GitLab

fixing empty return from python implementation
  adding proper test to verify functional correctness for python implementation

fixing empty return from python implementation
  adding proper test to verify functional correctness for python implementation

* Existing tests passing, still need to add per-tensor tests

* Test is passing, still need to measure performance

* ILP for l2norm functor

* Support add_param_group

* syntax

* Test added and passing

* remove unused tens tensor in example/imagenet/main_amp.py

* remove unused tens tensor in deprecated examples and tests/L1

* Refactor to allow more flexible treatment of multiple optimizers/models/losses

* Adding _process_optimizers.py

* Created L0 tests (now passing).

* fix: minor print typo (#234)

* make L1 results easier to read

* L0 multiple model/optimizer/loss test fleshed out

* Adding test that master params remain synced across distributed processes

* Docstring updates

* Docstring updates

* Adding Torch + bare-metal nvcc version check and container build tests

* Putting a canary in the coalmine

* canary proved elusive

* Trying direct setup.py install

* this should work

* Removing canary

* hopefully this works

Allow multi-tensor unscale to handle FP16 output, so it can also be used for copy-scatter. Rename some options.