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"/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c8/realtabformer/rtf-c8-20260328_150848/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c8/realtabformer/rtf-c8-20260328_150848/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c8/realtabformer/rtf-c8-20260328_150848/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c8/realtabformer/rtf-c8-20260328_150848/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c8/realtabformer/rtf-c8-20260328_150848/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/SynthData0523/main/c8/realtabformer/rtf-c8-20260328_150848/train_20260328_150848.log b/SynthData0523/main/c8/realtabformer/rtf-c8-20260328_150848/train_20260328_150848.log new file mode 100644 index 0000000000000000000000000000000000000000..009c6ab158806b20120ddfbbe08617156cddb730 --- /dev/null +++ b/SynthData0523/main/c8/realtabformer/rtf-c8-20260328_150848/train_20260328_150848.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0bc8571bb7ace49b37c2300a920aded06d7cdd621c3843f67d9e577cea48625b +size 1988132 diff --git a/SynthData0523/main/c8/tabbyflow/tabbyflow-c8-20260420_072139/_tabbyflow_gen.py b/SynthData0523/main/c8/tabbyflow/tabbyflow-c8-20260420_072139/_tabbyflow_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..9f3fc9361464fb6702a9efb1c04961c8cfc01d1b --- /dev/null +++ b/SynthData0523/main/c8/tabbyflow/tabbyflow-c8-20260420_072139/_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/c8/tabbyflow/tabbyflow-c8-20260420_072139/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(8844)), +]) +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/c8/tabbyflow/tabbyflow-c8-20260420_072139/tabbyflow-c8-8844-20260420_072901.csv") diff --git a/SynthData0523/main/c8/tabbyflow/tabbyflow-c8-20260420_072139/_tabbyflow_train.py b/SynthData0523/main/c8/tabbyflow/tabbyflow-c8-20260420_072139/_tabbyflow_train.py new file mode 100644 index 0000000000000000000000000000000000000000..4094f76ada74145084940038ca1bb12d0da03176 --- /dev/null +++ b/SynthData0523/main/c8/tabbyflow/tabbyflow-c8-20260420_072139/_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/c8/tabbyflow/tabbyflow-c8-20260420_072139/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/SynthData0523/main/c8/tabbyflow/tabbyflow-c8-20260420_072139/input_snapshot.json b/SynthData0523/main/c8/tabbyflow/tabbyflow-c8-20260420_072139/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..7c6201d8831604f3fc997976bcd9409f0ebd4335 --- /dev/null +++ b/SynthData0523/main/c8/tabbyflow/tabbyflow-c8-20260420_072139/input_snapshot.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:953e9dceb03574375ca7e3e96c829078107c18a8f84b27d57d5d0f40d2c9fa47 +size 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sha256:8532ec24e8ebe12d2d896c5641a14227aa14bbb45cee74865987d3f3102044c7 +size 441562 diff --git a/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/_tabddpm_sample.py b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/_tabddpm_sample.py new file mode 100644 index 0000000000000000000000000000000000000000..f2f8c91bcf6d9fb2a3321cdd4fc5abe516ecd910 --- /dev/null +++ b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/_tabddpm_sample.py @@ -0,0 +1,67 @@ +import os, sys, subprocess, json +import numpy as np +import pandas as pd + +tabddpm_root = "/workspace/tabddpm/code" +assert os.path.isdir(tabddpm_root), f"TabDDPM source not mounted: {tabddpm_root}" +env = os.environ.copy() +env["PYTHONPATH"] = tabddpm_root + (os.pathsep + env.get("PYTHONPATH", "")) + +# Reuse the compat wrapper (patches collections.Sequence for skorch) +wrapper = os.path.join(tabddpm_root, "_compat_run.py") +if not os.path.exists(wrapper): + with open(wrapper, "w") as f: + f.write( + "import collections, collections.abc\n" + "for _a in ('Sequence','MutableSequence','MutableMapping','Mapping'," + "'MutableSet','Set','Callable','Iterable','Iterator'):\n" + " if not hasattr(collections, _a): setattr(collections, _a, getattr(collections.abc, _a, None))\n" + "import sys, runpy\n" + "sys.argv = sys.argv[1:]\n" + "runpy.run_path(sys.argv[0], run_name='__main__')\n" + ) + +print(f"[TabDDPM] Sampling 8844 rows") +ret = subprocess.run( + [sys.executable, wrapper, "scripts/pipeline.py", + "--config", "/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/config_sample_20260422_212734.toml", + "--sample"], + cwd=tabddpm_root, + env=env +) +if ret.returncode != 0: + sys.exit(ret.returncode) + +# 将 .npy 输出转为 CSV +work_dir = "/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506" +info_path = os.path.join(work_dir, "data", "info.json") +with open(info_path) as f: + info = json.load(f) + +output_dir = os.path.join(work_dir, "output") +col_names = info.get("column_names", []) + +parts = [] +x_num_path = os.path.join(output_dir, "X_num_train.npy") +x_cat_path = os.path.join(output_dir, "X_cat_train.npy") +y_path = os.path.join(output_dir, "y_train.npy") + +if os.path.exists(x_num_path): + parts.append(np.load(x_num_path, allow_pickle=True)) +if os.path.exists(x_cat_path): + parts.append(np.load(x_cat_path, allow_pickle=True).astype(float)) +if os.path.exists(y_path): + y = np.load(y_path, allow_pickle=True) + parts.append(y.reshape(-1, 1) if y.ndim == 1 else y) + +if parts: + combined = np.concatenate(parts, axis=1) + if col_names and len(col_names) == combined.shape[1]: + df = pd.DataFrame(combined, columns=col_names) + else: + df = pd.DataFrame(combined) + df.to_csv("/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/tabddpm-c8-8844-20260422_212734.csv", index=False) + print(f"[TabDDPM] Saved {len(df)} rows -> /work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/tabddpm-c8-8844-20260422_212734.csv") +else: + print("[TabDDPM] WARNING: No output .npy files found") + sys.exit(1) diff --git a/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/_tabddpm_train.py b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/_tabddpm_train.py new file mode 100644 index 0000000000000000000000000000000000000000..88262eb7975da8a761922407a6203dd5a6bbcdf2 --- /dev/null +++ b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/_tabddpm_train.py @@ -0,0 +1,32 @@ +import os, sys, subprocess + +tabddpm_root = "/workspace/tabddpm/code" +assert os.path.isdir(tabddpm_root), f"TabDDPM source not mounted: {tabddpm_root}" +env = os.environ.copy() +env["PYTHONPATH"] = tabddpm_root + (os.pathsep + env.get("PYTHONPATH", "")) + +# Write a wrapper that patches collections.Sequence (removed in Python 3.10+) +# before running pipeline.py - needed because skorch uses old API +wrapper = os.path.join(tabddpm_root, "_compat_run.py") +with open(wrapper, "w") as f: + f.write( + "import collections, collections.abc\n" + "for _a in ('Sequence','MutableSequence','MutableMapping','Mapping'," + "'MutableSet','Set','Callable','Iterable','Iterator'):\n" + " if not hasattr(collections, _a): setattr(collections, _a, getattr(collections.abc, _a, None))\n" + "import sys, runpy\n" + "sys.argv = sys.argv[1:]\n" + "runpy.run_path(sys.argv[0], run_name='__main__')\n" + ) + +print(f"[TabDDPM] Training, config=/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/config.toml") +ret = subprocess.run( + [sys.executable, wrapper, "scripts/pipeline.py", + "--config", "/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/config.toml", + "--train"], + cwd=tabddpm_root, + env=env +) +if ret.returncode != 0: + sys.exit(ret.returncode) +print("[TabDDPM] Training complete") diff --git a/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/config.toml b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/config.toml new file mode 100644 index 0000000000000000000000000000000000000000..66101225440856dfbb3ff24a0e05941479677f58 --- /dev/null +++ b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/config.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/output" +real_data_path = "/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/data" +model_type = "mlp" +num_numerical_features = 29 +device = "cuda:0" + +[model_params] +d_in = 30 +num_classes = 2 +is_y_cond = true + +[model_params.rtdl_params] +d_layers = [256, 256] +dropout = 0.0 + +[diffusion_params] +num_timesteps = 1000 +gaussian_loss_type = "mse" + +[train.main] +steps = 5000 +lr = 0.001 +weight_decay = 0.0 +batch_size = 256 + +[train.T] +seed = 0 +normalization = "quantile" +num_nan_policy = "__none__" +cat_nan_policy = "__none__" +cat_min_frequency = "__none__" +cat_encoding = "__none__" +y_policy = "default" + +[sample] +num_samples = 1000 +batch_size = 1000 +seed = 0 diff --git a/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/config_sample_20260422_212734.toml b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/config_sample_20260422_212734.toml new file mode 100644 index 0000000000000000000000000000000000000000..1dc15534379fee6102729e51b5d37d6bab3027c8 --- /dev/null +++ b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/config_sample_20260422_212734.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/output" +real_data_path = "/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/data" +model_type = "mlp" +num_numerical_features = 29 +device = "cuda:0" + +[model_params] +d_in = 30 +num_classes = 2 +is_y_cond = true + +[model_params.rtdl_params] +d_layers = [256, 256] +dropout = 0.0 + +[diffusion_params] +num_timesteps = 1000 +gaussian_loss_type = "mse" + +[train.main] +steps = 5000 +lr = 0.001 +weight_decay = 0.0 +batch_size = 256 + +[train.T] +seed = 0 +normalization = "quantile" +num_nan_policy = "__none__" +cat_nan_policy = "__none__" +cat_min_frequency = "__none__" +cat_encoding = "__none__" +y_policy = "default" + +[sample] +num_samples = 8844 +batch_size = 1000 +seed = 0 diff --git a/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/data/X_cat_train.npy b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/data/X_cat_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..8a277b12126796ea2dbd676ad44ea373580c3e43 --- /dev/null +++ b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/data/X_cat_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:69c080f550f12c0813332ad1406d251d5a9cbbba6c83d4b2f87dcc0d05e52d3f +size 70880 diff --git a/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/data/X_num_train.npy b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/data/X_num_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..2e661cb976ef9b8467c9c574f362a8501ef7b947 --- /dev/null +++ b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/data/X_num_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:75dae443e666996315960652398f63cf5f6b43b5807f9203e0c699f3acccc87e +size 1026032 diff --git a/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/data/info.json b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/data/info.json new file mode 100644 index 0000000000000000000000000000000000000000..85ea9a604efb27eeb50e0ed6c61825e44f02edc9 --- /dev/null +++ b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/data/info.json @@ -0,0 +1,78 @@ +{ + "name": "benchmark_dataset", + "task_type": "multiclass", + "n_num_features": 29, + "n_cat_features": 1, + "train_size": 8844, + "num_col_idx": [ + 0, + 1, + 2, + 3, + 4, + 5, + 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b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/output/config.toml new file mode 100644 index 0000000000000000000000000000000000000000..1dc15534379fee6102729e51b5d37d6bab3027c8 --- /dev/null +++ b/SynthData0523/main/c8/tabddpm/tabddpm-c8-20260422_212506/output/config.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/output" +real_data_path = "/work/output-SpecializedModels/c8/tabddpm/tabddpm-c8-20260422_212506/data" +model_type = "mlp" +num_numerical_features = 29 +device = "cuda:0" + +[model_params] +d_in = 30 +num_classes = 2 +is_y_cond = true + +[model_params.rtdl_params] +d_layers = [256, 256] +dropout = 0.0 + +[diffusion_params] +num_timesteps = 1000 +gaussian_loss_type = "mse" + +[train.main] +steps = 5000 +lr = 0.001 +weight_decay = 0.0 +batch_size = 256 + +[train.T] +seed = 0 +normalization = "quantile" +num_nan_policy = "__none__" +cat_nan_policy = "__none__" +cat_min_frequency = "__none__" +cat_encoding = "__none__" +y_policy = "default" + +[sample] +num_samples = 8844 +batch_size = 1000 +seed = 0