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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file resnet50_pynq-1.1.tar.gz
.
File metadata
- Download URL: resnet50_pynq-1.1.tar.gz
- Upload date:
- Size: 21.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.23.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.7.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c237c331ce89920225996787fd55fe1db3edf70b556bc46f9160cba7eaa9d097 |
|
MD5 | 34a55dd33fb36d6d396f29c4a39341e6 |
|
BLAKE2b-256 | ce0d0287c58beaa64822a47ecd075e8339caa2c25ad7cb4de8c6cdec6727bf0e |