Vasiliy Kuznetsov 2a2bc1fc8a ns for fx: add fqn to results, when present (#61377) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/61377 Both the quantization tracer and the NS tracer record `_node_name_to_scope`, which contains the mapping from node name to FQN. This PR adds the FQN information to the NS results, so that it is more convenient for users to attribute a NS result to the corresponding module in their model. Test Plan: ``` python test/test_quantization.py TestFXNumericSuiteCoreAPIs.test_extract_weights_fqn python test/test_quantization.py TestFXNumericSuiteCoreAPIs.test_match_activations_fqn python test/test_quantization.py TestFXNumericSuiteCoreAPIs.test_shadow_activations_fqn ``` Imported from OSS Reviewed By: jerryzh168 Differential Revision: D29600349 fbshipit-source-id: df489e03daff97dd380f59c83ffdc2b0012a0a53		2021-07-17 20:53:41 -07:00
..
__init__.py
graph_matcher.py	ns for fx: return results in execution order (#61360)	2021-07-17 20:53:39 -07:00
graph_passes.py	ns for fx: add fqn to results, when present (#61377)	2021-07-17 20:53:41 -07:00
mappings.py	ns for fx: preserve observers and fake_quants through passes (#61323)	2021-07-17 20:53:33 -07:00
ns_types.py	ns for fx: support binary ops when adding unshadowed loggers for inputs (#57025)	2021-04-27 16:28:58 -07:00
pattern_utils.py	ns for fx: preserve observers and fake_quants through passes (#61323)	2021-07-17 20:53:33 -07:00
utils.py	ns for fx: add fqn to results, when present (#61377)	2021-07-17 20:53:41 -07:00
weight_utils.py	ns for fx: add fqn to results, when present (#61377)	2021-07-17 20:53:41 -07:00