code: def test_inits():
      x = torch.empty(1, 4)
  
      uniform(size=4, value=x)
      assert x.min() >= -0.5
      assert x.max() <= 0.5
  
      glorot(x)
      assert x.min() >= -1.1
      assert x.max() <= 1.1
  
      glorot_orthogonal(x, scale=1.0)
      assert x.min() >= -2.5
      assert x.max() <= 2.5
  
      zeros(x)
      assert x.tolist() == [[0, 0, 0, 0]]
  
      ones(x)
      assert x.tolist() == [[1, 1, 1, 1]]
  
      nn = Lin(16, 16)
      uniform(size=4, value=nn.weight)
      assert nn.weight[0].min() >= -0.5
      assert nn.weight[0].max() <= 0.5
  
      glorot(nn.weight)
      assert nn.weight[0].min() >= -0.45
      assert nn.weight[0].max() <= 0.45
  
      glorot_orthogonal(nn.weight, scale=1.0)
      assert nn.weight[0].min() >= -2.5
      assert nn.weight[0].max() <= 2.5
  
imports: import torch
  from torch.nn import Linear
  from torch.nn import ReLU
  from torch.nn import Sequential
  from torch_geometric.nn.inits import glorot, glorot_orthogonal, ones, reset, uniform, zeros
label_desc: Use image node_id 1 for calling a global function with example usage: test_inits() without return types