| import os, sys, subprocess |
|
|
| work_dir = "/work/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_045714" |
| dataname = "tabsyn_c2" |
| tabsyn_root = "/workspace/tabsyn" |
|
|
| assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}" |
|
|
| old = os.environ.get("PYTHONPATH", "") |
| os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "") |
| sys.path.insert(0, tabsyn_root) |
|
|
| os.chdir(tabsyn_root) |
|
|
| |
| data_link = os.path.join(tabsyn_root, "data", dataname) |
| data_src = os.path.join(work_dir, "data", dataname) |
| os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True) |
| if os.path.exists(data_link): |
| os.remove(data_link) |
| os.symlink(data_src, data_link) |
|
|
| env = os.environ.copy() |
| env.setdefault("TABSYN_RESUME", "0") |
| env.setdefault("TABSYN_VAE_BATCH_SIZE", "32") |
| env.setdefault("TABSYN_VAE_NUM_WORKERS", "0") |
| env.setdefault("TABSYN_VAE_EVAL_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"]) |
| env.setdefault("TABSYN_VAE_INFER_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"]) |
| env.setdefault("TABSYN_VAE_ENCODE_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"]) |
| |
| env.setdefault("TABSYN_DIFFUSION_NUM_WORKERS", "0") |
| _te = None |
| if _te is not None: |
| env["TABSYN_VAE_EPOCHS"] = str(_te) |
| env["TABSYN_DIFFUSION_MAX_EPOCHS"] = str(max(_te + 1, 2)) |
|
|
| |
| |
|
|
| |
| print(f"[TabSyn] Step 1/2: Training VAE in {tabsyn_root}, dataname={dataname}") |
| ret = subprocess.run( |
| [sys.executable, "main.py", |
| "--dataname", dataname, |
| "--mode", "train", |
| "--method", "vae", |
| "--gpu", "0"], |
| cwd=tabsyn_root, |
| env=env |
| ) |
| if ret.returncode != 0: |
| print("[TabSyn] VAE training failed") |
| sys.exit(ret.returncode) |
|
|
| |
| print(f"[TabSyn] Step 2/2: Training diffusion model") |
| ret = subprocess.run( |
| [sys.executable, "main.py", |
| "--dataname", dataname, |
| "--mode", "train", |
| "--method", "tabsyn", |
| "--gpu", "0"], |
| cwd=tabsyn_root, |
| env=env |
| ) |
| if ret.returncode != 0: |
| print("[TabSyn] Diffusion training failed") |
| sys.exit(ret.returncode) |
| print("[TabSyn] Training complete (VAE + Diffusion)") |
|
|
