Comments (9)
What does Pkg.build("CUDArt")
say?
from cudart.jl.
The specific issue was having installed everything from source, my build got interrupted by not having nvcc on the correct path. Manually building libwrapcuda from the CUDArt source with nvcc allowed me to import the module in Julia.
from cudart.jl.
Great, thanks for letting us know.
from cudart.jl.
@pearcemc I have the same problem. Could you please tell me how to build libwrapcuda from the CUDArt source with nvcc?
INFO: Precompiling module CUDArt...
ERROR: LoadError: LoadError: Cannot find libwrapcuda
in error at error.jl:21
while loading C:\Users\Miller.julia\v0.4\CUDArt\src\libcudart-6.5.jl, in expression starting on line 53
while loading C:\Users\Miller.julia\v0.4\CUDArt\src\CUDArt.jl, in expression starting on line 27
Failed to precompile CUDArt to C:\Users\Miller.julia\lib\v0.4\CUDArt.ji
in error at base\error.jl:21
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@timholy Thank you for replying me at #48 . It seems that the VS2015 problem was fixed but I met another problem about loading libwrapcuda.
from cudart.jl.
Can you paste the output of Pkg.build("CUDArt")
?
from cudart.jl.
Sure, it seems that the problem of VS2015 still exists. But I check the website of NVIDIA. It says that CUDA Toolkits can only be used with VS2013, Could that be the cause of this problem?
ENV["foo"] = "bar"
"bar"
haskey(ENV, "foo")
true
using CUDA
CUDA Driver Initialized
Pkg.build("CUDArt")
INFO: Building CUDArt
===============================[ ERROR: CUDArt ]================================
LoadError: Cannot find proper Visual Studio installation. VS 2013, 2012, or 2010 is required.
while loading C:\Users\Miller.julia\v0.4\CUDArt\deps\build.jl, in expression starting on line 10
================================[ BUILD ERRORS ]================================
WARNING: CUDArt had build errors.
- packages with build errors remain installed in C:\Users\Miller.julia\v0.4
- build the package(s) and all dependencies with
Pkg.build("CUDArt")
- build a single package by running its
deps/build.jl
script
from cudart.jl.
Until you get past the build error, you shouldn't expect anything else to work.
Sounds like you need VS2013 (but I'm no expert).
from cudart.jl.
Put
"windows? (
begin
if haskey(ENV, "VS140COMNTOOLS")
vs_cmd_prompt = string(ENV["VS140COMNTOOLS"], "..\..\VC\vcvarsall.bat")...."
in build.jl in "C:****.julia\v0.5\CUDArt\deps" if you have VS2015 installed. Then run Pkg.build("CUDAtr")
from cudart.jl.
Related Issues (20)
- Tests fail on Windows with 0.6 HOT 1
- Info about upcoming removal of packages in the General registry
- Support for ptx modules with external functions HOT 2
- Does CUDArt support cuda 8.0? HOT 1
- triggering gc based on gpu memory
- CUDArt assumptions not robust
- Precompile Error HOT 1
- Intermittent GC-related test failure (`isempty(cuda_ptrs)`) HOT 2
- New tag HOT 2
- Updated build script for visual studio 17 but get compile errors HOT 2
- error could not load library "libnvidia-ml" HOT 4
- Makefile needs to select correct gcc compiler HOT 1
- Rename types to CuArray, CuMatrix and so forth for consistency with CUDAdrv?
- CUDArt should not rely on `nvidia-smi` or `nvml` on Mac OSX HOT 31
- CUDArt fails to build when no CUDA device is present
- gcc5.4.0 support HOT 1
- OOB during package build HOT 7
- No method matching reset(::Cudadrv.CuPrimaryContext) HOT 3
- GCC Version On CUDA 8.0 HOT 3
- Unified Memory support HOT 11
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