Update dependencies: modernize PyTorch versions and separate dev depe…#12
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…ndencies This commit addresses outdated dependencies and improves dependency management: Changes: - Update PyTorch from 1.6.0 (2020) to latest stable (2.0.0+) - Update torchvision from 0.7.0 (2020) to latest compatible version (0.15.0+) - Add minimum version constraints for devito (>=4.8.0) - Separate runtime and development dependencies: * requirements.txt: Core runtime deps (devito, torch) * requirements-dev.txt: Test-only deps (pytest, torchvision, numpy) - Update CI workflow to use modern PyTorch CPU builds - Update Dockerfile to use latest PyTorch versions - Update pip cache key to reflect new requirements structure Benefits: - Removes 5+ year old security-outdated packages - Clarifies which dependencies are needed for runtime vs testing - Allows users to install Joey without test-only bloat - Maintains compatibility with modern Python ecosystems - No known security vulnerabilities (verified with pip-audit) Torchvision moved to dev dependencies as it's only used in test_lenet.py for MNIST dataset loading.
This notebook provides a detailed performance benchmark comparing Joey and PyTorch implementations of LeNet-5 on the MNIST dataset. Features: - Complete LeNet-5 implementation in both Joey and PyTorch - Performance benchmarks for: * Forward pass (with statistical analysis) * Backward pass (gradient computation) * Complete training loop - Visualization of comparative results - Numerical correctness verification - Detailed Portuguese documentation The notebook demonstrates: - How to build CNNs with Joey - Fair performance comparison with identical initial weights - Statistical analysis with mean and standard deviation - Visual comparisons through matplotlib charts This provides a practical example for users to understand Joey's performance characteristics compared to the industry-standard PyTorch.
Added a new section (0. Instalação) with: - Automatic installation script for Joey and dependencies - Multiple installation options (GitHub, local clone, manual) - Dependency checking for torchvision and matplotlib - Clear instructions in Portuguese for users - Handles missing Joey package gracefully This makes the notebook standalone and easier to use for new users.
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…ndencies
This commit addresses outdated dependencies and improves dependency management:
Changes:
Benefits:
Torchvision moved to dev dependencies as it's only used in test_lenet.py for MNIST dataset loading.