代码语言:python 代码运行次数:2 运行 AI代码解释 importnumpyasnp# 这个图是一个有向无环图(DAG)# -1 代表什么也不连# 图用二维列表,第一行代表节点编号,第二行为对应节点的指向节点graph=[[0,0,1,2,3],[1,2,3,3,4]]# 定义5个节点的初始特征值embeddings=[[1,2,3],[2,6,5],[2,3,7],[...
好在这种时候会触发一个警告信息TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other ...
class GCNConvNet(nn.Module):def __init__(self,in_channels=3,out_channels=6):super(GCNConvNet,self).__init__()self.gcn_0=GCNConv(in_channels,64)self.gcn_h1=GCNConv(64,64)self.gcn_h2=GCNConv(64,64)self.gcn_h3=GCNConv(64,64)self.gcn_h4=GCNConv(64,64)self.gcn_h5=GCNConv(64...
class GraphConvolution(Module): def __init__(self, in_features, out_features, bias=True): super(GraphConvolution, self).__init__() self.in_features = in_features self.out_features = out_features self.weight = Parameter(torch.FloatTensor(in_features, out_features)) if bias: self.bias =...
export GOROOT=/usr/local/go export GOPATH=$HOME/go export GO111MODULE=on export GOPROXY=https://goproxy.cn export PATH=$PATH:$GOROOT/bin:$GOPATH/bin 代码语言:javascript 代码运行次数:0 运行 AI代码解释 source ~/.bashrc 验证 代码语言:javascript 代码运行次数:0 运行 AI代码解释 go version ...
importtorchfromtorchimportTensorfromtorch_geometric.nnimportGCNConvfromtorch_geometric.datasetsimportPlanetoiddataset=Planetoid(root='.',name='Cora')classGCN(torch.nn.Module):def__init__(self,in_channels,hidden_channels,out_channels):super().__init__()self.conv1=GCNConv(in_channels,hidden_channels...
DGL is an easy-to-use, high performance and scalable Python package for deep learning on graphs. DGL is framework agnostic, meaning if a deep graph model is a component of an end-to-end application, the rest of the logics can be implemented in any major frameworks, such as PyTorch, Apa...
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(2)在/opt/module/data创建三个文件 AI检测代码解析 [atguigu@hadoop102 data]$ touch a.tsv [atguigu@hadoop102 data]$ touch b.tsv [atguigu@hadoop102 data]$ touch c.tsv 1. 2. 3. 添加如下数据: AI检测代码解析 Hello atguigu Hello spark ...
(conststd::string&op_name,conststd::vector<graph_tensor_ptr>&producer_lt,conststd::vector<graph_tensor_ptr>&consumer_lt,constany_map_t&attrs);virtualir_module_ptrget_func(context_ptrctx)=0;virtualvoidquery_format(context_ptrctx,std::vector<std::vector<sc_data_format_t>>&in_formats,std...