Package · PyPI
opt-einsum-fx
PyPI · v0.1.4 · MIT
Einsum optimization using opt_einsum and PyTorch FX
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Technologies
Install
pip install opt-einsum-fxAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.07
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 8.9
- 4 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v0.1.4
- 4 versions
- First published
- MAY 27, 2021
- Last release
- NOV 7, 2021
- 5y ago
- Licence
- MIT
Repository
Not in the Crest catalog
linux-cpp-lisp/opt_einsum_fx (GitHub, opens in a new tab)
The catalog tracks GitHub repositories with more than 500 stars; this one has no Crest page, so its figures are not shown here.
Dependencies latest version · v0.1.4
Runtime 3
- opt-einsumAny version
- packagingAny version
- torch
>=1.8.0
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Related news
No published news event mentions this package or its repository yet.