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GVPMindSpore / mindsporePythonApache-2.0

2020-06-30 19:26
liucunwei

Release 0.5.0-beta

Major Features and Improvements

Ascend 910 Training and Inference Framework

  • New models
    • ResNext50: a simple, highly modularized network architecture using aggregated resdiual transformations for image classification on ImageNet 2012 dataset.
    • MASS: a pre-training method for sequence to sequence based language generation tasks on Text Summarization and Conversational Response Generation using News Crawls 2007-2017 dataset, Gigaword corpus and Cornell movie dialog corpus.
    • Transformer: a neural network architecture for language understanding on WMT 2014 English-German dataset.
    • GCN:Graph Convolutional Networks for the task of classification of nodes in a graph on Cora and Citeseer datasets.
    • GAT:an attention-based graph neural network for node classification on Cora and CiteSeer dataset.
  • Frontend and user interface
  • Executor and performance optimization
    • Heterogeneous execution on CPU and Ascend devices supported, and is verified in Wide&Deep model.
    • Quantitative training of MobileNetV2, Lenet and Resnet50 on Ascend-910 are supported.
    • Support new fusion architecture, which can do fusion optimization across graphs and kernels to improve execution speed.
  • Data processing, augmentation, and save format
    • Support data processing pipeline performance profiling.
    • Support public dataset loading, such as CLUE and Coco.
    • Support more text processing, such as more tokenizers and vocab data.
    • Support MindRecord padded data.

Other Hardware Support

  • GPU platform
    • New model supported: Bert / Wide&Deep.
    • Support setting max device memory.
  • CPU platform
    • New model supported: LSTM.

Bugfixes

Contributors

Thanks goes to these wonderful people:

Alexey Shevlyakov, avakh, baihuawei, BowenK, buxue, caifubi, caojian05, Cathy Wong, changzherui, chenfei, chengxianbin, chenhaozhe, chenjianping, chentingting, chenzomi, chujinjin, Danish Farid, dayschan, dengwentao, dinghao, etone-chan, fangzehua, fary86, geekun, Giancarlo Colmenares, gong chen, gukecai, guohongzilong, hangangqiang, heleiwang, hesham, He Wei, hexia, hongxing, huangdongrun, huanghui, islam_amin, Jamie Nisbet, Jesse Lee, jiangjinsheng, jiangzhiwen, jinyaohui, jjfeing, jojobugfree, Jonathan Yan, jonyguo, Junhan Hu, Kang, kingfo, kouzhenzhong, kpy, kswang, laiyongqiang, leopz, liangzelang, lichenever, lihongkang, Li Hongzhang, lilei, limingqi107, lirongzhen1, liubuyu, liuchongming74, liuwenhao4, liuxiao, Lixia Chen, liyanliu, liyong, lizhenyu, lvliang, Mahdi, Margaret_wangrui, meixiaowei, ms_yan, nhussain, ougongchang, panfengfeng, panyifeng, peilinwang, Peilin Wang, pkuliuliu, qianlong, rick_sanchez, shibeiji, Shida He, shijianning, simson, sunsuodong, suteng, Tinazhang, Tron Zhang, unknown, VectorSL, wandongdong, wangcong, wangdongxu, wangdongxu6, wanghua, wangnan39, Wei Luning, wenchunjiang, wenkai, wilfChen, WilliamLian, wukesong, Xian Weizhao, Xiaoda Zhang, xiefangqi, xulei2020, xunxue, xutianchun, Yang, yanghaitao, yanghaitao1, yanghaoran, yangjie, yangjie159, YangLuo, Yanjun Peng, yankai, yanzhenxiang2020, yao_yf, Yi Huaijie, yoonlee666, yuchaojie, yujianfeng, zhangzhongpeng, zhangdengcheng, Zhang Qinghua, zhangyinxia, zhangz0911gm, zhaojichen, zhaoting, zhaozhenlong, zhoufeng, zhouneng, zhousiyi, Zirui Wu, Ziyan, zjun, ZPaC, lihongzhang, wangdongxu

Contributions of any kind are welcome!

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