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imports pathlibPython module-level function call

SHA-256e112a860c641b5822d6aaa37e3bd934186abceb7016f425c957a98f2d4adda71

URLhttps://huggingface.co/lithyeon/franka-pnp-50hz-checkpoints

Evidence

imports pathlib lines 1–38

1"""See _CONFIGS for the list of available configs."""
2
3import abc
4from collections.abc import Sequence
5import dataclasses
6import difflib
7import logging
8import pathlib
9from typing import Any, Literal, Protocol, TypeAlias
10
11import etils.epath as epath
12import flax.nnx as nnx
13from typing_extensions import override
14import tyro
15
16import openpi.models.model as _model
17import openpi.models.pi0_config as pi0_config
18import openpi.models.pi0_fast as pi0_fast
19import openpi.models.tokenizer as _tokenizer
20import openpi.policies.aloha_policy as aloha_policy
21import openpi.policies.droid_policy as droid_policy
22import openpi.policies.franka_pnp_policy as franka_pnp_policy
23import openpi.policies.libero_policy as libero_policy
24import openpi.shared.download as _download
25import openpi.shared.normalize as _normalize
26import openpi.training.droid_rlds_dataset as droid_rlds_dataset
27import openpi.training.misc.polaris_config as polaris_config
28import openpi.training.misc.roboarena_config as roboarena_config
29import openpi.training.optimizer as _optimizer
30import openpi.training.weight_loaders as weight_loaders
31import openpi.transforms as _transforms
32
33ModelType: TypeAlias = _model.ModelType
34# Work around a tyro issue with using nnx.filterlib.Filter directly.
35Filter: TypeAlias = nnx.filterlib.Filter
36
37
38@dataclasses.da …

English function-word token "that" lines 40–42

40:13… mines the location of assets (e.g., norm stats) that will be used to set up the data pipeline.
41
42    These assets will be replicated inside the check …

English function-word token "this" lines 42–44

42:55… int under the `assets/asset_id` directory.
43
44    This can be used to load assets from a different checkpoint (e.g., base model checkpoint) or some ot …

Python module-level function call lines 1266–1275

1266:2…  checkpoint assets intact so prior results remain reproducible.
1267_CONFIGS.append(
1268    dataclasses.replace(
1269        next(config for config in _CONFIGS if config.name == "pi05_franka_pnp_overfit1_full"),
⋯6 lines

Python not-in membership check lines 1348–1352

22… _name: str) -> TrainConfig:
  """Get a config by name."""
  if config_name not in _CONFIGS_DICT:
      closest = difflib.get_close_matches(config_name, _CONFIGS_DICT.keys(), n=1, cutoff=0.0)
      closest_str = f" Did yo …