mirror of https://github.com/JDAI-CV/fast-reid.git
add docs for amp training
parent
53fed7451d
commit
57710a9df7
|
@ -4,6 +4,7 @@ FastReID is a research platform that implements state-of-the-art re-identificati
|
|||
|
||||
## What's New
|
||||
|
||||
- [Sep 2020] Automatic Mixed Precision training is supported with pytorch1.6 built-in `torch.cuda.amp`. Set `cfg.SOLVER.AMP_ENABLED=True` to switch it on.
|
||||
- [Aug 2020] [Model Distillation](https://github.com/JDAI-CV/fast-reid/tree/master/projects/DistillReID) is supported, thanks for [guan'an wang](https://github.com/wangguanan)'s contribution.
|
||||
- [Aug 2020] ONNX/TensorRT converter is supported.
|
||||
- [Jul 2020] Distributed training with multiple GPUs, it trains much faster.
|
||||
|
|
Loading…
Reference in New Issue