Add unload method to module #12984
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Add unload method to module #12984
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/12984
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 0863ed6 with merge base d4c78ab ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Summary: We would like to do grid search on device when training the model, ideally we can unload/load the model weights after trained with each specific hyperparameter set. Differential Revision: D79184972
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Summary: We would like to do grid search on device when training the model, ideally we can unload/load the model weights after trained with each specific hyperparameter set. Differential Revision: D79184972
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Summary: Pull Request resolved: pytorch#12984 We would like to do grid search on device when training the model, ideally we can unload/load the model weights after trained with each specific hyperparameter set. Reviewed By: shoumikhin Differential Revision: D79184972
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Summary: We would like to do grid search on device when training the model, ideally we can unload/load the model weights after trained with each specific hyperparameter set. Reviewed By: shoumikhin Differential Revision: D79184972
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Summary: We would like to do grid search on device when training the model, ideally we can unload/load the model weights after trained with each specific hyperparameter set. Reviewed By: shoumikhin Differential Revision: D79184972
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Summary: We would like to do grid search on device when training the model, ideally we can unload/load the model weights after trained with each specific hyperparameter set. Reviewed By: shoumikhin Differential Revision: D79184972
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Summary: We would like to do grid search on device when training the model, ideally we can unload/load the model weights after trained with each specific hyperparameter set. Reviewed By: shoumikhin Differential Revision: D79184972
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Summary: We would like to do grid search on device when training the model, ideally we can unload/load the model weights after trained with each specific hyperparameter set. Reviewed By: shoumikhin Differential Revision: D79184972
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Differential Revision: D79184972 Pull Request resolved: pytorch#12984
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Summary: We would like to do grid search on device when training the model, ideally we can unload/load the model weights after trained with each specific hyperparameter set.
Differential Revision: D79184972