tensor

🚀 Feature

Support to pickle a jitted function (or at least throw a TypeError when using protocol 0 and 1).

Motivation

Trying to pickle a jitted function either raises TypeError: cannot pickle 'torch._C.ScriptFunction' object when protocol>1 or far worse when using protocol=0 or protocol=1 python 3.9.5 dies with:

terminate called after throwing an instance of 'std::runt

Support Series.between

Hey Contributor!

Thanks for checking out HyperLearn!! Super appreciate it.

Since the package is new (only started like August 27th)..., Issues are the best place to start helping out, and or check out the Projects tab. There's a whole list of stuff I envisioned to complete.

Also, if you have a NEW idea: please post an issue and label it new enhancement.

In terms of priorities, I wanted

Tests for following standard libraries seem to be missing. Although some libraries might be difficult to test (such as random.egi or io.egi), it'd be nice to have some tests that make sure all the functions in these libraries can be (at least) executed without dynamic errors.

• lib/core/io.egi
• lib/core/random.egi
• lib/core/shell.egi
• lib/core/sort.egi
• Every

For simple neuron types like leaky integrate and fire neurons it
is possible to analytically describe the maximal membrane voltage
in response to a spike in terms of the membrane and synapse
time constants. It makes sense to scale the weights according to
that factor in order to normalise the initialisation.