code: def forward(self, x):
      x = self.base.forward_features(x)
      x = F.avg_pool2d(x, kernel_size=self.original_pool, stride=1)
      x = self.fc(x)
      x = adaptive_avgmax_pool2d(x, 1)
      return x.view(x.size(0), -1)
  
file_path: pytorch-image-models/timm/layers/test_time_pool.py
imports: import logging
  from torch import nn
  import torch.nn.functional
  from .adaptive_avgmax_pool import adaptive_avgmax_pool2d
label_desc: Use image node_id 2 for calling the TestTimePoolHead obj's underlying member method code with example usage: obj.forward(x) and returns: x