Minimal PyTorch Library for Differential Evolution
Requirements
numpy
torch
Optional
mpi4py # If you want to run in parallel
gym # For examples
To install mpi4py you need MPI installed in the system.
Check: https://mpi4py.readthedocs.io/en/stable/install.html
A Dockerfile is provided for convenience.
Installation
pip install detorch --user
Source
git clone --recursive https://github.com/goktug97/de-torch
cd de-torch
python3 setup.py install --user
Usage
See https://github.com/goktug97/de-torch/blob/master/examples
Check https://github.com/goktug97/de-torch/blob/master/detorch/config.py for parameters.
You can run the example with
PYTHONPATH="$(pwd):$PYTHONPATH" python examples/example.py
or in parallel for faster training (requires mpi4py).
PYTHONPATH="$(pwd):$PYTHONPATH" mpirun -np 2 python examples/example.py
Another Evolution Library for PyTorch
1 maintainer
Release files for detorch 1.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| detorch-1.2.4.tar.gz | 10.5 kB | Details |
Release files / detorch-1.2.4.tar.gz
| Download URL | detorch-1.2.4.tar.gz |
|---|---|
| Size | 10.5 kB |
| Tags | Source |
|
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twine/3.4.2 importlib_metadata/3.10.1 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
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