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a/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_gen.py b/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..5402e6e88d197a4c85afd0e18470b66c1ab55cf1 --- /dev/null +++ b/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_gen.py @@ -0,0 +1,33 @@ + +import os, shutil, subprocess, sys +root = r"/workspace/ef-vfm" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c11/tabbyflow/tabbyflow-c11-20260422_035745/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_tabbyflow-c11-20260422_035745", + "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_tabbyflow-c11-20260422_035745/model_500.pt", + "--num_samples_to_generate", str(int(54045)), +]) +base = os.path.join(root, "ef_vfm", "result", name, r"adapter_tabbyflow-c11-20260422_035745") +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/c11/tabbyflow/tabbyflow-c11-20260422_035745/tabbyflow-c11-54045-20260422_052600.csv") diff --git a/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_train.py b/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_train.py new file mode 100644 index 0000000000000000000000000000000000000000..0f0e6e0ca84cd0d4e595ef010de3ce97efe3123a --- /dev/null +++ b/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/_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/c11/tabbyflow/tabbyflow-c11-20260422_035745/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_tabbyflow-c11-20260422_035745", +]) diff --git a/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/input_snapshot.json b/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..5fa3e0dd07c81060db25970d9167d0f4f1c208a9 --- /dev/null +++ b/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/input_snapshot.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8cb9b6340d62a2acf761591bd95ee11e10962e984fa422b56e386d940f64b2a +size 1364 diff --git a/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/models_tabbyflow/trained.pt b/syntheticSuccess/c11/tabbyflow/tabbyflow-c11-20260422_035745/models_tabbyflow/trained.pt new 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a/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/_fd_gen.py b/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/_fd_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..b6860ca636035aad18a95a77de2bd83558c4df2f --- /dev/null +++ b/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/_fd_gen.py @@ -0,0 +1,8 @@ + +import joblib, pandas as pd +m, meta = joblib.load(r'/work/output-SpecializedModels/c20/forestdiffusion/forest-c20-20260425_021841/forestdiffusion_model.joblib') +# generate:batch_size 为样本数 +arr = m.generate(batch_size=int(35855)) +df = pd.DataFrame(arr, columns=meta["column_names"]) +df.to_csv(r'/work/output-SpecializedModels/c20/forestdiffusion/forest-c20-20260425_021841/forest-c20-35855-20260425_073030.csv', index=False) +print("saved", len(df)) diff --git a/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/_fd_meta_host.json b/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/_fd_meta_host.json new file mode 100644 index 0000000000000000000000000000000000000000..5e391eb21a72244051404e2cedfc1a793a5210d9 --- /dev/null +++ b/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/_fd_meta_host.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a290cb0222277fe1a2a420297fc8e9cd21f17f602eb3588ef7e2cf7da72aa850 +size 180 diff --git a/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/_fd_train.py b/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/_fd_train.py new file mode 100644 index 0000000000000000000000000000000000000000..01e85e3a275dcfa6b74f23174944f5c5cd0ed43d --- /dev/null +++ b/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/_fd_train.py @@ -0,0 +1,20 @@ + +import shutil, json +shutil.copy(r'/work/output-SpecializedModels/c20/forestdiffusion/forest-c20-20260425_021841/_fd_X_host.npy', '/tmp/fd_X.npy') +with open(r'/work/output-SpecializedModels/c20/forestdiffusion/forest-c20-20260425_021841/_fd_meta_host.json') as f: + open('/tmp/fd_meta.json','w').write(f.read()) + +import numpy as np, joblib, json, os +from ForestDiffusion import ForestDiffusionModel +X = np.load("/tmp/fd_X.npy") +with open("/tmp/fd_meta.json") as f: + meta = json.load(f) +cat_indexes = meta["cat_indexes"] +m = ForestDiffusionModel( + X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2, + model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes, +) +joblib.dump((m, meta), "/tmp/fd_model.joblib") +print("ForestDiffusion train OK") + +shutil.copy('/tmp/fd_model.joblib', r'/work/output-SpecializedModels/c20/forestdiffusion/forest-c20-20260425_021841/forestdiffusion_model.joblib') diff --git a/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/forest-c20-35855-20260425_073030.csv b/syntheticSuccess/c20/forestdiffusion/forest-c20-20260425_021841/forest-c20-35855-20260425_073030.csv new file 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+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_tabbyflow-c20-20260423_221729", + "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_tabbyflow-c20-20260423_221729/model_500.pt", + "--num_samples_to_generate", str(int(35855)), +]) +base = os.path.join(root, "ef_vfm", "result", name, r"adapter_tabbyflow-c20-20260423_221729") +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/c20/tabbyflow/tabbyflow-c20-20260423_221729/tabbyflow-c20-35855-20260423_222304.csv") diff --git a/syntheticSuccess/c20/tabbyflow/tabbyflow-c20-20260423_221729/_tabbyflow_train.py b/syntheticSuccess/c20/tabbyflow/tabbyflow-c20-20260423_221729/_tabbyflow_train.py new file mode 100644 index 0000000000000000000000000000000000000000..d8ef125112885761b7ec3b9938e6ad7bcf79d3fd --- /dev/null +++ b/syntheticSuccess/c20/tabbyflow/tabbyflow-c20-20260423_221729/_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/c20/tabbyflow/tabbyflow-c20-20260423_221729/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_tabbyflow-c20-20260423_221729", +]) diff --git a/syntheticSuccess/c20/tabbyflow/tabbyflow-c20-20260423_221729/input_snapshot.json b/syntheticSuccess/c20/tabbyflow/tabbyflow-c20-20260423_221729/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..d30f51803a7ee91b977c2cc52f2dd2114e884e05 --- /dev/null +++ b/syntheticSuccess/c20/tabbyflow/tabbyflow-c20-20260423_221729/input_snapshot.json @@ -0,0 +1,3 @@ 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b/syntheticSuccess/c3/tabbyflow/tabbyflow-c3-20260420_051949/_tabbyflow_gen.py @@ -0,0 +1,33 @@ + +import os, shutil, subprocess, sys +root = r"/workspace/ef-vfm" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c3/tabbyflow/tabbyflow-c3-20260420_051949/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(2551)), +]) +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/c3/tabbyflow/tabbyflow-c3-20260420_051949/tabbyflow-c3-2551-20260420_052609.csv") diff --git a/syntheticSuccess/c3/tabbyflow/tabbyflow-c3-20260420_051949/_tabbyflow_train.py b/syntheticSuccess/c3/tabbyflow/tabbyflow-c3-20260420_051949/_tabbyflow_train.py new file mode 100644 index 0000000000000000000000000000000000000000..4279184cc4b845ac2c6a6a4a51a2a3310dc11ec0 --- /dev/null +++ b/syntheticSuccess/c3/tabbyflow/tabbyflow-c3-20260420_051949/_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/c3/tabbyflow/tabbyflow-c3-20260420_051949/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", +]) diff --git a/syntheticSuccess/c3/tabbyflow/tabbyflow-c3-20260420_051949/input_snapshot.json b/syntheticSuccess/c3/tabbyflow/tabbyflow-c3-20260420_051949/input_snapshot.json 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