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I finally found out the cause. The error messages with the form of :

While copying the parameter named "xxx.weight", whose dimensions in the model are torch.Size([yyy]) and whose dimensions in the checkpoint are torch.Size([yyy]).

are actually generic messages, only returned when an exception has occured while copying the parameters in question.

Pytorch developers could easily add the actual exception args into this spurious yet unhelpful message, so it could actually help better debug the issue at hand. Anyway, looking at the exception which was by the way :

I found out this works by simply computing the variable when passing it to the superclass:

Non-windowed outer joins are not supported in Flink 1.5-SNAPSHOT. As you can see in the link that you have posted, there is no "Streaming" tag next to "Outer Joins". Time-windowed joins (which work on time attributes) were supported in 1.5.

Flink 1.6 will provide LEFT, RIGHT, and FULL outer joins (see also FLINK-5878).

Btw. make sure that EnrichedTaskUpdateJoin is really a POJO because POJOs need a default constructor and I think also var instead of val.

You probably need to install a few packages which the fingerprint package depends on. I just compiled fingerprint-gui-1.08 in Debian 9 and to complete the build process I needed to install the following packages:

Edit: Anders' answer provides a more elegant solution by switching the packaging class. If you can, check out his approach before trying this workaround.

I found a workaround that worked for me but is no ideal solution. I am posting it anyway, in case it helps someone:

I figured out, that the nativesdk-cmake package somehow collided with the Qt one. Therefor I created a nativesdk-packagegroup-sdk-host.bbappend file in my custom layer, with the following content:

Your project donesn't contain any QObject-derived, custom classes, so there's no need for running moc.

A minimal example (mywidget.h):

First of all, you should never specify absolute paths in you includes. If someone else wants to use your code, they would need to modify all the files to point to the correct headers on their system. Apart from that you're using internal headers that you're not supposed to include yourself. At the very top of the Qt documentation for QVector2D you can find what header you're supposed to include to use the QVector2D class.

So test.cpp should look like this:

The custom compilation on Qt version 5.7 and below doesn't help much.

static compilation upon my test did not produce much lower binary, even with all possible optimization and strip.

Qt5.8 however said the following:

Qt 5.8 comes with a rewritten configuration system, that allows for easy customisation of your Qt build. The main focus of this feature is for the Device Creation, but it can also be used to tailor a Qt build for mobile or desktop. The system allows removing individual pieces of functionality and APIs from Qt, thus creating a more lightweight set of libraries for deployment.

New Feature Qt5.8

And thus porting to Qt5.8 should be quite easy and may reduce your total package size.

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