Gradient checkpointing technique for Model Agnostic Meta Learning
Project description
PyTorch implementation of Model Agnostic Meta Learning with gradient checkpointing. Allows you to perform way (~10-100x) more MAML steps with the same GPU memory budget.
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size torch_maml-1.0.tar.gz (9.7 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
