code: def forward(self, t, y):
      return 2 * y / t + t**4 * torch.sin(2 * t) - t**2 + 4 * t**3
  
file_path: torchdiffeq/tests/problems.py
imports: import math
  import numpy
  import scipy.linalg
  import torch
label_desc: Use image node_id 1 for calling the SineODE obj's underlying member method code with example usage: obj.forward(t, y) and returns: unknown