Implements the core Tensor class with data handling and properties, including initialization, shape, size, dtype, and string representation.
Adds element-wise addition and multiplication functions for tensors.
Implements tensor addition and multiplication as methods within the Tensor class.
- Add template section to tensor, layers, activations, and cnn modules
- Create docs/development/module-template.md for future reference
- Clarify learning vs building structure consistently
- Show students where their code will live in the final package
- Decouple learning modules from production organization
- Restored tools/py_to_notebook.py as a focused, standalone tool
- Updated tito notebooks command to use subprocess to call the separate tool
- Maintains clean separation of concerns: tito.py for CLI orchestration, py_to_notebook.py for conversion logic
- Updated documentation to use 'tito notebooks' command instead of direct tool calls
- Benefits: easier debugging, better maintainability, focused single-responsibility modules
- Fixed module-level tests to work with current implementation
- Added stretch goal testing pattern with pytest.skip()
- Created comprehensive testing documentation
- Both test levels now pass: 29 package tests + 22 module tests
- 11 stretch goals available for student implementation
Package tests (integration): ✅ 29/29 passed
Module tests (development): ✅ 22/22 passed, 11 skipped (stretch goals)
This provides immediate functionality for students while offering
clear implementation targets for advanced features.
- Fix CLI tool to look for tests in modules/{module}/tests/ instead of tests/
- Update test imports to use parent directory module imports
- Update Cursor rules to reflect new test structure:
* Project structure shows tests/ subdirectory
* Testing patterns show correct paths and import patterns
* Development workflow shows updated test locations
- Test imports now work: from tensor_dev import Tensor
- CLI commands now find tests in correct locations
Tests are now properly organized and discoverable
- Move test_tensor.py to modules/tensor/tests/test_tensor.py
- Create tests/ directories in setup and tensor modules
- Clean up setup module: remove setup_dev.html, setup_dev_files/, __init__.py
- Establish clean module structure pattern:
* {module}_dev.py - Main development file
* {module}_dev.ipynb - Generated notebook
* README.md - Module documentation
* tests/ - Test directory with test_{module}.py
This makes it crystal clear to students where tests are located.
- Removed modules/setup/setup_nbdev_educational.* files
- Keep only the clean setup_dev.* files
- Setup module now focused and clean
- NBDev features work behind scenes without clutter
- Create tensor_nbdev_educational.py with NBDev directives
- Demonstrate #|hide, #|code-fold, #|filter_stream features
- Convert using standard Jupytext (# %% markers)
- Add comprehensive guides and comparisons
- Show superior approach vs custom generator
Key insight: NBDev already has mature educational capabilities!
No need to build custom tools when industry standards exist.
Updates references to the development notebook naming convention from `[module].ipynb` to `[module]_dev.ipynb` in documentation. This change ensures consistency across the project and aligns with the intended naming scheme for development notebooks.
Introduces a standardized module structure with README, notebooks, tutorials, tests, and solutions.
Refactors the project to emphasize a modular learning path, enhancing clarity and consistency across the TinyTorch course.
Changes the virtual environment path to ".venv".
