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.