class_docstr: Create a linear classifier with pooling
class_docstr_tok: ["Create","a","linear","classifier","with","pooling"]
code: def forward(self, input):
      out, mask = input
      x = masked_concat_pool(out, mask, self.bptt)
      x = self.layers(x)
      return x, out, out
  
imports: from __future__ import annotations
  from ...data.all import *
  from ..core import *
  from .awdlstm import *
label_desc: Use image node_id 2 for calling the PoolingLinearClassifier obj's underlying member method code with example usage: obj.forward(input) and returns: x,  out,  out