lerobot2rlds

[swstbecrpgmail]

System Info

Thank you very much for open-sourcing this tool! I encountered an error as shown belowd while using lerobot2rlds.
Could you please share the environment you used when working with lerobot2rlds, such as the Linux version, conda environment, etc.?
Thank you very much!

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
multiprocess 0.70.16 requires dill>=0.3.8, but you have dill 0.3.1.1 which is incompatible.
rerun-sdk 0.23.4 requires pyarrow>=18.0.0, but you have pyarrow 16.1.0 which is incompatible.
tensorflow-metadata 1.17.2 requires protobuf<4.22,>=4.21.6; python_version < "3.11", but you have protobuf 5.29.5 which is incompatible.

Reproduction

nothing

Expected behavior

nothing

[Tavish9]

Please show all you env setup steps, thanks.

[swstbecrpgmail]

Please show all you env setup steps, thanks.

Thank you very much for your early reply!
Here's my env setup steps, which follows your readme.

git clone https://github.com/huggingface/lerobot.git
cd lerobot
conda create -y -n lerobot2rlds python=3.10
conda activate lerobot2rlds
pip install -e .

pip install tensorflow
pip install tensorflow-datasets
pip install apache-beam

Additionally, the system I am using is a CentOS-based internal company system. The incompatibility issue between Apache Beam and multiprocessing is also mentioned here: https://github.com/apache/beam/issues/24458.
Therefore, I suspect that the error and subsequent program failure are caused by package version incompatibility (may also related to torch and cuda version).

Again, Thank you very much!

[Tavish9]

Thanks for your detailed steps and the report of incompatibility between apache-beam and multiprocessing.

Here is my env, hope it helps.

Package                      Version     
---------------------------- ----------- 
apache-beam                  2.65.0
datasets                     3.6.0
datatrove                    0.5.0
dill                         0.4.0
multiprocess                 0.70.18
protobuf                     3.20.3
pyarrow                      16.1.0
rerun-sdk                    0.22.1
tensorboard                  2.18.0
tensorboard-data-server      0.7.2
tensorflow                   2.18.0
tensorflow-addons            0.23.0
tensorflow-datasets          4.9.7
tensorflow-graphics          2021.12.3
tensorflow-io-gcs-filesystem 0.37.1
tensorflow-metadata          1.16.1
torch                        2.6.0
TorchCodec                   0.2.1
torchvision                  0.21.0

[swstbecrpgmail]

Thanks for your detailed steps and the incompatibility between apache-beam and multiprocessing.

Here is my env, hope it helps.

Package Version

---

apache-beam 2.65.0
datasets 3.6.0
datatrove 0.5.0
dill 0.4.0
multiprocess 0.70.18
protobuf 3.20.3
pyarrow 16.1.0
rerun-sdk 0.22.1
tensorboard 2.18.0
tensorboard-data-server 0.7.2
tensorflow 2.18.0
tensorflow-addons 0.23.0
tensorflow-datasets 4.9.7
tensorflow-graphics 2021.12.3
tensorflow-io-gcs-filesystem 0.37.1
tensorflow-metadata 1.16.1
torch 2.6.0
TorchCodec 0.2.1
torchvision 0.21.0

Thank you very much! I will try it out, and if there are still problems, I will reopen this issue.