tr=torch.Tensor([[100000,200000],[1,2]]) tr1=torch.Tensor([1,2]) tr2=torch.Tensor([1,2]) print(tr1+tr2) print(tr/2) print(torch.sum(tr*np.reshape(tr1,(-1,1)),dim=0)) w=nn.Softmax() print(torch.matmul(tr,tr1.T)) print(w(torch.matmul(tr,tr1.T))) print(tr*np.reshape(w(torch.matmul(tr,tr1.T)),(-1,1))) w=nn.Softmax(dim=0) w1=torch.Tensor([0,0,0]) w2=torch.Tensor([[1,1,1],[2,2,2],[3,3,3]]) print(torch.sum(w2*w(torch.zeros((3,1))),dim=0))
标签：dim,Tensor,程序,torch,tr,tr1,print From： https://www.cnblogs.com/hahaah/p/16876689.html