adv-jax-math provides batching and sharding utilities for vectorization and differentiation in JAX.
Installation
adv-jax-math is installable with pip:
pip install adv-jax-mathFor full details, see the API documentation.
Licensing
Copyright (C) 2024 Kaya Unalmis.
adv-jax-math is licensed under the GNU Lesser General Public License, version 3.
1 maintainer
Release files for adv-jax-math 1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| adv_jax_math-1.2.tar.gz | 49.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| adv_jax_math-1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 68.6 kB
Release files / adv_jax_math-1.2.tar.gz
| Download URL | adv_jax_math-1.2.tar.gz |
|---|---|
| Size | 49.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / adv_jax_math-1.2-py3-none-any.whl
| Download URL | adv_jax_math-1.2-py3-none-any.whl |
|---|---|
| Size | 19.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
Provenance
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