Comments (1)
Maybe this should be done only when Protocol
s are needed by users.
from carefree-learn.
Related Issues (20)
- Introduce callbacks to `Trainer`
- Enhance `LossBase`
- Make sure that models are always in eval mode in inference
- Support specifying `resource_config` of `Parallel` in `Experiment`
- Try to accelerate `DNDF` with `Function`
- Text fields support? HOT 8
- Depend `batch_size` on dataset size
- Plateau monitoring should depend on running mean HOT 1
- Should log checkpoints earlier when using `warmup`
- Support `use_final_bn` in `FCNNHead`
- Fix `cflearn.deepspeed`
- Try to support customizing `Pipeline`.
- Newly registered models could not be used in distributed training.
- Support directly registering an `nn.Module`
- Beautify `tqdm` display in distributed training.
- Add unittest for #78
- Bugs may occur when ctrl+c at inference stage.
- nb HOT 1
- Examples won't run HOT 2
- What version is working? HOT 2
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from carefree-learn.