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 = (
          (1, 8),
          (2, 8),
      )
      for shape in shapes:
          yield torch.rand(shape), torch.rand(shape)
  
file_path: pytorchvideo/tests/test_simclr.py
imports: import unittest
  import torch
  from pytorchvideo.models.simclr import SimCLR
  from torch import nn
label_desc: Use image node_id 3 for calling the TestSimCLR obj's underlying member method code with example usage: obj._get_inputs() without return types