Added an example to apply ASP on existed BERT training scripts #579
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Thanks for your contributions! @guoshengCS Please review the code. |
guoshengCS
reviewed
Jun 21, 2021
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| # Keep Pooler and task-specific layer dense. | ||
| # Please note, excluded_layers must be set before calling `optimizer.minimize()`. | ||
| sparsity.set_excluded_layers(main_program, ['linear_72', 'linear_73',]) |
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How about using model.bert.pooler.dense.full_name(), model.classifier.full_name() to replace 'linear_72', 'linear_73', which might be more meaningful.
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It's a great suggestion. Updated.
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Thanks for your contribution! @mingxu1067 |
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PR types
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PR changes
Models
Description
Added an example to apply Automatic SParsity (ASP) module (new feature of PaddlePaddle) on BERT GLUE finetuning.
That is only few line insertion needed to enable training in ASP workflow.
sparsity.decorate(), which would insert weight masking operations.Please refer to ASP PR on PaddlePaddle for more details.
Note: We also implemented Distributed API for ASP, and it's under reviewing (here). After merged, we would also provided an example on multi-devices BERT pretraining.