Closed manjunaths closed 8 years ago
Line 21. Hmmm. Can you re-update clnn (luarocks install clnn
), and reconfirm the problem still exists please? If it still exists, please can you provide lines 18-24 of /usr2/manju/Moonshot/DeepLearning/opencl/torch/install/share/lua/5.1/clnn/SpatialConvolutionMM.lua please?
Yes, the problem still exists...
/usr2/manju/Moonshot/DeepLearning/opencl/torch/install/bin/lua: .../install/share/lua/5.1/clnn/SpatialConvolutionMM.lua:21: bad argument #1 (field gradInput does not exist) stack traceback: C: in function 'SpatialConvolutionMM_updateGradInput' .../install/share/lua/5.1/clnn/SpatialConvolutionMM.lua:21: in function 'updateGradInput' ...opencl/torch/install/share/lua/5.1/nn/Sequential.lua:58: in function 'updateGradInput' ...opencl/torch/install/share/lua/5.1/nn/Sequential.lua:58: in function 'updateGradInput' imagenet_winners/benchmark.lua:45: in main chunk C: in function 'dofile' .../torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk
The lines 18-24 are:
18 return self:baseUpdateGradInput(input, gradOutput)
19 end
20
21 return input.nn.SpatialConvolutionMM_updateGradInput(self, input, gradOutput)
22 end
23
24 function nn.SpatialConvolutionMM:accGradParameters(input, gradOutput, scale)
Hmmm... I wonder... am I accidetnally trying to run the cpu functions? :-P Ok, I shall ponder a bit...
Hmmm, tests seem to be really running the gpu methods, on my machine, with very latest nn
installed. Can you just confirm that the tests pass ok please? ie luajit -l clnn -e 'clnn.test()'
.
Hmmmm, I get the same error message actually.
Well... actually .... slightly different:
$ luajit imagenet_winners/benchmark.lua
libthclnn_searchpath /home/ubuntu/torch/install/lib/lua/5.1/libTHCLNN.so
Running on device: GRID K520
Using NVIDIA Corporation , OpenCL platform: NVIDIA CUDA
Using OpenCL device: GRID K520
ModelType: OverFeat[fast] Kernels: clnn Input shape: 4x3x231x231
warming up
luajit: /home/ubuntu/torch/install/share/lua/5.1/nn/Sequential.lua:58: bad argument #1 (field gradInput does not exist)
stack traceback:
[C]: in function 'updateGradInput'
/home/ubuntu/torch/install/share/lua/5.1/nn/Sequential.lua:58: in function 'updateGradInput'
/home/ubuntu/torch/install/share/lua/5.1/nn/Sequential.lua:58: in function 'updateGradInput'
imagenet_winners/benchmark.lua:47: in main chunk
[C]: at 0x00406670
Hello, Sorry to be a bother, but any updates on this ?
You're right. I should fix this... please feel free to ping me once a day, till I fix it. Tomorrow is good, since its saturday :-)
I don't know if this is helpful. But I had a cltorch tree from 15 Dec 2015 and that doesn't have this issue.
I don't know if this is helpful. But I had a cltorch tree from 15 Dec 2015 and that doesn't have this issue.
yes, its something to do wit hthe THNN changes.
Fixed in https://github.com/hughperkins/clnn/commit/9bfe115b969796334c924e27ac1544d0576a10fe , I think. Try now? (Edit: note, you'll need to reinstall clnn, ie luarocks install clnn
)
Hello, Yesterday convnet-benchmarks were running and today something is broken! :-)
I am getting this error. I completely did a fresh install of convnet-benchmarks, torch, cltorch and clnn and I am still unable to fix the error.
Please help.
[manju@anders-15 cltorch]$ th imagenet_winners/benchmark.lua libthclnn_searchpath /usr2/manju/Moonshot/DeepLearning/opencl/torch/install/lib/lua/5.1/libTHCLNN.so Running on device: Intel(R) HD Graphics Using Intel(R) Corporation , OpenCL platform: Intel(R) OpenCL Using OpenCL device: Intel(R) HD Graphics ModelType: OverFeat[fast] Kernels: clnn Input shape: 128x3x231x231 Apply_1t_1s0pt-2_*out = val1 build log: fcl build 1 succeeded. fcl build 2 succeeded. bcl build succeeded.
SpatialConvolutionMM.cl build log: fcl build 1 succeeded. fcl build 2 succeeded. bcl build succeeded.
Apply_1t_0s0pt-2__out = (_out > 0) ? *out : 0 build log: fcl build 1 succeeded. fcl build 2 succeeded. bcl build succeeded.
/tmp/luarocks_clnn-scm-1-314/clnn/SpatialMaxPooling.cpp build log: fcl build 1 succeeded. fcl build 2 succeeded. bcl build succeeded.
Apply_2t_0s0pt-2-2out = ( in1 > 0) ? *in1 : 1e-06f build log: fcl build 1 succeeded. fcl build 2 succeeded. bcl build succeeded.
Apply_3t_0s0pt-2-2-2__out = (_in1 > 0) ? *in2 : 0.0f build log: fcl build 1 succeeded. fcl build 2 succeeded. bcl build succeeded.
/tmp/luarocks_clnn-scm-1-314/clnn/SpatialMaxPooling.cpp build log: fcl build 1 succeeded. fcl build 2 succeeded. bcl build succeeded.
SpatialConvolutionMM.cl build log: fcl build 1 succeeded. fcl build 2 succeeded. bcl build succeeded.
/usr2/manju/Moonshot/DeepLearning/opencl/torch/install/bin/lua: .../install/share/lua/5.1/clnn/SpatialConvolutionMM.lua:21: bad argument #1 (field gradInput does not exist) stack traceback: C: in function 'SpatialConvolutionMM_updateGradInput' .../install/share/lua/5.1/clnn/SpatialConvolutionMM.lua:21: in function 'updateGradInput' ...opencl/torch/install/share/lua/5.1/nn/Sequential.lua:58: in function 'updateGradInput' ...opencl/torch/install/share/lua/5.1/nn/Sequential.lua:58: in function 'updateGradInput' imagenet_winners/benchmark.lua:45: in main chunk C: in function 'dofile' .../torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk