Comments (2)
interesaaat
commented on August 21, 2024
1
Hi @artem-hryb, please look here. I will try to submit a PR soon-ish so that you can start playing with it from the main TorchSharp repo. For the moment I am trying to port the API manually so that I can understand if there is any specific blocker. After that we will look on how to automate the process (suggestions are welcome if you already have some idea on how to achieve this!)
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interesaaat
commented on August 21, 2024
Fixed in PR #80
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Related Issues (20)
- How to set default device type in torchsharp.
- expose lr scheduler fields HOT 4
- Add register_pre_hook and register_hook for generic module class? HOT 3
- How do I turn off these warnings? HOT 17
- `Module.to(Device)` will cause warnings because non-leaf tensors `.grad` is accessed (Also for optimizers) HOT 6
- Linear module creates parameter on cpu even after I set default device to meta HOT 1
- Request tensor factory methods accepting Span<T> HOT 9
- The function torch.cuda.empty_cache() is missing. HOT 6
- Move to libtorch 2.4.0 HOT 1
- Unexpected parameters HOT 11
- MultivariateNormal.log_prob() exception in TorchSharp but works in pytorch HOT 16
- Builds fail after package validation PR merged HOT 2
- Modernize torchsharp infrastructure
- Jagged Array to Tensor HOT 5
- Arrays of Arrays HOT 4
- IterableDataset
- Build failing after merge of PR 1354
- Suppress the API breakchange introduced by PR 1354 and bump up minor version HOT 3
- `torch.nn.functional.l1_loss` computes a criterion with the MSE, not the MAE HOT 6
- MissingMethodException: Method not found: '!!0 TorchSharp.ModuleExtensionMethods.cuda(!!0, Int32)' HOT 8
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