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The shape of pts[:, 0] is (2,), so it is not a scalar try this, it should help in your case.

First there is nothing wrong to use a loss function like you defined.

But I hope you use this loss function because you understand what you are going to optimize. Your loss function will jointly optimize your model on the euclidean and angular metric spaces.

The reasons why your model does not learn might due to

1. your alpha and beta values might need adjustment, it will be better for you try different combinations, e.g. any paired values from the list [1e-3,1e-2,1e-1,1].
2. your problem maybe inappropriate to this loss, especially when your target is not an one-hot encoded vector.

yaml.sh, which you linked in the question, is a surprisingly good parser. It's a lot easier to convert its output into the format you need than to do anything else.

Argument-dependent lookup's a funny old thing, isn't it?

There already exists a operator< relating to std::string in the namespace std, and this is found when looking for a < that fits your arguments. Perhaps counter-intuitively (but not without good reason), no further lookup is attempted after that! Other namespaces are not searched. That's even though only your overload actually matches both arguments. Your global operator< is effectively hidden in this context, as shown in the following horrendous example: