code: def get_constructor_arguments(
      self, only_cross_attention: bool = False
  ):
      query_dim = 10
  
      if only_cross_attention:
          cross_attention_dim = 12
      else:
          # when only cross attention is not set, the cross attention dim must be the same as the query dim
          cross_attention_dim = query_dim
  
      return {
          "query_dim": query_dim,
          "cross_attention_dim": cross_attention_dim,
          "heads": 2,
          "dim_head": 4,
          "added_kv_proj_dim": 6,
          "norm_num_groups": 1,
          "only_cross_attention": only_cross_attention,
          "processor": AttnAddedKVProcessor(),
      }
  
file_path: llmga/llmga/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 1 for calling the AttnAddedKVProcessorTests obj's underlying member method code with example usage: obj.get_constructor_arguments(only_cross_attention) and returns: dict