Skander Moalla
Skander Moalla
Actually there is another issue with ParallelEnv. The native truncation key is not faithful. ```python from tensordict.nn import TensorDictModule from torch import nn from torchrl.envs import ExplorationType, ParallelEnv, StepCounter, TransformedEnv...
This is now solved, right?
This only applies to rootful containers. For containers with mounted namespaces (Pyxis+Enroot, apptainer) no privileges are needed.
#27 adds the build dependencies in the images and builds without isolation. This makes the build much faster in the cases where it's only Python code to link.
> Small note though: I'm more open to change things on the RL side than tensordict, the reason being that parts of this lib is at risk of being moved...
Seems like just copying the `installation` directory gets the job done. The documentation should probably be rewritten to be agnostic to the project structure, but the installation code is usable...
I have the same issue even without `torch.compile`. I can maybe also open a separate issue? ```python import torch from transformers import AutoModelForCausalLM, AutoTokenizer device = "cuda" ckpt = "meta-llama/Llama-3.2-1B-Instruct"...