No such file or directory: 'megatron/core/requirements.txt' when installing nemo 1.22
using the docker container is highly recommended https://github.com/NVIDIA/NeMo?tab=readme-ov-file#docker-containers You are using the wrong version of python, you need to use python 3.10.12. For some reasons, I need to stick to python3.8.
Previous Nemo version installed and worked ok (I do not use anything related to megatron). Is the reported error (missing file) related to Python version? If you need just ASR, you can safely install nemo_toolkit[ASR]. However it may be time to update. 3.8 has been deprecated for over a year now, and ASR has also started using syntax from 3.10 for Lhotse datasets. So in the coming month or two even pip install nemo_toolkit[ASR] will no longer safely work on python ,3.8 As to docker, it's actually not the primary path we recommend for local 1 GPU development. 

NeMo ASR at least is designed to be a pip installable package. Ofc, docker is very convenient when you just want to start working on clusters, and we too only use docker containers in those cases  This should be fixed with this PR: https://github.com/NVIDIA/NeMo/pull/8465

Please try again and close the bug if your issue is solved. thanks
**Describe the bug**

No such file or directory: 'megatron/core/requirements.txt' when installing nemo 1.22

**Steps/Code to reproduce bug**
```
File "/tmp/pip-build-env-93j56cnr/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 311, in run_setup
      exec(code, locals())
    File "<string>", line 52, in <module>
    File "<string>", line 45, in req_file
  FileNotFoundError: [Errno 2] No such file or directory: 'megatron/core/requirements.txt'
```
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**

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**Environment overview (please complete the following information)**

 - 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**

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**Additional context**

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