Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Dear sebb, The issues are fixed. Thank you, Moaz On Fri, Jun 22, 2018 at 11:41 AM sebb wrote: > I'm afraid there are still issues. > > Download pages must only link to formal releases, so must not include > links to GitHub. > Such links belong on developer-facing pages. > > Links to KEYS, sigs and hashes must not use dist.apache.org; instead > use https://www.apache.org/dist/incubator/singa/... > > The instructions for verifying a signature are confusing as there is a > missing new-line. > >
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
On 21 June 2018 at 11:34, Moaz Reyad wrote: > Dear Craig and sebb, > > Thank you. The download page is fixed now. I'm afraid there are still issues. Download pages must only link to formal releases, so must not include links to GitHub. Such links belong on developer-facing pages. Links to KEYS, sigs and hashes must not use dist.apache.org; instead use https://www.apache.org/dist/incubator/singa/... The instructions for verifying a signature are confusing as there is a missing new-line. > Best regards, > Moaz > > On Fri, Jun 15, 2018 at 5:14 PM sebb wrote: > >> Also you only need one KEYS link, and there should be a description of >> how to use KEYS + sig or hash to verify the downloads. >> >> On 15 June 2018 at 14:12, Craig Russell wrote: >> > Dear Singa project, >> > >> > Please update your download page to add links to the ASC signature files >> for each of the artifacts. >> > >> > Regards, >> > >> > Craig >> > >> >> On Jun 14, 2018, at 6:51 PM, Moaz Reyad wrote: >> >> >> >> We are pleased to announce that SINGA (incubating) 1.2.0 is released. >> >> >> >> SINGA is a general distributed deep learning platform for training big >> deep >> >> learning models over large datasets. It is designed with an intuitive >> >> programming model based on the layer abstraction. SINGA supports a wide >> >> variety of popular deep learning models. >> >> >> >> The release is available at: >> >> http://singa.apache.org/en/downloads.html >> >> >> >> The main features of this release include: >> >> >> >> -Implement autograd (currently support MLP model) >> >> -Upgrade PySinga to support Python 3 >> >> -Improve the Tensor class with the stride field >> >> -Upgrade cuDNN from V5 to V7 >> >> -Add VGG, Inception V4, ResNet, and DenseNet for ImageNet >> classification >> >> -Create alias for conda packages >> >> -Complete documentation in Chinese >> >> -Add instructions for running SINGA on Windows >> >> -Update the compilation, CI >> >> >> >> We look forward to hearing your feedback, suggestions and contributions >> to >> >> the project. >> >> >> >> On behalf of the SINGA team, >> >> Moaz Reyad >> > >> > Craig L Russell >> > c...@apache.org >> > >> > >> > - >> > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org >> > For additional commands, e-mail: general-h...@incubator.apache.org >> > >> - To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Dear Craig and sebb, Thank you. The download page is fixed now. Best regards, Moaz On Fri, Jun 15, 2018 at 5:14 PM sebb wrote: > Also you only need one KEYS link, and there should be a description of > how to use KEYS + sig or hash to verify the downloads. > > On 15 June 2018 at 14:12, Craig Russell wrote: > > Dear Singa project, > > > > Please update your download page to add links to the ASC signature files > for each of the artifacts. > > > > Regards, > > > > Craig > > > >> On Jun 14, 2018, at 6:51 PM, Moaz Reyad wrote: > >> > >> We are pleased to announce that SINGA (incubating) 1.2.0 is released. > >> > >> SINGA is a general distributed deep learning platform for training big > deep > >> learning models over large datasets. It is designed with an intuitive > >> programming model based on the layer abstraction. SINGA supports a wide > >> variety of popular deep learning models. > >> > >> The release is available at: > >> http://singa.apache.org/en/downloads.html > >> > >> The main features of this release include: > >> > >> -Implement autograd (currently support MLP model) > >> -Upgrade PySinga to support Python 3 > >> -Improve the Tensor class with the stride field > >> -Upgrade cuDNN from V5 to V7 > >> -Add VGG, Inception V4, ResNet, and DenseNet for ImageNet > classification > >> -Create alias for conda packages > >> -Complete documentation in Chinese > >> -Add instructions for running SINGA on Windows > >> -Update the compilation, CI > >> > >> We look forward to hearing your feedback, suggestions and contributions > to > >> the project. > >> > >> On behalf of the SINGA team, > >> Moaz Reyad > > > > Craig L Russell > > c...@apache.org > > > > > > - > > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org > > For additional commands, e-mail: general-h...@incubator.apache.org > > >
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Also you only need one KEYS link, and there should be a description of how to use KEYS + sig or hash to verify the downloads. On 15 June 2018 at 14:12, Craig Russell wrote: > Dear Singa project, > > Please update your download page to add links to the ASC signature files for > each of the artifacts. > > Regards, > > Craig > >> On Jun 14, 2018, at 6:51 PM, Moaz Reyad wrote: >> >> We are pleased to announce that SINGA (incubating) 1.2.0 is released. >> >> SINGA is a general distributed deep learning platform for training big deep >> learning models over large datasets. It is designed with an intuitive >> programming model based on the layer abstraction. SINGA supports a wide >> variety of popular deep learning models. >> >> The release is available at: >> http://singa.apache.org/en/downloads.html >> >> The main features of this release include: >> >> -Implement autograd (currently support MLP model) >> -Upgrade PySinga to support Python 3 >> -Improve the Tensor class with the stride field >> -Upgrade cuDNN from V5 to V7 >> -Add VGG, Inception V4, ResNet, and DenseNet for ImageNet classification >> -Create alias for conda packages >> -Complete documentation in Chinese >> -Add instructions for running SINGA on Windows >> -Update the compilation, CI >> >> We look forward to hearing your feedback, suggestions and contributions to >> the project. >> >> On behalf of the SINGA team, >> Moaz Reyad > > Craig L Russell > c...@apache.org > > > - > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org > For additional commands, e-mail: general-h...@incubator.apache.org > - To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Dear Singa project, Please update your download page to add links to the ASC signature files for each of the artifacts. Regards, Craig > On Jun 14, 2018, at 6:51 PM, Moaz Reyad wrote: > > We are pleased to announce that SINGA (incubating) 1.2.0 is released. > > SINGA is a general distributed deep learning platform for training big deep > learning models over large datasets. It is designed with an intuitive > programming model based on the layer abstraction. SINGA supports a wide > variety of popular deep learning models. > > The release is available at: > http://singa.apache.org/en/downloads.html > > The main features of this release include: > > -Implement autograd (currently support MLP model) > -Upgrade PySinga to support Python 3 > -Improve the Tensor class with the stride field > -Upgrade cuDNN from V5 to V7 > -Add VGG, Inception V4, ResNet, and DenseNet for ImageNet classification > -Create alias for conda packages > -Complete documentation in Chinese > -Add instructions for running SINGA on Windows > -Update the compilation, CI > > We look forward to hearing your feedback, suggestions and contributions to > the project. > > On behalf of the SINGA team, > Moaz Reyad Craig L Russell c...@apache.org - To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org
[ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
We are pleased to announce that SINGA (incubating) 1.2.0 is released. SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. SINGA supports a wide variety of popular deep learning models. The release is available at: http://singa.apache.org/en/downloads.html The main features of this release include: -Implement autograd (currently support MLP model) -Upgrade PySinga to support Python 3 -Improve the Tensor class with the stride field -Upgrade cuDNN from V5 to V7 -Add VGG, Inception V4, ResNet, and DenseNet for ImageNet classification -Create alias for conda packages -Complete documentation in Chinese -Add instructions for running SINGA on Windows -Update the compilation, CI We look forward to hearing your feedback, suggestions and contributions to the project. On behalf of the SINGA team, Moaz Reyad