Open new-programer opened 9 months ago
for batch in dl_train: break
for key,value in batch.items(): if isinstance(value,torch.Tensor): batch[key] = batch[key].cuda()
model = model.cuda() model.train(data = 'balloon-seg.yaml') batch['img'] = batch['img'].float()/255.0 loss,_ = model.forward(batch) loss
测试loss计算过程
for batch in dl_train: break
for key,value in batch.items(): if isinstance(value,torch.Tensor): batch[key] = batch[key].cuda()
model = model.cuda() model.train(data = 'balloon-seg.yaml') batch['img'] = batch['img'].float()/255.0 loss,_ = model.forward(batch) loss