code: def reset_parameters(self, *args, **kwargs):
      with torch.no_grad():
          self.net1.weight.fill_(0.5)
          self.net2.weight.fill_(1)
          self.net1.bias.fill_(1.5)
          self.net2.bias.fill_(1.2)
  
imports: import torch
  import torch.nn.functional
  from numpy.testing import assert_array_equal
  from torch.distributed._functional_collectives import AsyncCollectiveTensor
  from torch.distributed._tensor import DeviceMesh, distribute_tensor, DTensor, init_device_mesh
  from torch.distributed._tensor.placement_types import _Partial, Replicate, Shard
  from torch.distributed.tensor.parallel import ColwiseParallel, parallelize_module, RowwiseParallel
  from torch.testing._internal.common_utils import run_tests
  from torch.testing._internal.distributed._tensor.common_dtensor import DTensorTestBase, with_comms
label_desc: Use image node_id 3 for calling the DummyMLP obj's underlying member method code with example usage: obj.reset_parameters() without return types