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Commit d72fa2a0 authored by Morgan Funtowicz's avatar Morgan Funtowicz
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Fix inputs_for_model call in QuestionAnsweringPipeline accessing __dict__ on list.

parent bcc99fd9
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transformers/pipelines.py
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...@@ -504,7 +504,7 @@ class QuestionAnsweringPipeline(Pipeline): ...@@ -504,7 +504,7 @@ class QuestionAnsweringPipeline(Pipeline):
# Convert inputs to features # Convert inputs to features
examples = self._args_parser(*texts, **kwargs) examples = self._args_parser(*texts, **kwargs)
features = squad_convert_examples_to_features(examples, self.tokenizer, kwargs['max_seq_len'], kwargs['doc_stride'], kwargs['max_question_len'], False) features = squad_convert_examples_to_features(examples, self.tokenizer, kwargs['max_seq_len'], kwargs['doc_stride'], kwargs['max_question_len'], False)
fw_args = self.inputs_for_model(features.__dict__) fw_args = self.inputs_for_model([f.__dict__ for f in features])
# Manage tensor allocation on correct device # Manage tensor allocation on correct device
with self.device_placement(): with self.device_placement():
......
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