class_docstr: test for annotations
code: def forward(self, input: torch.Tensor) -> torch.Tensor:
      return self.relu(input)
  
imports: import unittest
  import functools
  import torch
  import torch.nn.functional
  from nni.common.concrete_trace_utils import concrete_trace
  from nni.compression.pruning import L1NormPruner
  from nni.compression.speedup import ModelSpeedup
  from nni.compression.utils.counter import count_flops_params
label_desc: Use image node_id 2 for calling the WithAnno1 obj's underlying member method code with example usage: obj.forward(input) and returns: self