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

5197

Download files

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

Source Distribution

omniopt2-5197.tar.gz (135.7 kB view details)

Uploaded Source

Built Distribution

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

omniopt2-5197-py3-none-any.whl (312.5 kB view details)

Uploaded Python 3

File details

Details for the file omniopt2-5197.tar.gz.

File metadata

  • Download URL: omniopt2-5197.tar.gz
  • Upload date:
  • Size: 135.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for omniopt2-5197.tar.gz
Algorithm Hash digest
SHA256 225d1727bbdb3f9133f245f1e2f05beddc054d082e8597c898f5fc8433dbf7cb
MD5 d9b8fddd4dd2c62be29542a6d909d9d7
BLAKE2b-256 18cc5538d01a4ac8f9b65cd741c7f0aa2569461044041fe8c79060e603ef539c

See more details on using hashes here.

File details

Details for the file omniopt2-5197-py3-none-any.whl.

File metadata

  • Download URL: omniopt2-5197-py3-none-any.whl
  • Upload date:
  • Size: 312.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for omniopt2-5197-py3-none-any.whl
Algorithm Hash digest
SHA256 285c012d8f2efad8ae990002c10292e6cb01472c1645e72162a09375968d712f
MD5 f90dfa9453cf1ad1c433c73891a6983b
BLAKE2b-256 8f0f9f1aeda6528a242854f8357a7dfb5c054389c406ae1575cf3e4d37fedfb1

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