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class GCN(nn.Module): def init(self, num_state, num_node, bias=False): super(GCN, self).init() self.conv1 = nn.Conv1d(num_node, num_node, kernel_size=1) // why conv1d ? self.relu = nn.ReLU(inplace=True) self.conv2 = nn.Conv1d(num_state, num_state, kernel_size=1, bias=bias) //?
def forward(self, x): h = self.conv1(x.permute(0, 2, 1)).permute(0, 2, 1) h = h - x h = self.relu(self.conv2(h)) return h
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class GCN(nn.Module):
def init(self, num_state, num_node, bias=False):
super(GCN, self).init()
self.conv1 = nn.Conv1d(num_node, num_node, kernel_size=1) // why conv1d ?
self.relu = nn.ReLU(inplace=True)
self.conv2 = nn.Conv1d(num_state, num_state, kernel_size=1, bias=bias) //?
The text was updated successfully, but these errors were encountered: