Axis Batch
Documentation: https://axis-batch.readthedocs.io
Source Code: https://github.com/34j/axis-batch
Divide an array into batches along specific axes in NumPy / PyTorch / JAX
Installation
Install this via pip (or your favourite package manager):
pip install axis-batch
Usage
import numpy as np
from axis_batch import AxisBatch
a = np.arange(12).reshape(3, 4)
b = AxisBatch(a, axis=0, size=2)
for i, x in enumerate(b):
print(f"{i}: {x}")
b.send(x + 1)
print(b.value)
0: [[0 1 2 3]
[4 5 6 7]]
1: [[ 8 9 10 11]]
[[ 1 2 3 4]
[ 5 6 7 8]
[ 9 10 11 12]]
Contributors ✨
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
Credits
This package was created with Copier and the browniebroke/pypackage-template project template.
1 maintainer
Metadata
1 maintainer
Release files for axis-batch 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| axis_batch-0.1.1.tar.gz | 6.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| axis_batch-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.0 kB
Release files / axis_batch-0.1.1.tar.gz
| Download URL | axis_batch-0.1.1.tar.gz |
|---|---|
| Size | 6.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f3eac0b64bf98f2b1aa8fd3a7f9c6606255766f4f1a6642449e0e3b9cbbd5480
|
|
BLAKE2b-256 checksum How to use checksums |
8dcbedbc2d1c882e7712a0c2fc3e0a237d3694fc9d21d543b0bfeb7f00672362
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 9, 2025.
Transparency logRelease files / axis_batch-0.1.1-py3-none-any.whl
| Download URL | axis_batch-0.1.1-py3-none-any.whl |
|---|---|
| Size | 4.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b9c6794f9a53ab02cf989ea9ff94e6bf7b667cc11dc8a6e5e381d8c95be3aae6
|
|
BLAKE2b-256 checksum How to use checksums |
08e4bd9777eed5fe502c8915ce1e37cf442b3d32271aec0e88ec6fe521963e33
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 9, 2025.
Transparency log
