CUDA tests pass, Knet gpu.jl fails

[Ross Andrew Donnachie]

using Pkg; Pkg.test(["CUDAnative", "CUDAdrv", "CUDAapi", "CuArrays"]);

This all passes. Then (from https://github.com/denizyuret/Knet.jl/issues/411):

Pkg.add("Knet");Pkg.build("Knet");

using Knet; include(Knet.dir("test/gpu.jl"));

[ Info: Precompiling Knet [1902f260-5fb4-5aff-8c31-6271790ab950]

Knet.gpuCount() = 0

Knet.gpu() = -1

Knet.tk = ["C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.2"]

Knet.libknet8 = "C:\\Users\\Ross\\.julia\\packages\\Knet\\bTNMd\\deps\\libknet8"

Knet.cudartfound = false

Knet.nvmlfound = true

Knet.nvmlDriverVersion = "445.87"

Knet.nvmlVersion = "11.445.87"

gpu: Error During Test at C:\Users\Ross\.julia\packages\Knet\bTNMd\test\gpu.jl:3

  Got exception outside of a @test

  UndefVarError: lib not defined

  Stacktrace:

   [1] cudaDeviceGetPCIBusId(::Int64) at C:\Users\Ross\.julia\packages\Knet\bTNMd\src\gpu.jl:248

   [2] nvmlid(::Int64) at C:\Users\Ross\.julia\packages\Knet\bTNMd\src\gpu.jl:260

   [3] nvmlDeviceGetMemoryInfo() at C:\Users\Ross\.julia\packages\Knet\bTNMd\src\gpu.jl:270

   [4] top-level scope at show.jl:613

   [5] top-level scope at C:\Users\Ross\.julia\packages\Knet\bTNMd\test\gpu.jl:22

   [6] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1113

   [7] top-level scope at C:\Users\Ross\.julia\packages\Knet\bTNMd\test\gpu.jl:5

   [8] include(::String) at .\client.jl:439

   [9] top-level scope at REPL[5]:1

   [10] eval(::Module, ::Any) at .\boot.jl:331

   [11] eval_user_input(::Any, ::REPL.REPLBackend) at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\REPL\src\REPL.jl:86

   [12] macro expansion at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\REPL\src\REPL.jl:118 [inlined]

   [13] (::REPL.var"#26#27"{REPL.REPLBackend})() at .\task.jl:358

Test Summary: | Error  Total

gpu           |     1      1

ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 1 errored, 0 broken.

in expression starting at C:\Users\Ross\.julia\packages\Knet\bTNMd\test\gpu.jl:3

I have tried to reset with gpu(-1) and then regrab with gpu(0) which still returns -1;
The CuArrays test correctly grabs my gpu:

[ Info: Testing using device GeForce GTX 1060 with Max-Q Design (compute capability 6.1.0, 4.969 GiB available memory) on CUDA driver 11.0.0 and toolkit 10.2.89

[ Info: Testing CUDNN 7.6.5

Any help to get Knet to use my gpu?

Thanks!

[Deniz Yuret]

Knet currently uses the NVIDIA compiler nvcc, so the full CUDA toolkit needs to be installed. Please refer to the installation section of the doc.

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[Ross Andrew Donnachie]

Apologies, I didn't mention it because it is such a clear point in the docs. I have installed the full CUDA toolkit and patched it with cuDNN.

> nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_19:32:27_Pacific_Daylight_Time_2019
Cuda compilation tools, release 10.2, V10.2.89

Thanks Prof. Yuret

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[Ross Andrew Donnachie]

P.S. The toolkit etc was installed before Julia's CUDA packages.

[Deniz Yuret]

Knet/deps/build.jl seems to have an issue. build.log may have some clues. Or you may try `julia build.jl` in that directory to see what’s wrong.

On Fri, May 8, 2020 at 1:37 PM Ross Andrew Donnachie <radon...@gmail.com> wrote:

P.S. The toolkit etc was installed before Julia's CUDA packages.

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[Iulian-Vasile Cioarca]

Did you try adding Knet#master? I think the fix was merged, but v1.3.6 is not released yet.

https://github.com/denizyuret/Knet.jl/pull/549

[Ross Andrew Donnachie]

julia build.jl produced no output and build.log was empty.

On Friday, May 8, 2020 at 1:02:26 PM UTC+2, DENIZ YURET wrote:

Knet/deps/build.jl seems to have an issue. build.log may have some clues. Or you may try `julia build.jl` in that directory to see what’s wrong.

On Fri, May 8, 2020 at 1:37 PM Ross Andrew Donnachie <radon...@gmail.com> wrote:

P.S. The toolkit etc was installed before Julia's CUDA packages.

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[Ross Andrew Donnachie]

This solves it. <3

Many thanks for the responses and the work on Knet.

Much love!