August 2022 Patch

New Features/Highlights

• Supported correlation 1d and correlation 2d operators with DPUCZDX8G and DPUCVDX8G

• Supported concatenate operator with multiple identical input tensors

• Fixed a compiler bug to support concatenate operator cascaded with multiple reshape operators

New Packages

• target_factory-2.5.0-py36h680af44_202.tar.bz2

• target_factory-2.5.0-py37h680af44_202.tar.bz2

• xir-2.5.0-py36h893bffd_202.tar.bz2

• xir-2.5.0-py37h893bffd_202.tar.bz2

• xcompiler-2.5.0-py36hea4fdf2_202.tar.bz2

• xcompiler-2.5.0-py37hea4fdf2_202.tar.bz2

• vart-2.5.0-py36h07a2524_202.tar.bz2

• vart-2.5.0-py37h07a2524_202.tar.bz2

Installation

Download the packages from the link above. Apply the conda patch to the conda environment (Machine Learning framework) that you wish to update in this format.

sudo conda install -n <CONDA_ENVIRONMENT> <URL or PATH to conda package>

For example, to update the vitis-ai-pytorch conda environment:

sudo conda install -n vitis-ai-pytorch https://www.xilinx.com/bin/public/openDownload?filename=target_factory-2.5.0-py36h680af44_202.tar.bz2

Make sure you install them in the order of unilog, target_factory, xir, xcompiler, xnnc, and use the proper version according to the Python version installed in your current conda env.