|
|
| import os, shutil, subprocess, sys |
| td = r"/workspace/TabDiff" |
| name = r"pipeline_c19" |
| src = r"/work/output-Benchmark-trainonly-v1/c19/tabdiff/tabdiff-c19-20260512_231303/tabular_bundle/pipeline_c19" |
| rt = r"/work/output-Benchmark-trainonly-v1/c19/tabdiff/tabdiff-c19-20260512_231303/_tabdiff_runtime" |
| if not os.path.exists(rt): |
| def _ignore(_, names): |
| skip = {"__pycache__", "data", "synthetic", "result", "results", "ckpt"} |
| return [n for n in names if n in skip or n.endswith(".pyc")] |
| shutil.copytree(td, rt, ignore=_ignore) |
| dst_data = os.path.join(rt, "data", name) |
| dst_syn = os.path.join(rt, "synthetic", name) |
| shutil.rmtree(dst_data, ignore_errors=True) |
| os.makedirs(os.path.dirname(dst_data), exist_ok=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(rt) |
| os.environ["PYTHONPATH"] = rt + os.pathsep + os.environ.get("PYTHONPATH", "") |
| subprocess.check_call([ |
| sys.executable, "-m", "tabdiff.main", |
| "--dataname", name, "--mode", "test", "--gpu", "0", |
| "--no_wandb", "--exp_name", r"adapter_learnable", |
| "--ckpt_path", r"/work/output-Benchmark-trainonly-v1/c19/tabdiff/tabdiff-c19-20260512_231303/_tabdiff_runtime/tabdiff/ckpt/pipeline_c19/adapter_learnable/model_200.pt", |
| "--num_samples_to_generate", str(int(32759)), |
| ]) |
| |
| base = os.path.join(rt, "tabdiff", "result", name, r"adapter_learnable") |
| best = None |
| best_t = -1.0 |
| for root, _, files in os.walk(base): |
| if "samples.csv" in files: |
| p = os.path.join(root, "samples.csv") |
| t = os.path.getmtime(p) |
| if t > best_t: |
| best_t = t |
| best = p |
| if not best: |
| raise SystemExit("tabdiff: no samples.csv under " + base) |
| shutil.copy(best, r"/work/output-Benchmark-trainonly-v1/c19/tabdiff/tabdiff-c19-20260512_231303/tabdiff-c19-32759-20260512_235639.csv") |
|
|
