Comments (5)
rolled back the badge until the other one works.
I don't want to add unnecessary friction or mistrust at this stage in the project. If the other badge works, then great. Otherwise we'll keep doing it manually.
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Then I would move the badge image to the docs folder...
from lightning.
Pls have look at the parameters codecov --help
I guess that you need to specify the commit or something like this... unfortunately I was using automatic mode for most of my project so this is a bit new for me... Also, we can ask Codecov support for advice...
from lightning.
ok. in the meantime let’s roll back to the original badge. this is critical during the early adoption period.
once the auto thing is figured out we can roll back
from lightning.
i’ll try one more time from master. maybe i have to run codecov on master and push directly. if that fails, we use the old static badge.
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Related Issues (20)
- Unable to extend FSDPStrategy to HPU accelerator HOT 7
- SaveConfigCallback.save_config is conflict with DDP HOT 1
- Logging Documentation Does not Detail How to Access the Logged Values during the fit loop
- Apply the ignore of the save_hyperparameters function to args as well.
- Cannot run in SLURM Interactive Session
- Resume from mid steps inside an epoch
- `DDPStrategy` fails when using accelerators other than CUDA
- PyTorch Lightning with T5 Model - RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn HOT 1
- Script freezes when Trainer is instantiated
- Sanitize object params before they get logged from argument-free classes
- Support GAN based model training with deepspeed which need to setup fabric twice HOT 2
- IndexError: Pytorch-lightning CompositionalMetric require tensor.item() if dim=0 whether I did so
- Huge metrics jump between epochs && Step and epoch log not matched, when accumulate_grad_batches > 1
- Does `fabric.save()` save on rank 0? HOT 3
- Turn off hpc checkpoint saving in SLURM environment if trainer.fit(..., ckpt_path="last") HOT 3
- DDP strategy doesn't work for on_validation_epoch_end, always hang HOT 4
- TensorBoardLogger does not document .add_image() function
- Passing a dataloader to save_hyperparams hangs trainer.fit
- If saved_for_backward returns NumberProxy, the value is taken from compile time, not runtime. HOT 1
- logged images are not showing up in tensorboard images.
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