Comments (2)
The issue requires opening up a method in SyftModel.kt
which saves the syft model state with proper checkpoints.
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Closing in favor of #265
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Related Issues (20)
- Training is being done on few examples rather than whole dataset HOT 2
- There is no model-centric directory in PyGrid commit 0e93aa645a63a02f45ae72b4ff3106c6402dbadf HOT 2
- Accuracy is 0 when trained on two clients HOT 2
- Rewrite README to describe changes in API
- Replace current Rx backoff strategy with Flow
- Find a better name for KTensor HOT 3
- Debugging Torchscript / Plans in Android HOT 1
- Save ReLu activation values in a file HOT 3
- PytorchStreamReader failed reading zip archive: not a ZIP archive HOT 1
- Accurate method to determine the model size HOT 1
- How do I open this project in Android Studio? HOT 1
- Invalid JSON at 31: Encountered an unknown key type HOT 5
- java.lang.NoClassDefFoundError: on Android 6 HOT 1
- TorchScript Module Loading Exception HOT 2
- The README.md is too old, could anyone update this ? HOT 1
- java.lang.IllegalStateException: Cannot re-initialize NativeLoader
- Server side Kotlin Syft
- Error occurred when I try to sync gradle
- Add user input field to provide the version of the training and averaging plans in order to try multiple plans faster. HOT 1
- Batch size gets hard coded when we create Training Plan
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