Related Issues (20)
- [BUG] getting dtype error when serving an NVT workflow model on TIS with TransformWorkflow op HOT 3
- [BUG] Bugs to deploy NVTabular + Transformer4Rec with TorchScript backend HOT 12
- [BUG] Operators that use BLS don't correctly propagate errors from the Triton models they call
- [Task] Add a GHA workflow to run the linters with `pre-commit`
- [BUG] `prediction_tasks=mm.BinaryOutput(target_column)` doesn't work with `PredictTensorflow` HOT 1
- [QST] filtercandidate opt not working for multi-stage workflow HOT 2
- [BUG] Notebook broken: getting error from `ensemble.export(export_path)` step in multi-stage serving example nb HOT 4
- [QST] Get recommended IDs and scores back from TIS at the same time HOT 3
- [BUG] TF4Rec model serving with Torch script nb is broken HOT 2
- [BUG] ValueError: Can't convert datetime64[ns] to a Triton dtype HOT 1
- [BUG] NVT Categorify category files aren't saved/loaded to the correct path HOT 1
- Have a padding operator and add Support for ragged inputs that we can use consistently with Transformers for rec HOT 3
- [BUG] error serving an ensemble (workflow + MM model)
- [BUG] InferenceServerException: [StatusCode.INTERNAL] tuple index out of range HOT 1
- [BUG] getting error when serving 0_transformworkflowtriton in session-based example HOT 5
- [QST]ensemble schema changes after upgrading merlin version and refuses to take array as input HOT 1
- [BUG] Unable to serve a topK session-based model on Triton
- [QST] Can I ignore the is_ragged property of the categorical features when exporting the Workflow ? HOT 2
- [BUG] QueryFaiss returning item ID as -1 causing type error HOT 1
- [QST] Prepare a triton inference request with a `is_list`, `is_ragged` column HOT 2
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