qpmpc_layers
Differentiable linear model predictive control in Python, for optimal-control problems that are quadratic programs. This library revisits qpmpc with a new API better suited to PyTorch, and builds upon QPLayer to solve QPs as part of PyTorch computation graphs.
[!WARNING] qpmc_layers is still under development, expect breaking changes.
Feel also free to join the discussion or add work-in-progress examples at this stage.
Development
- Checking unit tests:
pixi run -e py310 test - Building and opening the documentation locally:
pixi run docs-open
1 maintainer
Metadata
1 maintainer
Release files for qpmpc_layers 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qpmpc_layers-0.0.1.tar.gz | 86.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qpmpc_layers-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 110.8 kB
Release files / qpmpc_layers-0.0.1.tar.gz
| Download URL | qpmpc_layers-0.0.1.tar.gz |
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| Size | 86.7 kB |
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Release files / qpmpc_layers-0.0.1-py3-none-any.whl
| Download URL | qpmpc_layers-0.0.1-py3-none-any.whl |
|---|---|
| Size | 24.1 kB |
| Tags | Python 3 |
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