在NeighborLoader中默认被集成进来 from torch_geometric.loader import NeighborLoader from torch_geometric.data import Data edge_index=torch.tensor([[0,0,1,2,2,3,3,3,4,4,5,6],[2,3,2,4,5,2,4,5,5,6,1,2]]) x=torch.randn(7,10) inputs = Data(x=x,edge_index=edge_index) loader...
3 frames /usr/local/lib/python3.10/dist-packages/torch_geometric/init.py in ---> 1 import torch_geometric.utils 2 import torch_geometric.data 3 import torch_geometric.sampler 4 import torch_geometric.loader 5 import torch_geometric.transforms/...
116 + raise ImportError('`NeighborSampler` requires `torch-cluster`.') 117 + 111 118 self.data = data 112 119 self.size = repeat(size, num_hops) 113 120 self.num_hops = num_hops torch_geometric/nn/conv/edge_conv.py +9-3 Original file line numberDiff line numberDiff line...
sparse_coo_tensor(index[1], data, shape) return spmat, None Example #25Source File: test_gcn_conv.py From pytorch_geometric with MIT License 5 votes def test_gcn_conv_with_sparse_input_feature(): x = torch.sparse_coo_tensor(indices=torch.tensor([[0, 0], [0, 1]]), values=torch...
问循环遍历torch_geometric.loader.DataLoader对象ENastr = 'hello' alist = [10, 20, 30] atuple ...
Source File: test_inits.py From pytorch_geometric with MIT License 6 votes def test_inits(): x = torch.empty(1, 4) uniform(size=4, tensor=x) assert x.min() >= -0.5 assert x.max() <= 0.5 glorot(x) assert x.min() >= -1.25 assert x.max() <= 1.25 zeros(x) assert x....
Tensor.geometric_ Currently not support gradient computation, not support GRAPH mode Tensor.log_normal_ Currently not support gradient computation, not support GRAPH mode Tensor.symeig Currently not support gradient computation, not support GRAPH mode Tensor.fmax Currently not support gradient computation ...
set_debug import torch_geometric.utils import torch_geometric.data import torch_geometric.sampler import torch_geometric.loader import torch_geometric.transforms import torch_geometric.datasets import torch_geometric.nn import torch_geometric.explain import torch_geometric.profile from .experi...
📚 Installation I want to have a taste of pytorch_geometric, so I installed the CPU-only version. No errors appeared while pip install. I encountered the FileNotFoundError while from torch_geometric.data import Data. I ensured that the .p...
code: In [1]: import torch In [2]: from torch_geometric.data import Data error: OSError Traceback (most recent call last) in () ---> 1 from torch_geometric.data import Data ~/anaconda3/lib/python3.7/site-packages/torch_geometric/init.py...