Deploy DL/ ML inference pipelines with minimal extra code.
Project description
fastDeploy
Deploy DL/ ML inference pipelines with minimal extra code.
Installation:
pip install --upgrade fastdeploy
Usage:
# Invoke fastdeploy
fastdeploy --help
# or
python -m fastdeploy --help
# Start prediction "loop" for recipe "echo_json"
fastdeploy --recipe ./echo_json --mode loop
# Start rest apis for recipe "echo_json"
fastdeploy --recipe ./echo_json --mode rest
# Auto genereate dockerfile and build docker image. --base is docker base
fastdeploy --recipe ./recipes/echo_json/ \
--mode build_rest --base python:3.6-slim
# fastdeploy_echo_json built!
# Run docker image
docker run -it -p8080:8080 fastdeploy_echo_json
fastDeploy monitor
- available on localhost:8080 (or --port)
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
fastdeploy-2.2.15.tar.gz
(195.6 kB
view hashes)
Built Distribution
fastdeploy-2.2.15-py3-none-any.whl
(160.3 kB
view hashes)
Close
Hashes for fastdeploy-2.2.15-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cd5d90f7e63cbfe9beee056157e5815553619b11631482caffcb67ee1086e6c3 |
|
MD5 | 06a0ad87a1a534066b1cbb35c2339a33 |
|
BLAKE2b-256 | 4f7e351312d11a950cd5b71ec7643af29465d77f5e1723800d5c56ca356ceebf |