Where communities thrive


  • Join over 1.5M+ people
  • Join over 100K+ communities
  • Free without limits
  • Create your own community
People
Activity
    Vinitra Swamy
    @vinitra
    Next SIG meeting slated for the afternoon (1 PM) of Monday, April 13th, after the ONNX workshop on April 9th. Let me know if the proposed time needs to be changed. Sign up for the online onnx workshop here: https://events.linuxfoundation.org/lf-ai-day-onnx-community-virtual-meetup/
    Alex Merritt
    @EmergentOrder
    @vinitra I'm on the community meetup, it was mentioned earlier that the models repo has added GPT-2 & NCF (Neural Collaborative Filtering) since the last release. I found GPT-2, nice to have that. I don't see anything but the stub for NCF though, is there WIP there or was that a mistake?
    Sree Vaddi
    @sreev
    hi
    @prasanthpul adding checksum , adding additional layer of security doesn't hurt. but is it valid , though ?
    a better checksum can be, imho:
    validity of the data used in making the model.
    validity of model itself.
    Sree Vaddi
    @sreev
    eg. download a picture of acquarium , use this against this model, it should identify 90% of the fish ?
    or on that lines...
    Vinitra Swamy
    @vinitra
    @EmergentOrder Hi Alex. I highlighted the Fast Neural Style Transfer and Super Resolution models in addition to GPT-2 during the ONNX workshop. I'm not aware of work on NCF currently, although we always welcome contributions! Which talk mentioned it?
    Vinitra Swamy
    @vinitra

    @/all The next SIG meeting has been moved to this Monday, 4/13 at 2 - 2:30 PM PST. Hope to see you all there.

    Topic: Model Zoo + Tutorials Meeting #3
    Time: Apr 13, 2020 02:00 PM Pacific Time (US and Canada)

    https://zoom.us/j/341887317
    Meeting ID: 341 887 317

    Alex Merritt
    @EmergentOrder
    @vinitra It was in the update at the beginning, I guess they must have confused NCF and Fast Neural Style Transfer. no worries, just wanted to clarify that
    Vinitra Swamy
    @vinitra
    Reminder -- meeting today at 2! We're tracking several issues here, would love community input on these topics (opset versioning, model zoo CI, github analytics): https://github.com/onnx/sigs/issues
    1 reply
    Zhipeng Huang
    @hannibalhuang
    quick question, any specific reason the modelzoo is licensed under MIT instead of Apache or BSD ?
    Vinitra Swamy
    @vinitra
    @hannibalhuang Some models are contributed by users / companies who prefer a specific license -- you will see a variety of licenses throughout the zoo. Do you have a preference? We can look into standardization.
    Prasanth Pulavarthi
    @prasanthpul
    everything in ONNX is under MIT license for usage, with a CLA for contributions. with the move to LF AI, we will be moving to Apache 2.0 license with DCO for contributions (announced at recent workshop).
    daquexian
    @daquexian
    Hi, I think the resnetv1 onnx model in model zoo https://github.com/onnx/models/tree/master/vision/classification/resnet is wrong. The spatial attr of batchnorm is incorrectly set to 0 and as a result an error is raised when running this model in onnxruntime
    Vinitra Swamy
    @vinitra
    Hi @daquexian -- yes, that's a known issue! Thanks for reminding us. I fixed this on the MXNet exporter side: apache/incubator-mxnet#17711 a few weeks ago, but forgot to update the models. Will make a PR shortly.
    Vinitra Swamy
    @vinitra
    Zhipeng Huang
    @hannibalhuang
    @prasanthpul does it mean Apache also applied to modelzoo ? I've been doing some research on modelzoo licensing but it seems like there is no common practice
    Michał Karzyński
    @postrational
    There seem to be some malformed tar files in the onnx/models LFS archives:
    $ wget https://media.githubusercontent.com/media/onnx/models/master/vision/classification/resnet/model/resnet101-v1-7.tar.gz
    --2020-05-21 15:48:44--  https://media.githubusercontent.com/media/onnx/models/master/vision/classification/resnet/model/resnet101-v1-7.tar.gz
    Proxy request sent, awaiting response... 200 OK
    Length: 167595867 (160M) [application/octet-stream]
    Saving to: ‘resnet101-v1-7.tar.gz’
    
    resnet101-v1-7.tar.gz  100%[===========================================>] 159.83M  5.29MB/s    in 24s
    
    $ tar -xzvf resnet101-v1-7.tar
    x resnet101v1/
    x resnet101v1/resnet101-v1.onnx
    x resnet101v1/test_data_set_0/
    x resnet101v1/test_data_set_0/._input_0.pb
    x resnet101v1/test_data_set_0/._output_0.pb
    x resnet101v1/test_data_set_0/input_0.pb
    x resnet101v1/test_data_set_0/output_0.pb
    tar: Ignoring malformed pax extended attributeIgnoring malformed pax extended attributeIgnoring malformed pax extended attribute
    x resnet101v1/test_data_set_1/
    x resnet101v1/test_data_set_1/._input_0.pb
    x resnet101v1/test_data_set_1/._output_0.pb
    x resnet101v1/test_data_set_1/input_0.pb
    x resnet101v1/test_data_set_1/output_0.pb
    tar: Ignoring malformed pax extended attributeIgnoring malformed pax extended attributeIgnoring malformed pax extended attribute
    x resnet101v1/test_data_set_2/
    x resnet101v1/test_data_set_2/._input_0.pb
    x resnet101v1/test_data_set_2/._output_0.pb
    x resnet101v1/test_data_set_2/input_0.pb
    x resnet101v1/test_data_set_2/output_0.pb
    tar: Damaged tar archive
    tar: Error exit delayed from previous errors.
    Michał Karzyński
    @postrational
    It seems that all of these models have malformed tar files (most ResNet models):
    onnx/models/master/vision/classification/resnet/model/resnet101-v1-7.tar.gz
    onnx/models/master/vision/classification/resnet/model/resnet101-v2-7.tar.gz
    onnx/models/master/vision/classification/resnet/model/resnet152-v1-7.tar.gz
    onnx/models/master/vision/classification/resnet/model/resnet152-v2-7.tar.gz
    onnx/models/master/vision/classification/resnet/model/resnet18-v2-7.tar.gz
    onnx/models/master/vision/classification/resnet/model/resnet34-v1-7.tar.gz
    onnx/models/master/vision/classification/resnet/model/resnet34-v2-7.tar.gz
    onnx/models/master/vision/classification/resnet/model/resnet50-v1-7.tar.gz
    onnx/models/master/vision/classification/resnet/model/resnet50-v2-7.tar.gz
    Michał Karzyński
    @postrational
    I created an issue to track this: onnx/models#309
    @vinitra Could you take a look?
    Vinitra Swamy
    @vinitra
    Addressed in recent PR onnx/models#312. Thanks for the bug report @postrational.

    Next meeting will be mid-June! Some quick updates --

    Reviews and community contributions are encouraged and welcome. :)

    Vinitra Swamy
    @vinitra
    Next SIG meeting - Monday, June 15, 1 - 1:30 PM PST. Looking forward to seeing you there! https://zoom.us/j/96099632051
    2 replies
    kumariKambham
    @kumariKambham
    Hi, I am new to this . Can you help me ?
    8 replies
    kumariKambham
    @kumariKambham
    Hi, Is there any possibilities to learn ML with python
    1 reply
    Vinitra Swamy
    @vinitra
    Lots of exciting new updates in the Model Zoo! Next meeting will be Friday, August 14th from 11 - 11:30 AM PST. See you there! https://zoom.us/j/97523672358
    Vinitra Swamy
    @vinitra
    Next Model Zoo SIG meeting will be Friday, Sept 25th at 10:30 AM - 11 AM PST! A few updates -- I'll be leaving for a PhD program in Switzerland, so I'm handing off the SIG lead role to Wenbing Li, the top contributor to the ONNX converters effort. We're also looking for a co-lead for this SIG. Contact the ONNX steering committee if interested.
    3 replies
    Harry Kim
    @harryskim
    We are migrating Gitter conversations to Slack. Please sign up for LF AI slack using https://slack.lfai.foundation/ and join "onnx-modelzoo" channel for the model zoo SIG (https://lfaifoundation.slack.com/archives/C018RE2BRBL).
    Prasanth Pulavarthi
    @prasanthpul
    posting in all channels:
    ONNX will be switching to the Apache 2.0 license by the end of this month. Instead of signing a CLA, contributors need to provide a DCO (developer certificate of origin). This is done by including a sign-off-by line in commit messages. Using the “-s” flag for “git commit” will automatically append this line. For example, running “git commit -s -m ‘commit info.’” it will produce a commit that has the message “commit info. Signed-off-by: First Last email@company.com”. The DCO bot will ensure commits are signed with an email address that matches the commit author before they are eligible to be merged.