if I set resize to 1*128 (height * width), I can get error .....
I0331 03:49:30.395200 17970 layer_factory.hpp:76] Creating layer data
I0331 03:49:30.396656 17970 net.cpp:106] Creating Layer data
I0331 03:49:30.396710 17970 net.cpp:411] data -> data
I0331 03:49:30.396767 17970 net.cpp:411] data -> label
I0331 03:49:30.396782 17972 db_lmdb.cpp:38] Opened lmdb examples/mytry/img_train_lmdb
I0331 03:49:30.396808 17970 data_transformer.cpp:25] Loading mean file from: examples/mytry/mean.binaryproto
I0331 03:49:30.396989 17970 data_layer.cpp:41] output data size: 256,3,1,128
I0331 03:49:30.400944 17970 net.cpp:150] Setting up data
I0331 03:49:30.400993 17970 net.cpp:157] Top shape: 256 3 1 128 (98304)
I0331 03:49:30.401006 17970 net.cpp:157] Top shape: 256 (256)
I0331 03:49:30.401012 17970 net.cpp:165] Memory required for data: 394240
I0331 03:49:30.401080 17970 layer_factory.hpp:76] Creating layer conv1
I0331 03:49:30.401098 17970 net.cpp:106] Creating Layer conv1
I0331 03:49:30.401108 17970 net.cpp:454] conv1 <- data
I0331 03:49:30.401124 17970 net.cpp:411] conv1 -> conv1
F0331 03:49:30.402144 17970 blob.cpp:32] Check failed: shape[i] >= 0 (-1 vs. 0)
*** Check failure stack trace: ***
@ 0x7fca2bf9ddaa (unknown)
@ 0x7fca2bf9dce4 (unknown)
@ 0x7fca2bf9d6e6 (unknown)
@ 0x7fca2bfa0687 (unknown)
@ 0x7fca2c4bfc4b caffe::Blob<>::Reshape()
@ 0x7fca2c5abc6a caffe::BaseConvolutionLayer<>::Reshape()
@ 0x7fca2c51a4f6 caffe::Net<>::Init()
@ 0x7fca2c51b5a5 caffe::Net<>::Net()
@ 0x7fca2c4e758a caffe::Solver<>::InitTrainNet()
@ 0x7fca2c4e879c caffe::Solver<>::Init()
@ 0x7fca2c4e8aa9 caffe::Solver<>::Solver()
@ 0x7fca2c4f6023 caffe::Creator_SGDSolver<>()
@ 0x410f66 caffe::SolverRegistry<>::CreateSolver()
@ 0x40a2fb train()
@ 0x4081e1 main
@ 0x7fca2acfeec5 (unknown)
@ 0x40899d (unknown)
@ (nil) (unknown)