The easiest way to access AOCL-DA is to use pre-built binaries from the packages available at the following URL:
https://www.amd.com/en/developer/aocl/data-analytics.html
You can also install the AOCL-DA binary from the AOCL master installer tar file available at the following URL:
https://www.amd.com/en/developer/aocl.html
To access the AOCL-DA Python APIs, the following command should be used to install the Python wheel:
$ pip install <path to aocl-da wheel>/aoclda-*.whl
where * will vary depending on your platform.
Note
The pre-built libraries are prepared on a specific platform with dependencies related to the operating system, including other AOCL libraries, the compiler (GCC, Clang), Visual Studio, and glibc. Your platform must adhere to the same versions of these dependencies to use those libraries. In particular, AOCL-BLAS and AOCL-LAPACK target CPU architectures must be met (see the AOCL-BLAS and AOCL-LAPACK chapters for more information). Additionally, Python support on Windows is currently experimental with certain functionality (the nonlinear least squares and LBFGSB solvers) not available.