However, I cannot install the dependencies correctly.
>bash install-deps
E: Package 'python-software-properties' has no installation candidate
I changed this to python-software-properties to software-properties-common.
But the I get :
E: Package 'libqt4-dev' has no installation candidate
E: Package 'ipython' has no installation candidate
I changed the installation of ipython from apt-get to pip.
And added the reponinformation for qt4:
>sudo add-apt-repository ppa:rock-core/qt4
Then, I could install the dependencies.
install.sh
Before running ./install.sh. I installed the newest CMake version from github.
The install script ended with:
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_cublas_device_LIBRARY (ADVANCED)
linked by target "THC" in directory ~/torch/extra/cutorch/lib/THC
-- Generating done
CMake Generate step failed. Build files cannot be regenerated correctly.
Error: Build error: Failed building.
Apparently that is a CUDA 10 related problem.
So, I tried the fork from nagadomi, which apparently works for CUDA 10.
.isManaged error:
This time ./install.sh resulted in:
~/torch/extra/cutorch/init.c: In function ‘cutorch_isManagedPtr’:
~/torch/extra/cutorch/init.c:938:34: error: ‘struct cudaPointerAttributes’ has no member named ‘isManaged’
938 | lua_pushboolean(L, attributes.isManaged);
| ^
make[2]: *** [CMakeFiles/cutorch.dir/build.make:94: CMakeFiles/cutorch.dir/init.c.o] Error 1
make[2]: *** Waiting for unfinished jobs....
make[1]: *** [CMakeFiles/Makefile2:142: CMakeFiles/cutorch.dir/all] Error 2
make: *** [Makefile:136: all] Error 2
Error: Build error: Failed building.
I replace.isManaged with .type == 3 as suggested here.
static int cutorch_isManagedPtr(lua_State *L)
{
THCState *state = cutorch_getstate(L);
if(lua_type(L, 1) != LUA_TNUMBER) {
THError("Must receive a ptr cast as a number");
}
void* ptr = (void* )luaL_optinteger(L, 1, 0);
struct cudaPointerAttributes attributes;
cudaError_t res = cudaPointerGetAttributes(&attributes, ptr);
if (res == cudaErrorInvalidValue) {
lua_pushboolean(L, 0);
} else {
THCudaCheck(res);
lua_pushboolean(L, attributes.type ==3 );
}
return 1;
}
Then
./clean.sh; ./install.sh
now returns:
...
error: #error -- unsupported GNU version! gcc versions later than 8 are not supported!
138 | #error -- unsupported GNU version! gcc versions later than 8 are not supported!
...
And I tried
CC=gcc-7 CXX=g++-7 ./install.sh
That returned the same error message. So, I downgraded to gcc 7.5.
That also did not work.
Any suggestions, how can get it to run?
cmake --version
cmake version 3.22.20220103-gf940c83
nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
Is there recipe to install torch currently on Ubuntu 20.04?
I installed cuda from here.
And followed the instructions on torch.ch.
However, I cannot install the dependencies correctly.
I changed this to python-software-properties to software-properties-common.
But the I get :
I changed the installation of ipython from apt-get to pip.
And added the reponinformation for qt4:
>sudo add-apt-repository ppa:rock-core/qt4
Then, I could install the dependencies.
install.sh
Before running
./install.sh
. I installed the newest CMake version from github.The install script ended with:
Apparently that is a CUDA 10 related problem.
So, I tried the fork from nagadomi, which apparently works for CUDA 10.
.isManaged
error:This time
./install.sh
resulted in:I replace
.isManaged
with.type == 3
as suggested here.Then
./clean.sh; ./install.sh
now returns:
And I tried
CC=gcc-7 CXX=g++-7 ./install.sh
That returned the same error message. So, I downgraded to gcc 7.5.
That also did not work.
Any suggestions, how can get it to run?
cmake --version cmake version 3.22.20220103-gf940c83
nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2019 NVIDIA Corporation Built on Sun_Jul_28_19:07:16_PDT_2019 Cuda compilation tools, release 10.1, V10.1.243