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Posted to dev@singa.apache.org by Moaz Reyad <mo...@apache.org> on 2018/06/15 01:51:15 UTC
[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
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Posted by Moaz Reyad <mo...@apache.org>.
Dear sebb,
The issues are fixed.
Thank you,
Moaz
On Fri, Jun 22, 2018 at 11:41 AM sebb <se...@gmail.com> 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
Posted by Moaz Reyad <mo...@apache.org>.
Dear sebb,
The issues are fixed.
Thank you,
Moaz
On Fri, Jun 22, 2018 at 11:41 AM sebb <se...@gmail.com> 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
Posted by sebb <se...@gmail.com>.
On 21 June 2018 at 11:34, Moaz Reyad <mo...@gmail.com> 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 <se...@gmail.com> 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 <ap...@gmail.com> 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 <mo...@apache.org> 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
>> > clr@apache.org
>> >
>> >
>> > ---------------------------------------------------------------------
>> > To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
>> > For additional commands, e-mail: general-help@incubator.apache.org
>> >
>>
---------------------------------------------------------------------
To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
For additional commands, e-mail: general-help@incubator.apache.org
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Posted by sebb <se...@gmail.com>.
On 21 June 2018 at 11:34, Moaz Reyad <mo...@gmail.com> 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 <se...@gmail.com> 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 <ap...@gmail.com> 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 <mo...@apache.org> 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
>> > clr@apache.org
>> >
>> >
>> > ---------------------------------------------------------------------
>> > To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
>> > For additional commands, e-mail: general-help@incubator.apache.org
>> >
>>
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Posted by Moaz Reyad <mo...@gmail.com>.
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 <se...@gmail.com> 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 <ap...@gmail.com> 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 <mo...@apache.org> 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
> > clr@apache.org
> >
> >
> > ---------------------------------------------------------------------
> > To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> > For additional commands, e-mail: general-help@incubator.apache.org
> >
>
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Posted by Moaz Reyad <mo...@gmail.com>.
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 <se...@gmail.com> 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 <ap...@gmail.com> 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 <mo...@apache.org> 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
> > clr@apache.org
> >
> >
> > ---------------------------------------------------------------------
> > To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> > For additional commands, e-mail: general-help@incubator.apache.org
> >
>
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Posted by sebb <se...@gmail.com>.
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 <ap...@gmail.com> 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 <mo...@apache.org> 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
> clr@apache.org
>
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> For additional commands, e-mail: general-help@incubator.apache.org
>
---------------------------------------------------------------------
To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
For additional commands, e-mail: general-help@incubator.apache.org
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Posted by sebb <se...@gmail.com>.
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 <ap...@gmail.com> 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 <mo...@apache.org> 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
> clr@apache.org
>
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> For additional commands, e-mail: general-help@incubator.apache.org
>
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Posted by Craig Russell <ap...@gmail.com>.
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 <mo...@apache.org> 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
clr@apache.org
---------------------------------------------------------------------
To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
For additional commands, e-mail: general-help@incubator.apache.org
Re: [ANNOUNCE] Apache SINGA (incubating) 1.2.0 released
Posted by Craig Russell <ap...@gmail.com>.
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 <mo...@apache.org> 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
clr@apache.org