Files
TinyTorch/tests/integration
Vijay Janapa Reddi e5258bf2a2 Add comprehensive integration tests for missing component interactions
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
2025-07-13 23:26:38 -04:00
..