blitz/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
blitz/losses/__init__.py,sha256=GzIPawKkPFcg2kh2ut29Itbopqh9MF4aEhMef7Fd1MM,28
blitz/losses/kl_divergence.py,sha256=CrQABhOVqk2mUgR7JooSlT6GFFDpC78KNIpTqGunz2U,557
blitz/losses/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
blitz/losses/tests/kl_divergence_test.py,sha256=KG9HyGOjpleeVzqIC9Nr4pH6E5XqOVZnhWlMxd1SI28,1562
blitz/models/__init__.py,sha256=ZpGM3EVSYqkcISAHK7jvd3XoGi5fY0trHpaWNuhjnxA,20
blitz/models/b_vgg.py,sha256=PmIWqn_Sq8fIt2iOkpP439SpYeCPvRQqLl2rZbTx5Ng,3076
blitz/modules/__init__.py,sha256=foyuWSZ1L-0pSLcz8aMppY1fBro8jK5G_1v6NmWo8m8,210
blitz/modules/base_bayesian_module.py,sha256=q7VTfzGRz1cfHaj6EIqF3vEJmnGL-1wgx54QLQ5oAiI,4296
blitz/modules/conv_bayesian_layer.py,sha256=kk4SJV8moioZu4J2OQrCo0GCf1ZoBTOrX4BUCwx3ON4,16909
blitz/modules/embedding_bayesian_layer.py,sha256=rfGM83Y7JT5e5IQFp_-fNzOEXPMKxRB0PUkGFBKJPzE,4691
blitz/modules/gru_bayesian_layer.py,sha256=1r7FxtkSaX4kJCvNFNt-7qEof6doRjQI7UMaqOAN9uY,8986
blitz/modules/linear_bayesian_layer.py,sha256=IYgTXU5YzVULa-MaTZ7I3uJsWuK9hQq5WAb6wEYBYuA,4327
blitz/modules/lstm_bayesian_layer.py,sha256=rJJLIo08kmPmiz01yuyAPXjXMMyU_owjXOtF0IApwBc,10004
blitz/modules/weight_sampler.py,sha256=MqYnxu6OKwKBJqgZu4f3Djn5_JgLQdw3QU3VJygTbPM,3131
blitz/modules/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
blitz/modules/tests/base_bayesian_module_test.py,sha256=Hw2hQPQYCS4HK4t099D8OfLfzdxbtHqdd179q99IKJI,1960
blitz/modules/tests/conv_bayesian_layer_test.py,sha256=AVrKrHtFo80rZUMjE0oRgABHQgBktU5DkehqA9mQmHU,10863
blitz/modules/tests/embadding_bayesian_test.py,sha256=wdEA86QulNJrdtEWTyTr68_LVITzBzELMDOVh3PPhVs,3389
blitz/modules/tests/gru_bayesian_layer_test.py,sha256=sQJPPkYERe4MONIowmZWAB6xbpda5dXhbPFyeRPc1NM,2632
blitz/modules/tests/linear_bayesian_layer_test.py,sha256=mtDtaqpCQWrwTMC761x17HhMLIsplr28vqiwxiyHgQA,3465
blitz/modules/tests/lstm_bayesian_layer_test.py,sha256=TGOrVCaVnK6zli3Z4JaVD6vFNn4Ut00tEfqJ-VsUFag,2875
blitz/modules/tests/weight_sampler_test.py,sha256=efAJ99RE2ez1PzgfQPrFNq3-t8YJpz9Sl7RhHCY70LU,2636
blitz/utils/__init__.py,sha256=QtjypoRFGor8Fk7Ek-qMuEPS7LoMxbwLuSWOcmoz7H8,101
blitz/utils/layer_wrappers.py,sha256=p4mYo_8bGM-ggoqphdcA0rguVczW_D6MuT9tbNReR6s,3771
blitz/utils/minibatch_weighting.py,sha256=6YKHmJJROWpzXN_9yHCKIpkekxr8Es_SS3LzytQTZYQ,629
blitz/utils/variational_estimator.py,sha256=v1pnxHHjbr1ij44Kcy1D3pULkoyeZd1uFGjSwzfQZ3k,8997
blitz/utils/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
blitz/utils/tests/layer_wrappers_test.py,sha256=rpAvRj283UyY1D7aSS9U-BwnQXgv43WlBEgWo6-BqRk,1574
blitz/utils/tests/variational_estimator_test.py,sha256=Wu-7u4w6xpFkkLyBZR3AkBuy9kejPivqKk38xh2ryRg,8813
blitz_bayesian_pytorch-0.2.8.dist-info/LICENSE,sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY,35149
blitz_bayesian_pytorch-0.2.8.dist-info/METADATA,sha256=STUe9QKTdXtL35J8OJJXxC_5pwLZ_b7QdBllbKBJ5wM,19154
blitz_bayesian_pytorch-0.2.8.dist-info/WHEEL,sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA,92
blitz_bayesian_pytorch-0.2.8.dist-info/top_level.txt,sha256=nN4DhEhz48kJTowH867eqfzXOxTnCaxjngLiTb1Hu2c,6
blitz_bayesian_pytorch-0.2.8.dist-info/RECORD,,
