code: def forward(self, t, x):
      self.nfe += 1
      out = self.linears(x)
      if self.oscillate:
          out = out * t.mul(2).sin()
      return out
  
file_path: torchdiffeq/tests/norm_tests.py
imports: import contextlib
  import unittest
  import torch
  import torchdiffeq
  from problems import DTYPES, DEVICES, ADAPTIVE_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