Download code/probe_chain.py from slava-research/slava-rollouts: direct link, hf CLI and curl.
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https://huggingface.co/datasets/slava-research/slava-rollouts/resolve/main/code/probe_chain.py
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hf download hf://datasets/slava-research/slava-rollouts/code/probe_chain.py
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curl -L -o probe_chain.py https://huggingface.co/datasets/slava-research/slava-rollouts/resolve/main/code/probe_chain.py
2.36 kB
| """Что реально лежит в цепочках преобразований GreenVLA и есть ли нормировка.""" | |
| import os, sys, json | |
| os.environ.setdefault("MUJOCO_GL", "egl") | |
| from lerobot.common.policies.factory import load_pretrained_policy, _resolve_norm_stats_dir | |
| CKPT = sys.argv[1] if len(sys.argv) > 1 else "SberRoboticsCenter/GreenVLA-5b-stride-1-R1-bridge" | |
| print("HF_HOME=%s" % os.environ.get("HF_HOME")) | |
| try: | |
| p = _resolve_norm_stats_dir(CKPT, "bridge") | |
| print("assets_dir: %s" % p) | |
| import pathlib | |
| pp = pathlib.Path(p) | |
| print("существует: %s" % pp.exists()) | |
| if pp.exists(): | |
| for f in pp.rglob("*"): | |
| print(" ", f) | |
| except Exception as e: | |
| print("ОШИБКА _resolve_norm_stats_dir: %r" % (e,)) | |
| policy, itf, otf = load_pretrained_policy(CKPT, data_config_name="bridge") | |
| def names(chain): | |
| fns = getattr(chain, "fns", None) or getattr(chain, "transforms", None) or [] | |
| return [type(f).__name__ for f in fns] | |
| print("") | |
| print("ВХОДНАЯ цепочка: %s" % names(itf)) | |
| print("ВЫХОДНАЯ цепочка: %s" % names(otf)) | |
| for tag, chain in (("вход", itf), ("выход", otf)): | |
| fns = getattr(chain, "fns", None) or getattr(chain, "transforms", None) or [] | |
| for f in fns: | |
| if "ormalize" in type(f).__name__: | |
| ns = getattr(f, "norm_stats", None) | |
| mode = getattr(f, "normalization_mode", None) | |
| print("") | |
| print("%s: %s режим=%s" % (tag, type(f).__name__, mode)) | |
| if isinstance(ns, dict): | |
| for k, v in ns.items(): | |
| fields = sorted(vars(v).keys()) if hasattr(v, "__dict__") else list(v) | |
| print(" ключ %r поля %s" % (k, fields)) | |
| for fld in ("mean", "std", "q01", "q99"): | |
| val = getattr(v, fld, None) | |
| if val is not None: | |
| try: | |
| import numpy as np | |
| arr = np.asarray(val, float).ravel() | |
| print(" %-5s n=%d %s" % (fld, arr.size, | |
| " ".join("%.3f" % x for x in arr[:9]))) | |
| except Exception as e: | |
| print(" %s -> %r" % (fld, e)) | |