nemo/__init__.py,sha256=0Ezq2W0uXgxAuay0K8d5GmJO5UJa3-nQ81rIF1H-9aU,835
nemo/evaluation.py,sha256=U628N3AzZgfmnxrsFuJ90tU0hUanv34S9Lz2y68q6ac,6528
nemo/graph.py,sha256=Kc4d1lbHnr2XjKDF3IRhH5u06FU3em-RMykNnIxelHw,11733
nemo/precision.py,sha256=jzdw1Y56cyyq7ptUKEcgAnLEJE5lcu2pr3-LVOzbS5M,3575
nemo/relaxation.py,sha256=O887ze_NGOyv09NSsTOwcm19UX3qE49nfH7gUoKPg88,23316
nemo/transform.py,sha256=fjd8jzBXyMcJ4cnnari7mlUuvxypSbvaYVJKCp3JI8M,18269
nemo/utils.py,sha256=SutT-CUpDV_zJJhcA16iBURnj3utX1bVN-N5bwTT9X8,11261
nemo/quant/__init__.py,sha256=PB9xrggqDMLAXbvwvKdRJUr6yCPwdH7FqEGkupjQUuI,718
nemo/quant/pact.py,sha256=LstXlQkekyYy6rI0FrUTWspvnyuuI8RQ3g6Qb8YjnlI,61273
nemo/transf/__init__.py,sha256=6xpHQOGizrmqVBg6BB8t8ipnpND-CPlRZovI1-Y9kVs,872
nemo/transf/bias.py,sha256=wu8OR3GABlr2K4fwJe-R87YU-FXur76kgqUXk0Jbru0,3759
nemo/transf/bn.py,sha256=wR_NhFJDW7YnnBJ-_vFdAR2kd2KNk5rHbwlfwWpeuTU,9844
nemo/transf/common.py,sha256=zIqaAy7lqhzpi3nrlEsw6tgAupxXLWOlfP1I8zGqkog,4774
nemo/transf/deploy.py,sha256=1Bxa-Jr64eigGj2E8p2pyZldqasOwpefyIUDFG4K2Bs,3650
nemo/transf/equalize.py,sha256=2uT-ZAaHsHqlomb0A2AaE86M1EkmKVjbr3lmCWaOahc,6861
nemo/transf/export.py,sha256=zDRuQn1czbvJVbiJWYr4mZurOrm3X9k552DOsqUWdTo,5812
nemo/transf/pruning.py,sha256=wRYiTH31IOVwu9dCYkaF0QIQGl1N2i4e0NnsbePvt40,1339
nemo/transf/statistics.py,sha256=dPyyE_itKi1x8U_dZlJz2tKQl9UDvsEIMWphtk5uxiM,2966
nemo/transf/utils.py,sha256=h8d7wkV53ewL_KzGFa9AaTe6Z533BYAJ2dCEy5wJSEY,6168
pytorch_nemo-0.0.3.dist-info/LICENSE,sha256=VkhWvVb83MJ2SzSt22Zqvr02ghQ3d6gGqsu9X2W4X_g,10706
pytorch_nemo-0.0.3.dist-info/METADATA,sha256=iwt3CrEzACmBnbNEfK1R6DkDRYzdlTVHz4eC_8O3oDE,3381
pytorch_nemo-0.0.3.dist-info/WHEEL,sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY,92
pytorch_nemo-0.0.3.dist-info/top_level.txt,sha256=5XBpEKZfHDjmX-YYR6s0mpixv5VerfK1kwmh78h8OMM,5
pytorch_nemo-0.0.3.dist-info/RECORD,,
