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From 大嶋悠司 <yuji.oshima0x...@gmail.com>
Subject Re: Help to subscribe MXNet Slack channel
Date Tue, 06 Mar 2018 07:56:18 GMT
Hi Jun

Thank you for the reply and to share your work! That's great!
I agree with using tensorboard for visualization and I made small PR for
Histogram callback( https://github.com/apache/incubator-mxnet/pull/9994 )
Though I worried about that the dmlc/tensorboard repo would be maintained,
by looking your branch I clearly understood that you will make not to
depend on that repo.
I agree with your design and willing to contribute it in any way.
I want to add the visualization of graphs support.
According to your document, it's TBD and depends on ONNX-mxnet.
Does the reason of depending on ONNX is that you would like to use
"torch.onnx._optimize_trace" method?

Thanks,
Yuji

2018-03-06 15:36 GMT+09:00 Jun Wu <wujun.nju@gmail.com>:

> Hi Yuji,
>
> Welcome to the MXNet community!
>
> We have been working on delivering a complete logging solution in MXNet
> for users to employ the TensorFlow's TensorBoard for visualization. You can
> find our work in the following links:
> - Design Doc: https://cwiki.apache.org/confluence/display/MXNET/
> Logging+MXNet+Data+for+Visualization+in+TensorBoard
> <https://cwiki.apache.org/confluence/display/MXNET/Logging+MXNet+Data+for+Visualization+in+TensorBoard>
> - GitHub Working Branch: https://github.com/reminisce/mxnet/tree/
> tensorboard_logging
>
> It's mostly functional, and we are adding unit tests, tutorials, and
> documentation for APIs to make the code mergeable to the MXNet master
> branch.
>
> In order not to duplicate efforts on both sides, could you share your work
> plan so that we can decide on how to move forward?
>
> Thanks,
> Jun
>
> On Mon, Mar 5, 2018 at 10:02 PM, 大嶋悠司 <yuji.oshima0x3fd@gmail.com> wrote:
>
>> Hi,
>>
>> I am Yuji from NTT Research team to work on improving logging and
>> visualization of MXNet.
>> Would you help to add me into the Slack channel? Thanks.
>>
>> Best Regards,
>> Yuji Oshima
>>
>
>

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