code: def linear_params(prefix=""):
      weight = torch.tensor([[0.02, 0.03]], dtype=torch.float32)
      bias = torch.tensor([0.05], dtype=torch.float32)
  
      return {f"{prefix}weight": weight, f"{prefix}bias": bias}
  
file_path: pytorch-meta/torchmeta/tests/modules/test_parallel.py
imports: import pytest
  import torch
  import torch.nn
  from torchmeta.modules import MetaLinear, MetaSequential
  from torchmeta.modules import DataParallel
  from torchmeta.utils.gradient_based import gradient_update_parameters
label_desc: Use image node_id 4 for calling a global function with example usage: linear_params(prefix) and returns: dict