Files
pytorch/caffe2
atannous b469ed72d0 Integrating new API usage metadata logger (#101762)
Summary: The new logger allows passing metadata into the api usage logger. The immediate use case is to pass the serialization_id to the save and load events to be enable tracking serialized models in API events. It could be extended to add more metadata in the future.

Test Plan:
```
buck2 test @//mode/dev //caffe2/caffe2/serialize:inline_container_test
```

Reviewed By: davidberard98

Differential Revision: D45683697

Pull Request resolved: https://github.com/pytorch/pytorch/pull/101762
Approved by: https://github.com/davidberard98
2023-05-26 00:24:26 +00:00
..
2023-04-26 21:48:03 +00:00
2023-01-05 05:11:53 +00:00
2023-01-24 08:19:03 +00:00

Caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.

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