Table Of Contents
Table Of Contents

Performance

The following tutorials will help you learn how to tune MXNet or use tools that will improve training and inference performance.

Essential

Improving Performanceperf.html

How to get the best performance from MXNet.

Profilerprofiler.html

How to profile MXNet models.

Tuning NumPy Operationsnumpy.html

Gotchas using NumPy in MXNet.

Compression

Compression: float16compression/float16.html

How to use float16 in your model to boost training speed.

Gradient Compressioncompression/gradient_compression.html

How to use gradient compression to reduce communication bandwidth and increase speed.

Accelerated Backend

TensorRTbackend/tensorRt.html

How to use NVIDIA’s TensorRT to boost inference performance.