docstr: Returns a list of view representations.
  
  Example output:
      [
          torch.Tensor([img0_view0, img1_view0]),
          torch.Tensor([img0_view1, img1_view1])
      ]
docstr_tok: ["Returns","a","list","of","view","representations",".","Example","output",":","[","torch.Tensor","(","[","img0_view0",",","img1_view0","]",")",",","torch.Tensor","(","[","img0_view1",",","img1_view1","]",")","]"]
code: def generate_output(
      self, batch_size=2, n_views=3, output_dim=4, seed=0
  ):
      """Returns a list of view representations.
  
      Example output:
          [
              torch.Tensor([img0_view0, img1_view0]),
              torch.Tensor([img0_view1, img1_view1])
          ]
  
      """
      torch.manual_seed(seed)
      out = []
      for _ in range(n_views):
          views = [torch.rand(output_dim) for _ in range(batch_size)]
          out.append(torch.stack(views))
      return out
  
file_path: lightly/tests/loss/test_DINOLoss.py
imports: import copy
  import itertools
  import unittest
  import numpy
  import torch
  import torch.nn.functional
  from torch import nn
  from lightly.loss import DINOLoss
  from lightly.models.utils import deactivate_requires_grad
label_desc: Use image node_id 1 for calling the TestDINOLoss obj's underlying member method code with example usage: obj.generate_output(batch_size, n_views, output_dim, seed) and returns: out