code: def get_forward_arguments(self, query_dim, added_kv_proj_dim):
      batch_size = 2
  
      hidden_states = torch.rand(batch_size, query_dim, 3, 2)
      encoder_hidden_states = torch.rand(
          batch_size, 4, added_kv_proj_dim
      )
      attention_mask = None
  
      return {
          "hidden_states": hidden_states,
          "encoder_hidden_states": encoder_hidden_states,
          "attention_mask": attention_mask,
      }
  
file_path: diffusers/tests/models/test_attention_processor.py
imports: import tempfile
  import unittest
  import numpy
  import torch
  from diffusers import DiffusionPipeline
  from diffusers.models.attention_processor import Attention, AttnAddedKVProcessor
label_desc: Use image node_id 2 for calling the AttnAddedKVProcessorTests obj's underlying member method code with example usage: obj.get_forward_arguments(query_dim, added_kv_proj_dim) and returns: dict