[IPU] add bert-base model for ipu #1793
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ZeyuChen
previously approved these changes
Mar 18, 2022
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@guoshengCS We can add this examples as PaddleNLP 2.3 feature. |
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请问对于这个 PR 有任何建议或者合入的计划吗? @guoshengCS |
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很赞的工作，感谢贡献，抱歉有所耽搁~ @gglin001 |
谢谢~~ 接下来我们会在新的 SDK 上进行测试, 可能还会有一些更新加入进来哈, 到时麻烦继续 review 下 😉 |
ZeyuChen
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Apr 17, 2022
* add bert-base model for ipu * use hdf5 dataset * add enable_engine_caching param * use HF dataset for squad task * update readme
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Models
Description
添加 BERT-base 模型在 IPU 上运行的支持, 包含 pretrainning 和 SQuAD 两个 task.
模型使用静态图构建, 使用半精度训练 ,最终性能和精度运行结果如下:
全部的代码放在了
examples/language_model/bert/static_ipu/目录下, 文件详情请参考README.md主要修改:
为了实现在 IPU 上训练的最佳性能, 模型构图部分使用了自定义的
modeling.py添加了部分 ipu 的自定义算子用于构建模型(主要为了性能方面的考虑)
由于需要对模型的输入做 remask 操作, 使用单一线程载入数据集会导致数据载入耗时比较长, 影响 end2end 的 throughput, dataset 部分使用了自定义的dataloader, 使用了多个进程做 remask 操作, 见
dataset_ipu.pyload_tf_ckpt.py用于映射 Google发布的 BERT pretrain weight https://storage.googleapis.com/bert_models/2018_10_18/uncased_L-12_H-768_A-12.zipPR主要用于评估代码是否适合放在 paddlenlp 仓库中, 麻烦 reviewer 提出宝贵意见 😊