code: def test_invalid_filter_idx_too_large(conv_layer, g_ascent):
      with pytest.raises(ValueError):
          # Target conv layer has 64 filters
          g_ascent.optimize(conv_layer, 70, num_iter=2)
  
imports: import inspect
  import pytest
  from os import path
  import numpy
  import torchvision.models
  from flashtorch.activmax import GradientAscent
  from flashtorch.utils import apply_transforms
label_desc: Use image node_id 13 for calling a global function with example usage: test_invalid_filter_idx_too_large(conv_layer, g_ascent) without return types