tensor

🚀 Feature

Teach torch.Tensor.scatter_ to handle index.size(d) > src.size(d).

Motivation

Currently, torch.Tensor.scatter_ requires index.size(d) <= src.size(d) for all dimensions d, unless src is float-valued. This constraint seems artificial.

import math
import torch

device = 'cuda'  # fail

Support Series.median()

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

Following the merge of the adjoint code, our coverage fell dramatically. We should put in some effort to get it back to 100%! :-)