Skip to main content

Automatic highly parallelized hyperparameter optimizer based on Ax/Botorch

Project description

OmniOpt2 - Hyperparameter Optimizer for SLURM-based Systems

Current build status

OmniOpt2 is a tool designed to assist researchers, engineers, and data scientists with hyperparameter optimization on SLURM-based clusters, even though it works without it as well. It simplifies large-scale optimization tasks with built-in fault tolerance and flexibility. A graphical user interface (GUI) is available for command creation, accessible at OmniOpt2 GUI. For tutorials on configuration, exit codes, and debugging, visit OmniOpt2 Tutorials.

Main program

omniopt --partition=alpha --experiment_name=example --mem_gb=1 --time=60 \
    --worker_timeout=60 --max_eval=500 --num_parallel_jobs=500 --gpus=1 \
    --follow --run_program=ZWNobyAiUkVTVUxUOiAlKHBhcmFtKSI= \
    --parameter param range 0 1000 float

This command initiates OmniOpt2 and installs dependencies if not already installed. The parameter --run_program uses a Base64-encoded string to specify commands.

Plot Results

Generates visualizations, such as scatter and hex scatter plots. --min and --max adjust the plotted result value range.

Or, with --min and --max:

omniopt_plot --run_dir runs/example/0
omniopt_plot --run_dir runs/example/0 --min 0 --max 100

Run Tests (Developer Use Only)

The test suite simulates various scenarios, including handling faulty jobs and ensuring program resilience.

./tests/main

See the automated tests tutorial page for more details.

Install from pypi

This may not use the latest version.

pip3 install omniopt2

Install from repo

pip3 install -e git+https://github.com/NormanTUD/OmniOpt2.git#egg=OmniOpt2

Alternatively, it can be executed directly, as OmniOpt2 will install its dependencies automatically if required.

Error Codes

For common issues and exit codes, see the exit codes tutorial-page.

Autocompletions

Autocomplete files for zsh and bash are in .shells. Run

bash .shells/install

to install them.

Contributions

I'd be glad to see your contributions!

Old OmniOpt

The old OmniOpt version, based on HyperOpt, is not supported anymore. It is still available, though, at https://github.com/NormanTUD/LegacyOmniOpt.

Project details


Release history Release notifications | RSS feed

This version

5664

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

omniopt2-5664.tar.gz (139.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

omniopt2-5664-py3-none-any.whl (320.4 kB view details)

Uploaded Python 3

File details

Details for the file omniopt2-5664.tar.gz.

File metadata

  • Download URL: omniopt2-5664.tar.gz
  • Upload date:
  • Size: 139.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for omniopt2-5664.tar.gz
Algorithm Hash digest
SHA256 74904f18b9e2dafb37d7980d63b0850a7250ea077e5bb58d3b385c0f3e1758f3
MD5 487153a8f21c17838b7f191ee48eeb25
BLAKE2b-256 1ae7f3e54bdf7a464fabbc2084f03d3d98e267beb870265c973d65712f013141

See more details on using hashes here.

File details

Details for the file omniopt2-5664-py3-none-any.whl.

File metadata

  • Download URL: omniopt2-5664-py3-none-any.whl
  • Upload date:
  • Size: 320.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for omniopt2-5664-py3-none-any.whl
Algorithm Hash digest
SHA256 95e0eeb874f6ce03803e2b956dad65d527bf2976eee94074387e101e19f7bf6f
MD5 b2f2b49c4f0628349ce196a2a8793e95
BLAKE2b-256 05a28292580f17e5fa123ff9ed673db672973048bc6d01f3d884a5780027fad8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page