torchness/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchness/base_elements.py,sha256=la-UPa4vCysvbjlCxQFkI1uGdx8beHu8ISK2dAGTyCA,4726
torchness/devices.py,sha256=Zb9KBYoQnV9FlYdvEwbWIP6aq78keoUtGJmNOn_DG9w,7720
torchness/encoders.py,sha256=q7QX_KdSm6prWUM3S45bzeaiZaKbX0sXh1lH4_LFQng,27977
torchness/grad_clipping.py,sha256=d7iO8KhRsAWCaqTgh5-qSrHV36uhoQ9rqOVDQqs8cpo,3574
torchness/layers.py,sha256=Hp1bLsnpGJPhume-74CngRmSBxFXwP2BomDl2nQ2SyI,7236
torchness/motorch.py,sha256=el8aYvRv1PpeI6z4zENF1QUPA4FOYb4pXALz6jZQLXw,41563
torchness/scaled_LR.py,sha256=MAdLaAGZAuzQ8qQ8WcIOZ0RoIFBkW6R9zKk7P2FQhwM,2194
torchness/tbwr.py,sha256=Fvds-JBk1gPszHfxsuFVIb56eGiQGYGIgX2cAZTR-4I,2090
torchness/types.py,sha256=x4hwvPqwC0dJQiHux8GTJVhyth5_3qClEn26LwO6uSg,502
torchness/comoneural/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchness/comoneural/avg_probs.py,sha256=-Gkq6O7Ev5roi1AFbUle6prKKLE1mymbEPwYfWJaTI0,501
torchness/comoneural/batcher.py,sha256=Q6UOD0r81xNQ1w6Y5FUu6d1fEJMZLjl59NtoNzBZIWc,6846
torchness/comoneural/zeroes_processor.py,sha256=djwotyjURkZgTFoNCbXt3LzpuAImEBMi0PY7OVfV_W4,2761
torchness/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchness/models/simple_feats_classifier.py,sha256=sLRgYTo0mINVfLiBcMKoCfmVfmoTGv8kyGrZ52NVjXs,3173
torchness/models/simple_text_classifier.py,sha256=YkBQZmnigesp3CvbCmO6QSf6C-_GhsSNJLwGEDZ7Z_A,4372
torchness/models/text_embbeder.py,sha256=ZPiBhBqKtenwUaPy3YZx3fMPDWf_Ed2DZ51RH0jnjcc,2825
torchness-1.4.5.dist-info/METADATA,sha256=F71NiCMQ5JXTGL47Vm_CDSKkHoooyNzIxE_ZGvaFy0E,422
torchness-1.4.5.dist-info/WHEEL,sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ,92
torchness-1.4.5.dist-info/top_level.txt,sha256=6UCnv88M27HtNPw-26RMxgJ3Pet6dPjE7y5cuwp-sMM,10
torchness-1.4.5.dist-info/RECORD,,
