Merge remote-tracking branch 'upstream/main' into policy_compatibility

This commit is contained in:
Alexander Soare 2024-05-16 11:38:42 +01:00
commit 380c31390e
52 changed files with 932 additions and 160 deletions

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@ -57,6 +57,38 @@ jobs:
&& rm -rf tests/outputs outputs && rm -rf tests/outputs outputs
pytest-minimal:
name: Pytest (minimal install)
runs-on: ubuntu-latest
env:
DATA_DIR: tests/data
MUJOCO_GL: egl
steps:
- uses: actions/checkout@v4
- name: Install poetry
run: |
pipx install poetry && poetry config virtualenvs.in-project true
echo "${{ github.workspace }}/.venv/bin" >> $GITHUB_PATH
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.10"
- name: Install poetry dependencies
run: |
poetry install --extras "test"
- name: Test with pytest
run: |
pytest tests -v --cov=./lerobot --durations=0 \
-W ignore::DeprecationWarning:imageio_ffmpeg._utils:7 \
-W ignore::UserWarning:torch.utils.data.dataloader:558 \
-W ignore::UserWarning:gymnasium.utils.env_checker:247 \
&& rm -rf tests/outputs outputs
end-to-end: end-to-end:
name: End-to-end name: End-to-end
runs-on: ubuntu-latest runs-on: ubuntu-latest

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@ -57,7 +57,6 @@
- Thanks to Tony Zaho, Zipeng Fu and colleagues for open sourcing ACT policy, ALOHA environments and datasets. Ours are adapted from [ALOHA](https://tonyzhaozh.github.io/aloha) and [Mobile ALOHA](https://mobile-aloha.github.io). - Thanks to Tony Zaho, Zipeng Fu and colleagues for open sourcing ACT policy, ALOHA environments and datasets. Ours are adapted from [ALOHA](https://tonyzhaozh.github.io/aloha) and [Mobile ALOHA](https://mobile-aloha.github.io).
- Thanks to Cheng Chi, Zhenjia Xu and colleagues for open sourcing Diffusion policy, Pusht environment and datasets, as well as UMI datasets. Ours are adapted from [Diffusion Policy](https://diffusion-policy.cs.columbia.edu) and [UMI Gripper](https://umi-gripper.github.io). - Thanks to Cheng Chi, Zhenjia Xu and colleagues for open sourcing Diffusion policy, Pusht environment and datasets, as well as UMI datasets. Ours are adapted from [Diffusion Policy](https://diffusion-policy.cs.columbia.edu) and [UMI Gripper](https://umi-gripper.github.io).
- Thanks to Nicklas Hansen, Yunhai Feng and colleagues for open sourcing TDMPC policy, Simxarm environments and datasets. Ours are adapted from [TDMPC](https://github.com/nicklashansen/tdmpc) and [FOWM](https://www.yunhaifeng.com/FOWM). - Thanks to Nicklas Hansen, Yunhai Feng and colleagues for open sourcing TDMPC policy, Simxarm environments and datasets. Ours are adapted from [TDMPC](https://github.com/nicklashansen/tdmpc) and [FOWM](https://www.yunhaifeng.com/FOWM).
- Thanks to Vincent Moens and colleagues for open sourcing [TorchRL](https://github.com/pytorch/rl). It allowed for quick experimentations on the design of `LeRobot`.
- Thanks to Antonio Loquercio and Ashish Kumar for their early support. - Thanks to Antonio Loquercio and Ashish Kumar for their early support.

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" """
This file contains lists of available environments, dataset and policies to reflect the current state of LeRobot library. This file contains lists of available environments, dataset and policies to reflect the current state of LeRobot library.
We do not want to import all the dependencies, but instead we keep it lightweight to ensure fast access to these variables. We do not want to import all the dependencies, but instead we keep it lightweight to ensure fast access to these variables.

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""To enable `lerobot.__version__`""" """To enable `lerobot.__version__`"""
from importlib.metadata import PackageNotFoundError, version from importlib.metadata import PackageNotFoundError, version

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json import json
import random import random
import shutil import shutil

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging import logging
import torch import torch

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os import os
from pathlib import Path from pathlib import Path

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Helper code for loading PushT dataset from Diffusion Policy (https://diffusion-policy.cs.columbia.edu/) """Helper code for loading PushT dataset from Diffusion Policy (https://diffusion-policy.cs.columbia.edu/)
Copied from the original Diffusion Policy repository and used in our `download_and_upload_dataset.py` script. Copied from the original Diffusion Policy repository and used in our `download_and_upload_dataset.py` script.

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" """
This file contains all obsolete download scripts. They are centralized here to not have to load This file contains all obsolete download scripts. They are centralized here to not have to load
useless dependencies when using datasets. useless dependencies when using datasets.

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# imagecodecs/numcodecs.py # imagecodecs/numcodecs.py
# Copyright (c) 2021-2022, Christoph Gohlke # Copyright (c) 2021-2022, Christoph Gohlke

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" """
Contains utilities to process raw data format of HDF5 files like in: https://github.com/tonyzhaozh/act Contains utilities to process raw data format of HDF5 files like in: https://github.com/tonyzhaozh/act
""" """

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from copy import deepcopy from copy import deepcopy
from math import ceil from math import ceil

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Process zarr files formatted like in: https://github.com/real-stanford/diffusion_policy""" """Process zarr files formatted like in: https://github.com/real-stanford/diffusion_policy"""
import shutil import shutil

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Process UMI (Universal Manipulation Interface) data stored in Zarr format like in: https://github.com/real-stanford/universal_manipulation_interface""" """Process UMI (Universal Manipulation Interface) data stored in Zarr format like in: https://github.com/real-stanford/universal_manipulation_interface"""
import logging import logging

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from concurrent.futures import ThreadPoolExecutor from concurrent.futures import ThreadPoolExecutor
from pathlib import Path from pathlib import Path

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Process pickle files formatted like in: https://github.com/fyhMer/fowm""" """Process pickle files formatted like in: https://github.com/fyhMer/fowm"""
import pickle import pickle

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json import json
from pathlib import Path from pathlib import Path

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging import logging
import subprocess import subprocess
import warnings import warnings

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import importlib import importlib
import gymnasium as gym import gymnasium as gym

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import einops import einops
import numpy as np import numpy as np
import torch import torch

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# TODO(rcadene, alexander-soare): clean this file # TODO(rcadene, alexander-soare): clean this file
"""Borrowed from https://github.com/fyhMer/fowm/blob/main/src/logger.py""" """Borrowed from https://github.com/fyhMer/fowm/blob/main/src/logger.py"""
@ -82,9 +97,9 @@ class Logger:
# Also save the full Hydra config for the env configuration. # Also save the full Hydra config for the env configuration.
OmegaConf.save(self._cfg, save_dir / "config.yaml") OmegaConf.save(self._cfg, save_dir / "config.yaml")
if self._wandb and not self._disable_wandb_artifact: if self._wandb and not self._disable_wandb_artifact:
# note wandb artifact does not accept ":" in its name # note wandb artifact does not accept ":" or "/" in its name
artifact = self._wandb.Artifact( artifact = self._wandb.Artifact(
self._group.replace(":", "_") + "-" + str(self._seed) + "-" + str(identifier), f"{self._group.replace(':', '_').replace('/', '_')}-{self._seed}-{identifier}",
type="model", type="model",
) )
artifact.add_file(save_dir / SAFETENSORS_SINGLE_FILE) artifact.add_file(save_dir / SAFETENSORS_SINGLE_FILE)
@ -94,9 +109,10 @@ class Logger:
self._buffer_dir.mkdir(parents=True, exist_ok=True) self._buffer_dir.mkdir(parents=True, exist_ok=True)
fp = self._buffer_dir / f"{str(identifier)}.pkl" fp = self._buffer_dir / f"{str(identifier)}.pkl"
buffer.save(fp) buffer.save(fp)
if self._wandb: if self._wandb and not self._disable_wandb_artifact:
# note wandb artifact does not accept ":" or "/" in its name
artifact = self._wandb.Artifact( artifact = self._wandb.Artifact(
self._group + "-" + str(self._seed) + "-" + str(identifier), f"{self._group.replace(':', '_').replace('/', '_')}-{self._seed}-{identifier}",
type="buffer", type="buffer",
) )
artifact.add_file(fp) artifact.add_file(fp)
@ -114,6 +130,11 @@ class Logger:
assert mode in {"train", "eval"} assert mode in {"train", "eval"}
if self._wandb is not None: if self._wandb is not None:
for k, v in d.items(): for k, v in d.items():
if not isinstance(v, (int, float, str)):
logging.warning(
f'WandB logging of key "{k}" was ignored as its type is not handled by this wrapper.'
)
continue
self._wandb.log({f"{mode}/{k}": v}, step=step) self._wandb.log({f"{mode}/{k}": v}, step=step)
def log_video(self, video_path: str, step: int, mode: str = "train"): def log_video(self, video_path: str, step: int, mode: str = "train"):

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 Tony Z. Zhao and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from dataclasses import dataclass, field from dataclasses import dataclass, field

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 Tony Z. Zhao and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Action Chunking Transformer Policy """Action Chunking Transformer Policy
As per Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware (https://arxiv.org/abs/2304.13705). As per Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware (https://arxiv.org/abs/2304.13705).
@ -104,7 +119,7 @@ class ACTPolicy(nn.Module, PyTorchModelHubMixin):
F.l1_loss(batch["action"], actions_hat, reduction="none") * ~batch["action_is_pad"].unsqueeze(-1) F.l1_loss(batch["action"], actions_hat, reduction="none") * ~batch["action_is_pad"].unsqueeze(-1)
).mean() ).mean()
loss_dict = {"l1_loss": l1_loss} loss_dict = {"l1_loss": l1_loss.item()}
if self.config.use_vae: if self.config.use_vae:
# Calculate Dₖₗ(latent_pdf || standard_normal). Note: After computing the KL-divergence for # Calculate Dₖₗ(latent_pdf || standard_normal). Note: After computing the KL-divergence for
# each dimension independently, we sum over the latent dimension to get the total # each dimension independently, we sum over the latent dimension to get the total
@ -113,7 +128,7 @@ class ACTPolicy(nn.Module, PyTorchModelHubMixin):
mean_kld = ( mean_kld = (
(-0.5 * (1 + log_sigma_x2_hat - mu_hat.pow(2) - (log_sigma_x2_hat).exp())).sum(-1).mean() (-0.5 * (1 + log_sigma_x2_hat - mu_hat.pow(2) - (log_sigma_x2_hat).exp())).sum(-1).mean()
) )
loss_dict["kld_loss"] = mean_kld loss_dict["kld_loss"] = mean_kld.item()
loss_dict["loss"] = l1_loss + mean_kld * self.config.kl_weight loss_dict["loss"] = l1_loss + mean_kld * self.config.kl_weight
else: else:
loss_dict["loss"] = l1_loss loss_dict["loss"] = l1_loss

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@ -1,3 +1,19 @@
#!/usr/bin/env python
# Copyright 2024 Columbia Artificial Intelligence, Robotics Lab,
# and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from dataclasses import dataclass, field from dataclasses import dataclass, field

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@ -1,3 +1,19 @@
#!/usr/bin/env python
# Copyright 2024 Columbia Artificial Intelligence, Robotics Lab,
# and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Diffusion Policy as per "Diffusion Policy: Visuomotor Policy Learning via Action Diffusion" """Diffusion Policy as per "Diffusion Policy: Visuomotor Policy Learning via Action Diffusion"
TODO(alexander-soare): TODO(alexander-soare):

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import inspect import inspect
import logging import logging

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch import torch
from torch import Tensor, nn from torch import Tensor, nn

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""A protocol that all policies should follow. """A protocol that all policies should follow.
This provides a mechanism for type-hinting and isinstance checks without requiring the policies classes This provides a mechanism for type-hinting and isinstance checks without requiring the policies classes
@ -38,7 +53,8 @@ class Policy(Protocol):
def forward(self, batch: dict[str, Tensor]) -> dict: def forward(self, batch: dict[str, Tensor]) -> dict:
"""Run the batch through the model and compute the loss for training or validation. """Run the batch through the model and compute the loss for training or validation.
Returns a dictionary with "loss" and maybe other information. Returns a dictionary with "loss" and potentially other information. Apart from "loss" which is a Tensor, all
other items should be logging-friendly, native Python types.
""" """
def select_action(self, batch: dict[str, Tensor]): def select_action(self, batch: dict[str, Tensor]):

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@ -1,3 +1,19 @@
#!/usr/bin/env python
# Copyright 2024 Nicklas Hansen, Xiaolong Wang, Hao Su,
# and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from dataclasses import dataclass, field from dataclasses import dataclass, field

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@ -1,3 +1,19 @@
#!/usr/bin/env python
# Copyright 2024 Nicklas Hansen, Xiaolong Wang, Hao Su,
# and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Implementation of Finetuning Offline World Models in the Real World. """Implementation of Finetuning Offline World Models in the Real World.
The comments in this code may sometimes refer to these references: The comments in this code may sometimes refer to these references:

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch import torch
from torch import nn from torch import nn

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import importlib import importlib
import logging import logging

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import warnings import warnings
import imageio import imageio

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging import logging
import os.path as osp import os.path as osp
import random import random

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import platform import platform
import huggingface_hub import huggingface_hub

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Evaluate a policy on an environment by running rollouts and computing metrics. """Evaluate a policy on an environment by running rollouts and computing metrics.
Usage examples: Usage examples:

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" """
Use this script to convert your dataset into LeRobot dataset format and upload it to the Hugging Face hub, Use this script to convert your dataset into LeRobot dataset format and upload it to the Hugging Face hub,
or store it locally. LeRobot dataset format is lightweight, fast to load from, and does not require any or store it locally. LeRobot dataset format is lightweight, fast to load from, and does not require any

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging import logging
import time import time
from copy import deepcopy from copy import deepcopy
@ -73,6 +88,7 @@ def make_optimizer_and_scheduler(cfg, policy):
def update_policy(policy, batch, optimizer, grad_clip_norm, lr_scheduler=None): def update_policy(policy, batch, optimizer, grad_clip_norm, lr_scheduler=None):
"""Returns a dictionary of items for logging."""
start_time = time.time() start_time = time.time()
policy.train() policy.train()
output_dict = policy.forward(batch) output_dict = policy.forward(batch)
@ -100,6 +116,7 @@ def update_policy(policy, batch, optimizer, grad_clip_norm, lr_scheduler=None):
"grad_norm": float(grad_norm), "grad_norm": float(grad_norm),
"lr": optimizer.param_groups[0]["lr"], "lr": optimizer.param_groups[0]["lr"],
"update_s": time.time() - start_time, "update_s": time.time() - start_time,
**{k: v for k, v in output_dict.items() if k != "loss"},
} }
return info return info
@ -123,7 +140,7 @@ def train_notebook(out_dir=None, job_name=None, config_name="default", config_pa
train(cfg, out_dir=out_dir, job_name=job_name) train(cfg, out_dir=out_dir, job_name=job_name)
def log_train_info(logger, info, step, cfg, dataset, is_offline): def log_train_info(logger: Logger, info, step, cfg, dataset, is_offline):
loss = info["loss"] loss = info["loss"]
grad_norm = info["grad_norm"] grad_norm = info["grad_norm"]
lr = info["lr"] lr = info["lr"]

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@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" Visualize data of **all** frames of any episode of a dataset of type LeRobotDataset. """ Visualize data of **all** frames of any episode of a dataset of type LeRobotDataset.
Note: The last frame of the episode doesnt always correspond to a final state. Note: The last frame of the episode doesnt always correspond to a final state.
@ -47,6 +62,7 @@ local$ rerun ws://localhost:9087
""" """
import argparse import argparse
import gc
import logging import logging
import time import time
from pathlib import Path from pathlib import Path
@ -115,15 +131,17 @@ def visualize_dataset(
spawn_local_viewer = mode == "local" and not save spawn_local_viewer = mode == "local" and not save
rr.init(f"{repo_id}/episode_{episode_index}", spawn=spawn_local_viewer) rr.init(f"{repo_id}/episode_{episode_index}", spawn=spawn_local_viewer)
# Manually call python garbage collector after `rr.init` to avoid hanging in a blocking flush
# when iterating on a dataloader with `num_workers` > 0
# TODO(rcadene): remove `gc.collect` when rerun version 0.16 is out, which includes a fix
gc.collect()
if mode == "distant": if mode == "distant":
rr.serve(open_browser=False, web_port=web_port, ws_port=ws_port) rr.serve(open_browser=False, web_port=web_port, ws_port=ws_port)
logging.info("Logging to Rerun") logging.info("Logging to Rerun")
if num_workers > 0:
# TODO(rcadene): fix data workers hanging when `rr.init` is called
logging.warning("If data loader is hanging, try `--num-workers 0`.")
for batch in tqdm.tqdm(dataloader, total=len(dataloader)): for batch in tqdm.tqdm(dataloader, total=len(dataloader)):
# iterate over the batch # iterate over the batch
for i in range(len(batch["index"])): for i in range(len(batch["index"])):
@ -196,7 +214,7 @@ def main():
parser.add_argument( parser.add_argument(
"--num-workers", "--num-workers",
type=int, type=int,
default=0, default=4,
help="Number of processes of Dataloader for loading the data.", help="Number of processes of Dataloader for loading the data.",
) )
parser.add_argument( parser.add_argument(

288
poetry.lock generated
View File

@ -2606,13 +2606,13 @@ testing = ["pytest", "pytest-benchmark"]
[[package]] [[package]]
name = "pre-commit" name = "pre-commit"
version = "3.7.0" version = "3.7.1"
description = "A framework for managing and maintaining multi-language pre-commit hooks." description = "A framework for managing and maintaining multi-language pre-commit hooks."
optional = true optional = true
python-versions = ">=3.9" python-versions = ">=3.9"
files = [ files = [
{file = "pre_commit-3.7.0-py2.py3-none-any.whl", hash = "sha256:5eae9e10c2b5ac51577c3452ec0a490455c45a0533f7960f993a0d01e59decab"}, {file = "pre_commit-3.7.1-py2.py3-none-any.whl", hash = "sha256:fae36fd1d7ad7d6a5a1c0b0d5adb2ed1a3bda5a21bf6c3e5372073d7a11cd4c5"},
{file = "pre_commit-3.7.0.tar.gz", hash = "sha256:e209d61b8acdcf742404408531f0c37d49d2c734fd7cff2d6076083d191cb060"}, {file = "pre_commit-3.7.1.tar.gz", hash = "sha256:8ca3ad567bc78a4972a3f1a477e94a79d4597e8140a6e0b651c5e33899c3654a"},
] ]
[package.dependencies] [package.dependencies]
@ -2860,67 +2860,67 @@ files = [
[[package]] [[package]]
name = "pymunk" name = "pymunk"
version = "6.7.0" version = "6.8.0"
description = "Pymunk is a easy-to-use pythonic 2D physics library" description = "Pymunk is a easy-to-use pythonic 2D physics library"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
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] ]
[[package]] [[package]]
@ -3803,13 +3803,13 @@ tests = ["pytest", "pytest-cov"]
[[package]] [[package]]
name = "tifffile" name = "tifffile"
version = "2024.5.3" version = "2024.5.10"
description = "Read and write TIFF files" description = "Read and write TIFF files"
optional = true optional = true
python-versions = ">=3.9" python-versions = ">=3.9"
files = [ files = [
{file = "tifffile-2024.5.3-py3-none-any.whl", hash = "sha256:cac4d939156ff7f16d65fd689637808a7b5b3ad58f9c73327fc009b0aa32c7d5"}, {file = "tifffile-2024.5.10-py3-none-any.whl", hash = "sha256:4154f091aa24d4e75bfad9ab2d5424a68c70e67b8220188066dc61946d4551bd"},
{file = "tifffile-2024.5.3.tar.gz", hash = "sha256:44521508ecc51ebaf0e47e9748913e9c7331a4e32fb571ff4dfc05cb8f4d8896"}, {file = "tifffile-2024.5.10.tar.gz", hash = "sha256:aa1e1b12be952ab20717d6848bd6d4a5ee88d2aa319f1152bff4354ad728ec86"},
] ]
[package.dependencies] [package.dependencies]
@ -4348,4 +4348,4 @@ xarm = ["gym-xarm"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.10,<3.13" python-versions = ">=3.10,<3.13"
content-hash = "21dd1d7404ac774bd1139e8cda44ea8e3ed97c30e524f2ed862de431d3d5fa87" content-hash = "2f0d2cbf4a2dec546e25b29b9b108ff1f97b4c278b718360b3f7f6a2bf9dcef8"

View File

@ -54,7 +54,7 @@ pre-commit = {version = ">=3.7.0", optional = true}
debugpy = {version = ">=1.8.1", optional = true} debugpy = {version = ">=1.8.1", optional = true}
pytest = {version = ">=8.1.0", optional = true} pytest = {version = ">=8.1.0", optional = true}
pytest-cov = {version = ">=5.0.0", optional = true} pytest-cov = {version = ">=5.0.0", optional = true}
datasets = ">=2.19.0" datasets = "^2.19.0"
imagecodecs = { version = ">=2024.1.1", optional = true } imagecodecs = { version = ">=2024.1.1", optional = true }
pyav = ">=12.0.5" pyav = ">=12.0.5"
moviepy = ">=1.0.3" moviepy = ">=1.0.3"

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .utils import DEVICE from .utils import DEVICE

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" """
This script provides a utility for saving a dataset as safetensors files for the purpose of testing backward compatibility This script provides a utility for saving a dataset as safetensors files for the purpose of testing backward compatibility
when updating the data format. It uses the `PushtDataset` to create a DataLoader and saves selected frame from the when updating the data format. It uses the `PushtDataset` to create a DataLoader and saves selected frame from the

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import shutil import shutil
from pathlib import Path from pathlib import Path

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import importlib import importlib
import gymnasium as gym import gymnasium as gym

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json import json
import logging import logging
from copy import deepcopy from copy import deepcopy

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import importlib import importlib
import gymnasium as gym import gymnasium as gym

View File

@ -1,8 +1,25 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# TODO(aliberts): Mute logging for these tests # TODO(aliberts): Mute logging for these tests
import subprocess import subprocess
import sys import sys
from pathlib import Path from pathlib import Path
from tests.utils import require_package
def _find_and_replace(text: str, finds_and_replaces: list[tuple[str, str]]) -> str: def _find_and_replace(text: str, finds_and_replaces: list[tuple[str, str]]) -> str:
for f, r in finds_and_replaces: for f, r in finds_and_replaces:
@ -21,6 +38,7 @@ def test_example_1():
assert Path("outputs/examples/1_load_lerobot_dataset/episode_0.mp4").exists() assert Path("outputs/examples/1_load_lerobot_dataset/episode_0.mp4").exists()
@require_package("gym_pusht")
def test_examples_3_and_2(): def test_examples_3_and_2():
""" """
Train a model with example 3, check the outputs. Train a model with example 3, check the outputs.

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import inspect import inspect
from pathlib import Path from pathlib import Path

View File

@ -1,3 +1,18 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest import pytest
from lerobot.scripts.visualize_dataset import visualize_dataset from lerobot.scripts.visualize_dataset import visualize_dataset

View File

@ -1,4 +1,20 @@
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import platform import platform
from functools import wraps
import pytest import pytest
import torch import torch
@ -61,7 +77,6 @@ def require_env(func):
Decorator that skips the test if the required environment package is not installed. Decorator that skips the test if the required environment package is not installed.
As it need 'env_name' in args, it also checks whether it is provided as an argument. As it need 'env_name' in args, it also checks whether it is provided as an argument.
""" """
from functools import wraps
@wraps(func) @wraps(func)
def wrapper(*args, **kwargs): def wrapper(*args, **kwargs):
@ -82,3 +97,20 @@ def require_env(func):
return func(*args, **kwargs) return func(*args, **kwargs)
return wrapper return wrapper
def require_package(package_name):
"""
Decorator that skips the test if the specified package is not installed.
"""
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
if not is_package_available(package_name):
pytest.skip(f"{package_name} not installed")
return func(*args, **kwargs)
return wrapper
return decorator