Closed morestart closed 2 years ago
@morestart can you please share some code to reproduce this? And describe what you were trying to log (e.g. what task/data type etc)
Also make sure you are on the latest version of wandb: pip install wandb --upgrade
this is my code @morganmcg1,my wandb version is 0.12.6,This error occurs in epoch 69 now i run a new program,It works well... the error info is too little, i don't know why..
class DetModel(pl.LightningModule):
def forward(self, x):
features = self.encoder(x)
features = self.neck(features)
features = self.head(features)
return features
def training_step(self, batch, batch_idx):
data = batch
output = self.forward(data['img'])
loss_dict = self.loss_func(output, batch)
self.log(name=self.train_loss_name, value=loss_dict['loss'])
self.log(name='shrink_maps', value=loss_dict['loss_shrink_maps'])
self.log(name='threshold_maps', value=loss_dict['loss_threshold_maps'])
self.log(name='binary_maps', value=loss_dict['loss_binary_maps'])
return loss_dict['loss']
def validation_step(self, batch, batch_idx):
data = batch
output = self.forward(data['img'])
boxes, scores = self.postprocess(output.cpu().numpy(), batch['shape'])
raw_metric = self.metric(batch, (boxes, scores))
return raw_metric
def validation_epoch_end(self, outputs):
metric = self.metric.gather_measure(outputs)
self.log('recall', value=metric['recall'].avg)
self.log('precision', value=metric['precision'].avg)
self.log('hmean', value=metric['fmeasure'].avg)
return {'hmean': metric['fmeasure'].avg}
def configure_optimizers(self):
optimizer = get_optimizer(self.parameters(), self.optimizer_name, self.lr)
lr_scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, mode='max')
return {'optimizer': optimizer, 'lr_scheduler': lr_scheduler, "monitor": 'hmean'}
This issue has been automatically marked as stale because it hasn't had any recent activity. This issue will be closed in 7 days if no further activity occurs. Thank you for your contributions, Pytorch Lightning Team!
This should now be fixed. Could you update Pytorch Lightning from master branch and install the most recent version of wandb?
pip install --upgrade wandb
pip install --upgrade git+https://github.com/PytorchLightning/pytorch-lightning.git
ok i will try it and close this issue~thanks for your work!
🐛 Bug
Exception: The wandb backend process has shutdown
full error info:
To Reproduce
Expected behavior
Environment
conda
,pip
, source): condatorch.__config__.show()
:cc @awaelchli @morganmcg1 @AyushExel @borisdayma @scottire