🐛 Bug

__init__ on SparseAdam iterates over params to check if sparse Tensors are included, but it does not take a possibility that the params is actually a generator for example in a case where we use model.parameters. Therefore it fails the initialization with ValueError: optimizer got an empty parameter list in such cases.

To Reproduce

Steps to reproduce the behavior:

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