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I am using CPU and compile dev caffe branch code.
In running, I fall in error of caffe_copy function of math_functions.cpp
template <typename Dtype>
voidcaffe_copy(constint N, const Dtype* X, Dtype* Y) {
if (X != Y) {
CUDA_CHECK(cudaMemcpy(Y, X, sizeof(Dtype) * N, cudaMemcpyDefault));
}
}
template void caffe_copy<int>(constint N, constint* X, int* Y);
template void caffe_copy<unsignedint>(constint N, constunsignedint* X,
unsignedint* Y);
template void caffe_copy<float>(constint N, constfloat* X, float* Y);
template void caffe_copy<double>(constint N, constdouble* X, double* Y);
Error:
F0707 17:17:38.314750 16392 math_functions.cpp:156] Check failed: error == cudaS
uccess (35 vs. 0) CUDA driver version is insufficient for CUDA runtime version
The text was updated successfully, but these errors were encountered:
I am using CPU and compile dev caffe branch code.
In running, I fall in error of caffe_copy function of math_functions.cpp
Error:
F0707 17:17:38.314750 16392 math_functions.cpp:156] Check failed: error == cudaS
uccess (35 vs. 0) CUDA driver version is insufficient for CUDA runtime version
The text was updated successfully, but these errors were encountered: