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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
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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