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[Example] Training offloading service #330
[Example] Training offloading service #330
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📝 TAOS-CI Version: 1.5.20200925. Thank you for submitting PR #330. Please a submit 1commit/1PR (one commit per one PR) policy to get comments quickly from reviewers. Your PR must pass all verificiation processes of cibot before starting a review process from reviewers. If you are new member to join this project, please read manuals in documentation folder and wiki page. In order to monitor a progress status of your PR in more detail, visit http://ci.nnstreamer.ai/. |
cibot: @songgot, Tizen.platform/training_offloading_service/main.c does not include Doxygen tags such as @file @brief @author @bug. You must include the Doxygen tags in the source code. Please refer to a Doxygen manual at http://github.com/nnstreamer/TAOS-CI/blob/main/ci/doc/doxygen-documentation.md |
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cibot: @songgot, Tizen.platform/training_offloading_service/main.c does not include Doxygen tags such as @file @brief @author @bug. You must include the Doxygen tags in the source code. Please refer to a Doxygen manual at http://github.com/nnstreamer/TAOS-CI/blob/main/ci/doc/doxygen-documentation.md |
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cibot: @songgot, Tizen.platform/training_offloading_service/main.c does not include Doxygen tags such as @file @brief @author @bug. You must include the Doxygen tags in the source code. Please refer to a Doxygen manual at http://github.com/nnstreamer/TAOS-CI/blob/main/ci/doc/doxygen-documentation.md |
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@songgot, 💯 All CI checkers are successfully verified. Thanks.
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- This app uses ml service APIs - You must run the receiver first with receiver.conf for the sender to work Signed-off-by: hyunil park <[email protected]>
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@songgot, 💯 All CI checkers are successfully verified. Thanks.
void | ||
reset_menu_status (void) | ||
{ | ||
g_menu_state = CURRENT_STATUS_MAINMENU; |
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LGTM, let's fix local coding rule - indent using gst-indent tool.
@@ -0,0 +1,274 @@ | |||
--- | |||
title: On device AI training offloading service example | |||
... |
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Great!
This app uses ml service APIs
To test service and develop tensor_trainer and trainer subplugin stop function.