metaseq: "RuntimeError: torch.distributed is not yet initialized but process group is requested" when trying to run API

❓ Questions and Help

After following setup steps I ran metaseq-api-local and got this output:

$ metaseq-api-local
Traceback (most recent call last):
  File "/home/jliu/openpretrainedtransformer/metaseq/metaseq/service/constants.py", line 17, in <module>
    from metaseq_internal.constants import LOCAL_SSD, MODEL_SHARED_FOLDER
ModuleNotFoundError: No module named 'metaseq_internal'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/jliu/miniconda3/envs/conda_env_opt/bin/metaseq-api-local", line 33, in <module>
    sys.exit(load_entry_point('metaseq', 'console_scripts', 'metaseq-api-local')())
  File "/home/jliu/miniconda3/envs/conda_env_opt/bin/metaseq-api-local", line 25, in importlib_load_entry_point
    return next(matches).load()
  File "/home/jliu/miniconda3/envs/conda_env_opt/lib/python3.9/importlib/metadata.py", line 86, in load
    module = import_module(match.group('module'))
  File "/home/jliu/miniconda3/envs/conda_env_opt/lib/python3.9/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
  File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 850, in exec_module
  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
  File "/home/jliu/openpretrainedtransformer/metaseq/metaseq_cli/interactive_hosted.py", line 31, in <module>
    from metaseq.service.constants import (
  File "/home/jliu/openpretrainedtransformer/metaseq/metaseq/service/constants.py", line 40, in <module>
    raise RuntimeError(
RuntimeError: You must set the variables in metaseq.service.constants to launch the API.

Am I missing a step? I tried manually setting LOCAL_SSD, MODEL_SHARED_FOLDER to a new folder I created but then other things failed.

• fairseq Version (e.g., 1.0 or master): followed setup.md
• PyTorch Version (e.g., 1.0) followed setup.md
• OS (e.g., Linux): Ubuntu
• How you installed fairseq (pip, source): source
• Build command you used (if compiling from source): followed setup.md
• Python version: 3.9.12
• CUDA/cuDNN version: 11.3
• GPU models and configuration: Quadro RTX 5000
• Any other relevant information: