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1.5.1-pre-0d71d8cd8b.log
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Julia Version 1.5.1-pre.28
Commit 0d71d8cd8b (2020-08-14 20:35 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-9.0.1 (ORCJIT, skylake-avx512)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed OffsetArrays ───────────────── v0.11.4
Installed CompilerSupportLibraries_jll ─ v0.3.3+0
Installed FFTW_jll ───────────────────── v3.3.9+5
Installed TranscodingStreams ─────────── v0.9.5
Installed SpecialFunctions ───────────── v0.9.0
Installed StatsBase ──────────────────── v0.32.2
Installed ImageCore ──────────────────── v0.8.14
Installed Photon ─────────────────────── v0.2.0
Installed CEnum ──────────────────────── v0.4.1
Installed FileIO ─────────────────────── v1.4.1
Installed ImageMorphology ────────────── v0.2.8
Installed GPUCompiler ────────────────── v0.5.5
Installed ImageDistances ─────────────── v0.2.7
Installed ImageTransformations ───────── v0.8.5
Installed DataStructures ─────────────── v0.17.20
Installed StaticArrays ───────────────── v0.12.4
Installed TensorBoardLogger ──────────── v0.1.10
Installed SortingAlgorithms ──────────── v0.3.1
Installed CatIndices ─────────────────── v0.2.1
Installed IntelOpenMP_jll ────────────── v2018.0.3+0
Installed MosaicViews ────────────────── v0.2.2
Installed BinaryProvider ─────────────── v0.5.10
Installed ImageAxes ──────────────────── v0.6.4
Installed MacroTools ─────────────────── v0.5.5
Installed ImageFiltering ─────────────── v0.6.9
Installed Images ─────────────────────── v0.18.0
Installed Zlib_jll ───────────────────── v1.2.11+15
Installed OpenSpecFun_jll ────────────── v0.5.3+3
Installed Requires ───────────────────── v1.0.1
Installed ImageMetadata ──────────────── v0.7.2
Installed LLVM ───────────────────────── v2.0.0
Installed Interpolations ─────────────── v0.12.10
Installed Reexport ───────────────────── v0.2.0
Installed Graphics ───────────────────── v0.4.0
Installed CodecZlib ──────────────────── v0.7.0
Installed Compat ─────────────────────── v2.2.1
Installed IterTools ──────────────────── v1.3.0
Installed FFTW ───────────────────────── v1.2.2
Installed ProtoBuf ───────────────────── v0.8.0
Installed CUDA ───────────────────────── v1.2.1
Installed Distances ──────────────────── v0.8.2
Installed Missings ───────────────────── v0.4.3
Installed EllipsisNotation ───────────── v0.4.0
Installed MappedArrays ───────────────── v0.2.2
Installed FixedPointNumbers ──────────── v0.6.1
Installed GPUArrays ──────────────────── v5.0.0
Installed TimerOutputs ───────────────── v0.5.6
Installed Ratios ─────────────────────── v0.4.0
Installed IndirectArrays ─────────────── v0.5.1
Installed NaNMath ────────────────────── v0.3.4
Installed NNlib ──────────────────────── v0.7.4
Installed ImageShow ──────────────────── v0.2.3
Installed CoordinateTransformations ──── v0.6.0
Installed Rotations ──────────────────── v1.0.1
Installed ColorVectorSpace ───────────── v0.7.1
Installed IdentityRanges ─────────────── v0.3.1
Installed AxisAlgorithms ─────────────── v1.0.0
Installed WoodburyMatrices ───────────── v0.5.2
Installed FFTViews ───────────────────── v0.3.1
Installed RangeArrays ────────────────── v0.3.2
Installed OrderedCollections ─────────── v1.3.0
Installed JLD2 ───────────────────────── v0.1.14
Installed IntervalSets ───────────────── v0.5.1
Installed PaddedViews ────────────────── v0.5.5
Installed AxisArrays ─────────────────── v0.3.3
Installed AbstractFFTs ───────────────── v0.5.0
Installed AutoGrad ───────────────────── v1.2.3
Installed CustomUnitRanges ───────────── v1.0.0
Installed TiledIteration ─────────────── v0.2.4
Installed Adapt ──────────────────────── v2.0.2
Installed SimpleTraits ───────────────── v0.9.2
Installed DataAPI ────────────────────── v1.3.0
Installed ColorTypes ─────────────────── v0.8.1
Installed ComputationalResources ─────── v0.3.2
Installed Knet ───────────────────────── v1.3.9
Installed MKL_jll ────────────────────── v2020.2.254+0
Installed ExprTools ──────────────────── v0.1.1
Installed ImageMagick ────────────────── v0.7.5
Installed Colors ─────────────────────── v0.9.6
Updating `~/.julia/environments/v1.5/Project.toml`
[0bf025f6] + Photon v0.2.0
Updating `~/.julia/environments/v1.5/Manifest.toml`
[621f4979] + AbstractFFTs v0.5.0
[79e6a3ab] + Adapt v2.0.2
[6710c13c] + AutoGrad v1.2.3
[13072b0f] + AxisAlgorithms v1.0.0
[39de3d68] + AxisArrays v0.3.3
[b99e7846] + BinaryProvider v0.5.10
[fa961155] + CEnum v0.4.1
[052768ef] + CUDA v1.2.1
[aafaddc9] + CatIndices v0.2.1
[944b1d66] + CodecZlib v0.7.0
[3da002f7] + ColorTypes v0.8.1
[c3611d14] + ColorVectorSpace v0.7.1
[5ae59095] + Colors v0.9.6
[34da2185] + Compat v2.2.1
[e66e0078] + CompilerSupportLibraries_jll v0.3.3+0
[ed09eef8] + ComputationalResources v0.3.2
[150eb455] + CoordinateTransformations v0.6.0
[dc8bdbbb] + CustomUnitRanges v1.0.0
[9a962f9c] + DataAPI v1.3.0
[864edb3b] + DataStructures v0.17.20
[b4f34e82] + Distances v0.8.2
[da5c29d0] + EllipsisNotation v0.4.0
[e2ba6199] + ExprTools v0.1.1
[4f61f5a4] + FFTViews v0.3.1
[7a1cc6ca] + FFTW v1.2.2
[f5851436] + FFTW_jll v3.3.9+5
[5789e2e9] + FileIO v1.4.1
[53c48c17] + FixedPointNumbers v0.6.1
[0c68f7d7] + GPUArrays v5.0.0
[61eb1bfa] + GPUCompiler v0.5.5
[a2bd30eb] + Graphics v0.4.0
[bbac6d45] + IdentityRanges v0.3.1
[2803e5a7] + ImageAxes v0.6.4
[a09fc81d] + ImageCore v0.8.14
[51556ac3] + ImageDistances v0.2.7
[6a3955dd] + ImageFiltering v0.6.9
[6218d12a] + ImageMagick v0.7.5
[bc367c6b] + ImageMetadata v0.7.2
[787d08f9] + ImageMorphology v0.2.8
[4e3cecfd] + ImageShow v0.2.3
[02fcd773] + ImageTransformations v0.8.5
[916415d5] + Images v0.18.0
[9b13fd28] + IndirectArrays v0.5.1
[1d5cc7b8] + IntelOpenMP_jll v2018.0.3+0
[a98d9a8b] + Interpolations v0.12.10
[8197267c] + IntervalSets v0.5.1
[c8e1da08] + IterTools v1.3.0
[033835bb] + JLD2 v0.1.14
[1902f260] + Knet v1.3.9
[929cbde3] + LLVM v2.0.0
[856f044c] + MKL_jll v2020.2.254+0
[1914dd2f] + MacroTools v0.5.5
[dbb5928d] + MappedArrays v0.2.2
[e1d29d7a] + Missings v0.4.3
[e94cdb99] + MosaicViews v0.2.2
[872c559c] + NNlib v0.7.4
[77ba4419] + NaNMath v0.3.4
[6fe1bfb0] + OffsetArrays v0.11.4
[efe28fd5] + OpenSpecFun_jll v0.5.3+3
[bac558e1] + OrderedCollections v1.3.0
[5432bcbf] + PaddedViews v0.5.5
[0bf025f6] + Photon v0.2.0
[3349acd9] + ProtoBuf v0.8.0
[b3c3ace0] + RangeArrays v0.3.2
[c84ed2f1] + Ratios v0.4.0
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v1.0.1
[6038ab10] + Rotations v1.0.1
[699a6c99] + SimpleTraits v0.9.2
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.9.0
[90137ffa] + StaticArrays v0.12.4
[2913bbd2] + StatsBase v0.32.2
[899adc3e] + TensorBoardLogger v0.1.10
[06e1c1a7] + TiledIteration v0.2.4
[a759f4b9] + TimerOutputs v0.5.6
[3bb67fe8] + TranscodingStreams v0.9.5
[efce3f68] + WoodburyMatrices v0.5.2
[83775a58] + Zlib_jll v1.2.11+15
[2a0f44e3] + Base64
[8bf52ea8] + CRC32c
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building FFTW ───────→ `~/.julia/packages/FFTW/kcXL6/deps/build.log`
Building ImageMagick → `~/.julia/packages/ImageMagick/vMfoS/deps/build.log`
Testing Photon
Status `/tmp/jl_K0RvN3/Project.toml`
[944b1d66] CodecZlib v0.7.0
[6218d12a] ImageMagick v0.7.5
[916415d5] Images v0.18.0
[033835bb] JLD2 v0.1.14
[1902f260] Knet v1.3.9
[1914dd2f] MacroTools v0.5.5
[0bf025f6] Photon v0.2.0
[189a3867] Reexport v0.2.0
[899adc3e] TensorBoardLogger v0.1.10
[de0858da] Printf
[9a3f8284] Random
[9e88b42a] Serialization
[10745b16] Statistics
[8dfed614] Test
Status `/tmp/jl_K0RvN3/Manifest.toml`
[621f4979] AbstractFFTs v0.5.0
[79e6a3ab] Adapt v2.0.2
[6710c13c] AutoGrad v1.2.3
[13072b0f] AxisAlgorithms v1.0.0
[39de3d68] AxisArrays v0.3.3
[b99e7846] BinaryProvider v0.5.10
[fa961155] CEnum v0.4.1
[052768ef] CUDA v1.2.1
[aafaddc9] CatIndices v0.2.1
[944b1d66] CodecZlib v0.7.0
[3da002f7] ColorTypes v0.8.1
[c3611d14] ColorVectorSpace v0.7.1
[5ae59095] Colors v0.9.6
[34da2185] Compat v2.2.1
[e66e0078] CompilerSupportLibraries_jll v0.3.3+0
[ed09eef8] ComputationalResources v0.3.2
[150eb455] CoordinateTransformations v0.6.0
[dc8bdbbb] CustomUnitRanges v1.0.0
[9a962f9c] DataAPI v1.3.0
[864edb3b] DataStructures v0.17.20
[b4f34e82] Distances v0.8.2
[da5c29d0] EllipsisNotation v0.4.0
[e2ba6199] ExprTools v0.1.1
[4f61f5a4] FFTViews v0.3.1
[7a1cc6ca] FFTW v1.2.2
[f5851436] FFTW_jll v3.3.9+5
[5789e2e9] FileIO v1.4.1
[53c48c17] FixedPointNumbers v0.6.1
[0c68f7d7] GPUArrays v5.0.0
[61eb1bfa] GPUCompiler v0.5.5
[a2bd30eb] Graphics v0.4.0
[bbac6d45] IdentityRanges v0.3.1
[2803e5a7] ImageAxes v0.6.4
[a09fc81d] ImageCore v0.8.14
[51556ac3] ImageDistances v0.2.7
[6a3955dd] ImageFiltering v0.6.9
[6218d12a] ImageMagick v0.7.5
[bc367c6b] ImageMetadata v0.7.2
[787d08f9] ImageMorphology v0.2.8
[4e3cecfd] ImageShow v0.2.3
[02fcd773] ImageTransformations v0.8.5
[916415d5] Images v0.18.0
[9b13fd28] IndirectArrays v0.5.1
[1d5cc7b8] IntelOpenMP_jll v2018.0.3+0
[a98d9a8b] Interpolations v0.12.10
[8197267c] IntervalSets v0.5.1
[c8e1da08] IterTools v1.3.0
[033835bb] JLD2 v0.1.14
[1902f260] Knet v1.3.9
[929cbde3] LLVM v2.0.0
[856f044c] MKL_jll v2020.2.254+0
[1914dd2f] MacroTools v0.5.5
[dbb5928d] MappedArrays v0.2.2
[e1d29d7a] Missings v0.4.3
[e94cdb99] MosaicViews v0.2.2
[872c559c] NNlib v0.7.4
[77ba4419] NaNMath v0.3.4
[6fe1bfb0] OffsetArrays v0.11.4
[efe28fd5] OpenSpecFun_jll v0.5.3+3
[bac558e1] OrderedCollections v1.3.0
[5432bcbf] PaddedViews v0.5.5
[0bf025f6] Photon v0.2.0
[3349acd9] ProtoBuf v0.8.0
[b3c3ace0] RangeArrays v0.3.2
[c84ed2f1] Ratios v0.4.0
[189a3867] Reexport v0.2.0
[ae029012] Requires v1.0.1
[6038ab10] Rotations v1.0.1
[699a6c99] SimpleTraits v0.9.2
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.9.0
[90137ffa] StaticArrays v0.12.4
[2913bbd2] StatsBase v0.32.2
[899adc3e] TensorBoardLogger v0.1.10
[06e1c1a7] TiledIteration v0.2.4
[a759f4b9] TimerOutputs v0.5.6
[3bb67fe8] TranscodingStreams v0.9.5
[efce3f68] WoodburyMatrices v0.5.2
[83775a58] Zlib_jll v1.2.11+15
[2a0f44e3] Base64
[8bf52ea8] CRC32c
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[b77e0a4c] InteractiveUtils
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[44cfe95a] Pkg
[de0858da] Printf
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
[ Info: Running Unit tests
[ Info: Testing Basics
Conv: Error During Test at /home/pkgeval/.julia/packages/Photon/epVzB/test/conv.jl:131
Got exception outside of a @test
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] test_base_Conv2D() at /home/pkgeval/.julia/packages/Photon/epVzB/test/conv.jl:43
[18] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/conv.jl:132
[19] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[20] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/conv.jl:132
[21] include(::Function, ::Module, ::String) at ./Base.jl:380
[22] include at ./Base.jl:368 [inlined]
[23] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[24] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:13
[25] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[26] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[27] include(::String) at ./client.jl:457
[28] top-level scope at none:6
[29] eval(::Module, ::Any) at ./boot.jl:331
[30] exec_options(::Base.JLOptions) at ./client.jl:272
[31] _start() at ./client.jl:506
Recurrent: Error During Test at /home/pkgeval/.julia/packages/Photon/epVzB/test/recurrent.jl:95
Got exception outside of a @test
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] gethandle() at /home/pkgeval/.julia/packages/Knet/exwCE/src/rnn.jl:403
[14] build(::Photon.Recurrent, ::Tuple{Int64,Int64}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/recurrent.jl:45
[15] (::Photon.Recurrent)(::Knet.KnetArray{Float32,3}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:44
[16] basic_layer(::typeof(Photon.LSTM)) at /home/pkgeval/.julia/packages/Photon/epVzB/test/recurrent.jl:16
[17] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/recurrent.jl:96
[18] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[19] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/recurrent.jl:96
[20] include(::Function, ::Module, ::String) at ./Base.jl:380
[21] include at ./Base.jl:368 [inlined]
[22] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[23] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:14
[24] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[25] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[26] include(::String) at ./client.jl:457
[27] top-level scope at none:6
[28] eval(::Module, ::Any) at ./boot.jl:331
[29] exec_options(::Base.JLOptions) at ./client.jl:272
[30] _start() at ./client.jl:506
[ Info: Testing Large models
[ Info: Loaded AlexNet model
[ Info: Loaded DenseNet models
[ Info: Loaded VGG models
VGG: Error During Test at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:24
Got exception outside of a @test
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] (::Main.PhotonTest.ZooTests.Zoo.VGG)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/zoo/vgg.jl:36
[20] test_vgg() at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:20
[21] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:25
[22] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[23] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:25
[24] include(::Function, ::Module, ::String) at ./Base.jl:380
[25] include at ./Base.jl:368 [inlined]
[26] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[27] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:17
[28] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[29] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[30] include(::String) at ./client.jl:457
[31] top-level scope at none:6
[32] eval(::Module, ::Any) at ./boot.jl:331
[33] exec_options(::Base.JLOptions) at ./client.jl:272
[34] _start() at ./client.jl:506
AlexNet: Error During Test at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:36
Got exception outside of a @test
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] (::Main.PhotonTest.ZooTests.Zoo.AlexNet)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/zoo/alexnet.jl:29
[20] test_alexnet() at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:32
[21] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:37
[22] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[23] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:37
[24] include(::Function, ::Module, ::String) at ./Base.jl:380
[25] include at ./Base.jl:368 [inlined]
[26] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[27] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:17
[28] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[29] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[30] include(::String) at ./client.jl:457
[31] top-level scope at none:6
[32] eval(::Module, ::Any) at ./boot.jl:331
[33] exec_options(::Base.JLOptions) at ./client.jl:272
[34] _start() at ./client.jl:506
DenseNet: Error During Test at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:54
Got exception outside of a @test
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] (::Main.PhotonTest.ZooTests.Zoo.DenseNet)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/zoo/densenet.jl:96
[20] test_densenet() at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:44
[21] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:55
[22] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[23] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/modelzoo.jl:55
[24] include(::Function, ::Module, ::String) at ./Base.jl:380
[25] include at ./Base.jl:368 [inlined]
[26] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[27] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:17
[28] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[29] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[30] include(::String) at ./client.jl:457
[31] top-level scope at none:6
[32] eval(::Module, ::Any) at ./boot.jl:331
[33] exec_options(::Base.JLOptions) at ./client.jl:272
[34] _start() at ./client.jl:506
[ Info: Testing training of models
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] macro expansion at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:240 [inlined]
[20] (::Photon.var"#31#32"{Photon.Workout,Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[21] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[22] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[23] step!(::Photon.Workout, ::Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[24] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[25] train!(::Photon.Workout, ::Array{Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}},1}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.SilentMeter) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[26] test_train() at /home/pkgeval/.julia/packages/Photon/epVzB/test/training.jl:53
[27] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/training.jl:121
[28] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[29] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/training.jl:120
[30] include(::Function, ::Module, ::String) at ./Base.jl:380
[31] include at ./Base.jl:368 [inlined]
[32] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[33] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:20
[34] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[35] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[36] include(::String) at ./client.jl:457
[37] top-level scope at none:6
[38] eval(::Module, ::Any) at ./boot.jl:331
[39] exec_options(::Base.JLOptions) at ./client.jl:272
[40] _start() at ./client.jl:506
Training: Error During Test at /home/pkgeval/.julia/packages/Photon/epVzB/test/training.jl:119
Got exception outside of a @test
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:148
[2] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[3] step!(::Photon.Workout, ::Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[4] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[5] train!(::Photon.Workout, ::Array{Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}},1}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.SilentMeter) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[6] test_train() at /home/pkgeval/.julia/packages/Photon/epVzB/test/training.jl:53
[7] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/training.jl:121
[8] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[9] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/training.jl:120
[10] include(::Function, ::Module, ::String) at ./Base.jl:380
[11] include at ./Base.jl:368 [inlined]
[12] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[13] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:20
[14] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[15] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[16] include(::String) at ./client.jl:457
[17] top-level scope at none:6
[18] eval(::Module, ::Any) at ./boot.jl:331
[19] exec_options(::Base.JLOptions) at ./client.jl:272
[20] _start() at ./client.jl:506
caused by [exception 1]
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] macro expansion at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:240 [inlined]
[20] (::Photon.var"#31#32"{Photon.Workout,Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[21] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[22] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[23] step!(::Photon.Workout, ::Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[24] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[25] train!(::Photon.Workout, ::Array{Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}},1}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.SilentMeter) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[26] test_train() at /home/pkgeval/.julia/packages/Photon/epVzB/test/training.jl:53
[27] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/training.jl:121
[28] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[29] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/training.jl:120
[30] include(::Function, ::Module, ::String) at ./Base.jl:380
[31] include at ./Base.jl:368 [inlined]
[32] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[33] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:20
[34] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[35] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[36] include(::String) at ./client.jl:457
[37] top-level scope at none:6
[38] eval(::Module, ::Any) at ./boot.jl:331
[39] exec_options(::Base.JLOptions) at ./client.jl:272
[40] _start() at ./client.jl:506
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] macro expansion at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:240 [inlined]
[20] (::Photon.var"#31#32"{Photon.Workout,Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[21] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[22] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[23] step!(::Photon.Workout, ::Tuple{Array{Float32,4},Array{Float32,2}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[24] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[25] train!(::Photon.Workout, ::Base.Iterators.Zip{Tuple{Array{Array{Float32,4},1},Array{Array{Float32,2},1}}}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.SilentMeter) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[26] testOptim(::Knet.Adam) at /home/pkgeval/.julia/packages/Photon/epVzB/test/optimise.jl:24
[27] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/optimise.jl:29
[28] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[29] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/optimise.jl:29
[30] include(::Function, ::Module, ::String) at ./Base.jl:380
[31] include at ./Base.jl:368 [inlined]
[32] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[33] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:21
[34] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[35] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[36] include(::String) at ./client.jl:457
[37] top-level scope at none:6
[38] eval(::Module, ::Any) at ./boot.jl:331
[39] exec_options(::Base.JLOptions) at ./client.jl:272
[40] _start() at ./client.jl:506
Optim: Error During Test at /home/pkgeval/.julia/packages/Photon/epVzB/test/optimise.jl:28
Got exception outside of a @test
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:148
[2] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[3] step!(::Photon.Workout, ::Tuple{Array{Float32,4},Array{Float32,2}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[4] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[5] train!(::Photon.Workout, ::Base.Iterators.Zip{Tuple{Array{Array{Float32,4},1},Array{Array{Float32,2},1}}}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.SilentMeter) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[6] testOptim(::Knet.Adam) at /home/pkgeval/.julia/packages/Photon/epVzB/test/optimise.jl:24
[7] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/optimise.jl:29
[8] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[9] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/optimise.jl:29
[10] include(::Function, ::Module, ::String) at ./Base.jl:380
[11] include at ./Base.jl:368 [inlined]
[12] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[13] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:21
[14] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[15] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[16] include(::String) at ./client.jl:457
[17] top-level scope at none:6
[18] eval(::Module, ::Any) at ./boot.jl:331
[19] exec_options(::Base.JLOptions) at ./client.jl:272
[20] _start() at ./client.jl:506
caused by [exception 1]
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] macro expansion at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:240 [inlined]
[20] (::Photon.var"#31#32"{Photon.Workout,Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[21] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[22] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[23] step!(::Photon.Workout, ::Tuple{Array{Float32,4},Array{Float32,2}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[24] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[25] train!(::Photon.Workout, ::Base.Iterators.Zip{Tuple{Array{Array{Float32,4},1},Array{Array{Float32,2},1}}}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.SilentMeter) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[26] testOptim(::Knet.Adam) at /home/pkgeval/.julia/packages/Photon/epVzB/test/optimise.jl:24
[27] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/optimise.jl:29
[28] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[29] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/optimise.jl:29
[30] include(::Function, ::Module, ::String) at ./Base.jl:380
[31] include at ./Base.jl:368 [inlined]
[32] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[33] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:21
[34] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[35] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[36] include(::String) at ./client.jl:457
[37] top-level scope at none:6
[38] eval(::Module, ::Any) at ./boot.jl:331
[39] exec_options(::Base.JLOptions) at ./client.jl:272
[40] _start() at ./client.jl:506
[ Info: Testing metrics and meters
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] macro expansion at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:240 [inlined]
[20] (::Photon.var"#31#32"{Photon.Workout,Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[21] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[22] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[23] step!(::Photon.Workout, ::Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[24] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[25] train!(::Photon.Workout, ::Array{Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}},1}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.AutoSave) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[26] test_callbacks() at /home/pkgeval/.julia/packages/Photon/epVzB/test/metrics.jl:34
[27] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/metrics.jl:98
[28] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[29] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/metrics.jl:97
[30] include(::Function, ::Module, ::String) at ./Base.jl:380
[31] include at ./Base.jl:368 [inlined]
[32] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[33] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:25
[34] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[35] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[36] include(::String) at ./client.jl:457
[37] top-level scope at none:6
[38] eval(::Module, ::Any) at ./boot.jl:331
[39] exec_options(::Base.JLOptions) at ./client.jl:272
[40] _start() at ./client.jl:506
Metrics: Error During Test at /home/pkgeval/.julia/packages/Photon/epVzB/test/metrics.jl:96
Got exception outside of a @test
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:148
[2] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[3] step!(::Photon.Workout, ::Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[4] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[5] train!(::Photon.Workout, ::Array{Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}},1}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.AutoSave) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[6] test_callbacks() at /home/pkgeval/.julia/packages/Photon/epVzB/test/metrics.jl:34
[7] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/metrics.jl:98
[8] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[9] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/metrics.jl:97
[10] include(::Function, ::Module, ::String) at ./Base.jl:380
[11] include at ./Base.jl:368 [inlined]
[12] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[13] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:25
[14] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[15] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[16] include(::String) at ./client.jl:457
[17] top-level scope at none:6
[18] eval(::Module, ::Any) at ./boot.jl:331
[19] exec_options(::Base.JLOptions) at ./client.jl:272
[20] _start() at ./client.jl:506
caused by [exception 1]
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] macro expansion at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:240 [inlined]
[20] (::Photon.var"#31#32"{Photon.Workout,Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[21] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[22] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[23] step!(::Photon.Workout, ::Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[24] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[25] train!(::Photon.Workout, ::Array{Tuple{Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}},1}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.AutoSave) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[26] test_callbacks() at /home/pkgeval/.julia/packages/Photon/epVzB/test/metrics.jl:34
[27] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/metrics.jl:98
[28] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[29] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/metrics.jl:97
[30] include(::Function, ::Module, ::String) at ./Base.jl:380
[31] include at ./Base.jl:368 [inlined]
[32] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[33] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:25
[34] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[35] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[36] include(::String) at ./client.jl:457
[37] top-level scope at none:6
[38] eval(::Module, ::Any) at ./boot.jl:331
[39] exec_options(::Base.JLOptions) at ./client.jl:272
[40] _start() at ./client.jl:506
[ Info: Testing complex training scenarios
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] (::Main.PhotonTest.ComplexTests.MyModel)(::Base.Generator{Tuple{Array{Float32,2},Array{Float32,4}},Photon.SmartMover}) at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:24
[20] macro expansion at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:240 [inlined]
[21] (::Photon.var"#31#32"{Photon.Workout,Base.Generator{Tuple{Array{Float32,2},Array{Float32,4}},Photon.SmartMover},Base.Generator{Tuple{Array{Float32,2},Array{Float32,2}},Photon.SmartMover}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[22] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[23] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[24] step!(::Photon.Workout, ::Tuple{Tuple{Array{Float32,2},Array{Float32,4}},Tuple{Array{Float32,2},Array{Float32,2}}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[25] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[26] train!(::Photon.Workout, ::Base.Iterators.Zip{Tuple{Array{Tuple{Array{Float32,2},Array{Float32,4}},1},Array{Tuple{Array{Float32,2},Array{Float32,2}},1}}}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.SilentMeter) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[27] multi_input_output() at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:55
[28] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:63
[29] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[30] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:63
[31] include(::Function, ::Module, ::String) at ./Base.jl:380
[32] include at ./Base.jl:368 [inlined]
[33] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[34] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:28
[35] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[36] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[37] include(::String) at ./client.jl:457
[38] top-level scope at none:6
[39] eval(::Module, ::Any) at ./boot.jl:331
[40] exec_options(::Base.JLOptions) at ./client.jl:272
[41] _start() at ./client.jl:506
Complex: Error During Test at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:62
Got exception outside of a @test
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:148
[2] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[3] step!(::Photon.Workout, ::Tuple{Tuple{Array{Float32,2},Array{Float32,4}},Tuple{Array{Float32,2},Array{Float32,2}}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[4] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[5] train!(::Photon.Workout, ::Base.Iterators.Zip{Tuple{Array{Tuple{Array{Float32,2},Array{Float32,4}},1},Array{Tuple{Array{Float32,2},Array{Float32,2}},1}}}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.SilentMeter) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[6] multi_input_output() at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:55
[7] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:63
[8] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[9] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:63
[10] include(::Function, ::Module, ::String) at ./Base.jl:380
[11] include at ./Base.jl:368 [inlined]
[12] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[13] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:28
[14] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[15] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[16] include(::String) at ./client.jl:457
[17] top-level scope at none:6
[18] eval(::Module, ::Any) at ./boot.jl:331
[19] exec_options(::Base.JLOptions) at ./client.jl:272
[20] _start() at ./client.jl:506
caused by [exception 1]
AssertionError: This functionality is unavailabe as CUDNN is missing.
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] (::Main.PhotonTest.ComplexTests.MyModel)(::Base.Generator{Tuple{Array{Float32,2},Array{Float32,4}},Photon.SmartMover}) at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:24
[20] macro expansion at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:240 [inlined]
[21] (::Photon.var"#31#32"{Photon.Workout,Base.Generator{Tuple{Array{Float32,2},Array{Float32,4}},Photon.SmartMover},Base.Generator{Tuple{Array{Float32,2},Array{Float32,2}},Photon.SmartMover}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[22] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[23] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[24] step!(::Photon.Workout, ::Tuple{Tuple{Array{Float32,2},Array{Float32,4}},Tuple{Array{Float32,2},Array{Float32,2}}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[25] step! at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237 [inlined]
[26] train!(::Photon.Workout, ::Base.Iterators.Zip{Tuple{Array{Tuple{Array{Float32,2},Array{Float32,4}},1},Array{Tuple{Array{Float32,2},Array{Float32,2}},1}}}, ::Nothing; epochs::Int64, cb::Photon.Callbacks.SilentMeter) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[27] multi_input_output() at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:55
[28] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:63
[29] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[30] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/complex.jl:63
[31] include(::Function, ::Module, ::String) at ./Base.jl:380
[32] include at ./Base.jl:368 [inlined]
[33] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[34] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:28
[35] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[36] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[37] include(::String) at ./client.jl:457
[38] top-level scope at none:6
[39] eval(::Module, ::Any) at ./boot.jl:331
[40] exec_options(::Base.JLOptions) at ./client.jl:272
[41] _start() at ./client.jl:506
[ Info: Testing dataset and dataloader
Stacktrace:
[1] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:74 [inlined]
[2] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/initialization.jl:51 [inlined]
[3] libcudnn at /home/pkgeval/.julia/packages/CUDA/7vLVC/deps/bindeps.jl:73 [inlined]
[4] (::CUDA.CUDNN.var"#19219#cache_fptr!#9")() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:31
[5] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:39 [inlined]
[6] unsafe_cudnnCreate(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:39
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:6 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[9] cudnnCreate() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:3
[10] #516 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:44 [inlined]
[11] get!(::CUDA.CUDNN.var"#516#519"{CUDA.CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] forw(::Function, ::AutoGrad.Param{Knet.KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kwargs::Base.Iterators.Pairs{Symbol,Int64,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:padding, :stride, :dilation),Tuple{Int64,Int64,Int64}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:66
[14] #conv4#356 at ./none:0 [inlined]
[15] call(::Photon.Conv, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/conv.jl:63
[16] (::Photon.Conv)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:48
[17] call(::Photon.Sequential, ::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/container.jl:35
[18] (::Photon.Sequential)(::Knet.KnetArray{Float32,4}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/layers/core.jl:33
[19] macro expansion at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:240 [inlined]
[20] (::Photon.var"#31#32"{Photon.Workout,Knet.KnetArray{Float32,4},Knet.KnetArray{Float32,2}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[21] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[22] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[23] step!(::Photon.Workout, ::Tuple{Array{Float32,4},Array{Float32,2}}; zerograd::Bool) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:239
[24] step!(::Photon.Workout, ::Tuple{Array{Float32,4},Array{Float32,2}}) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:237
[25] train!(::Photon.Workout, ::Photon.Data.MiniBatch, ::Nothing; epochs::Int64, cb::Photon.Callbacks.SilentMeter) at /home/pkgeval/.julia/packages/Photon/epVzB/src/train.jl:307
[26] test_training() at /home/pkgeval/.julia/packages/Photon/epVzB/test/data.jl:90
[27] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/data.jl:158
[28] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[29] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/data.jl:153
[30] include(::Function, ::Module, ::String) at ./Base.jl:380
[31] include at ./Base.jl:368 [inlined]
[32] include(::String) at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:1
[33] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:31
[34] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[35] top-level scope at /home/pkgeval/.julia/packages/Photon/epVzB/test/runtests.jl:10
[36] include(::String) at ./client.jl:457