G:\soft\Ano\envs\test1\python.exe G:\code\DconnNet-main\train.py
Train batch number: 182
Test batch number: 518
Petrain Model Have been loaded!
START TRAIN.
Selected optimization level O2: FP16 training with FP32 batchnorm and FP32 master weights.
Defaults for this optimization level are:
enabled : True
opt_level : O2
cast_model_type : torch.float16
patch_torch_functions : False
keep_batchnorm_fp32 : True
master_weights : True
loss_scale : dynamic
Processing user overrides (additional kwargs that are not None)...
After processing overrides, optimization options are:
enabled : True
opt_level : O2
cast_model_type : torch.float16
patch_torch_functions : False
keep_batchnorm_fp32 : True
master_weights : True
loss_scale : dynamic
Warning: multi_tensor_applier fused unscale kernel is unavailable, possibly because apex was installed without --cuda_ext --cpp_ext. Using Python fallback. Original ImportError was: ModuleNotFoundError("No module named 'amp_C'")
G:\soft\Ano\envs\test1\lib\site-packages\torch\nn\functional.py:1639: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
torch.Size([10, 8, 224, 320])
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Traceback (most recent call last):
File "G:\code\DconnNet-main\train.py", line 154, in
main(args)
File "G:\code\DconnNet-main\train.py", line 150, in main
solver.train(model, train_loader, val_loader,exp_id+1, num_epochs=args.epochs)
File "G:\code\DconnNet-main\solver.py", line 148, in train
loss_aux = self.loss_func(aux_out, y)
File "G:\soft\Ano\envs\test1\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(input, **kwargs)
File "G:\code\DconnNet-main\connect_loss.py", line 171, in forward
loss = self.single_class_forward(c_map, target)
File "G:\code\DconnNet-main\connect_loss.py", line 237, in single_class_forward
con_target = connectivity_matrix(target,self.args.num_class)#(B, 8, H, W)
File "G:\code\DconnNet-main\connect_loss.py", line 23, in connectivity_matrix
conn = torch.zeros([batch,class_num8,rows, cols]).cuda()
RuntimeError: CUDA error: device-side assert triggered
Process finished with exit code 1
Please ask the cause of this problem and how to solve it