fix environment seeding
add fixes for reproducibility only try to start env if it is closed revision fix normalization and data type Improve README Improve README Tests are passing, Eval pretrained model works, Add gif Update gif Update gif Update gif Update gif Update README Update README update minor Update README.md Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com> Update README.md Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com> Address suggestions Update thumbnail + stats Update thumbnail + stats Update README.md Co-authored-by: Alexander Soare <alexander.soare159@gmail.com> Add more comments Add test_examples.py
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@@ -9,11 +9,11 @@ import torch
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import torchrl
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import tqdm
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from tensordict import TensorDict
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from torchrl.data.replay_buffers.samplers import SliceSampler
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from torchrl.data.replay_buffers.samplers import Sampler
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from torchrl.data.replay_buffers.storages import TensorStorage
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from torchrl.data.replay_buffers.writers import Writer
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from lerobot.common.datasets.abstract import AbstractExperienceReplay
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from lerobot.common.datasets.abstract import AbstractDataset
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DATASET_IDS = [
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"aloha_sim_insertion_human",
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@@ -80,24 +80,24 @@ def download(data_dir, dataset_id):
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gdown.download(EP49_URLS[dataset_id], output=str(data_dir / "episode_49.hdf5"), fuzzy=True)
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class AlohaExperienceReplay(AbstractExperienceReplay):
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class AlohaDataset(AbstractDataset):
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available_datasets = DATASET_IDS
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def __init__(
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self,
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dataset_id: str,
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version: str | None = "v1.2",
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batch_size: int = None,
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batch_size: int | None = None,
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*,
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shuffle: bool = True,
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root: Path | None = None,
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pin_memory: bool = False,
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prefetch: int = None,
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sampler: SliceSampler = None,
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collate_fn: Callable = None,
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writer: Writer = None,
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sampler: Sampler | None = None,
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collate_fn: Callable | None = None,
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writer: Writer | None = None,
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transform: "torchrl.envs.Transform" = None,
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):
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assert dataset_id in DATASET_IDS
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super().__init__(
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dataset_id,
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version,
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