code: def test_spatial_transformer_geglu_approx_ff_layers(self):
      spatial_transformer_block = Transformer2DModel(
          num_attention_heads=1,
          attention_head_dim=32,
          in_channels=32,
          activation_fn="geglu-approximate",
      )
  
      assert (
          spatial_transformer_block.transformer_blocks[0]
          .ff.net[0]
          .__class__
          == ApproximateGELU
      )
      assert (
          spatial_transformer_block.transformer_blocks[0]
          .ff.net[1]
          .__class__
          == nn.Dropout
      )
      assert (
          spatial_transformer_block.transformer_blocks[0]
          .ff.net[2]
          .__class__
          == LoRACompatibleLinear
      )
  
      dim = 32
      inner_dim = 128
  
      # First dimension change
      assert (
          spatial_transformer_block.transformer_blocks[0]
          .ff.net[0]
          .proj.in_features
          == dim
      )
      assert (
          spatial_transformer_block.transformer_blocks[0]
          .ff.net[0]
          .proj.out_features
          == inner_dim
      )
  
      # Second dimension change
      assert (
          spatial_transformer_block.transformer_blocks[0]
          .ff.net[2]
          .in_features
          == inner_dim
      )
      assert (
          spatial_transformer_block.transformer_blocks[0]
          .ff.net[2]
          .out_features
          == dim
      )
  
imports: import unittest
  import numpy
  import torch
  from torch import nn
  from diffusers.models.attention import GEGLU, AdaLayerNorm, ApproximateGELU
  from diffusers.models.embeddings import get_timestep_embedding
  from diffusers.models.lora import LoRACompatibleLinear
  from diffusers.models.resnet import Downsample2D, ResnetBlock2D, Upsample2D
  from diffusers.models.transformer_2d import Transformer2DModel
  from diffusers.utils.testing_utils import torch_device
label_desc: Use image node_id 9 for calling the Transformer2DModelTests obj's underlying member method code with example usage: obj.test_spatial_transformer_geglu_approx_ff_layers() without return types