Resume SynthData0523 main/c9 batch 2

.gitattributes

@@ -5926,3 +5926,33 @@ SynthData0523/main/c9/ctgan/ctgan-c9-20260321_072731/ctgan-c9-1000-20260321_0751
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 SynthData0523/main/c9/ctgan/ctgan-c9-20260321_072731/models_300epochs/train_20260321_072731.log filter=lfs diff=lfs merge=lfs -text
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SynthData0523/main/c9/ctgan/ctgan-c9-20260321_072731/public_gate/public_gate_report.json

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+}

SynthData0523/main/c9/ctgan/ctgan-c9-20260321_072731/public_gate/staged_input_manifest.json

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SynthData0523/main/c9/ctgan/ctgan-c9-20260321_072731/runtime_result.json

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SynthData0523/main/c9/ctgan/ctgan-c9-20260321_072731/staged/ctgan/adapter_report.json

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SynthData0523/main/c9/ctgan/ctgan-c9-20260321_072731/staged/ctgan/adapter_transforms_applied.json

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SynthData0523/main/c9/ctgan/ctgan-c9-20260321_072731/staged/ctgan/model_input_manifest.json

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+}

SynthData0523/main/c9/ctgan/ctgan-c9-20260321_072731/staged/public/staged_features.json

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+
+import os, shutil, subprocess, sys
+root = r"/workspace/ef-vfm"
+name = r"pipeline_ds"
+src = r"/work/output-SpecializedModels/c9/tabbyflow/tabbyflow-c9-20260420_074328/tabular_bundle/pipeline_ds"
+dst_data = os.path.join(root, "data", name)
+shutil.rmtree(dst_data, ignore_errors=True)
+shutil.copytree(src, dst_data)
+dst_syn = os.path.join(root, "synthetic", name)
+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(root)
+os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
+subprocess.check_call([
+    sys.executable, "main.py",
+    "--dataname", name, "--mode", "test", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_efvfm",
+    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_efvfm/model_500.pt",
+    "--num_samples_to_generate", str(int(26215)),
+])
+base = os.path.join(root, "ef_vfm", "result", name, r"adapter_efvfm")
+best = None
+best_t = -1.0
+for r, _, files in os.walk(base):
+    if "samples.csv" in files:
+        p = os.path.join(r, "samples.csv")
+        t = os.path.getmtime(p)
+        if t > best_t:
+            best_t, best = t, p
+if not best:
+    raise SystemExit("tabbyflow: no samples.csv in " + base)
+shutil.copy(best, r"/work/output-SpecializedModels/c9/tabbyflow/tabbyflow-c9-20260420_074328/tabbyflow-c9-26215-20260420_075137.csv")

SynthData0523/main/c9/tabbyflow/tabbyflow-c9-20260420_074328/_tabbyflow_train.py

@@ -0,0 +1,22 @@
+
+import os, shutil, subprocess, sys
+root = r"/workspace/ef-vfm"
+name = r"pipeline_ds"
+src = r"/work/output-SpecializedModels/c9/tabbyflow/tabbyflow-c9-20260420_074328/tabular_bundle/pipeline_ds"
+os.makedirs(os.path.join(root, "data", name), exist_ok=True)
+dst_data = os.path.join(root, "data", name)
+dst_syn = os.path.join(root, "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(root)
+os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
+os.environ["EFVFM_SMOKE_STEPS"] = "500"
+os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
+subprocess.check_call([
+    sys.executable, "main.py",
+    "--dataname", name, "--mode", "train", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_efvfm",
+])

SynthData0523/main/c9/tabbyflow/tabbyflow-c9-20260420_074328/input_snapshot.json

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SynthData0523/main/c9/tabbyflow/tabbyflow-c9-20260420_074328/models_tabbyflow/trained.pt

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SynthData0523/main/c9/tabbyflow/tabbyflow-c9-20260420_074328/public_gate/normalized_schema_snapshot.json

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