I’m working on standalone TensorBoard, https://github.com/dmlc/tensorboard <https://github.com/dmlc/tensorboard>, currently we’ve support several features in original TensorBoard from TensorFlow in pure Python without any DL framework dependency.
Recently I’m trying to bring more features to this standalone version, but seems not very trivial as it depends on TensorFlow. Any advice are welcomed and looking for help. Thanks, Zihao > 在 2017年9月26日，下午1:58，sandeep krishnamurthy <[email protected]> 写道： > > I am currently working with Jiajie Chen (https://github.com/jiajiechen/) on > building an automated periodic benchmarking framework to run various > standard MXNet training jobs with both Symbolic and Gluon interface. This > framework will run following standard training jobs on a nightly and weekly > basis helping us to track performance improvements or regression early in > the development cycle of MXNet. Both CPU and GPU instances are used > capturing various metrics like training accuracy, validation accuracy, > convergence, memory consumption, speed. > > To start with, we will be running Resnet50, Resnet152 on CIFAR and > Synthetic Dataset. And, few more RNN and Bidirectional LSTM training jobs. > > Thanks, > Sandeep > > > On Mon, Sep 25, 2017 at 8:00 PM, Henri Yandell <[email protected]> wrote: > >> Getting an instance of github.com/amzn/oss-dashboard setup for mxnet. >> >> Hopefully useful to write custom metric analysis; like: "most pull requests >> from non-committer" and "PRs without committer comment". >> >> Hen >> >> On Mon, Sep 25, 2017 at 11:24 Seb Kiureghian <[email protected]> wrote: >> >>> Hey dev@, >>> >>> In the spirit of bringing more activity to the mailing lists and growing >>> the community, can everyone who is working on MXNet please share what >>> you're working on? >>> >>> I'm working on >>> -Redesigning the website >>> <https://mxnet.incubator.apache.org/versions/master/index.html>. >>> -Setting up a forum for user support. >>> >>> Seb Kiureghian >>> >> > > > > -- > Sandeep Krishnamurthy
