code: def test_get_smld_sigma_schedule():
      expected = torch.tensor(
          [
              1.0,
              0.59948425,
              0.35938137,
              0.21544347,
              0.12915497,
              0.07742637,
              0.04641589,
              0.02782559,
              0.01668101,
              0.01,
          ]
      )
      out = get_smld_sigma_schedule(
          sigma_min=0.01,
          sigma_max=1.0,
          num_scales=10,
      )
      assert torch.allclose(out, expected)
  
imports: import pytest
  import torch
  from torch_geometric.utils.noise_scheduler import get_diffusion_beta_schedule, get_smld_sigma_schedule
label_desc: Use image node_id 1 for calling a global function with example usage: test_get_smld_sigma_schedule() without return types