- 24 Mar, 2021 1 commit
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A. Unique TensorFlower authored
PiperOrigin-RevId: 364722131
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- 23 Mar, 2021 9 commits
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Austin Myers authored
PiperOrigin-RevId: 364671967
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Hongkun Yu authored
PiperOrigin-RevId: 364634581
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Le Hou authored
PiperOrigin-RevId: 364625895
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A. Unique TensorFlower authored
PiperOrigin-RevId: 364620438
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Yu-hui Chen authored
Updated the single instance postprocessing logics such that it uses the score to distance ratio scoring method. The new logics also avoid using expensive ops, e.g. reduce_max/maximum. PiperOrigin-RevId: 364607976
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Yeqing Li authored
PiperOrigin-RevId: 364488384
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Yeqing Li authored
PiperOrigin-RevId: 364483380
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Fan Yang authored
PiperOrigin-RevId: 364458994
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Yeqing Li authored
PiperOrigin-RevId: 364443016
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- 22 Mar, 2021 10 commits
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Yeqing Li authored
PiperOrigin-RevId: 364433023
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A. Unique TensorFlower authored
PiperOrigin-RevId: 364395434
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Vighnesh Birodkar authored
PiperOrigin-RevId: 364388006
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Poorva Potdar authored
PiperOrigin-RevId: 364378436
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Vighnesh Birodkar authored
PiperOrigin-RevId: 364363163
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A. Unique TensorFlower authored
In current implementation of StandardEvaluator, the iterator of evaluate dataset will go back (actually create a new iterator) to the beginning when evaluate() is called every time. In some case, the iterator need to go ahead forever. So add the new option "recreate_iterator_for_each_eval" to control this behavior. In some case, the iterator creation is time consuming. For example, careting an iterator of distributed dataset for multi worker in eager mode. So it's better to make a repeat dataset instead of recreating an iterator. If "recreate_iterator_for_each_eval" is True, then the iterator will go back; Otherwise, keep going ahead. PiperOrigin-RevId: 364356169
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Vighnesh Birodkar authored
PiperOrigin-RevId: 364349645
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Jeremiah Liu authored
PiperOrigin-RevId: 364328905
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Jeremiah Liu authored
PiperOrigin-RevId: 364226289
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Le Hou authored
PiperOrigin-RevId: 364219111
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- 20 Mar, 2021 2 commits
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Jeremiah Liu authored
PiperOrigin-RevId: 364109398
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A. Unique TensorFlower authored
PiperOrigin-RevId: 364096705
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- 19 Mar, 2021 8 commits
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Ronny Votel authored
PiperOrigin-RevId: 363975731
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Mark Daoust authored
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Pablo Ribalta Lorenzo authored
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Jekaterina Jaroslavceva authored
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thunderfyc authored
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Jaeyoun Kim authored
Change directory for seq_flow_lite
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Vighnesh Birodkar authored
PiperOrigin-RevId: 363794263
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Frederick Liu authored
PiperOrigin-RevId: 363782489
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- 18 Mar, 2021 6 commits
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Jaeyoun Kim authored
Move to .github
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Yeqing Li authored
PiperOrigin-RevId: 363736548
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Vighnesh Birodkar authored
PiperOrigin-RevId: 363700908
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Dana Movshovitz-Attias authored
PiperOrigin-RevId: 363673488
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Frederick Liu authored
PiperOrigin-RevId: 363595377
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Hongkun Yu authored
PiperOrigin-RevId: 363593694
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- 17 Mar, 2021 3 commits
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Chen Chen authored
PiperOrigin-RevId: 363529035
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Yu-hui Chen authored
use case which uses the keypoint location to determine the object center location and heatmap. PiperOrigin-RevId: 363522414
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A. Unique TensorFlower authored
both are tracked in the same bug. PiperOrigin-RevId: 363431367
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- 16 Mar, 2021 1 commit
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Revan Sopher authored
TensorFlow uses a subset of pylint functionality. Script will download the latest pylint rules from the main repo at runtime. Requires `python3.8 -m pip install pylint==2.4.4`. This will eventually be run on-PR in this repo, but first we'll have to fix the ~900 existing violations. Script should be usable manually for now -- call it from within a subdirectory to avoid processing the entire repo.
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