Factual package intelligence from PyPI

hardware-ml-benchmark 0.2.1 package intelligence

A hardware benchmarking tool for evaluating the inference performance of deep learning models. It supports pretrained tasks in image classification, object detection, and image segmentation, along wit

pip install hardware-ml-benchmark

Current version
0.2.1
Python requirement
>=3.8
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
80.3 KiB
Release history
2 releases with files
Median release cadence
0 days

hardware-ml-benchmark dependencies

PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.9.0
  2. torchvision >=0.10.0
  3. numpy >=1.19.0
  4. psutil >=5.8.0
  5. Pillow >=8.0.0
  6. tqdm >=4.60.0
  7. opencv-python
  8. timm >=0.6.0

The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

hardware-ml-benchmark publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .