# 需要導入模塊: import torch [as 別名]# 或者: from torch importsparse_coo_tensor[as 別名]defmake_batch_align_matrix(index_tensor, size=None, normalize=False):""" Convert a sparse index_tensor into a batch of alignment matrix, with row normalize to the sum of 1 if set normalize. Args:...
sparse_dim + dense_dim = len(SparseTensor.shape) SparseTensor._indices().shape = (sparse_dim, nnz) SparseTensor._values().shape = (nnz, SparseTensor.shape[sparse_dim:]) 因为SparseTensor._indices()总是一个二维张量, 最小的sparse_dim = 1. 因此, sparse_dim = 0的稀疏张量的表示就是一个...
3]) val =torch.linspace(1, 8, 8) c = SparseTensor(row=row, col=col, value=val) print('...
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...
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...
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。
Returns the total number of elements in theinputtensor. Parameters input(Tensor) – the input tensor. Example: 代码语言:javascript 复制 >>>a=torch.randn(1,2,3,4,5)>>>torch.numel(a)120>>>a=torch.zeros(4,4)>>>torch.numel(a)16 ...
有篇关于Openfire导入到IntelliJ IDEA的文章（http://www.linuxidc.com/Linux/2015-01/112313.htm），...
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 torch.as_strided(input, size, stride, storage_offset=0) → Tensor ...
首先,如果您反复执行可以产生重复条目(例如torch.sparse.FloatTensor.add())的操作,则应偶尔将您的稀疏张量合并,以防止它们变得太大。 其次,一些运营商将取决于它们是否被合并或不产生不同的值(例如, torch.sparse.FloatTensor._values()和 torch.sparse.FloatTensor._indices(),以及 torch.Tensor._sparse_mask())...