🐛 Bug

Tensor averaging not implemented for complex types

To Reproduce

>>> import torch
>>> x = torch.ones(4, dtype=torch.complex128).cuda()
>>> torch.mean(x)
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-108-34af2dc3edea> in <module>
      1 impo

Support Series.median()

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

Numpy has a way to rotate matrices by increments of 90 degrees using their rot90 method that uses transposes and flips.

There is a transpose method for Tensors, but no way of flipping the Tensor that I see.

Is there a way of properly rotating a Tensor/Dense currently, other than through manual iteration over the

The Scaladoc should be similar to numpy's API reference