Assertion Failed: trns_high not always >= trns_low

I have successfully compiled it on Ubuntu14.04(64bits) with Cuda6.5. 
When I run "script_face_exp.m", I got the following errors:

--------------------------------------------------------------------
~~FERMI~~
 {Input} (-1)-->layer{0} Convdata:   nFilters:1 nIJ_grid:48 48, dropout:0.000 
{Hidn} (0)-->layer{1}  ImageMirror:    nVisChannels:1 nVisIJ:[48 48],Error 
using mexcuConvNNoo
Assertion Failed: trns_high not always >= trns_low

Error in myclassify_conv_nn_softmax (line 174)
        [~, model.theta] = mexcuConvNNoo( single(ww), params,
        model.callback_name);

Error in fe_cv_48 (line 143)
    [model] = myclassify_conv_nn_softmax(model);

Error in script_face_exp (line 72)
[cv_average,cv_models]=fe_cv_48(hp.nSPLIT,hp.randseeds,hp.normalseeds,hp);

----------------------------------------------------------------
My GPU info is as below (./deviceQuery ):
Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 645"
  CUDA Driver Version / Runtime Version          6.5 / 6.5
  CUDA Capability Major/Minor version number:    3.0
  Total amount of global memory:                 1024 MBytes (1073414144 bytes)
  ( 3) Multiprocessors, (192) CUDA Cores/MP:     576 CUDA Cores
  GPU Clock rate:                                824 MHz (0.82 GHz)
  Memory Clock rate:                             2000 Mhz
  Memory Bus Width:                              128-bit
  L2 Cache Size:                                 262144 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
  Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 2048 layers
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  2048
  Maximum number of threads per block:           1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Concurrent copy and kernel execution:          Yes with 1 copy engine(s)
  Run time limit on kernels:                     Yes
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  Device supports Unified Addressing (UVA):      Yes
  Device PCI Bus ID / PCI location ID:           1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.5, CUDA Runtime 
Version = 6.5, NumDevs = 1, Device0 = GeForce GTX 645
Result = PASS
----------------------------------------------------------------

Thanks!

best,
-Lei
Original issue reported on code.google.com by qule...@gmail.com on 15 Dec 2014 at 1:08
cheaster / deep-learning-faces

Assertion Failed: trns_high not always >= trns_low #4
