The Deep Learning Reference Stack is made up of many pieces of software created by a range of individuals, teams, and companies. Deep Learning Reference Stack is a collective work, and each piece of software within the work has its own license (referred to below as the Compilation). Your use of each piece of software is governed by the terms of its accompanying license. You should confirm beforehand that when you use any part of the Deep Learning Reference Stack that its use is in compliance with the licenses involved. Redistribution of parts or the whole of the Deep Learning Reference Stack may require you to comply with additional license requirements.
The list of licenses used in the Deep Learning Reference Stack are contained in the following link: https://download.clearlinux.org/current/licenses
Note that this list is automatically generated. If you spot a mistake or omission, please mention this on firstname.lastname@example.org.
To read the full license text for these licenses, please visit http://spdx.org/licenses/ and https://software.intel.com/en-us/license/intel-simplified-software-license. A few of the licenses in this list are not declared on the http://spdx.org/licenses/ website, namely the following licenses are not standard spdx identifiers:
These licenses are used for projects that have explicitly granted redistribution of source code or binaries, but don't have a typical OSI approved license identifier.
Except for software which is licensed by Intel in the Compilation, these pieces of software are not reviewed, approved or endorsed by Intel. This Compilation is provided solely as a convenience to our customers and users. Under no circumstances will Intel be liable in any way for any third party software, including, but not limited to, any errors or omissions, or damages of any kind. ANY USE OF THE COMPILATION IS DONE AT YOUR OWN DISCRETION AND RISK. By your use you agree that you must evaluate, and bear all risks associated with, the use of any third party content, including any reliance on the accuracy, completeness, or usefulness of such content.
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