Factual package intelligence from PyPI

tensor-optix 1.17.6 package intelligence

Autonomous training loop for any sequential learning model — PPO, DQN, SAC, TD3, Rainbow DQN, Recurrent PPO for TensorFlow, PyTorch, and JAX/Flax; distributed async actor-learner (IMPALA + V-trace)

pip install tensor-optix

Current version
1.17.6
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
460.9 KiB
Release history
53 releases with files
Median release cadence
0 days

tensor-optix dependencies

PyPI declares 44 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. gymnasium >=1.0.0
  2. numpy >=1.24.0
  3. matplotlib >=3.7.0
  4. optuna >=3.0.0
  5. swig >=4.4.1
  6. pyyaml >=6.0
  7. torch >=2.11.0

The compact report shows 25 of 44 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

tensor-optix publishes 1 wheel and 1 source archive for version 1.17.6. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 53 releases with files. The first dated release is ; 53 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.