Differentiable linear model predictive control in Python.
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file qpmpc_layers-0.0.1.tar.gz.
File metadata
- Download URL: qpmpc_layers-0.0.1.tar.gz
- Upload date:
- Size: 86.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.25.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2b2ff4baf38ce3a91ddc8fa0aa3eb150fece8a62b454a72c958cf59b2afa8978
|
|
| MD5 |
6b2e4d2cd33a930525462f9998f74851
|
|
| BLAKE2b-256 |
505c09b46c47bdfc93a2adc5a511b12a7bee10c2f4eb57485ed3332ba4d50f6c
|
File details
Details for the file qpmpc_layers-0.0.1-py3-none-any.whl.
File metadata
- Download URL: qpmpc_layers-0.0.1-py3-none-any.whl
- Upload date:
- Size: 24.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.25.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1b3e07bba1b016d27a62ed55e8114971d180d38e87c2bf7e06ca65a5dc5107e7
|
|
| MD5 |
08a8f2a96b2ae8de8daa390364fcf02e
|
|
| BLAKE2b-256 |
a7eb00e3d7bd8afd7b9f5ae0f0f081411db277b882bf34101fd8efc86561a8c7
|