transpose(-1, -2)) # SparseCSR does not have softmax now # attn.softmax(-1) # out = attn @ value # directly use torch.mm or torch.sparse.mm will have following error # RuntimeError: mat1 must be a matrix, got 4-D tensor # torch.matmul also don't support this # BLAS term:...
pip install torch-scatter==latest+${CUDA} -f https://pytorch-geometric.com/whl/torch-1.4.0.html pip install torch-sparse==latest+${CUDA} -f https://pytorch-geometric.com/whl/torch-1.4.0.html pip install torch-cluster==latest+${CUDA} -f https://pytorch-geometric.com/whl/torch-1.4.0...
点击之后又会出现新的界面,如图5。一共有四种依赖,分别是torch_scatter,torch_sparse,torch_cluster,torch_spline_conv。每一种下载其中一个即可(torch_scatter-1.5.8表示torch_scatter版本号,cp37表示python3.7,win表示Windows操作系统,根据自己电脑种实际情况去选择安装)。单击后就会下载whl类型的文件。我这里下载后的...
1.查看torch版本,查看python版本 2.下载对应版本的安装包: https://pytorch-geometric.com/whl/3.找到下载安装包的位置,直接pip install+包名称
pip3 install torch==1.21.1 torchvision==0.13.1 torchaudio==0.12.1 1. 2. 3. 然后根据有没有GPU,进入对应的路径。 然后根据“python版本、系统类型”选择不同的whl并下载。 然后执行安装: wget https://data.pyg.org/whl/torch-1.12.0%2Bcu116/torch_sparse-0.6.15-cp39-cp39-linux_x86_64.whl ...
先进入这个链接,检查下pytorch版本对不对: https://pytorch-geometric.com/whl/ pytorch官网: Start Locally | PyTorch 由于我装的1.13.0太新了,所以降级装了1.12.1。 # conda create -n py39 python=3.9 #...
sample_size[i]).to(x.device) adj_sp = torch.sparse_coo_tensor( edge_index_sp, torch.ones(edge_index_sp.shape[1]).float(), (x.shape[0], x.shape[0]), ).to(x.device) x = self.convs[i](x, adj_sp) if i != self.num_layers - 1: x = F.relu(x) x = F.dropout(x,...
conda、pip是Python的包管理器,用来管理pytorch、tensorflow等第三方库,比如下载、安装、更新等。另外...
安装torch_scatter,torch-sparse,torch-cluster,torch-spline-conv,torch-geometric,程序员大本营,技术文章内容聚合第一站。
A = torch.load('adj1.pt')A = A.numpy() numpy 矩阵转 scipy 稀疏矩阵 A = sp.coo_matrix(A) scipy 稀疏矩阵转numpy 矩阵 A.toarray() 将Scipy Sparse 矩阵转换成 torch sparse 矩阵 defsparse_mx_to_torch_sparse_tensor(sparse_mx):"""Convert a scipy sparse matrix to a torch sparse tensor...