argus/__init__.py,sha256=uorgrJ-HrNdbnj8Pf55iWdfTIdnh6rKdCFpbW4HG8ak,136
argus/loss.py,sha256=xBnEczAWQVeI9OZ8tI1K2hIGpkfJQndQVv6_NfEcrtE,324
argus/optimizer.py,sha256=Kv440o1g18n6zh4AQedneRQP2HQrG9drVBcOtN0HDm4,289
argus/utils.py,sha256=hxzHVJ5JtsmyvW6ljbsJvo2mKvstSR2oVvpqRWtvj9A,2107
argus/callbacks/__init__.py,sha256=4IDk54TMxANBaY1nDn_NTnUZQPlir0NoKD_D_62gTw0,631
argus/callbacks/callback.py,sha256=barupeRgOKJG8LKf21zZyxEqet7lml0zz2zWjEXy_zg,1501
argus/callbacks/checkpoints.py,sha256=J404PjtsPkYrqACGw7lHDpNWeC_vsHUS0V2dH8eOUzA,4265
argus/callbacks/early_stopping.py,sha256=FY0Qc-7R_GucQDBOP1Sr5UCXFGrIkN0_r-ackIe1xYw,1261
argus/callbacks/logging.py,sha256=FuBagmnTr1w-JxkuKZsQdcfAVXYB-NSegWCiY57Yfj4,3053
argus/callbacks/lr_schedulers.py,sha256=zw8nEjd9UyI7rCRGEe5ThI9NoQlmL6_2WH_sCeExTZE,5812
argus/engine/__init__.py,sha256=2i41kLGlzNvid8wePbP7lEARKiDcMHUmryLDu41oVSs,54
argus/engine/engine.py,sha256=vGbSbBc6_IwPJCZSb94wGJIrK9HxOYH-LPlrx5vc9G0,2949
argus/metrics/__init__.py,sha256=Qd8tdQhfNSZv6WsavFeQsKIqfU1NmvS09mVigFZST_A,107
argus/metrics/categorical_accuracy.py,sha256=UqjzLMH5qTx-Pr_sE-tQBcT2l6v7o1NbOMOFhIy1UpM,673
argus/metrics/loss.py,sha256=4ZJlBQTsSz0_jGnn9akOLe9nbrQVNZKsbNGPvL5RsuY,531
argus/metrics/metric.py,sha256=LcPTgJigM2tBIuqY3KuDh8MJff6JeAbxoSf47bCBTvI,1913
argus/model/__init__.py,sha256=TQStnTayXxOG4uwELFdo91QgXF39mlqeZ_Ir88yeEtE,48
argus/model/build.py,sha256=7k_f2onOim4KP68TeR4MrObnR-R-_6JqSa1uhiPLB50,10215
argus/model/model.py,sha256=YIHPSXJxP4hlHH4OaT55yqRf8mSpIucNcf0czk5G4vg,7326
pytorch_argus-0.0.9.dist-info/LICENSE,sha256=vLvzahvBUZ3l9OCRpykOUKDWuk-XqzovBLFjTxkJNZU,1080
pytorch_argus-0.0.9.dist-info/METADATA,sha256=UbEaGGHHWoPa7SHwvotJMCPY0Nr5JJKIpBMcUqQGdEA,4734
pytorch_argus-0.0.9.dist-info/WHEEL,sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec,92
pytorch_argus-0.0.9.dist-info/top_level.txt,sha256=Pea173vTU-Et8xmNCctS34REW4cH0Xmjyiztu0HuM0c,6
pytorch_argus-0.0.9.dist-info/zip-safe,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
pytorch_argus-0.0.9.dist-info/RECORD,,
