Hi! I'm actually trying to run this code but unfortunately I'm stuck at this one error from days and I'm not understanding what to do about it.
Traceback (most recent call last):
File "cross_validation.py", line 301, in
main()
File "cross_validation.py", line 297, in main
train_test_five_fold(args)
File "cross_validation.py", line 272, in train_test_five_fold
ten_fold_files(Drug_feature, ATC_feature, Drug_ATC_label, args)
File "cross_validation.py", line 112, in ten_fold_files
total_Aiming, total_Coverage, total_Abs_True_Rate, total_Abs_False_Rate, total_Accuracy, total_Hamming_loss = train_test(X_index[train], y[train], X_index[test], y[test], train_drug_label, Drug_feature, ATC_feature, args)
File "cross_validation.py", line 163, in train_test
outputs = model(batch_x, torch.from_numpy(ATC_feature).to(device))
File "C:\Users\aparn\anaconda3\envs\py36env\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, *kwargs)
File "C:\Users\aparn\Downloads\4552917\network_kfold.py", line 132, in forward
x = F.relu(self.linear(x))
File "C:\Users\aparn\anaconda3\envs\py36env\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(input, **kwargs)
File "C:\Users\aparn\anaconda3\envs\py36env\lib\site-packages\torch\nn\modules\linear.py", line 91, in forward
return F.linear(input, self.weight, self.bias)
File "C:\Users\aparn\anaconda3\envs\py36env\lib\site-packages\torch\nn\functional.py", line 1674, in linear
ret = torch.addmm(bias, input, weight.t())
RuntimeError: size mismatch, m1: [32 x 215040], m2: [3584 x 1010] at ..\aten\src\TH/generic/THTensorMath.cpp:41
Hi! I'm actually trying to run this code but unfortunately I'm stuck at this one error from days and I'm not understanding what to do about it.
Traceback (most recent call last): File "cross_validation.py", line 301, in
main()
File "cross_validation.py", line 297, in main
train_test_five_fold(args)
File "cross_validation.py", line 272, in train_test_five_fold
ten_fold_files(Drug_feature, ATC_feature, Drug_ATC_label, args)
File "cross_validation.py", line 112, in ten_fold_files
total_Aiming, total_Coverage, total_Abs_True_Rate, total_Abs_False_Rate, total_Accuracy, total_Hamming_loss = train_test(X_index[train], y[train], X_index[test], y[test], train_drug_label, Drug_feature, ATC_feature, args)
File "cross_validation.py", line 163, in train_test
outputs = model(batch_x, torch.from_numpy(ATC_feature).to(device))
File "C:\Users\aparn\anaconda3\envs\py36env\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, *kwargs)
File "C:\Users\aparn\Downloads\4552917\network_kfold.py", line 132, in forward
x = F.relu(self.linear(x))
File "C:\Users\aparn\anaconda3\envs\py36env\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(input, **kwargs)
File "C:\Users\aparn\anaconda3\envs\py36env\lib\site-packages\torch\nn\modules\linear.py", line 91, in forward
return F.linear(input, self.weight, self.bias)
File "C:\Users\aparn\anaconda3\envs\py36env\lib\site-packages\torch\nn\functional.py", line 1674, in linear
ret = torch.addmm(bias, input, weight.t())
RuntimeError: size mismatch, m1: [32 x 215040], m2: [3584 x 1010] at ..\aten\src\TH/generic/THTensorMath.cpp:41
can you help me with this please?