WARNING: /data/users/ezyang/pytorch-tmp/BUILD.bazel:580:1: in hdrs attribute of cc_library rule //:aten_headers: Artifact 
'bazel-out/k8-fastbuild/bin/aten/src/ATen/Config.h' is duplicated (through '//:aten/src/ATen/Config.h' and '//:aten_src_AT
en_config'). Since this rule was created by the macro 'cc_library', the error might have been caused by the macro implemen
tation                 

Support DataFrame.select_dtypes

The Scaladoc should be similar to numpy's API reference

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

In the LSNNLayer constructor we permit positional arguments, but not key-value arguments. To improve useability, we should allow both as in: https://pytorch.org/docs/stable/_modules/torch/nn/modules/rnn.html#RNN