|
|
| import os, shutil, subprocess, sys |
| td = r"/workspace/TabDiff" |
| name = r"pipeline_m5" |
| src = r"/work/output-Benchmark-trainonly-v1/m5/tabdiff/tabdiff-m5-20260510_071943/tabular_bundle/pipeline_m5" |
| dst_data = os.path.join(td, "data", name) |
| dst_syn = os.path.join(td, "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(td) |
| os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "") |
| os.environ["TABDIFF_SMOKE_STEPS"] = "200" |
| os.environ["TABDIFF_STEPS"] = "200" |
| os.environ["TABDIFF_BATCH_SIZE"] = "256" |
| os.environ["TABDIFF_TRAIN_BATCH_SIZE"] = "256" |
| os.environ["TABDIFF_LR"] = "0.0005" |
| os.environ["TABDIFF_LEARNING_RATE"] = "0.0005" |
| os.environ["TABDIFF_NUM_TIMESTEPS"] = "50" |
| os.environ["TABDIFF_TIMESTEPS"] = "50" |
| os.environ["TABDIFF_ADAPTER_TRAIN"] = "1" |
| subprocess.check_call([ |
| sys.executable, "-m", "tabdiff.main", |
| "--dataname", name, "--mode", "train", "--gpu", "0", |
| "--no_wandb", "--exp_name", r"adapter_learnable", |
| ]) |
|
|
