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implementation of logaddexp in openvino backend (issue #29489)
I implemented the numpy logaddexp function in openvino backend using functions already coded in this file. The tests seem to pass, but maybe implementing logaddexp from zero without using the openvino numpy functions would be more effective. @rkazants could you review the PR ?
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Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Project coverage is 82.61%. Comparing base (
55adc57) to head (433bb34). Report is 2 commits behind head on master.
Additional details and impacted files
@@ Coverage Diff @@
## master #21216 +/- ##
==========================================
+ Coverage 82.60% 82.61% +0.01%
==========================================
Files 564 564
Lines 54404 54454 +50
Branches 8460 8467 +7
==========================================
+ Hits 44938 44986 +48
- Misses 7391 7395 +4
+ Partials 2075 2073 -2
| Flag | Coverage Δ | |
|---|---|---|
| keras | 82.42% <100.00%> (+0.01%) |
:arrow_up: |
| keras-jax | 63.74% <0.00%> (-0.01%) |
:arrow_down: |
| keras-numpy | 58.86% <0.00%> (-0.01%) |
:arrow_down: |
| keras-openvino | 32.96% <100.00%> (+<0.01%) |
:arrow_up: |
| keras-tensorflow | 64.14% <0.00%> (-0.01%) |
:arrow_down: |
| keras-torch | 63.81% <0.00%> (-0.02%) |
:arrow_down: |
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do NOT merge!!!
This PR is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.
This was implemented by https://github.com/keras-team/keras/pull/21522