Skip to main content

Quantized dataflow implementation of ResNet50 on Alveo

Project description

Install the resnet50-pynq package using pip:

pip install resnet50-pynq

After the package is installed, to get your own copy of the available notebooks run:

pynq get-notebooks ResNet50

You can then try things out by doing:

cd pynq-notebooks
jupyter notebook

There are a number of additional options for the pynq get-notebooks command, you can list them by typing

pynq get-notebooks --help

You can also refer to the official PYNQ documentation for more information regarding the PYNQ Command Line Interface and in particular the get-notebooks command.

Supported Boards/Shells

Currently, we distribute the overlay only for the following Alveo boards and shells:

Shell Board
xilinx_u250_xdma_201830_2 Xilinx Alveo U250

Designs are built using Vitis 2019.2.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

resnet50_pynq-1.1.tar.gz (21.5 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page