pytorch2keras/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pytorch2keras/converter.py,sha256=hVwXDO6_o4OcNPbTzs3mV8j1vJAitsvDdZJtvo5WVb4,7421
pytorch2keras/layers.py,sha256=nEG8KNcZiGgHF0DRlGUSY6Q62uh67ijdk6W9lTWMg6c,42338
pytorch2keras-0.1.5.dist-info/METADATA,sha256=R8iQW02EEs5QAOhMgFhATRJYpXEIw_cGadtl8vY0xJY,4385
pytorch2keras-0.1.5.dist-info/RECORD,,
pytorch2keras-0.1.5.dist-info/WHEEL,sha256=NzFAKnL7g-U64xnS1s5e3mJnxKpOTeOtlXdFwS9yNXI,92
pytorch2keras-0.1.5.dist-info/top_level.txt,sha256=sbGEzacKVExsak4oEKW5zqXr8fPc5fBlVqdCHqwQgIQ,20
tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/alexnet.py,sha256=hNEttMj5P_7HJakigu8cYOSawJLb1t-lAChdsMiimhE,792
tests/avg_pool.py,sha256=Z1XBshzbJts4U57UZQJ8558JnCXEnAbxUdVeUbv8e9I,1387
tests/bn.py,sha256=Ub_7vXZSiyo5jBo8ia5k1uYoALQTG93KsL3JFMP-db4,1408
tests/concat_many.py,sha256=MQEAcg8htBW_U52Jj-xTdkL3R32T6jSnisEPqMiMWmY,1564
tests/const.py,sha256=gXVsBpjMOSeJfWrdWsojHYWjED3JzTDQKSd4PyQqagg,1147
tests/conv2d.py,sha256=aFSJjMAab3kO9uhEMxnTyJcgTNx1VnObO7glBwcU0CM,1277
tests/conv2d_channels_last.py,sha256=4B_iwplSVOUm_I2EmxkQH6XLJPE2q5bItzX5q-n6xSY,1364
tests/conv2d_dilation.py,sha256=BJIZHL-TlPGaH-kauBjhpKolmMitydmhDbr7mJx29Jc,1375
tests/conv3d.py,sha256=TnJJ_Gdue60efUXdg5gj1oDZCIjNbr91yDcU19B7l78,1376
tests/convtranspose2d.py,sha256=MV_rOoSBIRe9agBqugJwn_n4UnN1OtEijvsB0Uu1Z5Q,1352
tests/dense.py,sha256=UEkMMPgRJ9g8nb75Hfdc2dQOcmM2_1_98G171i--2dM,1141
tests/densenet.py,sha256=D6e6W12c34UuGLJxwcJ7Q7TOsAfQ0EQPaTKOoPdrmnk,838
tests/droupout.py,sha256=yh-h1Z_omYCggJ1fuB-wZjQQ-ylWNm6Zb6KHv6r-zi0,1271
tests/embedding.py,sha256=6qdsFT7xI96SDTMHWdfovEdFRf4HGdElhX66Dn75FmU,991
tests/lrelu.py,sha256=HFRN4RD3qkHy1pdow7QsGXkDRnBh4lEaAMvk5Ckd6kQ,1227
tests/max_pool.py,sha256=IOY1CQgukPTU7D-cQDRnfgntTX6judYOCC7_tcW0cio,1353
tests/max_pool3d.py,sha256=y40iazfOMlatnH13KJ_e_01jhJelc4yfKA2aj9zPbCE,1365
tests/mul.py,sha256=l6av4TnU1zA2rCw6Fu8Y3Tmr-k1GLdQ-KmAo8kULbm8,1462
tests/multiple_inputs.py,sha256=qL1WR_nXqNU4rQah7y0J5nMlaNoDwWTeg2NaJy9ydCc,1580
tests/relu.py,sha256=zgUpABrjckr56slEZI9XEETXXCiwJvyxe0FQAPKJxgw,1202
tests/resnet18.py,sha256=7FzFR3CKJVgAiNUXGcixjOD_xhyiH3OaZ3G7QQriqA4,838
tests/resnet18_channels_last.py,sha256=FLHe2S17zj9Inz5PYdcKCFlk5mu8PwwVSj-xWub_nMY,939
tests/resnet34.py,sha256=InzEvyjD8HydlxIc2jYRmpagaVjSOSZ8ovL3PjsmPPA,838
tests/resnet50.py,sha256=b6tR1Qv-M1GV5IdsIwwXHJAYIQjIaA9tNL28YxBgeTM,838
tests/senet.py,sha256=bEm1W0msPTAGsQlKZ9rRN93w9L26rWkiWcNB3dnASO0,8420
tests/sigmoid.py,sha256=ke_GDui_HrCyy2GH72iRUrw2_4lYWT5lf797slWblic,1227
tests/softmax.py,sha256=wQMvczF9xnySAxu_HMgDqixQ3xHjA6gu_7seCxXHGrk,1249
tests/squeezenet.py,sha256=o0h2l1HJjDWSDWuKqL6Pms8vCjQ4nMJ7uHs1319aSn4,4543
tests/sub.py,sha256=j1PjbTIB13L2JfeU9bnkwxDfE8zDWvPoJ8lNIkQZm_s,1450
tests/sum.py,sha256=o9oHCaoUH4ULWaY86QD4Xm1Ivb5NdylYe94RO8uvhLI,984
tests/tanh.py,sha256=apXmjGZuT7p8CpIABr7RnTdYOKE93lPYS7A-mqDUF6c,1206
tests/transpose.py,sha256=Lp2qz38mLbTrZTv7Z_7EDBISn22RHry7f-_rI-w1y7E,1357
tests/upsample_nearest.py,sha256=wzpkjuKMsW4cLqZYGpl5QcZcmqjgotWp5jytcRJWGk0,1474
tests/vgg11.py,sha256=GFmYDH5tOjs-Sj2ufy1-N9i4L4S3Exg7IuJ6b95pL6E,838
tests/view.py,sha256=E1KRNoalDl8zsUsI5Y_uYwh3vTWVJsZ469qq2cM59dI,1400
tests/layers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/layers/avg_pool.py,sha256=Z1XBshzbJts4U57UZQJ8558JnCXEnAbxUdVeUbv8e9I,1387
tests/layers/bn.py,sha256=Ub_7vXZSiyo5jBo8ia5k1uYoALQTG93KsL3JFMP-db4,1408
tests/layers/channel_shuffle.py,sha256=Bn747SzyFQlmsQM8aFOegTYDG_sqtrBtMdcL2kQT7WU,1845
tests/layers/concat_many.py,sha256=MQEAcg8htBW_U52Jj-xTdkL3R32T6jSnisEPqMiMWmY,1564
tests/layers/const.py,sha256=gXVsBpjMOSeJfWrdWsojHYWjED3JzTDQKSd4PyQqagg,1147
tests/layers/conv2d.py,sha256=aFSJjMAab3kO9uhEMxnTyJcgTNx1VnObO7glBwcU0CM,1277
tests/layers/conv2d_channels_last.py,sha256=4B_iwplSVOUm_I2EmxkQH6XLJPE2q5bItzX5q-n6xSY,1364
tests/layers/conv2d_dilation.py,sha256=BJIZHL-TlPGaH-kauBjhpKolmMitydmhDbr7mJx29Jc,1375
tests/layers/conv3d.py,sha256=TnJJ_Gdue60efUXdg5gj1oDZCIjNbr91yDcU19B7l78,1376
tests/layers/convtranspose2d.py,sha256=OykNTgQTm2YpLXPmg4YRTo17zvNDS9Jo7qqeIVu8tLQ,2459
tests/layers/dense.py,sha256=UEkMMPgRJ9g8nb75Hfdc2dQOcmM2_1_98G171i--2dM,1141
tests/layers/densenet.py,sha256=D6e6W12c34UuGLJxwcJ7Q7TOsAfQ0EQPaTKOoPdrmnk,838
tests/layers/depthwise_conv2d.py,sha256=PfC7xSJl6Rj8Q_WvBpfL1GNiAxzFZSUaL1NaN7f2xHg,1636
tests/layers/droupout.py,sha256=yh-h1Z_omYCggJ1fuB-wZjQQ-ylWNm6Zb6KHv6r-zi0,1271
tests/layers/embedding.py,sha256=6qdsFT7xI96SDTMHWdfovEdFRf4HGdElhX66Dn75FmU,991
tests/layers/group_conv2d.py,sha256=T0YxMsb6pbtjhKqM6GQ2QnsYZ9w1HNWYTXjH6bLTaQI,1528
tests/layers/instance_norm.py,sha256=YfE_QF3xbCz6COKi9aIQ3F0PC95TVIJ1P7xNbesFRm0,1668
tests/layers/lrelu.py,sha256=HFRN4RD3qkHy1pdow7QsGXkDRnBh4lEaAMvk5Ckd6kQ,1227
tests/layers/max_pool.py,sha256=IOY1CQgukPTU7D-cQDRnfgntTX6judYOCC7_tcW0cio,1353
tests/layers/max_pool3d.py,sha256=y40iazfOMlatnH13KJ_e_01jhJelc4yfKA2aj9zPbCE,1365
tests/layers/module_list.py,sha256=kmAc78N5ug1Rw7R5WAQ-q2WON9EaHRvcSVU-Uo2x71c,1546
tests/layers/mul.py,sha256=l6av4TnU1zA2rCw6Fu8Y3Tmr-k1GLdQ-KmAo8kULbm8,1462
tests/layers/multiple_inputs.py,sha256=qL1WR_nXqNU4rQah7y0J5nMlaNoDwWTeg2NaJy9ydCc,1580
tests/layers/relu.py,sha256=zgUpABrjckr56slEZI9XEETXXCiwJvyxe0FQAPKJxgw,1202
tests/layers/sigmoid.py,sha256=ke_GDui_HrCyy2GH72iRUrw2_4lYWT5lf797slWblic,1227
tests/layers/slice.py,sha256=xzBi8bfqHc_BoEG53VjcXyUr1HLQrbSJDq3xPWoqopw,1288
tests/layers/softmax.py,sha256=wQMvczF9xnySAxu_HMgDqixQ3xHjA6gu_7seCxXHGrk,1249
tests/layers/sub.py,sha256=j1PjbTIB13L2JfeU9bnkwxDfE8zDWvPoJ8lNIkQZm_s,1450
tests/layers/sum.py,sha256=o9oHCaoUH4ULWaY86QD4Xm1Ivb5NdylYe94RO8uvhLI,984
tests/layers/tanh.py,sha256=apXmjGZuT7p8CpIABr7RnTdYOKE93lPYS7A-mqDUF6c,1206
tests/layers/transpose.py,sha256=Lp2qz38mLbTrZTv7Z_7EDBISn22RHry7f-_rI-w1y7E,1357
tests/layers/upsample_nearest.py,sha256=wzpkjuKMsW4cLqZYGpl5QcZcmqjgotWp5jytcRJWGk0,1474
tests/layers/view.py,sha256=E1KRNoalDl8zsUsI5Y_uYwh3vTWVJsZ469qq2cM59dI,1400
tests/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/models/alexnet.py,sha256=2RWhPhLN5uxep6CXgwWOeBTf0us1aYepmCInVMbkZpg,977
tests/models/darknet.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/models/enet.py,sha256=s3WglMZmyqFQ87fYcK0BaCttj8lJi9mQCmw92CmGFiE,5582
tests/models/menet.py,sha256=N3Oqb3NiiOhrIim_wvmb2rP-TiU_ztk1uJ4h5CORtLQ,10653
tests/models/mobilinet.py,sha256=PYaTscc3rWM3qlQWSc469FQJenf_K4rqDxG9t80LRIU,4552
tests/models/preresnet18.py,sha256=zHbUA-8EvbvE4zsEle4SSjS7hpo9Lj1mMdTLxBWc0jg,22570
tests/models/resnet18.py,sha256=Y8szOmZVQrjXcnieAa4hmEvmU9_YfblKoOV97MFN7sQ,978
tests/models/resnet18_channels_last.py,sha256=kB0Bz9VBi4aLIZhi0EMTH5Onbny5PRSSpZygJ8KjE_k,1024
tests/models/resnet34.py,sha256=M7bNcA99fPZJoyCEroG83-tutWo4b_T_0qvlaDa6E88,978
tests/models/resnet50.py,sha256=ASG5fK-PS5p17Qr5y1PV3HSwWKmd3cHOGzCdSGcroG4,978
tests/models/senet.py,sha256=bEm1W0msPTAGsQlKZ9rRN93w9L26rWkiWcNB3dnASO0,8420
tests/models/shufflenet.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/models/squeezenet.py,sha256=o0h2l1HJjDWSDWuKqL6Pms8vCjQ4nMJ7uHs1319aSn4,4543
tests/models/squeezenext.py,sha256=ksTAxLKJ2V5fzLyMlfSzcM1Wh8I1MaOe5SDDlKJbdlw,12671
tests/models/vgg11.py,sha256=lwZ4Md_jnHSmvazPiErIaQfoUAXghpJoj-SNcJ4LTzQ,978
