# Error "ERROR\_NO\_BINARY\_FOR\_GPU" with CUDAnative.jl/CuArrays.jl

**URL:** <https://discourse.julialang.org/t/error-error-no-binary-for-gpu-with-cudanative-jl-cuarrays-jl/24130>\
**Category:** GPU\
**Tags:** cudanative, cuda\
**Created:** [May 12, 2019, 3:59am UTC](https://discourse.julialang.org/t/error-error-no-binary-for-gpu-with-cudanative-jl-cuarrays-jl/24130 "2019-05-12T03:59:41Z")\
**Posts on this page:** 5\
**Page:** 1

<div class="post-metadata">

**Author:** ![v-i-s-h](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/v-i-s-h/32/46152_2.png) [@v-i-s-h](https://discourse.julialang.org/u/v-i-s-h)\
**Post date:** [May 12, 2019, 3:59am UTC](https://discourse.julialang.org/t/error-error-no-binary-for-gpu-with-cudanative-jl-cuarrays-jl/24130/1 "2019-05-12T03:59:41Z")

</div>

Hi,  
I’m trying to install `CuArrays.jl`. Even though installation finishes without any errors, the tests are failing with the following error message:

```julia
  CUDA error: no kernel image is available for execution on the device (code #209, ERROR_NO_BINARY_FOR_GPU)

```

Same error occurs when I try to test `CUDAnative.jl`. However `CUDAdrv.jl` passes all tests.  
I even tried rebuilding,

```julia
(v1.1) pkg> build CuArrays
  Building CUDAdrv ───→ `~/.julia/packages/CUDAdrv/3cR2F/deps/build.log`
  Building LLVM ──────→ `~/.julia/packages/LLVM/tg8MX/deps/build.log`
  Building CUDAnative → `~/.julia/packages/CUDAnative/wU0tS/deps/build.log`
  Building Conda ─────→ `~/.julia/packages/Conda/CpuvI/deps/build.log`
  Building FFTW ──────→ `~/.julia/packages/FFTW/p7sLQ/deps/build.log`
  Building CuArrays ──→ `~/.julia/packages/CuArrays/PwSdF/deps/build.log`

```

but again the same error occurs during test.

System information is:

```julia
Julia Version 1.1.0
Commit 80516ca202 (2019-01-21 21:24 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.40GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)

```

Package status:

```julia
(v1.1) pkg> st
    Status `~/.julia/environments/v1.1/Project.toml`
  [3a865a2d] CuArrays v1.0.2
  [438e738f] PyCall v1.91.2

```

Result of `nvidia-smi` from terminal:

```julia
Sun May 12 09:13:54 2019       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.87 Driver Version: 390.87 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GT 610 Off | 00000000:02:00.0 N/A | N/A |
| 56% 70C P0 N/A / N/A | 721MiB / 1985MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GTX TIT... Off | 00000000:03:00.0 Off | N/A |
| 36% 77C P8 22W / 250W | 117MiB / 12212MiB | 0% Default |
+-------------------------------+----------------------+----------------------+

```

---

<div class="post-metadata">

**Author:** ![maleadt](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/maleadt/32/10097_2.png) [@maleadt](https://discourse.julialang.org/u/maleadt)\
**Post date:** [May 12, 2019, 7:23am UTC](https://discourse.julialang.org/t/error-error-no-binary-for-gpu-with-cudanative-jl-cuarrays-jl/24130/2 "2019-05-12T07:23:41Z")

</div>

> [@v-i-s-h](#):
>
> the tests are failing with the following error message

Which test fails? Please reduce that, if possible, and file an issue with some info on your device and set-up (model, compute capability, CUDA version, etc).

Probably some feature is being tested although it isn’t supported by your device. We currently don’t have a way to dispatch on that.

---

<div class="post-metadata">

**Author:** ![v-i-s-h](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/v-i-s-h/32/46152_2.png) [@v-i-s-h](https://discourse.julialang.org/u/v-i-s-h)\
**Post date:** [May 12, 2019, 7:49am UTC](https://discourse.julialang.org/t/error-error-no-binary-for-gpu-with-cudanative-jl-cuarrays-jl/24130/3 "2019-05-12T07:49:54Z")

</div>

Lots of tests failed. I believe this is some kind of configuration issue.  
Below is the test summary.

```julia
Test Summary: | Pass Fail Error Total
CuArrays | 706 12 917 1635
  GPUArrays test suite | 526 366 892
    construction | 382 4 386
      constructors + similar | 180 180
      comparison against Array | 119 119
      conversion | 72 72
      value constructors | 11 1 12
      iterator constructors | 3 3
    parallel execution interface | 1 1
    indexing | 72 10 82
      Indexing with Float32 | 32 2 34
      multi dim, sliced setindex | 1 1
      Indexing with Int32 | 32 2 34
      multi dim, sliced setindex | 1 1
      Indexing with Float32 | 1 1 2
      Indexing with Int32 | 1 1 2
      issue #42 with Float32 | 3 3
      issue #42 with Int32 | 3 3
      Colon() Float32 | 1 1
      Colon() Int32 | 1 1
    input/output | 5 5
    base functionality | 4 16 20
      copyto! | 1 1
      vcat + hcat | 5 5
      reinterpret | 2 2
      ntuple test | 1 1
      cartesian iteration | 1 1
      Custom kernel from Julia function | 1 1
      map | 3 3
      repeat | 4 4
      heuristics | 2 2
    mapreduce | 51 162 213
      Float32 | 8 26 34
        mapreducedim | 18 18
        sum maximum minimum prod | 8 8 16
      Float64 | 8 26 34
        mapreducedim | 18 18
        sum maximum minimum prod | 8 8 16
      Int32 | 8 26 34
        mapreducedim | 18 18
        sum maximum minimum prod | 8 8 16
      Int64 | 8 26 34
        mapreducedim | 18 18
        sum maximum minimum prod | 8 8 16
      Complex{Float32} | 4 22 26
        mapreducedim | 18 18
        sum maximum minimum prod | 4 4 8
      Complex{Float64} | 4 22 26
        mapreducedim | 18 18
        sum maximum minimum prod | 4 4 8
      any all == | 9 12 21
      isapprox | 2 2 4
    broadcast | 2 105 107
      broadcast Float32 | 1 20 21
        RefValue | 1 1
        Tuple | 1 1
        Adjoint and Transpose | 1 1
      broadcast Float64 | 21 21
        RefValue | 1 1
        Tuple | 1 1
        Adjoint and Transpose | 1 1
      broadcast Int32 | 1 15 16
        RefValue | 1 1
        Tuple | 1 1
        Adjoint and Transpose | 1 1
      broadcast Int64 | 16 16
        RefValue | 1 1
        Tuple | 1 1
        Adjoint and Transpose | 1 1
      broadcast Complex{Float32} | 16 16
        RefValue | 1 1
        Tuple | 1 1
        Adjoint and Transpose | 1 1
      broadcast Complex{Float64} | 16 16
        RefValue | 1 1
        Tuple | 1 1
        Adjoint and Transpose | 1 1
      vec 3 | 1 1
    linear algebra | 10 4 14
      transpose | 2 2
      permutedims | 4 4
      issymmetric/ishermitian | 8 8
    FFT with ND = 1 | 4 4
    FFT with ND = 2 | 4 4
    FFT with ND = 3 | 4 4
    BLAS | 51 51
      matmul with element type Float32 | 12 12
      matmul with element type Float64 | 12 12
      matmul with element type Complex{Float32} | 12 12
      matmul with element type Complex{Float64} | 12 12
      rmul! Complex{Float32} | 1 1
      rmul! Float32 | 1 1
      gbmv | 1 1
    Random | 1 1
      rand | 1 1
  Memory | 5 5
  Array | 20 2 22
  Adapt | 1 1 2
  Broadcast | 10 10
  Cufunc | 3 3 6
  Ref Broadcast | 1 1
  Broadcast Fix | 4 4
  Reduce | 2 4 6
  0D | 1 1
  Slices | 15 2 17
  Reshape | 1 1
  LinearAlgebra.triu! with diagonal -2 | 1 1
  LinearAlgebra.triu! with diagonal -1 | 1 1
  LinearAlgebra.triu! with diagonal 0 | 1 1
  LinearAlgebra.triu! with diagonal 1 | 1 1
  LinearAlgebra.triu! with diagonal 2 | 1 1
  LinearAlgebra.tril! with diagonal -2 | 1 1
  LinearAlgebra.tril! with diagonal -1 | 1 1
  LinearAlgebra.tril! with diagonal 0 | 1 1
  LinearAlgebra.tril! with diagonal 1 | 1 1
  LinearAlgebra.tril! with diagonal 2 | 1 1
  Utilities | 2 2
  accumulate | 1 7 8
  logical indexing | 15 15
  generic fallbacks | 1 1
  CUDNN | 59 11 70
    NNlib | 59 8 67
    Activations and Other Ops | 3 3
  CUBLAS | 4 1 5
  CUSPARSE | 66 8 359 433
    util | 7 1 8
    char | 15 15
    conversion | 8 52 60
      elty = Float32 | 2 13 15
        make_csc | 2 2
        make_csr | 1 1
        convert_r2c | 1 1
        convert_r2b | 1 1
        convert_c2b | 1 1
        convert_c2h | 1 1
        convert_r2h | 1 1
        convert_d2h | 1 1
        convert_d2b | 1 1
        convert_c2r | 1 1
        convert_r2d | 1 1
        convert_c2d | 1 1
        convert_d2c | 1 1
        convert_d2r | 1 1
      elty = Float64 | 2 13 15
        make_csc | 2 2
        make_csr | 1 1
        convert_r2c | 1 1
        convert_r2b | 1 1
        convert_c2b | 1 1
        convert_c2h | 1 1
        convert_r2h | 1 1
        convert_d2h | 1 1
        convert_d2b | 1 1
        convert_c2r | 1 1
        convert_r2d | 1 1
        convert_c2d | 1 1
        convert_d2c | 1 1
        convert_d2r | 1 1
      elty = Complex{Float32} | 2 13 15
        make_csc | 2 2
        make_csr | 1 1
        convert_r2c | 1 1
        convert_r2b | 1 1
        convert_c2b | 1 1
        convert_c2h | 1 1
        convert_r2h | 1 1
        convert_d2h | 1 1
        convert_d2b | 1 1
        convert_c2r | 1 1
        convert_r2d | 1 1
        convert_c2d | 1 1
        convert_d2c | 1 1
        convert_d2r | 1 1
      elty = Complex{Float64} | 2 13 15
        make_csc | 2 2
        make_csr | 1 1
        convert_r2c | 1 1
        convert_r2b | 1 1
        convert_c2b | 1 1
        convert_c2h | 1 1
        convert_r2h | 1 1
        convert_d2h | 1 1
        convert_d2b | 1 1
        convert_c2r | 1 1
        convert_r2d | 1 1
        convert_c2d | 1 1
        convert_d2c | 1 1
        convert_d2r | 1 1
    bsric02 | 8 8
      elty = Float32 | 2 2
        bsric02! | 1 1
        bsric02 | 1 1
      elty = Float64 | 2 2
        bsric02! | 1 1
        bsric02 | 1 1
      elty = Complex{Float32} | 2 2
        bsric02! | 1 1
        bsric02 | 1 1
      elty = Complex{Float64} | 2 2
        bsric02! | 1 1
        bsric02 | 1 1
    bsrilu02 | 8 8
      elty = Float32 | 2 2
        bsrilu02! | 1 1
        bsrilu02 | 1 1
      elty = Float64 | 2 2
        bsrilu02! | 1 1
        bsrilu02 | 1 1
      elty = Complex{Float32} | 2 2
        bsrilu02! | 1 1
        bsrilu02 | 1 1
      elty = Complex{Float64} | 2 2
        bsrilu02! | 1 1
        bsrilu02 | 1 1
    bsrsm2 | 8 8
      elty = Float32 | 2 2
        bsrsm2! | 1 1
        bsrsm2 | 1 1
      elty = Float64 | 2 2
        bsrsm2! | 1 1
        bsrsm2 | 1 1
      elty = Complex{Float32} | 2 2
        bsrsm2! | 1 1
        bsrsm2 | 1 1
      elty = Complex{Float64} | 2 2
        bsrsm2! | 1 1
        bsrsm2 | 1 1
    bsrsv2 | 8 8
      elty = Float32 | 2 2
        bsrsv2! | 1 1
        bsrsv2 | 1 1
      elty = Float64 | 2 2
        bsrsv2! | 1 1
        bsrsv2 | 1 1
      elty = Complex{Float32} | 2 2
        bsrsv2! | 1 1
        bsrsv2 | 1 1
      elty = Complex{Float64} | 2 2
        bsrsv2! | 1 1
        bsrsv2 | 1 1
    ilu0 | 8 8
      elty = Float32 | 2 2
        csr | 1 1
        csc | 1 1
      elty = Float64 | 2 2
        csr | 1 1
        csc | 1 1
      elty = Complex{Float32} | 2 2
        csr | 1 1
        csc | 1 1
      elty = Complex{Float64} | 2 2
        csr | 1 1
        csc | 1 1
    ilu02 | 8 8
      elty = Float32 | 2 2
        csr | 1 1
        csc | 1 1
      elty = Float64 | 2 2
        csr | 1 1
        csc | 1 1
      elty = Complex{Float32} | 2 2
        csr | 1 1
        csc | 1 1
      elty = Complex{Float64} | 2 2
        csr | 1 1
        csc | 1 1
    ic0 | 8 8
      elty = Float32 | 2 2
        csr | 1 1
        csc | 1 1
      elty = Float64 | 2 2
        csr | 1 1
        csc | 1 1
      elty = Complex{Float32} | 2 2
        csr | 1 1
.........................
skipped due to discourse limits.
........................ 
      csreigs | 1 1
      csrlsqvqr! | 1 1
ERROR: LoadError: Some tests did not pass: 706 passed, 12 failed, 917 errored, 0 broken.
in expression starting at /home/kach/.julia/packages/CuArrays/PwSdF/test/runtests.jl:17
ERROR: Package CuArrays errored during testing

```

---

<div class="post-metadata">

**Author:** ![maleadt](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/maleadt/32/10097_2.png) [@maleadt](https://discourse.julialang.org/u/maleadt)\
**Post date:** [May 12, 2019, 6:41pm UTC](https://discourse.julialang.org/t/error-error-no-binary-for-gpu-with-cudanative-jl-cuarrays-jl/24130/4 "2019-05-12T18:41:27Z")

</div>

> [@v-i-s-h](#):
>
> Lots of tests failed. I believe this is some kind of configuration issue.

Not necessarily. CUDA errors are sticky, so the same one keeps popping up. If it also fails with CUDAnative, please post that test output / try to figure out which test is the first to fail.

---

<div class="post-metadata">

**Author:** ![v-i-s-h](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/v-i-s-h/32/46152_2.png) [@v-i-s-h](https://discourse.julialang.org/u/v-i-s-h)\
**Post date:** [May 13, 2019, 3:45am UTC](https://discourse.julialang.org/t/error-error-no-binary-for-gpu-with-cudanative-jl-cuarrays-jl/24130/5 "2019-05-13T03:45:26Z")

</div>

Hi @maleadt  
The complete test log for CUDAnative.jl is available at [https://gist.github.com/v-i-s-h/26b95fffa232d3c3bf80784b57a1b40a](https://gist.github.com/v-i-s-h/26b95fffa232d3c3bf80784b57a1b40a)

All the errors are due to the same condition:  
`CUDA error: no kernel image is available for execution on the device (code #209, ERROR_NO_BINARY_FOR_GPU)`