I have the following problems when using the Graph attention Networks(GAT) framework.
RuntimeError: Could not run ‘aten::gt.Scalar’ with arguments from the ‘SparseCPUTensorId’ backend. ‘aten::gt.Scalar’ is only available for these backends: [CPUTensorId, QuantizedCPUTensorId, VariableTensorId].
This is the code.
def forward(self, input, adj):
h = torch.mm(input, self.W)
N = h.size()[0]
a_input = torch.cat([h.repeat(1, N).view(N * N, -1), h.repeat(N, 1)], dim=1).view(N, -1, 2 * self.out_features)
e = self.leakyrelu(torch.matmul(a_input, self.a).squeeze(2)
zero_vec = -9e15*torch.ones_like(e)
attention = torch.where(adj > 0, e, zero_vec)
This is a pychar error   :
attention = torch.where(adj > 0, e, zero_vec)
File “/home/Scse09064/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/tensor.py”, line 28, in wrapped
return f(*args, **kwargs)
RuntimeError: Could not run ‘aten::gt.Scalar’ with arguments from the ‘SparseCPUTensorId’ backend. ‘aten::gt.Scalar’ is only available for these backends: [CPUTensorId, QuantizedCPUTensorId, VariableTensorId].
Hope to have a friend to help me solve this problem, I will be very grateful!