code: def forward(self, t, x):
      self.nfe += 1
      out = self.linears(x)
      if self.oscillate:
          out = out * t.mul(20).sin()
      return out
  
imports: from functools import partial
  import unittest
  import warnings
  import torch
  import torchdiffeq
  from problems import construct_problem, PROBLEMS, DTYPES, DEVICES, METHODS, ADAPTIVE_METHODS, FIXED_METHODS, SCIPY_METHODS
label_desc: Use image node_id 2 for calling the _NeuralF obj's underlying member method code with example usage: obj.forward(t, x) and returns: out