Raise TritonModelException if the Triton model has an error #333
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Raises error from
PredictPyTorchTriton
and in the executor model so that any errors in the pytorch model are surfaced.Currently might see a cryptic error about missing keys in a response, while the actual error that happened in one of the backends (e.g. pytorch) doesn't get reported or printed anywhere.
Example
Using the test added in this PR as an example
tests/unit/systems/ops/torch/test_ensemble.py::test_model_error
Before
After