Plumess
commented
5 months ago Hello,
To better assist you with the error you've encountered, could you please provide more details about your setup? Specifically:
Python Version: What Python version are you using? PyTorch Version: What's the version of PyTorch installed? CUDA Version: If using GPU, what's your CUDA version? Dataset: Are you using the LOL test images provided by the project? Pre-trained Model and Path: Did you correctly choose the pre-trained model and its path? This information will help diagnose the issue more accurately. Thank you!
您好，
为了更好地帮助您解决遇到的错误，能否请您提供一些关于您的设置的详细信息？具体包括：
Python版本：您使用的Python版本是什么？ PyTorch版本：安装的PyTorch版本是多少？ CUDA版本：如果使用GPU，您的CUDA版本是什么？ 数据集：您是否使用项目提供的LOL数据集？ 预训练模型及路径：您是否正确选择了预训练模型及其路径？ 提供这些信息将有助于我们更准确地诊断问题。谢谢！
PS: 如果您是中文使用者，可以直接使用中文进行沟通。
I try run my dataset,but it has son error. Could you help me? C:\Users\lenovo.conda\envs\pt\python.exe H:/00_Gao/ACSF/main_LOL.py C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\TensorShape.cpp:2895.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
parameters: 8112817
load weights successfully train_input_image 60 number of test samples: 60 low_in_shape: torch.Size([1, 3, 384, 384]) Traceback (most recent call last): File "H:/00_Gao/ACSF/main_LOL.py", line 176, in
main()
File "H:/00_Gao/ACSF/main_LOL.py", line 168, in main
test()
File "H:/00_Gao/ACSF/main_LOL.py", line 147, in test
S_low = enhancenet(low_im)
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, kwargs)
File "H:\00_Gao\ACSF\model_LOL.py", line 675, in forward
ffc1 = self.ffc1(l1)
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, *kwargs)
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\container.py", line 139, in forward
input = module(input)
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(input, kwargs)
File "H:\00_Gao\ACSF\model_LOL.py", line 643, in forward
l1 = self.lewin1(input)
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, kwargs)
File "H:\00_Gao\ACSF\model_LOL.py", line 562, in forward
attn_windows = self.attn(x_windows, mask=attn_mask) # nWB, win_sizewin_size, C
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, *kwargs)
File "H:\00_Gao\ACSF\model_LOL.py", line 139, in forward
q, k, v = self.qkv(x, attn_kv)
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(input, kwargs)
File "H:\00_Gao\ACSF\model_LOL.py", line 91, in forward
q = self.to_q(x)
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, *kwargs)
File "H:\00_Gao\ACSF\model_LOL.py", line 64, in forward
x = self.depthwise(x)
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(input, **kwargs)
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\conv.py", line 457, in forward
return self._conv_forward(input, self.weight, self.bias)
File "C:\Users\lenovo.conda\envs\pt\lib\site-packages\torch\nn\modules\conv.py", line 453, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
TypeError: conv2d() received an invalid combination of arguments - got (Tensor, Parameter, Parameter, tuple, tuple, tuple, int), but expected one of: