以便同学们基于模块化的 torch-geometric 轻松建立模型。笔者基于 GAT 提供了一个简单的案例,在开展研究的初期,同学们不妨尝试使用 torch-geometric 中其他的卷积层进行实验,并分析不同卷积在 EEG 分析上的优劣以得到 insight 开展深入的自主设计。 from torch_geometric.nn import GATConv, global_mean_pool class ...
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_...
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...
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...
bool) for i, rel in enumerate(cross_rels): cpu_bitmap[rel] = 1 self.cpu_bitmap = cpu_bitmap self.has_cross_rel = True self.global_emb = global_emb Example #22Source File: test_diff_pool.py From pytorch_geometric with MIT License 5 votes def test_dense_diff_pool(): batch_...