Hi Deron, I had same doubt and hence have created the PR https://github.com/apache/incubator-systemml/pull/467 few days ago. We can continue to discuss this on mailing list or the PR.
Even though we are not including the caffe/tensorflow project, we are depending on their input/output format (i.e. proto files). Unfortunately, both caffe and tensorflow don't have maven coordinates for their input/output formats as they tend to use C++/Python wrappers created from the proto files. Hence, we have to compile their proto files into java classes. Personally, I think we should include their licenses into our jar. TensorFlow => Apache 2.0 license Caffe => https://github.com/BVLC/caffe/blob/master/LICENSE Thanks, Niketan Pansare IBM Almaden Research Center E-mail: npansar At us.ibm.com http://researcher.watson.ibm.com/researcher/view.php?person=us-npansar From: Deron Eriksson <deroneriks...@gmail.com> To: dev@systemml.incubator.apache.org Date: 04/24/2017 01:28 PM Subject: caffe and org.tensorflow licenses? Hi, I see after a recent commit that the main jar file now gets caffe and org.tensorflow packages added to it. This would tend to suggest that our main jar needs modifications to its LICENSE file (and any other artifacts containing the main jar would also need their LICENSES updated). However, I see at https://github.com/google/protobuf/blob/master/LICENSE that: "Code generated by the Protocol Buffer compiler is owned by the owner of the input file used when generating it. This code is not standalone and requires a support library to be linked with it. This support library is itself covered by the above license." So could someone tell me if caffe and tensorflow licenses now need to be added to the project? Even if they are not required, some confusion during artifact validation can occur since the project looks like it contains caffe and tensorflow classes. Deron -- Deron Eriksson Spark Technology Center http://www.spark.tc/
