Skip to main content

Lightweight dynamic batching for pytorch/onnx model inferencing.

Project description

aiobatch

Lightweight dynamic batching for pytorch/onnx model inferencing.

Project details


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.dev4.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

aiobatch-0.0.1.dev4-py3-none-any.whl (9.3 kB view details)

Uploaded Python 3

File details

Details for the file aiobatch-0.0.1.dev4.tar.gz.

File metadata

  • Download URL: aiobatch-0.0.1.dev4.tar.gz
  • Upload date:
  • Size: 8.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for aiobatch-0.0.1.dev4.tar.gz
Algorithm Hash digest
SHA256 31f9ac9fe90c71a2e9b61858c1a855954df709b8aeda594425d8b16e2f53849a
MD5 7059fd98bbec299bbf3396c5ac21f9eb
BLAKE2b-256 17bd3a7d65fb0b29a14686735bce645cafe0338e10948bc987fd39dc984c4862

See more details on using hashes here.

File details

Details for the file aiobatch-0.0.1.dev4-py3-none-any.whl.

File metadata

File hashes

Hashes for aiobatch-0.0.1.dev4-py3-none-any.whl
Algorithm Hash digest
SHA256 e23bfcc48947a616f52f827b78e4e1314d377f6cb5a609290746d04cf2ebb123
MD5 1796ed20a674a348cfa718375f43d8c6
BLAKE2b-256 6bb26c97bcd6102c35122ff5454e8b15bfc3cc51bcd5701fb35ea154158f8c3c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page