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pass transforms for optimized automl model explanations and improve error logging to include inner exception #2269

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merged 1 commit into from
Aug 23, 2023
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pass transforms for optimized automl model explanations and improve error logging to include inner exception #2269

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14 changes: 11 additions & 3 deletions responsibleai_vision/responsibleai_vision/managers/explainer_manager.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@
import io
import json
import pickle
import traceback
import warnings
from pathlib import Path
from typing import Any, List, Optional
Expand Down Expand Up @@ -120,12 +121,15 @@ def __init__(self, model: Any,
automl_wrapper = python_model._model
inner_model = automl_wrapper._model
number_of_classes = automl_wrapper._number_of_classes
transforms = automl_wrapper.get_inference_transform()
self._model = PytorchDRiseWrapper(
inner_model, number_of_classes, device=device)
except Exception as e:
inner_model, number_of_classes, device=device,
transforms=transforms)
except Exception:
tb = traceback.format_exc()
warnings.warn(("Could not extract inner automl model." +
"Explanation may take longer to compute." +
"Inner exception: {}").format(str(e)),
"Inner exception: {}").format(tb),
UserWarning)
self._model = MLflowDRiseWrapper(model._model, classes)
else:
Expand Down Expand Up @@ -299,6 +303,10 @@ def compute_single_explanation(self,
return fl
b64_string = fl[object_index]
except BaseException:
tb = traceback.format_exc()
warnings.warn(("Could not generate saliency map. " +
"Inner exception: {}").format(tb),
UserWarning)
if object_index is None:
return [self._get_fail_str()]
b64_string = self._get_fail_str()
Expand Down
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