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fix question answering error when running pipeline model on cuda #2291

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merged 1 commit into from
Aug 29, 2023
Merged

fix question answering error when running pipeline model on cuda #2291

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6 changes: 4 additions & 2 deletions responsibleai_text/responsibleai_text/utils/question_answering.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,10 +43,12 @@ def predict_qa(self, questions, start):
for q in questions:
question, context = q.split(SEP)
d = self._qa_model.tokenizer(question, context)
device = self._qa_model.device
out = self._qa_model.model.forward(
**{k: torch.tensor(d[k]).reshape(1, -1) for k in d})
**{k: torch.tensor(
d[k], device=device).reshape(1, -1) for k in d})
logits = out.start_logits if start else out.end_logits
outs.append(logits.reshape(-1).detach().numpy())
outs.append(logits.reshape(-1).detach().cpu().numpy())
return outs

def predict_qa_start(self, questions):
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3 changes: 2 additions & 1 deletion responsibleai_vision/responsibleai_vision/rai_vision_insights/rai_vision_insights.py
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Original file line number Diff line number Diff line change
Expand Up @@ -266,7 +266,8 @@ def _initialize_managers(self):
self.image_mode,
self.max_evals,
self.num_masks,
self.mask_res)
self.mask_res,
self.device)
self._error_analysis_manager = ErrorAnalysisManager(
self._wrapped_model, self.test, self._ext_test_df,
self.target_column,
Expand Down