Error allocating memory for custom struct

Accelerated Computing CUDA CUDA Programming and Performance
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HI all!!

I have these struct:

typedef struct Edge {
    int start;
    int end;
} Edge;

typedef struct {
    int dest;
    int deg;
    int nome;
    Edge *edges;
} Vertex;

and in my main I have an initial structure Vertex* initial_partition, that contains all vertexes of a graph with all the field correctly filled.
Now I want to build a device structure that is exactly like this one, so I did:

    Vertex* d_initial_partition;
    cudaMalloc((void **)&d_initial_partition, numNodes * sizeof(Vertex));
    cudaMemcpy(d_initial_partition, initial_partition, numNodes * sizeof(Vertex), cudaMemcpyHostToDevice);

but I noticed that this operations doesn’t copy the field Edge* of the structure. I’ve tried even to allocate the edge alone like this:

    for (int i = 0; i < numNodes; i++) {
        Edge* edges;
        // 2
        cudaMalloc((void **)&edges, initial_partition[i].deg * sizeof(Edge));
        // copy edges
        if(initial_partition[0].deg != 0){
            cudaMemcpy(edges, initial_partition[i].edges, initial_partition[i].deg * sizeof(Edge), cudaMemcpyHostToDevice);
        }
        
        cudaMemcpy(&d_initial_partition[i].edges, &edges, sizeof(Edge*), cudaMemcpyHostToDevice);
    }

but nothing,it still goes in seg.fault if i try to access to edges fields (end or start). Can someone let me see how can I save all the information in the d_initial_partition vector?
Thank you all

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