How to use get_partition_list method in autotest

Best Python code snippet using autotest_python Github


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...28 if os.path.exists(fn):29 self.par_li = np.load(fn, allow_pickle=True)30 else:31 os.makedirs('./datasets/', exist_ok=True)32 self.par_li = get_partition_list(g, psize)33, self.par_li)34 else:35 self.par_li = get_partition_list(g, psize)36 par_list = []37 total_nodes = 038 for p in self.par_li:39 total_nodes = total_nodes + len(p)40 par = torch.Tensor(p)41 par_list.append(par)42 self.par_list = par_list43 print('Partition number = {} over {} nodes on graph with {} nodes'.format(len(par_list), total_nodes, g.num_nodes()))44 def __len__(self):45 return self.psize46 def __getitem__(self, idx):47 return self.par_li[idx]48def subgraph_collate_fn(g, batch):49 nids = np.concatenate(batch).reshape(-1).astype(np.int64)...

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...13 if os.path.exists(fn):14 self.par_li = np.load(fn, allow_pickle=True)15 else:16 os.makedirs('./partitions/', exist_ok=True)17 self.par_li = get_partition_list(g, psize)18, self.par_li)19 else:20 self.par_li = get_partition_list(g, psize)21 par_list = []22 for p in self.par_li:23 par = torch.Tensor(p)24 par_list.append(par)25 self.par_list = par_list26 def __len__(self):27 return self.psize28 def __getitem__(self, idx):29 return self.par_li[idx]30def subgraph_collate_fn(g, batch):31 nids = np.concatenate(batch).reshape(-1).astype(np.int64)32 g1 = g.subgraph(nids)33 return g134def ClusterIter(dn, g, psize, batch_size, seed_nid=None):...

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