0.23.021170.0 MB
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A machine learning benchmarking toolkit
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
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
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