本文整理匯總了Python中torch_geometric.nn.MessagePassing方法的典型用法代碼示例。如果您正苦於以下問題：Python nn.MessagePassing方法的具體用法？Python nn.MessagePassing怎麽用？Python nn.MessagePassing使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類torch_geometric.nn的用法示例。
在下文中一共展示了nn.MessagePassing方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: __num_hops__
# 需要導入模塊: from torch_geometric import nn [as 別名]
# 或者: from torch_geometric.nn import MessagePassing [as 別名]
def __num_hops__(self):
num_hops = 0
for module in self.model.modules():
if isinstance(module, MessagePassing):
num_hops += 1
return num_hops 示例2: __set_masks__
# 需要導入模塊: from torch_geometric import nn [as 別名]
# 或者: from torch_geometric.nn import MessagePassing [as 別名]
def __set_masks__(self, x, edge_index, init="normal"):
(N, F), E = x.size(), edge_index.size(1)
std = 0.1
self.node_feat_mask = torch.nn.Parameter(torch.randn(F) * 0.1)
std = torch.nn.init.calculate_gain('relu') * sqrt(2.0 / (2 * N))
self.edge_mask = torch.nn.Parameter(torch.randn(E) * std)
for module in self.model.modules():
if isinstance(module, MessagePassing):
module.__explain__ = True
module.__edge_mask__ = self.edge_mask 示例3: __clear_masks__
# 需要導入模塊: from torch_geometric import nn [as 別名]
# 或者: from torch_geometric.nn import MessagePassing [as 別名]
def __clear_masks__(self):
for module in self.model.modules():
if isinstance(module, MessagePassing):
module.__explain__ = False
module.__edge_mask__ = None
self.node_feat_masks = None
self.edge_mask = None 示例4: __flow__
# 需要導入模塊: from torch_geometric import nn [as 別名]
# 或者: from torch_geometric.nn import MessagePassing [as 別名]
def __flow__(self):
for module in self.model.modules():
if isinstance(module, MessagePassing):
return module.flow
return 'source_to_target'