code: def _make_rand_data(self, device, dtype, input_shape):
      batch_size = input_shape[0]
      shape = input_shape[1:] if batch_size is None else input_shape
      return torch.rand(shape, device=device, dtype=dtype)
  
imports: import pytest
  import torch
  from kornia.geometry.liegroup import Se2, So2
  from kornia.geometry.vector import Vector2
  from kornia.testing import BaseTester
label_desc: Use image node_id 1 for calling the TestSe2 obj's underlying member method code with example usage: obj._make_rand_data(device, dtype, input_shape) and returns: torch