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

7593

Download files

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

Source Distribution

omniopt2-7593.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.

omniopt2-7593-py3-none-any.whl (379.0 kB view details)

Uploaded Python 3

File details

Details for the file omniopt2-7593.tar.gz.

File metadata

  • Download URL: omniopt2-7593.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 omniopt2-7593.tar.gz
Algorithm Hash digest
SHA256 21531123327e70a8ecefb40fbf738e75a14fe2491e10897b9abe99fcde83273d
MD5 32ed42b67c997afb31b16bef1c0ce9f3
BLAKE2b-256 395f55076746b772885fd37b5eb1f15f255e9a71beae05bb552d9354e9b6b61e

See more details on using hashes here.

File details

Details for the file omniopt2-7593-py3-none-any.whl.

File metadata

  • Download URL: omniopt2-7593-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 omniopt2-7593-py3-none-any.whl
Algorithm Hash digest
SHA256 2ceafe8973312d16b71196058f3bc69fce62b0119dd70bb9e883753af858c348
MD5 9f4ff4550418ef3d28fada8cc3085a89
BLAKE2b-256 7bb801368cb8ef2cbd44aafe2d91d1a0ef0d31c01df9db5f9015382e7385a0db

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