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Adding support for distributed TensorFlow. #14

Merged
merged 17 commits into from Feb 22, 2017
Merged

Adding support for distributed TensorFlow. #14

merged 17 commits into from Feb 22, 2017

Commits on Feb 18, 2017

  1. Adding support for distributed TensforFlow.

    @vicaire
    vicaire committed Feb 18, 2017
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  2. Readding the Training GAP to the summary.

    @vicaire
    vicaire committed Feb 18, 2017
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  3. Fixed the command-line example for frame-level training jobs.

    @natsev
    natsev committed Feb 18, 2017
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  4. Fixed a typo in the frame-level training job example.

    @natsev
    natsev committed Feb 18, 2017
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  5. Increase the epsilon value in the cross entropy implementation to try to 

    avoid NaNs.
    @LeegleechN
    LeegleechN committed Feb 18, 2017
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  6. Merge branch 'master' of github.com:google/youtube-8m

    @LeegleechN
    LeegleechN committed Feb 18, 2017
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Commits on Feb 19, 2017

  1. Mention python 2.7.x requirement.

    @LeegleechN
    LeegleechN committed Feb 19, 2017
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  2. A bias term is unnecessary for the gating softmax.

    @LeegleechN
    LeegleechN committed Feb 19, 2017
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  3. Point people to the model implementations instead of models.py, which 

    isn't informative anymore.
    @LeegleechN
    LeegleechN committed Feb 19, 2017
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Commits on Feb 20, 2017

  1. Use test set instead of validate for local inference command.

    @sobinp @LeegleechN
    sobinp authored and LeegleechN committed Feb 20, 2017
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Commits on Feb 21, 2017

  1. Add support for Python3.

    @cesposo @LeegleechN
    cesposo authored and LeegleechN committed Feb 21, 2017
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  2. Changed several xrange to range, as per Python 3 specifications, also… 

    … on line 149 of average_precision_calculator.py from list type to zip-type again as per Python 3 changes (#17)
    @cesposo @LeegleechN
    cesposo authored and LeegleechN committed Feb 21, 2017
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  3. Remove dependency on the "future" package.

    @LeegleechN
    LeegleechN committed Feb 21, 2017
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  4. Update readme to mention Python3 support.

    @LeegleechN
    LeegleechN committed Feb 21, 2017
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  5. Fixing a bug that prevents Tensorflow operations to be allocated to m… 

    …ultiple parameter servers.

This CR also contains a couple changes to explicitely specify some default parameters to increase readability.
    @vicaire
    vicaire committed Feb 21, 2017
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Commits on Feb 22, 2017

  1. Improving the description for the flag 'log_device_placement'.

    @vicaire
    vicaire committed Feb 22, 2017
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  2. Merge remote-tracking branch 'upstream/master' into distributed

    @vicaire
    vicaire committed Feb 22, 2017
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