Traceback (most recent call last):
File "/root/prog/wzp/DeepPurpose/MyWork/test.py", line 51, in
model.train(train, val, max_auc = 0.8, max_auprc = 0.8)
File "/root/prog/wzp/DeepPurpose/DeepPurpose/DTI.py", line 445, in train
score = self.model(v_d, v_p)
File "/root/anaconda3/envs/DeepPurpose/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/root/prog/wzp/DeepPurpose/DeepPurpose/DTI.py", line 54, in forward
v_f = torch.cat((v_D, v_P), 1)
RuntimeError: Sizes of tensors must match except in dimension 0. Got 2 and 64
Hello, I am very interested in your job and this combination cannot work.
Traceback (most recent call last): File "/root/prog/wzp/DeepPurpose/MyWork/test.py", line 51, in
model.train(train, val, max_auc = 0.8, max_auprc = 0.8)
File "/root/prog/wzp/DeepPurpose/DeepPurpose/DTI.py", line 445, in train
score = self.model(v_d, v_p)
File "/root/anaconda3/envs/DeepPurpose/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/root/prog/wzp/DeepPurpose/DeepPurpose/DTI.py", line 54, in forward
v_f = torch.cat((v_D, v_P), 1)
RuntimeError: Sizes of tensors must match except in dimension 0. Got 2 and 64
Hello, I am very interested in your job and this combination cannot work.