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featureA request for a proper, new feature.A request for a proper, new feature.module: serializationIssues related to serialization (e.g., via pickle, or otherwise) of PyTorch objectsIssues related to serialization (e.g., via pickle, or otherwise) of PyTorch objectstriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
Description
🚀 The feature, motivation and pitch
- Convenient for pasting directly into repro code/comment on GitHub without attaching other files (also considering severe file extension limitations of GitHub file attachment)
- Currently (at least, some time ago), some properties of Tensors (such as coalesced-ness) might be lost after existing torch.save+torch.load roundtrip, so need a bitwise perfect C++ Tensor object reconstruction with its layout/sparse structures/bitfields/storage/strides for reproducing/demonstrating problems with these, so a concise text-based format (typically for small tensors) would be useful!
Original context and proposal in:
Related on general use of utility for base64 torch.save/torch.load (?) format for repro purposes:
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featureA request for a proper, new feature.A request for a proper, new feature.module: serializationIssues related to serialization (e.g., via pickle, or otherwise) of PyTorch objectsIssues related to serialization (e.g., via pickle, or otherwise) of PyTorch objectstriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module