Improve pytorch examples for fp16 (#9796)
* Pad to 8x for fp16 multiple choice example (#9752) * Pad to 8x for fp16 squad trainer example (#9752) * Pad to 8x for fp16 ner example (#9752) * Pad to 8x for fp16 swag example (#9752) * Pad to 8x for fp16 qa beam search example (#9752) * Pad to 8x for fp16 qa example (#9752) * Pad to 8x for fp16 seq2seq example (#9752) * Pad to 8x for fp16 glue example (#9752) * Pad to 8x for fp16 new ner example (#9752) * update script template #9752 * Update examples/multiple-choice/run_swag.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update examples/question-answering/run_qa.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update examples/question-answering/run_qa_beam_search.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * improve code quality #9752 Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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@@ -327,7 +327,7 @@ def main():
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# Data collator
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data_collator = DataCollatorForTokenClassification(tokenizer)
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data_collator = DataCollatorForTokenClassification(tokenizer, pad_to_multiple_of=8 if training_args.fp16 else None)
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# Metrics
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metric = load_metric("seqeval")
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