The document details the installation and setup process for AMD's ROCm platform on Linux, including necessary commands and packages like rocm-dkms and rocm-libs. It provides instructions for installing TensorFlow and running example scripts related to image classification and speech command training. The material is intended for users setting up ROCm for machine learning applications.

1. AMDGPU ROCm Deep dive
6th May, 2020 SAKURA Internet, Inc. Research Center SR / Naoto MATSUMOTO
(C) Copyright 1996-2020 SAKURA Internet Inc

2. AMDGPU ROCm Deep dive (2018)
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# lscpi
17:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Device 67ef (rev cf)
# apt update; apt dist-upgrade
# apt install -y libnuma-dev wget python3-pip
# sync; sync; sync; reboot
# wget -qO - http://repo.radeon.com/rocm/apt/debian/rocm.gpg.key | apt-key add -
# vi /etc/apt/sources.list.d/rocm.list
deb [arch=amd64] http://repo.radeon.com/rocm/apt/debian/ xenial main
# apt update; apt install -y rocm-dkms
# usermod -a -G video $LOGNAME
# sync; sync; sync; reboot
# apt install -y rocm-libs miopen-hip cxlactivitylogger
# sync; sync; sync; reboot
# wget http://repo.radeon.com/rocm/misc/tensorflow/tensorflow-1.8.0-cp35-cp35m-manylinux1_x86_64.whl
# pip3 install ./tensorflow-1.8.0-cp35-cp35m-manylinux1_x86_64.whl
# git clone https://github.com/tensorflow/models.git
# cd tensorflow/
# python3 classify_image.py
# git clone https://github.com/tensorflow/tensorflow.git
# cd tensorflow/
# python3 tensorflow/examples/speech_commands/train.py
SOURCE: SAKURA Internet Research Center (2020/05)