A sparse tensor can be uncoalesced, in that case, there are duplicate coordinates in the indices, and the value at that index is the sum of all duplicate value entries: torch.sparse. Parameters indices (array_like)– Initial data for the tensor. Can be a list, tuple, NumPy ndarray, ...
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...
---> 3 from torch_geometric.typing import OptTensor, NodeType, EdgeType 4 from torch_geometric.deprecation import deprecated 5 ~/anaconda3/lib/python3.7/site-packages/torch_geometric/typing.py in () 2 3 from torch import Tensor ---> 4 from torch_sparse import SparseTensor 5 ...
def to_torch_sparse_coo_tensor( self, dtype: Optional[int] = None) -> torch.Tensor: row, col, value = self.coo() index = torch.stack([row, col], dim=0) if value is None: value = torch.ones(self.nnz(), dtype=dtype, device=self.device()) return torch.sparse_coo_tensor(index...
def normalize_sparse_tensor(adj, fill_value=1): """Normalize sparse tensor. Need to import torch_scatter """ edge_index = adj._indices() edge_weight = adj._values() num_nodes= adj.size(0) edge_index, edge_weight = add_self_loops( edge_index, edge_weight, fill_value, num_nodes)...
# demo from torch_sparse import SparseTensor row = torch.tensor([0, 1, 2, 2, 2, 3, 3, ...
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...
torch.tensor(data, dtype=None, device=None, requires_grad=False, pin_memory=False) → Tensor torch.sparse_coo_tensor(indices, values, size=None, dtype=None, device=None, requires_grad=False) → Tensor torch.as_tensor(data, dtype=None, device=None) → Tensor ...
index_select方法可以实现对SparseTensor按行/列采样：# demo from torch_sparse import SparseTensor row...
sparse_csrtensor, torchrandn_like, torch.from_file,torch._cudnninit_dropout_state, torch._emptyaffine_quantized, torchlinspace, torch._window torch.empty_quantized, ._pin_memory,torch.autocast, .load, torch.Generator, torchTensor.new_empty, torch.Tensornew_empty_stride, ...