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Created on 2020-12-02 06:23 by dkostecki, last changed 2022-04-11 14:59 by admin. This issue is now closed.
| Messages (2) | |||
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| msg382294 - (view) | Author: Daniel Kostecki (dkostecki) | Date: 2020-12-02 06:23 | |
torch.nn.functional.nll_loss returns Tensor objects which contain a loss value as well as a grad_fn object. Pickle does not throw an exception when serializing (dumps) the Tensor object. When loading (loads) the serialized data, the grad_fn object is lost and it becomes a requires_grad object. However, if one attempts to serialize the grad_fn object encapsulated in the Tensor object, Pickle then throws a TypeError (TypeError: cannot pickle 'NllLossBackward' object). This behavior seems inconsistent. Perhaps serialization of NllLossBackward objects should be supported or their encapsulating Tensors should also throw a TypeError. This behavior should be easily reproducible. |
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| msg382295 - (view) | Author: Serhiy Storchaka (serhiy.storchaka) *  |
Date: 2020-12-02 06:27 | |
Torch is not the part of the standard Python library. Please file the report on the Torch bug tracker. |
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| History | |||
|---|---|---|---|
| Date | User | Action | Args |
| 2022-04-11 14:59:38 | admin | set | github: 86696 |
| 2020-12-02 06:27:14 | serhiy.storchaka | set | status: open -> closed nosy: + serhiy.storchaka messages: + msg382295 resolution: third party stage: resolved |
| 2020-12-02 06:23:16 | dkostecki | create | |