Deep Learning with PyTorch

  1. Model Deployment and Production
    1. Model Serialization
      1. Saving Complete Models
        1. torch.save() for Entire Model
          1. Model Architecture Preservation
          2. State Dictionary Approach
            1. Saving Model Parameters
              1. Loading State Dictionaries
                1. Architecture Reconstruction
                2. Checkpointing
                  1. Training State Preservation
                    1. Optimizer State Saving
                      1. Learning Rate Scheduler State
                        1. Random State Management
                        2. Model Versioning
                          1. Version Control Strategies
                            1. Model Registry
                          2. Inference Optimization
                            1. Evaluation Mode Setup
                              1. model.eval() Configuration
                                1. Batch Normalization Behavior
                                  1. Dropout Deactivation
                                  2. Gradient Computation Control
                                    1. torch.no_grad() Context
                                      1. Memory Optimization
                                      2. Batch Inference
                                        1. Batch Size Optimization
                                          1. Memory vs Speed Tradeoffs
                                          2. Model Optimization Techniques
                                            1. Layer Fusion
                                              1. Operator Optimization
                                            2. TorchScript
                                              1. TorchScript Overview
                                                1. Just-In-Time Compilation
                                                  1. Production Deployment
                                                  2. Model Scripting
                                                    1. torch.jit.script()
                                                      1. Python Subset Support
                                                      2. Model Tracing
                                                        1. torch.jit.trace()
                                                          1. Example Input Tracing
                                                          2. ScriptModule Creation
                                                            1. Scripted Module Benefits
                                                              1. C++ Runtime Compatibility
                                                              2. TorchScript Optimization
                                                                1. Graph Optimization
                                                                  1. Operator Fusion
                                                                2. Model Quantization
                                                                  1. Quantization Fundamentals
                                                                    1. Precision Reduction
                                                                      1. INT8 Quantization
                                                                        1. Performance Benefits
                                                                        2. Post-Training Quantization
                                                                          1. Static Quantization
                                                                            1. Dynamic Quantization
                                                                              1. Calibration Process
                                                                              2. Quantization-Aware Training
                                                                                1. Fake Quantization
                                                                                  1. Training with Quantization
                                                                                  2. Quantization Trade-offs
                                                                                    1. Accuracy vs Performance
                                                                                      1. Memory Reduction
                                                                                    2. Model Export Formats
                                                                                      1. ONNX Export
                                                                                        1. Open Neural Network Exchange
                                                                                          1. Cross-Framework Compatibility
                                                                                            1. torch.onnx.export()
                                                                                            2. TensorRT Integration
                                                                                              1. NVIDIA TensorRT
                                                                                                1. GPU Inference Optimization
                                                                                                2. Mobile Deployment
                                                                                                  1. PyTorch Mobile
                                                                                                    1. Model Size Optimization
                                                                                                  2. Model Serving
                                                                                                    1. TorchServe
                                                                                                      1. Model Server Setup
                                                                                                        1. Model Archive Creation
                                                                                                          1. REST API Deployment
                                                                                                          2. Custom Serving Solutions
                                                                                                            1. Flask/FastAPI Integration
                                                                                                              1. Docker Containerization
                                                                                                              2. Cloud Deployment
                                                                                                                1. AWS SageMaker
                                                                                                                  1. Google Cloud AI Platform
                                                                                                                    1. Azure Machine Learning

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                                                                                                                10. Practical Considerations and Best Practices