code: def test_basic_new_full(self):
      class SimpleOp(nn.Module):
          def forward(self, x):
              # requires_grad is not supported by jit
              # aten::new_full(Tensor self, int[] size, Scalar fill_value, *, int? dtype=None, int? layout=None, Device? device=None, bool? pin_memory=None) -> (Tensor):
              # Keyword argument requires_grad unknown.
              out = x.new_full(
                  (3, 4),
                  3.141592,
                  dtype=torch.float32,
                  device=torch.device("cpu"),
              )
              return out
  
      self.checkExportImport(
          SimpleOp(), (torch.ones((2,), dtype=torch.float64),)
      )
  
imports: import unittest
  import torch
  import nni.nas.nn.pytorch.layers
  from .convert_mixin import ConvertMixin, ConvertWithShapeMixin
label_desc: Use image node_id 1 for calling the TestConvert obj's underlying member method code with example usage: obj.test_basic_new_full() and returns: out