4) trace of dyadic 并向量的迹5) lexicographic product of graphs 图的张量积 1. The products of graphs discussed in this paper are the following four kinds: the Cartesian product of graphs, the tensor product of graphs, the lexicographic product of graphs and the strong direct product of ...
We give some graph theoretical formulas for the trace of a tensor which do not involve the differential operators and auxiliary matrix. As applications of these trace formulas in the study of the spectra of uniform hypergraphs, we give a characterization (in terms of the traces of the adjacency...
3) trace of tensor 张量的迹4) row-union vector 行并向量 1. The results that row-union vector of lower matrix is lower approximation and row-union vector of upper matrix is upper approximation are proved. 提出划分矩阵和布尔列向量取小乘法的概念;证明了下矩阵和上矩阵的行并向量分别是下...
TracerWarning: Converting a tensor to a Python index might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! position_ids = self.po...
(DemoModel,self).__init__()self.conv=nn.Conv2d(3,3,3,1,1)defforward(self,x):print(x.shape[0])print(x.numel())x=self.conv(x)returnxmodel=DemoModel()input=torch.randn(8,3,32,32)trace=torch.jit.trace(model,input)>>>tensor(8)>>>tensor(24576)>>>tensor(8)>>>tensor(24576)>...
Compute: The time the inference request spent executing the actual inference. This time includes the time spent copying input and output tensors. If —trace-level=MAX then a breakdown of the compute time will be provided as follows: Input: The time to copy inpu...
(NULL);vector<Tensor4D> W = CVX_ADMM_MSA (allSeqs, lenSeqs, T2, dir_path);time_tend = time(NULL);// 4. output the result// a. tuple viewcout<<">>>TupleView<<<"<<endl;for(intn =0; n < numSeq; n ++) {cout<<"n = "<< n <<endl; tensor4D_dump(W[n]); }// b....
tr(A⊗B)=tr(A)tr(B)tr(A⊗B)=tr(A)tr(B), where ⊗⊗ denotes the tensor product (aka the Kronecker product) of matrices. tr(A)tr(A) is equal to the sum of the eigenvalues of AA. tr(In)=ntr(In)=n, where InIn is the n×nn×n identity matrix. ...
The temperature dependence of the trace of the polarizability tensor was investigated for three liquid crystals, CB7, PCH 7, CCH7 whose molecule differ by the change of the molecule core. The results show that rotations of fragments of a molecule exist in the nematic phase of liquid crystals ...
We find one that is new, and exhibit it in various forms, including one that shows an unusual symmetry: it alternates in the three vector 1-forms and is a tensor of type (1,2), symmetric in its covariant part. Two-dimensional manifolds admit yet another new invariant.关键词:...