Lightweight dynamic batching for pytorch/onnx model inferencing.
Project description
aiobatch
Lightweight dynamic batching for pytorch/onnx model inferencing.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aiobatch-0.0.1.dev0.tar.gz
(8.2 kB
view details)
Built Distribution
File details
Details for the file aiobatch-0.0.1.dev0.tar.gz
.
File metadata
- Download URL: aiobatch-0.0.1.dev0.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8212bc1d7673cb47e1deed4af07f30c7f2c4e518fd8f317508dd672e8390ced6 |
|
MD5 | e9d6ae978a91b94fb240ed5bea0d2b65 |
|
BLAKE2b-256 | 1db146f4332ecbc088f6255ae2b3c03a9a4736ff7a11347d02ffdfe7a6e68a70 |
File details
Details for the file aiobatch-0.0.1.dev0-py3-none-any.whl
.
File metadata
- Download URL: aiobatch-0.0.1.dev0-py3-none-any.whl
- Upload date:
- Size: 9.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dd26329b3ce6d685a2d536900ce0dca7873af84b2999334efc1e993d72cccd85 |
|
MD5 | d1c91fff37e9556964255601a24a8979 |
|
BLAKE2b-256 | 389d819d154643e1bf83850c16ca1450083e91ca768e25432a0fa4dc57239930 |