开发者ID:rusty1s,项目名称:pytorch_geometric,代码行数:23,代码来源:glob.py 示例2: global_max_pool ▲点赞 6▼ # 需要导入模块: import torch_scatter [as 别名]# 或者: from torch_scatter importscatter[as 别名]defglobal_max_pool(x, batch, size: Optional[int] = None):r"""Returns batch-wise...
torch.nn.functional as F import torch_geometric.transforms as T from torch_geometric.datasets import MNISTSuperpixels from torch_geometric.loader import DataLoader from torch_geometric.nn import ChebConv, global_mean_pool, graclus, max_pool, max_pool_x from torch_geometric.utils import normalized_...
from collections import namedtuple import torch import torch.nn.functional as F from torch_scatter import scatter_add from torch_sparse import coalesce from torch_geometric.utils import softmax class EdgePooling(torch.nn.Module): #以下四段是EdgePooling的相关信息进行说明,包括文章来源、默认参数配置 r"...
开发者ID:rusty1s,项目名称:pytorch_geometric,代码行数:24,代码来源:test_polar.py 示例6: test_permuted_global_pool ▲点赞 6▼ # 需要导入模块: import torch [as 别名]# 或者: from torch importallclose[as 别名]deftest_permuted_global_pool():N_1, N_2 =4,6x = torch.randn(N_1 + N_2,4...
Source File: test_glob.py From pytorch_geometric with MIT License 6 votes def test_permuted_global_pool(): N_1, N_2 = 4, 6 x = torch.randn(N_1 + N_2, 4) batch = torch.cat([torch.zeros(N_1), torch.ones(N_2)]).to(torch.long) perm = torch.randperm(N_1 + N_2) px...
Source File: test_glob.py From pytorch_geometric with MIT License 6 votes def test_permuted_global_pool(): N_1, N_2 = 4, 6 x = torch.randn(N_1 + N_2, 4) batch = torch.cat([torch.zeros(N_1), torch.ones(N_2)]).to(torch.long) perm = torch.randperm(N_1 + N_2) px...
Hello, I am trying to install the pytorch_geometric on my computer which doesn't have GPU. When I try to run: !pip3 install torch-scatter !pip3 install torch-sparse !pip3 install torch-cluster !pip3 install torch-spine-conv !pip3 install...
Geometric[2]93.5993.26-0.331.70x Polar[3]93.8093.83+0.031.88x CP[4]92.8091.80-1.002.00x AMC[5]92.8091.90-0.902.00x HRank[6]93.2692.17-0.092.00x SFP[7]93.5993.36+0.232.11x ResRep[8]93.7193.71+0.002.12x Ours-L193.5392.93-0.602.12x ...
Geometric[2]93.5993.26-0.331.70x Polar[3]93.8093.83+0.031.88x CP[4]92.8091.80-1.002.00x AMC[5]92.8091.90-0.902.00x HRank[6]93.2692.17-0.092.00x SFP[7]93.5993.36+0.232.11x ResRep[8]93.7193.71+0.002.12x Ours-L193.5392.93-0.602.12x ...
Source File: triangles_sag_pool.py From pytorch_geometric with MIT License 6 votes def forward(self, data): x, edge_index, batch = data.x, data.edge_index, data.batch x = F.relu(self.conv1(x, edge_index)) x, edge_index, _, batch, perm, score = self.pool1( x, edge_index...