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

5620

Download files

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

Source Distribution

omniopt2-5620.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.

omniopt2-5620-py3-none-any.whl (320.2 kB view details)

Uploaded Python 3

File details

Details for the file omniopt2-5620.tar.gz.

File metadata

  • Download URL: omniopt2-5620.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 omniopt2-5620.tar.gz
Algorithm Hash digest
SHA256 6562fc3e8f79a8f787ccc54ce642ea9dc901e5d8a42b6f73390f997dd680ebfb
MD5 98075ec161d18bc5a80060fb983512dc
BLAKE2b-256 9b96fd3a08e5370f8e6299dd0a0c045c970baaa3291bcf3e899475b8c10a5539

See more details on using hashes here.

File details

Details for the file omniopt2-5620-py3-none-any.whl.

File metadata

  • Download URL: omniopt2-5620-py3-none-any.whl
  • Upload date:
  • Size: 320.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for omniopt2-5620-py3-none-any.whl
Algorithm Hash digest
SHA256 726d6e9bd30f98b4a193941a45ff486844cc42dc0fa8feda389842f8fbe6756e
MD5 e02650fbd7a2415d63b3eb9dec22833f
BLAKE2b-256 290ced74a7315af68e5cd42eb7de7cac75758cae5e89d77809dd566296118fbc

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