Testing optimized SpikingVGG forward...
Testing on device: cuda
Using: Global delta + Global renorm (Option 1 - textbook LE)
Model depth: 6 conv layers
Parameters: 1,187,274

[Test 1] Forward without Lyapunov...
  Logits shape: torch.Size([8, 10]) ✓

[Test 2] Forward with Lyapunov...
  Logits shape: torch.Size([8, 10]) ✓
  Lyapunov exponent: 3.3281 ✓

[Test 3] Backward pass...
  Loss: 5.3691 ✓
  Gradient norm: 25.8283 ✓
  No NaN gradients ✓

[Test 4] Multiple training steps...
  Step 1: loss=7.0680, λ=3.0538
  Step 2: loss=7.3570, λ=3.2788
  Step 3: loss=8.4584, λ=2.8295
  Step 4: loss=5.7036, λ=3.3123
  Step 5: loss=7.4161, λ=3.4701

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ALL TESTS PASSED!
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Done!