Codegreen

Codegreen is a Python package and CLI tool for energy profiling of Python code. It allows measuring the energy consumption of Deep learning framework APIs like TensorFlow.

Prerequisites

Codegreen requires the following hardware:

• Intel processor
• NVIDIA GPU

The Intel processor is needed for accessing the RAPL power sensors. An NVIDIA GPU is required for profiling GPU usage via nvidia-smi.

Make sure to add your respective local paths to the following files after installation:

• codegreen/fecom/patching/patching_config.py
• codegreen/fecom/measurement/measurement_config.py

Installation

pip install codegreen

Or install from source:

git clone https://github.com/user/codegreen
cd codegreen
pip install .

Usage

As a CLI

Run codegreen --help to see the CLI options:

Usage: codegreen [OPTIONS] COMMAND [ARGS]...                              
                                                                          
🍃 CodeGreen: Your Passport to a Greener Code! 🍃                         
                                                                          
╭─ Options ──────────────────────────────────────────────────────────────╮
│ --install-completion        [bash|zsh|fish|power    Install completion   │
│                              shell|pwsh]            for the specified    │  
│                                                      shell.             │
│ --show-completion           [bash|zsh|fish|power    Show completion for  │
│                              shell|pwsh]            the specified shell, │
│                                                      to copy it or       │
│                                                      customize the       │
│                                                      installation.       │
│ --help                                              Show this message and│
│                                                      exit.               │  
╰────────────────────────────────────────────────────────────────────────╯
╭─ Commands ─────────────────────────────────────────────────────────────╮
│ project-patcher            Patch scripts for measurement │
│ run-energy-profiler        Start measurement server │   
│ start-energy-measurement   Run patched scripts and collect data │
╰────────────────────────────────────────────────────────────────────────╯

Basic usage:

codegreen project-patcher --project myscripts/

Patch all Python scripts in myscripts/ for instrumentation. Patched projects are saved with a _patched suffix.

codegreen run-energy-profiler

This will start the energy measurement server.

codegreen start-energy-measurement --project repo_dir --scripts script_to_run --iterations "5"

This will run the patched scripts for project repo_dir, scripts script_to_run and number of run iterations n and collect power usage data. Save the energy profiles and execution logs under experiments/.

As a Python package

import codegreen

codegreen.profile(my_function)

See the API documentation for more details.

Code Structure

• codegreen/: Source code
  • main.py: Main CLI entry point
  • fecom/: Core measurement functionality
    • patching/: Code instrumentation
    • measurement/: Measurement and output
    • experiment/: Experimental configurations
  • utils/: utility functions

License

codegreen is licensed under the Apache 2.0. See LICENSE for more details.