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
Metadata
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 | Provenance | Actions |
|---|---|---|---|---|
| detorch-1.2.4.tar.gz | 10.5 kB | Without provenance | Details for detorch-1.2.4.tar.gz |
Release files / detorch-1.2.4.tar.gz
| Download URL | detorch-1.2.4.tar.gz |
|---|---|
| Size | 10.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e4215e81df13ff13cb73996b01de1f3929fef4eb38013bee45ce2f2cd27aa7bd
|
|
BLAKE2b-256 checksum How to use checksums |
a67ee7479188278bf3ca83aa5db6dcdd1a9aa81cb93b24f7dbea482a45254d94
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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
|
Security for detorch 1.2.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.