[Bug] ModuleNotFoundError: No module named 'torchdata.datapipes' on Linux aarch64 (DGL incompatibility)

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Dear RFdiffusion / DGL Team,

I am writing to report a persistent issue I'm encountering while trying to set up RFdiffusion on a Linux aarch64 (ARM64) system. I would greatly appreciate any guidance or known solutions.

**Problem Description:**
When attempting to import RFdiffusion's core modules, I consistently get a `ModuleNotFoundError: No module named 'torchdata.datapipes'`. This error originates within the `dgl` library, specifically when it tries to import the `datapipes` submodule from `torchdata`.

**Environment:**
- **Operating System:** Linux aarch64 (Ubuntu 24.04.1 LTS)
- **Python Version:** 3.9 (Conda environment)
- **PyTorch Version:** 2.0.0 (CPU-only build from `conda-forge`)
- **TorchVision Version:** 0.15.2
- **TorchAudio Version:** 2.0.0 (installed via pip)
- **CUDA Toolkit:** 11.8 (Installed via Conda, but PyTorch build is CPU)
- **DGL Version:**
- `conda install` attempts for versions 0.8.1, 0.9.1, 1.0.0, 1.1.2 (+cu118) resulted in `PackagesNotFoundError` (Conda could not find/resolve them).
- `pip install dgl` (latest, 2.1.0) successfully installs DGL.
- **TorchData Version:** 0.11.0 (installed via pip)
- **RFdiffusion Source:** https://github.com/RosettaCommons/RFdiffusion
- **ColabDesign Source:** https://github.com/sokrypton/ColabDesign

**Steps to Reproduce:**
1. Switched to a Python 3.9 environment.
* Created a base environment using `conda create -n SE3nv python=3.9`.
* Installed PyTorch ecosystem (`pytorch==2.0.0`, `torchvision==0.15.2`, `cudatoolkit=11.8`) from `conda-forge`. (This step succeeded.)
* Installed DGL latest version (2.1.0) via `pip install dgl`. (This step succeeded.)
* Installed TorchAudio 2.0.0 via `pip install torchaudio==2.0.0`. (This step succeeded.)
* Installed `RFdiffusion/env/SE3Transformer` and `ColabDesign` (`pip install -e .`).
* Installed remaining pip dependencies (omegaconf, icecream, pyrsistent, matplotlib, ipywidgets, py3Dmol, jupyterlab, etc.).
2. Attempted `python -c "from inference.utils import parse_pdb"`.

**Expected Behavior:**
RFdiffusion modules should import successfully.

**Actual Behavior (Traceback):**
(Please copy and paste the **full traceback** from your most recent `ModuleNotFoundError: No module named 'torchdata.datapipes'` here. For example:)
Traceback (most recent call last):
File "

**Additional Context (What I've Tried):**
- Attempted installation in Python 3.10 environment, but failed due to DGL, TorchData, and TorchAudio version conflicts.
- For Python 3.9, `conda install` attempts for DGL versions (0.8.1, 0.9.1, 1.0.0, 1.1.2 with `cu118` label) from `dglteam` and `defaults` channels consistently failed with `PackagesNotFoundError`. This indicates Conda cannot find or resolve these `aarch64` builds.
- Manually checked `~/miniconda3/envs/SE3nv/lib/python3.9/site-packages/torchdata/` via `ls -l` and confirmed that the `datapipes` directory is **physically missing**. This strongly suggests a structural mismatch between DGL 2.1.0's requirements and the available TorchData 0.11.0 build for `aarch64`.

**Question:**
Are there any known working `dgl` / `torchdata` version combinations or specific installation instructions for `linux-aarch64` that successfully resolve this `torchdata.datapipes` issue? Are there any official `aarch64` Docker images or specific `Dockerfile` modifications known to work?

Thank you for your time and assistance.