Skip to content

Installation Guide

GPU support

Ideally, ADLStream should be run in a two GPU computer. However, it is not compulsory and ADLStream can be also run in CPU.

ADLStream uses Tensorflow. If you are interested in running ADLStream in GPU, the tensorflow>=2.1.0 GPU specifications are querired.

If you don't want to use GPU go to Installing ADLStream.

Hardware requirements

  • Computer with at least 2 NVIDIA® GPU card with CUDA® Compute Capability 3.5 or higher

Software requirements

The following NVIDIA® software must be installed on your system:

  • NVIDIA® GPU drivers —CUDA 10.0 requires 418.x or higher.
  • CUDA® Toolkit —TensorFlow supports CUDA 10.1 (TensorFlow >= 2.1.0)
  • CUPTI ships with the CUDA Toolkit.
  • cuDNN SDK (>= 7.6)
  • (Optional) TensorRT 6.0 to improve latency and throughput for inference on some models.

Installing ADLStream

You can install ADLStream and its dependencies from PyPI with:

pip install ADLStream

We strongly recommend that you install ADLStream in a dedicated virtualenv, to avoid conflicting with your system packages.

To use ADLStream:

import ADLStream

Check getting started for an example of use.