code: def make_linear_layer(dim_in, dim_out):
      lin = nn.Linear(dim_in, dim_out)
      torch.nn.init.uniform_(lin.weight, -0.07, 0.07)
      torch.nn.init.zeros_(lin.bias)
      return lin
  
file_path: gluonts/src/gluonts/torch/model/simple_feedforward/module.py
imports: from typing import List, Optional, Tuple
  import torch
  from torch import nn
  from gluonts.core.component import validated
  from gluonts.model import Input, InputSpec
  from gluonts.torch.distributions import Output, StudentTOutput
  from gluonts.torch.util import weighted_average
label_desc: Use image node_id 2 for calling a global function with example usage: make_linear_layer(dim_in, dim_out) and returns: lin