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"/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c4/realtabformer/rtf-c4-20260328_055837/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/train_20260328_055837.log b/SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/train_20260328_055837.log new file mode 100644 index 0000000000000000000000000000000000000000..14915b466ddde79c316b852f0e5d84e1d29fedb7 --- /dev/null +++ b/SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/train_20260328_055837.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3c39f248377c816580f65e7348ee51a3c133d257103650078bb32c7311504364 +size 580648 diff --git a/SynthData0523/main/c4/tabbyflow/tabbyflow-c4-20260420_054557/_tabbyflow_gen.py b/SynthData0523/main/c4/tabbyflow/tabbyflow-c4-20260420_054557/_tabbyflow_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..ed42ae57309dd145cd095c310db8a94efb551cb0 --- /dev/null +++ b/SynthData0523/main/c4/tabbyflow/tabbyflow-c4-20260420_054557/_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/c4/tabbyflow/tabbyflow-c4-20260420_054557/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(2557)), +]) +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/c4/tabbyflow/tabbyflow-c4-20260420_054557/tabbyflow-c4-2557-20260420_055317.csv") diff --git a/SynthData0523/main/c4/tabbyflow/tabbyflow-c4-20260420_054557/_tabbyflow_train.py b/SynthData0523/main/c4/tabbyflow/tabbyflow-c4-20260420_054557/_tabbyflow_train.py new file mode 100644 index 0000000000000000000000000000000000000000..cae6f749d159e2fdf1bb39b7bdbdebc456cb19fb --- /dev/null +++ b/SynthData0523/main/c4/tabbyflow/tabbyflow-c4-20260420_054557/_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/c4/tabbyflow/tabbyflow-c4-20260420_054557/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 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b/SynthData0523/main/c4/tabbyflow/tabbyflow-c4-20260420_054557/train_20260420_054557.log new file mode 100644 index 0000000000000000000000000000000000000000..bb467323f438f98195a1c3979ade1f9b89a7601f --- /dev/null +++ b/SynthData0523/main/c4/tabbyflow/tabbyflow-c4-20260420_054557/train_20260420_054557.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:327223428eb54d6bfe26639873d0175f569eec9292965dcf12948d93891b4e09 +size 286494 diff --git a/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/_tabddpm_sample.py b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/_tabddpm_sample.py new file mode 100644 index 0000000000000000000000000000000000000000..5990eaced8fd325c52f5714e800591ddb2fe3254 --- /dev/null +++ b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/_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 2557 rows") +ret = subprocess.run( + [sys.executable, wrapper, "scripts/pipeline.py", + "--config", "/work/output-SpecializedModels/c4/tabddpm/tabddpm-c4-20260422_210001/config_sample_20260422_210909.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/c4/tabddpm/tabddpm-c4-20260422_210001" +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/c4/tabddpm/tabddpm-c4-20260422_210001/tabddpm-c4-2557-20260422_210909.csv", index=False) + print(f"[TabDDPM] Saved {len(df)} rows -> /work/output-SpecializedModels/c4/tabddpm/tabddpm-c4-20260422_210001/tabddpm-c4-2557-20260422_210909.csv") +else: + print("[TabDDPM] WARNING: No output .npy files found") + sys.exit(1) diff --git a/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/_tabddpm_train.py b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/_tabddpm_train.py new file mode 100644 index 0000000000000000000000000000000000000000..63183fd6c8ca883968c196cad0c700906903faf4 --- /dev/null +++ b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/_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/c4/tabddpm/tabddpm-c4-20260422_210001/config.toml") +ret = subprocess.run( + [sys.executable, wrapper, "scripts/pipeline.py", + "--config", "/work/output-SpecializedModels/c4/tabddpm/tabddpm-c4-20260422_210001/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/c4/tabddpm/tabddpm-c4-20260422_210001/config.toml b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/config.toml new file mode 100644 index 0000000000000000000000000000000000000000..1df7888423833bdb3098ed342e82c515b1796c3b --- /dev/null +++ b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/config.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/c4/tabddpm/tabddpm-c4-20260422_210001/output" +real_data_path = "/work/output-SpecializedModels/c4/tabddpm/tabddpm-c4-20260422_210001/data" +model_type = "mlp" +num_numerical_features = 0 +device = "cuda:0" + +[model_params] +d_in = 36 +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/c4/tabddpm/tabddpm-c4-20260422_210001/config_sample_20260422_210909.toml b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/config_sample_20260422_210909.toml new file mode 100644 index 0000000000000000000000000000000000000000..35c11574ebe20530ce81b4a7d56b7d8482c81117 --- /dev/null +++ b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/config_sample_20260422_210909.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/c4/tabddpm/tabddpm-c4-20260422_210001/output" +real_data_path = "/work/output-SpecializedModels/c4/tabddpm/tabddpm-c4-20260422_210001/data" +model_type = "mlp" +num_numerical_features = 0 +device = "cuda:0" + +[model_params] +d_in = 36 +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 = 2557 +batch_size = 1000 +seed = 0 diff --git a/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/data/X_cat_train.npy b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/data/X_cat_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..92c7d8da7c55548626bb172c9c09f08e1178bbb1 --- /dev/null +++ b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/data/X_cat_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:592486005c4dcbd60d1ddb140a77d9bd65423fcc4f97a9d984d905c04f69b758 +size 736544 diff --git a/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/data/info.json b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/data/info.json new file mode 100644 index 0000000000000000000000000000000000000000..9c763de00956d58391fb151a34edddd2fb0bd9f5 --- /dev/null +++ b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/data/info.json @@ -0,0 +1,89 @@ +{ + "name": "benchmark_dataset", + "task_type": "multiclass", + "n_num_features": 0, + "n_cat_features": 36, + "train_size": 2557, + "num_col_idx": [], + "cat_col_idx": [ + 0, + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35 + ], + "target_col_idx": [ + 36 + ], + "column_names": [ + "bkblk", + "bknwy", + "bkon8", + "bkona", + "bkspr", + "bkxbq", + "bkxcr", + "bkxwp", + "blxwp", + "bxqsq", + "cntxt", + "dsopp", + "dwipd", + "hdchk", + "katri", + "mulch", + "qxmsq", + "r2ar8", + "reskd", + "reskr", + "rimmx", + "rkxwp", + "rxmsq", + "simpl", + "skach", + "skewr", + "skrxp", + "spcop", + "stlmt", + "thrsk", + "wkcti", + "wkna8", + "wknck", + "wkovl", + "wkpos", + "wtoeg", + "class" + ], + "num_classes": 2 +} \ No newline at end of file diff --git a/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/data/y_train.npy b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/data/y_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..13d27465db969f97ec6d56c64a865c27cee6f06d --- /dev/null +++ b/SynthData0523/main/c4/tabddpm/tabddpm-c4-20260422_210001/data/y_train.npy @@ -0,0 +1,3 @@ +version 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"/work/output-SpecializedModels/c4/tabddpm/tabddpm-c4-20260422_210001/output" +real_data_path = "/work/output-SpecializedModels/c4/tabddpm/tabddpm-c4-20260422_210001/data" +model_type = "mlp" +num_numerical_features = 0 +device = "cuda:0" + +[model_params] +d_in = 36 +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 = 2557 +batch_size = 1000 +seed = 0