code: def forward(self, input):
      out = torch.fbgemm_linear_fp16_weight_fp32_activation(
          input.float(), self.packed_weight, self.bias
      )
      return out
  
imports: import warnings
  from typing import List, Optional, Tuple
  import torch
  from torch import _VF, Tensor
  from torch.nn.utils.rnn import PackedSequence
label_desc: Use image node_id 4 for calling the QuantizedLinearFP16 obj's underlying member method code with example usage: obj.forward(input) and returns: out