carbonai 0.2.1

Monitor the power consumption of a function

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.

Getting started

Install

First of all you need to install the intel utility allowing you to monitor power consumption (support):

• Windows
• MacOS
• Linux, no need to install any software

To install this package :

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:

from carbonai import PowerMeter
power_meter = PowerMeter(project_name="MNIST classifier")

@power_meter.measure_power(
  package="sklearn",
  algorithm="RandomForestClassifier",
  data_type="tabular",
  data_shape=<your_data>.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

from carbonai import PowerMeter
power_meter = PowerMeter(project_name="MNIST classifier")

with power_meter(
  package="sklearn",
  algorithm="RandomForestClassifier",
  data_type="tabular",
  data_shape=<your_data>.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