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I have successfully compiled it on Ubuntu14.04(64bits) with Cuda6.5.
When I run "script_face_exp.m", I got the following errors:
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~~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);
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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
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Thanks!
best,
-Lei
Original issue reported on code.google.com by [email protected] on 15 Dec 2014 at 1:08
The text was updated successfully, but these errors were encountered:
Original issue reported on code.google.com by
[email protected]
on 15 Dec 2014 at 1:08The text was updated successfully, but these errors were encountered: