NVIDIA-Merlin / NVIDIA-Merlin/Merlin
[BUG] Error of accessing 'nvtabular.inference.triton.model_config_pb2
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bug
P1
- Dominant language
- Python
- Stars
- 907
- Forks
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Description
Bug description
I am trying to run 03-model-inference-hugectr.ipynb from jupyter notebook.
I got an error at Line 26 of
[nvidia-merlin-on-vertex-ai](https://github.com/GoogleCloudPlatform/nvidia-merlin-on-vertex-ai)/[src](https://github.com/GoogleCloudPlatform/nvidia-merlin-on-vertex-ai/tree/main/src)/[serving](https://github.com/GoogleCloudPlatform/nvidia-merlin-on-vertex-ai/tree/main/src/serving)/export.py
import nvtabular.inference.triton.model_config_pb2 as model_config
ModuleNotFoundDErrorL No module names 'nvtabular.inference.triton.model_config_pb2'
Steps/Code to reproduce bug
Expected behavior
Environment details
- Merlin version: the code was checked out from https://github.com/GoogleCloudPlatform/nvidia-merlin-on-vertex-ai.git
- Platform: macOS
- Python version: 3.9.2
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
Additional context
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by running 03-model-inference-hugectr.ipynb and inspect src/serving/export.py, especially the import of nvtabular.inference.triton.model_config_pb2. Check the environment and dependency versions around that import, then verify that the notebook's model-inference path completes without the reported ModuleNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- backend, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100