code: def free_parameters(self) -> Dict[str, torch.Tensor]:
      return {
          n: p for n, p in self.named_parameters() if p.requires_grad
      }
  
imports: from contextlib import nullcontext
  from functools import partial
  from typing import Dict
  from unittest.mock import MagicMock
  import numpy
  import torch
  from botorch.optim.closures.core import ForwardBackwardClosure, get_tensors_as_ndarray_1d, NdarrayOptimizationClosure
  from botorch.optim.utils import as_ndarray
  from botorch.utils.context_managers import zero_grad_ctx
  from botorch.utils.testing import BotorchTestCase
  from linear_operator.utils.errors import NanError, NotPSDError
  from torch.nn import Module, Parameter
label_desc: Use image node_id 3 for calling the ToyModule obj's underlying member method code with example usage: obj.free_parameters() and returns: unknown