# 需要導入模塊: import torch [as 別名]# 或者: from torch importset_printoptions[as 別名]defget_attn_adj_mask(adjs):adjs_mask = adjs.ne(0)# batch*n_node*n_node# torch.set_printoptions(precision=None, threshold=float('inf'))# pdb.set_trace()n_neig = adjs_mask.sum(dim=2) adjs...
set_printoptions(threshold=float('inf')) pos_repr = re.sub(',', '', _tensor_str(pos, indent=0)) pos_repr = '\n'.join([x[2:-1] for x in pos_repr.split('\n')])[:-1] face_repr = re.sub(',', '', _tensor_str(face, indent=0)) face_repr = '\n'.join([x[2:-...
torch.set_default_ dtype(d) 对torch.tensor() 设置默认的浮点类型 torch.set_printoptions(precision= None, threshold=None, edgeitems = None, linewidth=None, profile=None) 设置printing的打印参数 1.4 Tensor与numpy的相互转换 torch.from_ numpy(ndarry) a.numpy() import torch import numpy as np a ...