Hi, all,
I am a new CNN learning and trying run cuda-convnet on different GPU platforms.
Cuda-convnet can run well on my server. but when I run cuda-convnet with the gpgpusim simulator. an error happenes. The error is "ImportError: /usr/local/cuda/lib64/libcublas.so.4: undefined symbol: cudaMemsetAsync"
The details are like this:
Importing _ConvNet C++ module
Traceback (most recent call last):
File "convnet.py", line 203, in
model = ConvNet(op, load_dic)
File "convnet.py", line 43, in init
IGPUModel.init(self, "ConvNet", op, load_dic, filename_options, dp_params=dp_params)
File "/root/convnet/trunk/gpumodel.py", line 88, in init
self.import_model()
File "convnet.py", line 49, in import_model
self.libmodel = import(lib_name)
ImportError: /usr/local/cuda/lib64/libcublas.so.4: undefined symbol: cudaMemsetAsync
The wired thing is the gpugpusim can run other cuda code. Cuda-convnet can run well on my server.
I setup my gpgpusim simulator following its tutorial and copy the config files into the convnet's work path, and then I type ""
My gcc version is gcc version 4.4.7 (Ubuntu/Linaro 4.4.7-8ubuntu1) . The GPU model is GTX480.
My cuda is version 4.0.
Here is the output of my libcublas.so
nm -D /usr/local/cuda/lib64/libcublas.so |grep ‘cuda’
U __cudaRegisterFatBinary
U __cudaRegisterFunction
U __cudaRegisterTexture
U __cudaUnregisterFatBinary
U cudaBindTexture
U cudaConfigureCall
U cudaCreateChannelDesc
U cudaEventCreateWithFlags
U cudaEventDestroy
U cudaEventQuery
U cudaEventRecord
U cudaEventSynchronize
U cudaFree
U cudaFuncGetAttributes
U cudaGetDevice
U cudaGetDeviceProperties
U cudaGetExportTable
U cudaGetLastError
U cudaLaunch
U cudaMalloc
U cudaMemcpy
U cudaMemcpy2D
U cudaMemcpy2DAsync
U cudaMemcpyAsync
U cudaMemsetAsync
U cudaSetupArgument
U cudaThreadSynchronize
U cudaUnbindTexture
Hi, all, I am a new CNN learning and trying run cuda-convnet on different GPU platforms. Cuda-convnet can run well on my server. but when I run cuda-convnet with the gpgpusim simulator. an error happenes. The error is "ImportError: /usr/local/cuda/lib64/libcublas.so.4: undefined symbol: cudaMemsetAsync" The details are like this:
The wired thing is the gpugpusim can run other cuda code. Cuda-convnet can run well on my server. I setup my gpgpusim simulator following its tutorial and copy the config files into the convnet's work path, and then I type ""
My gcc version is gcc version 4.4.7 (Ubuntu/Linaro 4.4.7-8ubuntu1) . The GPU model is GTX480. My cuda is version 4.0. Here is the output of my libcublas.so
nm -D /usr/local/cuda/lib64/libcublas.so |grep ‘cuda’ll /usr/local/cuda/lib64/libcublas.soShould I change something in the makefile? Due to the requirement of the gpgpusim simulator, I could not update the Cuda toolkit version.
Could anyone help me out with this issue? Thanks a lot in advance!