From 4d33b69fd80805d807ceac95246b9f62114d9496 Mon Sep 17 00:00:00 2001 From: Anthony Date: Wed, 12 Apr 2017 02:08:42 -0400 Subject: [PATCH] updated TF backend - redundant line in deconv3d causing errors (#67) --- .DS_Store | Bin 0 -> 6148 bytes keras_contrib/.DS_Store | Bin 0 -> 6148 bytes keras_contrib/backend/tensorflow_backend.py | 1 - 3 files changed, 1 deletion(-) create mode 100644 .DS_Store create mode 100644 keras_contrib/.DS_Store diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..91db3d3f24597e21c908a4b866f271c3af45272d GIT binary patch literal 6148 zcmeHKQHv8X5T5j^ZtoCQR5NyI+=M0{~(;%N_uP01%)OwmMk-La3i~Og61cp6B`8SKc{NQ7lVa45bXusY?)AQl)>ix4 z^&3HFdxuJRYx`w9G4r@i>RB~R$``h!vOM+nD5)na`mp$>w3_Xm#;o==zWKYTp>bawvv%U8E90zY9Zw>_@l8ybJ0=p-(6 zVe}h}T8*&EWMl@I0cK!B8SvXxu(P4h$B)GfFa!UN0oorVDq-ZYacH*=tmyZV`rCvg zXwzMSP}-3B@%IFH+F3 iM={3IQM`+41^to?#K>dg5IrdTBVcLZiW&H;4EzK@NNIim literal 0 HcmV?d00001 diff --git a/keras_contrib/.DS_Store b/keras_contrib/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..846d18509ad5d8ae37133c37adcfe73737480d57 GIT binary patch literal 6148 zcmeHKUu)Yi5I?0^N{LSpXpV)8r|D4*(u2VXcYP9YX!2D^hbF zLSe>8K|>PHigBE+M6=^xWPsML0Wn1I7Ea;X`sFe9{EWw$D#}jhhp4U9AFMaL=Ef!! z|KY}QILc>X8I{wbA5GqvmP*pt*@LJYE$vr%o?Y2de4x_V(0}wI*JY%1I=Pm5bf|Qa z&-(dPC&f`{$2(L>IU4%ggGqXZse?$T2dYr9%2avoHK`2!)_mUW_1d!A?JU}IzPsCL z%V*u4#lqK~_xMTg`ODYi#l_|O4Jqt&uHm&bG6T%OpJ#yf2Z>4;IIJw1tph9ieWd<6Aqm=ammri5 z1BaDG>_HJW715>&cf}Ak9sSb91r95VHXVeS8OL!m3wJ{iW_I*T6AmJ<$Tc&-4BTX3 z%{F~H|M!1?|G$~UEoOij_^%ic^}TSfkFVs;)|Ho|vsR*>ppsBrW$`Kn4RaJ@EFHxy bR3qq@WFQ6(D~sqs;U57*16RzzUuEDI<~C(< literal 0 HcmV?d00001 diff --git a/keras_contrib/backend/tensorflow_backend.py b/keras_contrib/backend/tensorflow_backend.py index 57bbf95..f8f63d0 100644 --- a/keras_contrib/backend/tensorflow_backend.py +++ b/keras_contrib/backend/tensorflow_backend.py @@ -109,7 +109,6 @@ def deconv3d(x, kernel, output_shape, strides=(1, 1, 1), x = _preprocess_conv3d_input(x, data_format) output_shape = _preprocess_deconv_output_shape(x, output_shape, data_format) - kernel = _preprocess_conv3d_kernel(kernel, data_format) kernel = tf.transpose(kernel, (0, 1, 2, 4, 3)) padding = _preprocess_padding(padding) strides = (1,) + strides + (1,)