确认torch_sparse库的导入方式是否正确: 正确的导入方式应该是: python import torch_sparse 你提到的 from torch_sparse import sparsetensor 是不正确的,因为torch_sparse库中没有直接名为sparsetensor的模块或函数。如果你需要创建一个稀疏张量,应该使用torch_sparse库提供的相关函数,例如torch_sparse.SparseTensor(...
SparseTensor来自torch_sparse，但是你发布了torch.sparse的文档。第一个是pytorch生态系统中的一个单独的...
sparse_coo_tensor(edge_index, edge_attr, size) eye = torch.arange(start=0, end=num_nodes) eye = torch.stack([eye, eye]) eye = torch.sparse_coo_tensor(eye, torch.ones([num_nodes]), size) adj = adj.t() + adj + eye # greater than 1 when edge_index is already symmetrical adj...
sparse_grad (bool,optional) – 如果为True,梯度w.r.t。input将是一个稀疏张量。 out (Tensor, optional) – 目标张量 Example: >>> t = torch.tensor([[1, 2], [3, 4]]) >>> torch.gather(dim=1, index=torch.tensor([[0, 0], [1, 0]])) ...
def scipy_sparse_mat_to_torch_sparse_tensor(sparse_mx): """ 将scipy的sparse matrix转换成torch的sparse tensor. """ sparse_mx = sparse_mx.tocoo().astype(np.float32) indices = torch.from_numpy( np.vstack((sparse_mx.row, sparse_mx.col)).astype(np.int64)) values = torch.from_numpy(sp...
A minimal reproducing example: In [4]: adj = SparseTensor.from_edge_index(torch.LongTensor([[1,2], [1,3], [2, 3]])) In [5]: adj.partition(3) [1] 2709268 bus error (core dumped) ipython In what circumstances will this partition function l...
🚀 The feature, motivation and pitch torch.clamp() fails on sparse tensors using SparseCPU backend. Among other things, this breaks gradient clipping with sparse tensors. import torch sparse_tensor = torch.sparse_coo_tensor([[1,2]], [1,5]...
📚 The doc issue The doc of torch.sparse_coo_tensor() shows its Parameters/Keyword Arguments as below: size (list, tuple, or torch.Size, optional) – Size of the sparse tensor. If not provided the size will be inferred as the minimum size ...
3]) val =torch.linspace(1, 8, 8) c = SparseTensor(row=row, col=col, value=val) print('...
index_select方法可以实现对SparseTensor按行/列采样：# demo from torch_sparse import SparseTensor row...