Nemo on Jetson Xavier NX 5.0.2
State: closed | Pull request: no
Labels: name: bug

Sorry I have to reopen a issue related to Jetson Xavier, I found several issues reported in the passed two years. but didn't helped me to solve the problem. Hope there still some friends playing with new version 5.0.2.

**Describe the bug**
before install Nemo , I installed: torch-1.12.0a0+2c916ef.nv22.3-cp38-cp38-linux_aarch64.whl, which downloaded from https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048.

During installation from source: ./reinstall.sh:
ERROR: tensorboard 2.10.1 has requirement protobuf<3.20,>=3.9.2, but you'll have protobuf 4.21.7 which is incompatible.
ERROR: onnx 1.12.0 has requirement protobuf<=3.20.1,>=3.12.2, but you'll have protobuf 4.21.7 which is incompatible.
which version I should use?
A clear and concise description of what the bug is.

**Steps/Code to reproduce bug**

Please list *minimal* steps or code snippet for us to be able to reproduce the bug.

A  helpful guide on on how to craft a minimal bug report  http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports. 


**Expected behavior**

A clear and concise description of what you expected to happen.

**Environment overview (please complete the following information)**
package version information:

Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: nemo_toolkit[asr] in ./NeMo (1.13.0rc0)
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 - Environment location: [Bare-metal, Docker, Cloud(specify cloud provider - AWS, Azure, GCP, Collab)]
 - Method of NeMo install: [pip install or from source]. Please specify exact commands you used to install.
 - If method of install is [Docker], provide `docker pull` & `docker run` commands used

**Environment details**

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version
- PyTorch version
- Python version

**Additional context**

Add any other context about the problem here.
Example: GPU model