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Module Integration Testing When integrating new modules into your deep learning pipeline, it's essential to verify their functionality before full-scale deployment. Create a dedicated test script (e.g., verify_module.py) to validate the module's behavior. Generate random input tensors using torch.randn(batch_size, channels, height, width) that ...