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New release? #708

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timonbimon opened this issue Jan 5, 2019 · 15 comments
Closed

New release? #708

timonbimon opened this issue Jan 5, 2019 · 15 comments

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@timonbimon
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Hi there, thanks for the awesome work, I use torchvision a lot :)

Was just wondering if there are any plans to make a new release and push it to PyPi soon?
It's been 8 months since the last one and I feel like there have been quite a few improvements on the master branch.

Cheers!

@hubutui
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hubutui commented Jan 5, 2019

Yeah, and there are a lot of new models, any plan pretrained models?

@varunagrawal
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varunagrawal commented Jan 5, 2019

@fmassa this is also a good time to consider merging in the layers branch and giving everyone access to the ROI* layers.

@fmassa
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fmassa commented Jan 8, 2019

Hi,

Yes, we will be cutting a new release soon, it's been a while!

@varunagrawal I'm thinking about making the layers be part of 0.3, which would be the next release of torchvision.

@Oktai15
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Oktai15 commented Jan 8, 2019

@fmassa oh, it means that layers branch will be merged into master in nearest release?

It would be really great for any object detection task! Will wait :)

@fmassa
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fmassa commented Jan 8, 2019

Yes, we plan on having other domains as well outside of image classification for 0.3.

@TheCodez
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TheCodez commented Jan 8, 2019

It would be nice if the GPU version of NMS from maskrcnn-benchmark gets added as well.

@Oktai15
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Oktai15 commented Jan 8, 2019

@TheCodez nms is already in layers, isn't it?

@TheCodez
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TheCodez commented Jan 8, 2019

@Oktai15 only the CPU version is, the GPU version is not implemented yet.

@fmassa
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fmassa commented Jan 9, 2019

There is a CUDA implementation of nms in maskrcnn-benchmark that I plan to add to torchvision as well.

@varunagrawal
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@fmassa I can add the GPU nms over the weekend. In the meantime, can we work out a plan for the new release? Right now, the timelines seem kind of vague and that seems to be rustling feathers.

@fmassa
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fmassa commented Jan 22, 2019

@varunagrawal I'm writing a plan for v0.3 as we speak, and I'll share it here once it's ready.

About the GPU nms, we have it implemented in maskrcnn-benchmark, so I will just port it over from there I believe

@varunagrawal
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varunagrawal commented Jan 25, 2019

@fmassa @TheCodez GPU version of NMS has been added to layers via #727

I rebased the latest master so you'll see merge conflicts with vision/layers but this would make merge to master a lot easier for you.

@stas00
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stas00 commented Feb 17, 2019

Another vote for a new release, currently getting:
/lib/python3.7/site-packages/torchvision/models/squeezenet.py:94: UserWarning: nn.init.kaiming_uniform is now deprecated in favor of nn.init.kaiming_uniform_. init.kaiming_uniform(m.weight.data) /lib/python3.7/site-packages/torchvision/models/squeezenet.py:92: UserWarning: nn.init.normal is now deprecated in favor of nn.init.normal_. init.normal(m.weight.data, mean=0.0, std=0.01)
which is fixed in master. Please and thank you!

@fmassa
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fmassa commented Feb 18, 2019

@stas00 sure! I'm writing the release notes for the new release, sorry for the delay!

@surgan12
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surgan12 commented Mar 9, 2019

@timonbimon this can be closed with the release of 0.2.3.

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