vanvalenlab / deepcell-tf / 835
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DEFAULT BRANCH: master
Ran
Jobs 6
Files 240
Run time 17min
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willgraf 
Added convolutional recurrent GRU layers (#278)

* Added convolutional recurrent GRU layers and unit tests.

* Use built-in `DroputRNNCellMixin` for dropout functions.

* Removed reset dropout calls from `call()`.

162 of 162 new or added lines in 2 files covered. (100.0%)

22520 of 30290 relevant lines covered (74.35%)

4.36 hits per line

New Missed Lines in Diff

Lines Coverage ∆ File
3
98.13
 deepcell/layers/convolutional_recurrent.py

Uncovered Existing Lines

Lines Coverage ∆ File
2
56.42
 -0.5% deepcell/image_generators/tracking.py
Jobs
ID Job ID Ran Files Coverage
1 835.1 (TF_VERSION=1.14.0) 48
74.35
 Travis Job 835.1
2 835.2 (TF_VERSION=1.14.0) 48
74.35
 Travis Job 835.2
3 835.3 (TF_VERSION=1.14.0) 48
74.35
 Travis Job 835.3
4 835.4 (TF_VERSION=1.15.0) 48
70.86
 Travis Job 835.4
5 835.5 (TF_VERSION=1.15.0) 48
70.86
 Travis Job 835.5
6 835.6 (TF_VERSION=1.15.0) 48
70.86
 Travis Job 835.6
Source Files on build 835