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evox-0.0.3
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evox
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | evox-0.0.3 |
| نام | evox |
| نسخه کتابخانه | 0.0.3 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | Bill Huang <bill.huang2001@gmail.com>, Christina Lee <1315552992@qq.com>, Zhenyu Liang <zhenyuliang97@gmail.com> |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/evox/ |
| مجوز | BSD 3-Clause License Copyright (c) 2022, EMI-Group All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
# EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation
<h4 align="left">
[<a href="https://evox.readthedocs.io/">Docs</a>]
[<a href="https://arxiv.org/abs/2301.12457">Paper</a>]
</h4>
## Features
- Single-objective and multi-objective algorithms.
- GPU computing.
- Easy to use distributed pipeline.
- Support a wide range of problems.
- Hierarchical state managing.
### Index
- [Getting started](#getting-started)
- [Example](#exmaple)
## Installation
``
pip install evox
``
## Getting started
To start with, import `evox`
```python
import evox
from evox import algorithm, problem, pipeline
```
Then, create an algorithm and a problem:
```python
pso = algorithms.PSO(
lb=jnp.full(shape=(2,), fill_value=-32),
ub=jnp.full(shape=(2,), fill_value=32),
pop_size=100,
)
ackley = problems.classic.Ackley()
```
The algorithm and the problem are composed together using `pipeline`:
```python
pipeline = pipelines.StdPipeline(pso, ackley)
```
To initialize the whole pipeline, call `init` on the pipeline object with a PRNGKey. Calling `init` will recursively initialize a tree of objects, meaning the algorithm pso and problem ackley are automatically initialize as well.
```python
key = jax.random.PRNGKey(42)
state = pipeline.init(key)
```
To run the pipeline, call `step` on the pipeline.
```python
# run the pipeline for 100 steps
for i in range(100):
state = pipeline.step(state)
```
For more detailed usage, please refer to our [documentation](https://evox.readthedocs.io/).
## Exmaple
The [example](https://github.com/EMI-Group/evox/tree/main/examples) folder has many examples on how to use EvoX.
نیازمندی
| مقدار | نام |
|---|---|
| >=0.3.0 | jax |
| >=0.3.0 | jaxlib |
| >=0.1.0 | optax |
| >=2.4.0 | bokeh |
| >=2.0.0 | ray |
| >=0.26.0 | gym |
| >=2.0.0 | ray |
| >=1.0.0 | torch |
| >=0.1.0 | torchvision |
| >=0.26.0 | gym |
| >=1.0.0 | torch |
| >=0.1.0 | torchvision |
| >=0.1.0 | chex |
| >=0.5.0 | flax |
| >=6.0.0 | pytest |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl evox-0.0.3:
pip install evox-0.0.3.whl
نصب پکیج tar.gz evox-0.0.3:
pip install evox-0.0.3.tar.gz