https://github.com/Capgemini-Invent-France/CarbonAI

Python package to monitor the power consumption of any algorithm
https://github.com/Capgemini-Invent-France/CarbonAI

Last synced: 2 months ago
JSON representation

Python package to monitor the power consumption of any algorithm

• Host: GitHub
• URL: https://github.com/Capgemini-Invent-France/CarbonAI
• Owner: Capgemini-Invent-France
• License: mit
• Created: 2021-09-30T17:12:13.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-10-17T13:51:06.000Z (about 2 years ago)
• Last Synced: 2024-09-26T09:41:52.590Z (3 months ago)
• Language: Python
• Homepage:
• Size: 1.96 MB
• Stars: 46
• Watchers: 3
• Forks: 12
• Open Issues: 23
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

• awesome-green-ai - carbonai - black?style=flat&logo=linux)    (🛠 Tools / Code-Based Tools)
• green-ai - [Source code

README

        
# CarbonAI

This project aims at creating a python package that allows you to monitor the power consumption of any python function.

## Documentation

The complete documentation is available [here](https://capgemini-invent-france.github.io/CarbonAI/).

## Getting started

### Install

First of all you need to install the intel utility allowing you to monitor power consumption ([support](https://software.intel.com/en-us/articles/intel-power-gadget)):

* [Windows](https://software.intel.com/file/823776/download)

* [MacOS](https://software.intel.com/sites/default/files/managed/91/6b/Intel%20Power%20Gadget.dmg)

* Linux, no need to install any software

To install this package :

```sh

pip install carbonai

```

### Example

There are several ways to use this package depending on how you develop.

You just have to import the `PowerMeter` object, initialize it and call the function you want to monitor.

Please insert a description of the running function, the dataset, the model, any info would be useful.

#### Function decorator

To monitor the power consumption of a function, follow this example:

```python

from carbonai import PowerMeter

power_meter = PowerMeter(project_name="MNIST classifier")

@power_meter.measure_power(

  package="sklearn",

  algorithm="RandomForestClassifier",

  data_type="tabular",

  data_shape=.shape,

  algorithm_params="n_estimators=300, max_depth=15",

  comments="Classifier trained on the MNIST dataset, 3rd test"

)

def my_func(arg1, arg2, ...):

  # Do something

```

#### Using the with statement

To monitor the power consumption of some specific inline code, you can use with statements

```python

from carbonai import PowerMeter

power_meter = PowerMeter(project_name="MNIST classifier")

with power_meter(

  package="sklearn",

  algorithm="RandomForestClassifier",

  data_type="tabular",

  data_shape=.shape,

  algorithm_params="n_estimators=300, max_depth=15",

  comments="Classifier trained on the MNIST dataset, 3rd test"

):

  # Do something

```

## Contribute

All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.

You can find details on how to contribute in [our guide](CONTRIBUTING.md)