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Tao Luo edited this page Dec 9, 2019 · 1 revision

wangkuiyi

helinwang

typhoonzero(wuyi)

  • Paddle cloud:
  • MPI GPU+RDMA Cluster binary update.
    • TODO: port RDMA to GitHub, add RDMA support docker images
  • Catch up with current surveys and look into expression templates.

Yancey1989(yanxu)

gangliao

livc(Zhao Li)

  • Start using PaddlePaddle Cloud to train gesture data because the newly acquired data is very large.
  • Research image caption and video caption of PaddlePaddle implementation, which can be added to the models repository. And we can design some interesting demos based it, then publish them on the WeChat official account.

kuke (Yibing Liu)

Xinghai Sun

wanghaoshuang

yangyaming

Shaoyong Xu

Cao Ying

hedaoyuan

Refactor convolution code
This week's work is three convolution-related code refactoring. The convolution function based on Gemm has been completed. BlockExpandLayer refactoring based on the ImageExpand function is being written.There is a Issue that describes the calculation of the size of the convolution output in the paddle.

Code Review

luotao

Liu Yiqun

  • Learn the implementation of float16 and int8 in caffe2 and majel

Dang Qingqing

yuyang

  • Give A PR to show what's my opinion about neural network refactoring. #2445
    • Talks to qingqing and longfei, thanks them help me found some weakness of this PR, and let them help me give some evidence.
  • Investigating Sparse Representation for Neural Network Ops.

fengjiayi

  • Learn implements of Array and View in Majel, and try to port Array to Paddle.
  • Survey on expression template and prepare for a presentation.

qiaolongfei

Xingzhaolong

  • test a model on cifar10 dataset on static pruning of paddle.
  • Investigation on mobilenet.
  • auto pruning on paddle

qijun

  • survey the relationship between Tensor library and deep learning System, and have made a report
  • make some new commits on porting allocation from majel to paddle

guosheng

Zhihong Dong

Yan Chunwei

  • Refactoration Survey
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