def validation_epoch_end(self, outputs):
val_loss = mean(outputs, 'val_loss')
val_acc1 = mean(outputs, 'val_acc1')
val_acc5 = mean(outputs, 'val_acc5')
log = {'val_loss': val_loss, 'val_acc1': val_acc1, 'val_acc5': val_acc5}
self.log_dict(log)
def validation_epoch_end(self, outputs):
val_loss = mean(outputs, "val_loss")
val_acc1 = mean(outputs, "val_acc1")
val_acc5 = mean(outputs, "val_acc5")
log = {"val_loss": val_loss, "val_acc1": val_acc1, "val_acc5": val_acc5}
self.log_dict(log)
def validation_epoch_end(self, outputs):
val_loss = mean(outputs, 'val_loss')
val_acc1 = mean(outputs, 'val_acc1')
val_acc5 = mean(outputs, 'val_acc5')
self.log('val_loss_agg', val_loss)
self.log('val_acc1_agg', val_acc1)
self.log('val_acc5_agg', val_acc5)
def test_epoch_end(self, outputs):
test_loss = mean(outputs, 'test_loss')
test_acc1 = mean(outputs, 'test_acc1')
test_acc5 = mean(outputs, 'test_acc5')
return {
'test_lincls_loss': test_loss.item(),
'test_lincls_acc1': test_acc1.item(),
'test_lincls_acc5': test_acc5.item(),
}
def validation_epoch_end(self, outputs):
val_loss = mean(outputs, 'val_loss')
val_acc1 = mean(outputs, 'val_acc1')
val_acc5 = mean(outputs, 'val_acc5')
log = {
'val_loss': val_loss,
'val_acc1': val_acc1,
'val_acc5': val_acc5
}
return {'val_loss': val_loss, 'log': log, 'progress_bar': log}
def validation_epoch_end(self, outputs):
val_nce = metrics.mean(outputs, 'val_nce')
log = {'val_nce_loss': val_nce}
if self.online_evaluator:
mlp_acc = metrics.mean(outputs, 'mlp_acc')
mlp_loss = metrics.mean(outputs, 'mlp_loss')
log['val_mlp_acc'] = mlp_acc
log['val_mlp_loss'] = mlp_loss
return {'val_loss': val_nce, 'log': log}
def validation_epoch_end(self, outputs):
val_loss = mean(outputs, "val_loss")
val_acc1 = mean(outputs, "val_acc1")
val_acc5 = mean(outputs, "val_acc5")
log = {
"val_loss": val_loss,
"val_acc1": val_acc1,
"val_acc5": val_acc5,
}
return {"val_loss": val_loss, "log": log, "progress_bar": log}
def test_epoch_end(self, outputs):
test_loss = mean(outputs, 'test_loss')
test_acc1 = mean(outputs, 'test_acc1')
test_acc5 = mean(outputs, 'test_acc5')
results = {
'test_con_loss': test_loss.item(),
'test_con_acc1': test_acc1.item(),
'test_con_acc5': test_acc5.item(),
}
return results
def validation_epoch_end(self, outputs: list):
val_loss = mean(outputs, 'val_loss')
log = dict(val_loss=val_loss, )
progress_bar = {}
if self.online_evaluator:
mlp_acc = mean(outputs, 'mlp_acc')
mlp_loss = mean(outputs, 'mlp_loss')
log['val_mlp_acc'] = mlp_acc
log['val_mlp_loss'] = mlp_loss
progress_bar['val_acc'] = mlp_acc
return dict(val_loss=val_loss, log=log, progress_bar=progress_bar)
def validation_epoch_end(self, results):
val_loss = mean(results, "val_loss")
val_acc1 = mean(results, "val_acc1")
val_acc5 = mean(results, "val_acc5")
log = {"val_loss": val_loss, "val_acc1": val_acc1, "val_acc5": val_acc5}
self.log_dict(log, sync_dist=True)
try:
# LightningModule.print() has an issue on printing when validation mode
self.print(
f"[Epoch {self.current_epoch}]: [Val loss: {val_loss} / Val acc1: {val_acc1} / Val acc5: {val_acc5}]"
)
except:
pass
