I0722 16:56:51.209270 9132 net.cpp:84] Creating Layer conv0I0722 16:56:51.209270 9132 net.cpp:406] conv0 <- dataI0722 16:56:51.209270 9132 net.cpp:380] conv0 -> conv0I0722 16:56:51.538775 9132 net.cpp:122] Setting up conv0I0722 16:56:51.538775 9132 net.cpp:129] Top shape: 100 16 32 32 (1638400)I0722 16:56:51.538775 9132 net.cpp:137] Memory required for data: 7372800I0722 16:56:51.538775 9132 l*** Check failure stack trace: ***
layer { name: "data" type: "HDF5Data" top: "data" top: "label" include { phase: TRAIN } hdf5_data_param { source: "Indept32/train_hdf5_list.txt" batch_size: 100 shuffle: true }}layer { name: "conv0" type: "Convolution" bottom: "data" top: "conv0" param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0 } convolution_param { num_output: 16 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "msra" } bias_filler { type: "constant" } }}layer { name: "relu0" type: "ReLU" bottom: "conv0" top: "conv0"}layer { name: "conv1" type: "Convolution" bottom: "conv0" top: "conv1" param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0 } convolution_param { num_output: 16 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "msra" } bias_filler { type: "constant" } }}layer { name: "relu1" type: "ReLU" bottom: "conv1" top: "conv1"}layer { name: "conv2" type: "Convolution" bottom: "conv1" top: "conv2" param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0 } convolution_param { num_output: 16 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "msra" } bias_filler { type: "constant" } }}layer { name: "relu2" type: "ReLU" bottom: "conv2" top: "conv2"}layer { name: "score" type: "Convolution" bottom: "conv2" top: "score" param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0 } convolution_param { num_output: 2 pad: 0 kernel_size: 1 }}layer { name: "loss" type: "EuclideanLoss" bottom: "score" bottom: "label" top: "loss"}