|
|
| import os, shutil, subprocess, sys |
| root = r"/workspace/ef-vfm" |
| name = r"pipeline_c2" |
| src = r"/work/output-Benchmark-trainonly-v1/c2/tabbyflow/tabbyflow-c2-20260504_235339/tabular_bundle/pipeline_c2" |
| 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"] = "100" |
| os.environ["EFVFM_ADAPTER_TRAIN"] = "1" |
| os.environ.setdefault("EFVFM_SAMPLE_BATCH_SIZE", "128") |
| os.environ.setdefault("EFVFM_EVAL_NUM_SAMPLES", "512") |
| subprocess.check_call([ |
| sys.executable, "main.py", |
| "--dataname", name, "--mode", "train", "--gpu", "0", |
| "--no_wandb", "--exp_name", r"adapter_efvfm", |
| ]) |
|
|
