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

5412

Download files

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

Source Distribution

omniopt2-5412.tar.gz (136.7 kB view details)

Uploaded Source

Built Distribution

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

omniopt2-5412-py3-none-any.whl (315.1 kB view details)

Uploaded Python 3

File details

Details for the file omniopt2-5412.tar.gz.

File metadata

  • Download URL: omniopt2-5412.tar.gz
  • Upload date:
  • Size: 136.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for omniopt2-5412.tar.gz
Algorithm Hash digest
SHA256 c8296b5303fffa69b02dc94703a30bc49801793930c00392897b56e509a6faaa
MD5 05cd4696f535357286ac75d7c23b9b7a
BLAKE2b-256 7cd1c5ba77035334fb74ef2d695e7c7c57cf552e7b0a57d2c4d4e83b888c1ead

See more details on using hashes here.

File details

Details for the file omniopt2-5412-py3-none-any.whl.

File metadata

  • Download URL: omniopt2-5412-py3-none-any.whl
  • Upload date:
  • Size: 315.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for omniopt2-5412-py3-none-any.whl
Algorithm Hash digest
SHA256 447d6e801f31fdd88d74cceed6981efe89def9e1c1f418769286451b2e1b2f6f
MD5 0cd962e85e87fe39a2a58e4d757ab460
BLAKE2b-256 d7961c9b55bbf2073ae1eebdd5ebb8f221e7e83672a32d0c15617e4c6ab263c2

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