={take}, remaining={remaining}")
+
+X_syn = np.concatenate(x_parts, axis=0)
+y_syn = np.concatenate(y_parts, axis=0)
+
+syn_df = pd.DataFrame(X_syn, columns=feature_cols)
+syn_df[target_col] = y_syn
+
+for col, cats in cat_encodings.items():
+    codes = np.round(syn_df[col].values).astype(int)
+    codes = np.clip(codes, 0, len(cats) - 1)
+    syn_df[col] = [cats[c] for c in codes]
+
+if target_cats is not None:
+    codes = np.round(syn_df[target_col].values).astype(int)
+    codes = np.clip(codes, 0, len(target_cats) - 1)
+    syn_df[target_col] = [target_cats[c] for c in codes]
+
+if len(syn_df) > target_n:
+    print(f"[TabPFGen] Trimming rows: {len(syn_df)} -> {target_n}")
+    syn_df = syn_df.iloc[:target_n].copy()
+elif len(syn_df) < target_n:
+    deficit = target_n - len(syn_df)
+    print(f"[TabPFGen] Padding rows: {len(syn_df)} -> {target_n} (deficit={deficit})")
+    if len(syn_df) > 0:
+        extra = syn_df.sample(n=deficit, replace=True, random_state=42)
+        syn_df = pd.concat(
+            [syn_df.reset_index(drop=True), extra.reset_index(drop=True)],
+            ignore_index=True,
+        )
+    else:
+        syn_df = df[feature_cols + [target_col]].sample(
+            n=target_n, replace=True, random_state=42
+        ).reset_index(drop=True)
+
+syn_df = syn_df[list(df.columns)]
+if len(syn_df) != target_n:
+    raise RuntimeError(
+        f"[TabPFGen] Row alignment failed: got {len(syn_df)}, expected {target_n}"
+    )
+syn_df.to_csv("/work/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260512_035731/tabpfgen-m11-304887-20260512_035732.csv", index=False)
+print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260512_035731/tabpfgen-m11-304887-20260512_035732.csv")

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/gen_20260512_035732.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d99ac280ec6b36930481a0b8dd98b2dec0636ff80686bf1e3061f1036688001a
+size 224466

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/input_snapshot.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53e35f9379e1fa3df4592b7fec3d58538f099b5e2d4c375e324cb021480133a2
+size 1364

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c72ff0473a3e4d42dad399ccbdb6e25cab814c11f02c3a1babfb03fd5d70f458
+size 5400

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/public_gate/public_gate_report.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb18c9a3847a7fe402ca54d6b81c82b5f972dabd33e76640650e8b456eab8ae9
+size 932

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/public_gate/staged_input_manifest.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb75e058fea536198dbc9507725f827334d089efc1d7a2b3ca40b104f8befc50
+size 6226

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/run_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f121e0581f655d9694ec3cd3a579e2b1f0704b7df215f96c9e7dacd8654f071
+size 2048

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/runtime_result.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:959f54dcac07ea5c1aaf1060dcbd4365b42906c96b72cde63f1238f162c2b354
+size 899

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/public/staged_features.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b36d25a7769c0cbf2fcdd4f1ea3c717718c21b7d7f3af2e7650de64254c8a17d
+size 1160

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/public/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45a031a23f36e6dec485a2c50a0314a1e7d92b0f084fe2fe226b068b2781783d
+size 2143487

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/public/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:929bf5af6a31a08475878fb8f509e60d9b9aa0a48344ec40053e242f33eb15aa
+size 17145673

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd630014d7f4fb9141831d29ca94cf2849de0e2a950913df63df846778180600
+size 2143479

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/tabpfgen/adapter_report.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1dcc61538a404663c490eb8c08cfa9c9d8cb724b68f97b4422baca379b170d7f
+size 326

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/tabpfgen/adapter_transforms_applied.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945
+size 2

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/staged/tabpfgen/model_input_manifest.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f8a7256fe705ac2616ce71be389d23cf2f6de9a2a9e2af60dd255dbe29d8773
+size 6428

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/tabpfgen-m11-304887-20260512_035732.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82a09437c5bdf12729233875da203db705d9654989d2b0e4d22bcbc79b90408b
+size 25220715

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/tabpfgen_meta.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71a3538c309c9965437a337cbd31f245e197d6818e38f993f97446ec94551a6c
+size 464

SynthData0523/main/m11/tabpfgen/tabpfgen-m11-20260512_035731/train_20260512_035732.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b154dc480214db17b4a9fc0bd5b81fa9d4ae8f328fb2b1b866039842a3599bac
+size 599