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

7550

Download files

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

Source Distribution

omniopt2-7550.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.

omniopt2-7550-py3-none-any.whl (379.0 kB view details)

Uploaded Python 3

File details

Details for the file omniopt2-7550.tar.gz.

File metadata

  • Download URL: omniopt2-7550.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 omniopt2-7550.tar.gz
Algorithm Hash digest
SHA256 3056a7a5257bb401023290e74b07ab6690d4873a4aef9b273f06d0f76ec93a37
MD5 39c1e0a0ee88eb6923b375f7de1c191d
BLAKE2b-256 823b05f12befeb1d9a2ca7506108defa2f172e04e135720e35b2cb895d4fd5e1

See more details on using hashes here.

File details

Details for the file omniopt2-7550-py3-none-any.whl.

File metadata

  • Download URL: omniopt2-7550-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 omniopt2-7550-py3-none-any.whl
Algorithm Hash digest
SHA256 a342ba9fd42e8fcba064c6b6efbd231243f66672f64ba25183509bc9ad1848b7
MD5 fa0edd42d46d51b1d2a8056f023788e2
BLAKE2b-256 cecbd94ce55422feefaeb6be57e8adf67aea5d58836de19eaeecdeda09a379b6

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