# 需要導入模塊: from scipy import sparse [as 別名]# 或者: from scipy.sparse importspmatrix[as 別名]defX(self)-> Union[SparseDataset, np.ndarray, sparse.spmatrix]:#TODO:Handle unsorted array of integer indices for h5py.Datasetsifnotself._adata.isbacked:returnself._Xifnotself._adata.file....
rowB, colB, _ = adj_r.coo() indexA = torch. stack((rowA,colA)) indexB = torch. stack((rowB,colB)) valueA = adj_l.storage._value valueB = adj_r.storage._value indexC, valueC = spspmm(indexA, valueA, indexB, valueB, adj_l.size(0), adj_l.size(1), adj_r.size(1)...
shape[1]) if edge_weight is None else edge_weight adj = torch.sparse_coo_tensor(edge_index, edge_weight, (x.shape[0], x.shape[0])) adj = adj.to(x.device) out = (1 + self.eps) * x + torch.spmm(adj, x) if self.apply_func is not None: out = self.apply_func(out) ...
Approx. AJ-P2COO8HG 32 minutes 16 minutes (For more information, see the instruction manual for the appropriate memory card.) Notes Operation of the following P2 cards with the AJ- SPC700 has been verified: AJ-P2C002SG AJ-P2C004HG AJ-P2C008HG If the one-time continuous recording exceeds...
optimizer = tf.train.AdamOptimizer(learning_rate)iffeature_matrixisNone: feature_matrix = sp.diags(range(adj.shape[0]))ifisinstance(feature_matrix,spmatrix): coo_feature_matrix = feature_matrix.tocoo().astype(np.float32) x = tf.SparseTensor(indices=np.stack((coo_feature_matrix.row, coo_fe...
The CCD matrix of the independent variable in coded form is shown in Table 2 with the experimental and predicted values. The analysis of variance of the quadratic model showed that the model was significant based on the p values, and F test (Table 3). The F value for the model was ...