from spirl.utils.general_utils import AttrDict
from spirl.components.data_loader import GlobalSplitVideoDataset


data_spec = AttrDict(
    dataset_class=GlobalSplitVideoDataset,
    n_actions=8,
    state_dim=97,
    split=AttrDict(train=0.9, val=0.1, test=0.0),
    env_name="Widow250OfficeFixed-v0",
    res=64,
    crop_rand_subseq=True,
)

data_spec.max_seq_len = 350

4518701ab631669bffc2b67e9aeffcb967f8899c
<mask token>

<mask token>
data_spec = AttrDict(dataset_class=GlobalSplitVideoDataset, n_actions=8,
    state_dim=97, split=AttrDict(train=0.9, val=0.1, test=0.0), env_name=
    'Widow250OfficeFixed-v0', res=64, crop_rand_subseq=True)
data_spec.max_seq_len = 350

from spirl.utils.general_utils import AttrDict
from spirl.components.data_loader import GlobalSplitVideoDataset
data_spec = AttrDict(dataset_class=GlobalSplitVideoDataset, n_actions=8,
    state_dim=97, split=AttrDict(train=0.9, val=0.1, test=0.0), env_name=
    'Widow250OfficeFixed-v0', res=64, crop_rand_subseq=True)
data_spec.max_seq_len = 350

from spirl.utils.general_utils import AttrDict
from spirl.components.data_loader import GlobalSplitVideoDataset


data_spec = AttrDict(
    dataset_class=GlobalSplitVideoDataset,
    n_actions=8,
    state_dim=97,
    split=AttrDict(train=0.9, val=0.1, test=0.0),
    env_name="Widow250OfficeFixed-v0",
    res=64,
    crop_rand_subseq=True,
)

data_spec.max_seq_len = 350
