Testing optimized SpikingVGG forward...
Testing on device: cuda
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: 3.7419 ✓

[Test 3] Backward pass...
  Loss: 7.8463 ✓
  Gradient norm: 31.7484 ✓
  No NaN gradients ✓

[Test 4] Multiple training steps...
  Step 1: loss=7.9773, λ=3.7339
  Step 2: loss=13.1875, λ=4.3379
  Step 3: loss=8.0979, λ=3.7268
  Step 4: loss=9.2944, λ=3.9946
  Step 5: loss=10.2174, λ=3.8627

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ALL TESTS PASSED!
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Done!