pytorch/docs
Ke Wen 3090667cf9 [pipelining] pipeline() taking microbatch as example input (#128163)
Changed the API of `pipeline()` to take microbatch instead of full batch as example args.

Main purpose is to:
- make this API more atomic;
- decouple tracing frontend from runtime info like `num_chunks`.

Side effects:
- Creates opportunity for varying `num_chunks` of schedules with the same `pipe` object.
- User has to create example microbatch input.
- Chunk spec stuff are now all moved to runtime side.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/128163
Approved by: https://github.com/H-Huang
2024-06-07 15:51:53 +00:00
..
caffe2 Enable UFMT on a bunch of low traffic Python files outside of main files (#106052) 2023-07-27 01:01:17 +00:00
cpp Update Jinja to 3.1.3 (#124976) 2024-04-26 02:57:55 +00:00
source [pipelining] pipeline() taking microbatch as example input (#128163) 2024-06-07 15:51:53 +00:00
.gitignore
libtorch.rst Replace master with main in links and docs/conf.py (#100176) 2023-05-02 18:20:32 +00:00
make.bat
Makefile Refactor torch.onnx documentation (#108379) 2023-09-08 18:23:48 +00:00
README.md
requirements.txt update requirements.txt in /docs (#101092) 2023-05-12 03:19:36 +00:00

Please see the Writing documentation section of CONTRIBUTING.md for details on both writing and building the docs.