djl-bench is a command line tool that allows you to benchmark the
model on all different platforms for single-thread/multi-thread
inference performance.
Currently djl-bench support the models from the following framework:
PyTorch
TensorFlow
Apache MXNet
PaddlePaddle
ONNXRuntime
TensorRT
TensorFlow Lite
XGBoost
LightGBM
Python
Details for DJL Benchmark
License
unset
Last updated
21 July 2023 - latest/stable
This snap hasn't been updated in a while. It might be unmaintained and have stability or security issues.
Enable snaps on KDE Neon and install DJL Benchmark
Snaps are applications packaged with all their dependencies to run on all popular Linux distributions from a single build. They update automatically and roll back gracefully.
Snaps are discoverable and installable from the Snap Store, an app store with an audience of millions.
Enable snapd
Snap can be installed from the command line. Open the Konsole terminal and enter the following:
sudo apt update
sudo apt install snapd
Install DJL Benchmark
To install DJL Benchmark, simply use the following command: