[Layer] Fix logic: SwiGLU Layer Training Incompatibility #2653
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Currently, the SwiGLU layer using OpenCL operations does not support training/backpropagation. Consequently, we are updating the logic to reflect that it is false. **Self-evaluation:** 1. Build test: [X]Passed [ ]Failed [ ]Skipped 2. Run test: [X]Passed [ ]Failed [ ]Skipped Signed-off-by: Donghyeon Jeong <[email protected]>
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📝 TAOS-CI Version: 1.5.20200925. Thank you for submitting PR #2653. 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/. |
myungjoo
approved these changes
Jun 28, 2024
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Currently, the SwiGLU layer using OpenCL operations does not support training/backpropagation.
Consequently, we are updating the logic to reflect that it is false.
Self-evaluation: