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[pytorch] Revert InstanceHolder for PyTorch engine #2876
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Codecov ReportAttention:
❗ Your organization needs to install the Codecov GitHub app to enable full functionality. Additional details and impacted files@@ Coverage Diff @@
## master #2876 +/- ##
============================================
+ Coverage 72.08% 72.31% +0.22%
- Complexity 5126 7165 +2039
============================================
Files 473 708 +235
Lines 21970 31919 +9949
Branches 2351 3315 +964
============================================
+ Hits 15838 23083 +7245
- Misses 4925 7255 +2330
- Partials 1207 1581 +374 ☔ View full report in Codecov by Sentry. |
tosterberg
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Nov 26, 2023
zachgk
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fixes deepjavalibrary#2875 reverts deepjavalibrary#2876 This adds new support for DJL manual initialization of engines to support `DJL_ENGINE_MANUAL_INIT`. Once done, no engines providers will be found or loaded on startup. Instead, they can be added manually by: ```java PtEngineProvider provider = new PtEngineProvider(); provider.getEngine(); // Optional, throws exception if the provider can not load Engine.registerEngine(provider); Engine.setDefaultEngine(provider.getEngineName()); // Optional, sets as default ```
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* Creates DJL manual engine initialization fixes #2875 reverts #2876 This adds new support for DJL manual initialization of engines to support `DJL_ENGINE_MANUAL_INIT`. Once done, no engines providers will be found or loaded on startup. Instead, they can be added manually by: ```java PtEngineProvider provider = new PtEngineProvider(); provider.getEngine(); // Optional, throws exception if the provider can not load Engine.registerEngine(provider); Engine.setDefaultEngine(provider.getEngineName()); // Optional, sets as default ``` * Revert "[tensorflow] Revert InstanceHolder for TensorFlow engine (#2884)" This reverts commit 586bb07. * Revert "[api] Replace double-check singlton with lazy initialization (#2826)" This reverts commit 3927867. * Make engines initialized This makes several updates: - engines will now initialize once per instance of EngineProvider rather than re-attempt to initialize - Registering an engine can overwrite the existing one - All engines now use the synchronized form rather than the static instance holder. This allows them to have multiple versions and be local to the instance rather than global (but the instance is saved globally) * Throws Exception on bad getEngine * Removes unnecessary check
frankfliu
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frankfliu
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Apr 26, 2024
* Creates DJL manual engine initialization fixes #2875 reverts #2876 This adds new support for DJL manual initialization of engines to support `DJL_ENGINE_MANUAL_INIT`. Once done, no engines providers will be found or loaded on startup. Instead, they can be added manually by: ```java PtEngineProvider provider = new PtEngineProvider(); provider.getEngine(); // Optional, throws exception if the provider can not load Engine.registerEngine(provider); Engine.setDefaultEngine(provider.getEngineName()); // Optional, sets as default ``` * Revert "[tensorflow] Revert InstanceHolder for TensorFlow engine (#2884)" This reverts commit 586bb07. * Revert "[api] Replace double-check singlton with lazy initialization (#2826)" This reverts commit 3927867. * Make engines initialized This makes several updates: - engines will now initialize once per instance of EngineProvider rather than re-attempt to initialize - Registering an engine can overwrite the existing one - All engines now use the synchronized form rather than the static instance holder. This allows them to have multiple versions and be local to the instance rather than global (but the instance is saved globally) * Throws Exception on bad getEngine * Removes unnecessary check
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Fixes: #2875
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