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Level 1 (Core Data Flow Integration): - test_tensor_cnn.py: Tests Tensor ↔ CNN operations (Conv2D, flatten) with real tensors - test_tensor_autograd.py: Tests Tensor ↔ Autograd (Variable wrapping, forward/backward passes) - test_dataloader_tensor.py: Tests DataLoader ↔ Tensors (real data pipeline producing tensors) QA-structured tests with realistic scenarios: - Shape handling and data type preservation - Error handling and edge cases - Realistic ML pipeline integration - Batch processing and memory efficiency - Complex architectures and training scenarios Total: 43 new focused integration tests (13 + 14 + 16) Result: 77/79 integration tests passing (98% success rate) Missing tests now covered: real component integration vs mock-based testing