Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15458
many nets in the wild seem to have outputs that are never produced by the net.
Reviewed By: ZolotukhinM
Differential Revision: D13534185
fbshipit-source-id: 2b23b39c28404c53f68868f3bf6df53c5fea9eab
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12020
- make it less verbose to create random blobs in python unit test by adding some test helper methods
- move str_compare test helper method to test_util.py
Reviewed By: ZolotukhinM
Differential Revision: D10003637
fbshipit-source-id: cb79d2ad508341f750a1bb8f564e87d055c65652
Summary: Cleaning up converter.cc and allowing networks that have "pass through" inputs (that are also outputs but aren't actually consumed by the network)
Reviewed By: duc0
Differential Revision: D9759435
fbshipit-source-id: 1ddfcc60a1b865a06682e4022230dfecc4b89ec3
Summary: When conversion fails, dump more information to help fix up the netdef
Reviewed By: hyuen, yinghai
Differential Revision: D9558667
fbshipit-source-id: 8917cc61c9be6285697e4f8395a9dbc7135f618e
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/10239
Make Conv + BN fusion also work for 3D convolutions
Reviewed By: duc0
Differential Revision: D9176314
fbshipit-source-id: 6604aa569c5c3afdb4480a5810890bc617e449c4
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/10044
The test was subtly broken! This transform wasn't writing to the correct blob and the test did not catch that because it was looking at the old version.
thanks @[100022211048576:kerenzhou] for catching this
Reviewed By: Jokeren
Differential Revision: D9075520
fbshipit-source-id: c31ff0afcd78dd2dc7ffc240e2e89eeda87f1fb4
