Great work, Pedro! This will help to have a consistent quality on all ARM devices.
-Marco Am Fr., 2. Nov. 2018, 20:02 hat Pedro Larroy <pedro.larroy.li...@gmail.com> geschrieben: > Hi MXNet community > > AI on MCUs can enable cheaper, lower power, better privacy and lower > latency applications. There’s an estimate of more than 20 billion connected > devices to be deployed in 2020 and a part of them will do some amount of AI > / ML tasks. Testing in embedded devices is very challenging and expensive > due to logistics, tooling and resource constraints. Here I would like to > announce a contribution I have done using the free and open-source emulator > QEMU and Docker to perform hardware virtualization and test MXNet on edge > devices, specifically to test the MXNet artifacts on ARM such as Pip wheels > and run unit tests. > > There's small instructions to run a virtualized environment on the bottom > of the README.md in the ci folder: > > https://github.com/apache/incubator-mxnet/tree/master/ci#testing-with-qemu > > I would encourage you to give it a try and report any comments or feedback. > The plan is to integrate it into nightly testing. We would need to narrow > down a bit the scope of testing since still the full suite is just too big > and resource intensive to finish in a reasonable time. > > My idea would be to split the unit tests into different suites such as core > / gluon / extended. Do you have any suggestions for this split? > > As a cool thing to try, you can execute the following command which will > give you a shell in an ARM VM (also sshable via ssh -p2222 qemu@localhost) > so you can use and debug MXNet in ARM: > > ci/build.py -p test.arm_qemu -b && docker run -p2222:2222 -ti > mxnetci/build.test.arm_qemu > > > How cool is that? If you are curious or want to hack on it, have a look > at the qemu folders under ci. > > Pedro. >
