code: def forward(self, input_ids: torch.Tensor):
      x = self.emb(input_ids)
      x = self.linear1(x)
      x = self.relu(x)
      x = self.linear2(x)
      x = torch.matmul(x, x.transpose(0, 1))
      x = self.softmax(x)
      return x
  
file_path: optimum/tests/fx/test_quantization.py
imports: import unittest
  import torch
  from torch.ao.quantization.quantize_fx import fuse_fx
  from torch.ao.quantization.quantize_fx import prepare_fx
  from torch.ao.quantization.quantize_fx import prepare_qat_fx
  from transformers import PretrainedConfig
  from optimum.fx.utils import are_fx_features_available
label_desc: Use image node_id 2 for calling the DummyModel obj's underlying member method code with example usage: obj.forward(input_ids) and returns: x