code: def _scale_noise(self, size):
      x = torch.randn(size)
      return x.sign().mul_(x.abs().sqrt_())
  
file_path: SerpentAI/serpent/machine_learning/reinforcement_learning/rainbow_dqn/noisy_linear.py
imports: import math
  import torch
label_desc: Use image node_id 5 for calling the NoisyLinear obj's underlying member method code with example usage: obj._scale_noise(size) and returns: x