docstr: Provide different tensors as test cases.
  
  Yield:
      (torch.tensor): tensor as test case input.
docstr_tok: ["Provide","different","tensors","as","test","cases",".","Yield",":","(","torch.tensor",")",":","tensor","as","test","case","input","."]
code: def _get_inputs() -> torch.tensor:
      """
      Provide different tensors as test cases.
  
      Yield:
          (torch.tensor): tensor as test case input.
      """
      # Prepare random inputs as test cases.
      shapes = ((2, 8),)
      for shape in shapes:
          yield torch.rand(shape), torch.rand(shape)
  
file_path: pytorchvideo/tests/test_models_byol.py
imports: import unittest
  import torch
  from pytorchvideo.models.byol import BYOL
  from torch import nn
label_desc: Use image node_id 3 for calling the TestBYOL obj's underlying member method code with example usage: obj._get_inputs() without return types