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=$(echo 'echo "RESULT: %(param)"' | base64 -w0) \
    --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. It is recommended to use the GUI, though.

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

Using live-share

Use --live_share (also enablable via GUI) to automatically share the job. You will get a URL where your job data is hosted publically for 30 days, meaning everyone can access your results, and you can see all kinds of visualizations and export them.

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 bleeding-edge version, but if you get the version from here it means, the test suite has completety tested it properly.

pip3 install omniopt2

Install from repo (bleeding edge, may contain untested changes)

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!

Issues

If you experience any problems, please write issues at my Github Issues page.

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

7580

Download files

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

Source Distribution

omniopt2-7580.tar.gz (168.0 kB view details)

Uploaded Source

Built Distribution

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

omniopt2-7580-py3-none-any.whl (379.0 kB view details)

Uploaded Python 3

File details

Details for the file omniopt2-7580.tar.gz.

File metadata

  • Download URL: omniopt2-7580.tar.gz
  • Upload date:
  • Size: 168.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for omniopt2-7580.tar.gz
Algorithm Hash digest
SHA256 ac87ae69225bb98c46adb288d68b0b81ed0d7d649736ed94adc527a9eb474187
MD5 89f451c2af0c5fb3651a7a8e783254be
BLAKE2b-256 095b5fced27e01e8c665fa94e40f3b868175e8cf6ea9c87e529728fb94994a61

See more details on using hashes here.

File details

Details for the file omniopt2-7580-py3-none-any.whl.

File metadata

  • Download URL: omniopt2-7580-py3-none-any.whl
  • Upload date:
  • Size: 379.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for omniopt2-7580-py3-none-any.whl
Algorithm Hash digest
SHA256 c508e717b68fee8154c8c7bfa829afa89259ce9e8bc1ccb49562c952f8f9e4d3
MD5 d96d79ea0ace5de74f4dbcca33f18f6f
BLAKE2b-256 88c6646a53b082c47f0199dbf747ef6440a424dbf108b2904f13fe33f311a8ae

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