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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 Taarruz ────────────────────── v0.1.0
Installed FFTW_jll ───────────────────── v3.3.9+5
Installed CompilerSupportLibraries_jll ─ v0.3.3+0
Installed TranscodingStreams ─────────── v0.9.5
Installed SpecialFunctions ───────────── v0.10.3
Installed OffsetArrays ───────────────── v1.1.2
Installed StatsBase ──────────────────── v0.33.0
Installed ImageCore ──────────────────── v0.8.14
Installed ImageMorphology ────────────── v0.2.8
Installed ImageTransformations ───────── v0.8.5
Installed CEnum ──────────────────────── v0.4.1
Installed StaticArrays ───────────────── v0.12.4
Installed GPUCompiler ────────────────── v0.5.5
Installed ImageDistances ─────────────── v0.2.7
Installed FileIO ─────────────────────── v1.4.1
Installed DataStructures ─────────────── v0.17.20
Installed CatIndices ─────────────────── v0.2.1
Installed SortingAlgorithms ──────────── v0.3.1
Installed IntelOpenMP_jll ────────────── v2018.0.3+0
Installed UnPack ─────────────────────── v1.0.2
Installed MosaicViews ────────────────── v0.2.2
Installed BinaryProvider ─────────────── v0.5.10
Installed ImageAxes ──────────────────── v0.6.4
Installed ImageFiltering ─────────────── v0.6.14
Installed MacroTools ─────────────────── v0.5.5
Installed Zlib_jll ───────────────────── v1.2.11+15
Installed OpenSpecFun_jll ────────────── v0.5.3+3
Installed Requires ───────────────────── v1.0.1
Installed Images ─────────────────────── v0.22.4
Installed ImageMetadata ──────────────── v0.9.1
Installed Reexport ───────────────────── v0.2.0
Installed LLVM ───────────────────────── v2.0.0
Installed Graphics ───────────────────── v1.0.2
Installed ImageQualityIndexes ────────── v0.1.4
Installed Interpolations ─────────────── v0.12.10
Installed IterTools ──────────────────── v1.3.0
Installed CodecZlib ──────────────────── v0.7.0
Installed CUDA ───────────────────────── v1.2.1
Installed FFTW ───────────────────────── v1.2.2
Installed EllipsisNotation ───────────── v0.4.0
Installed Distances ──────────────────── v0.8.2
Installed MappedArrays ───────────────── v0.2.2
Installed Missings ───────────────────── v0.4.3
Installed FixedPointNumbers ──────────── v0.8.4
Installed TimerOutputs ───────────────── v0.5.6
Installed GPUArrays ──────────────────── v5.0.0
Installed IndirectArrays ─────────────── v0.5.1
Installed Ratios ─────────────────────── v0.4.0
Installed ImageShow ──────────────────── v0.2.3
Installed NaNMath ────────────────────── v0.3.4
Installed NNlib ──────────────────────── v0.7.4
Installed IdentityRanges ─────────────── v0.3.1
Installed ColorVectorSpace ───────────── v0.8.5
Installed AxisAlgorithms ─────────────── v1.0.0
Installed Rotations ──────────────────── v1.0.1
Installed CoordinateTransformations ──── v0.6.0
Installed WoodburyMatrices ───────────── v0.5.2
Installed OrderedCollections ─────────── v1.3.0
Installed FFTViews ───────────────────── v0.3.1
Installed JLD2 ───────────────────────── v0.1.14
Installed PaddedViews ────────────────── v0.5.5
Installed IntervalSets ───────────────── v0.5.1
Installed RangeArrays ────────────────── v0.3.2
Installed CustomUnitRanges ───────────── v1.0.0
Installed AxisArrays ─────────────────── v0.4.3
Installed AbstractFFTs ───────────────── v0.5.0
Installed SimpleTraits ───────────────── v0.9.2
Installed Adapt ──────────────────────── v2.0.2
Installed AutoGrad ───────────────────── v1.2.3
Installed Knet ───────────────────────── v1.3.9
Installed ComputationalResources ─────── v0.3.2
Installed ColorTypes ─────────────────── v0.10.8
Installed TiledIteration ─────────────── v0.2.4
Installed MKL_jll ────────────────────── v2020.2.254+0
Installed DataAPI ────────────────────── v1.3.0
Installed Parameters ─────────────────── v0.12.1
Installed ExprTools ──────────────────── v0.1.1
Installed Colors ─────────────────────── v0.12.3
Installed ImageContrastAdjustment ────── v0.3.5
Updating `~/.julia/environments/v1.5/Project.toml`
[edc76f5a] + Taarruz v0.1.0
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 v0.4.3
[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 v0.10.8
[c3611d14] + ColorVectorSpace v0.8.5
[5ae59095] + Colors v0.12.3
[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 v0.8.4
[0c68f7d7] + GPUArrays v5.0.0
[61eb1bfa] + GPUCompiler v0.5.5
[a2bd30eb] + Graphics v1.0.2
[bbac6d45] + IdentityRanges v0.3.1
[2803e5a7] + ImageAxes v0.6.4
[f332f351] + ImageContrastAdjustment v0.3.5
[a09fc81d] + ImageCore v0.8.14
[51556ac3] + ImageDistances v0.2.7
[6a3955dd] + ImageFiltering v0.6.14
[bc367c6b] + ImageMetadata v0.9.1
[787d08f9] + ImageMorphology v0.2.8
[2996bd0c] + ImageQualityIndexes v0.1.4
[4e3cecfd] + ImageShow v0.2.3
[02fcd773] + ImageTransformations v0.8.5
[916415d5] + Images v0.22.4
[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 v1.1.2
[efe28fd5] + OpenSpecFun_jll v0.5.3+3
[bac558e1] + OrderedCollections v1.3.0
[5432bcbf] + PaddedViews v0.5.5
[d96e819e] + Parameters v0.12.1
[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 v0.10.3
[90137ffa] + StaticArrays v0.12.4
[2913bbd2] + StatsBase v0.33.0
[edc76f5a] + Taarruz v0.1.0
[06e1c1a7] + TiledIteration v0.2.4
[a759f4b9] + TimerOutputs v0.5.6
[3bb67fe8] + TranscodingStreams v0.9.5
[3a884ed6] + UnPack v1.0.2
[efce3f68] + WoodburyMatrices v0.5.2
[83775a58] + Zlib_jll v1.2.11+15
[2a0f44e3] + Base64
[ade2ca70] + Dates
[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`
Testing Taarruz
Status `/tmp/jl_1tDvjh/Project.toml`
[6710c13c] AutoGrad v1.2.3
[944b1d66] CodecZlib v0.7.0
[916415d5] Images v0.22.4
[1902f260] Knet v1.3.9
[edc76f5a] Taarruz v0.1.0
[44cfe95a] Pkg
[8dfed614] Test
Status `/tmp/jl_1tDvjh/Manifest.toml`
[621f4979] AbstractFFTs v0.5.0
[79e6a3ab] Adapt v2.0.2
[6710c13c] AutoGrad v1.2.3
[13072b0f] AxisAlgorithms v1.0.0
[39de3d68] AxisArrays v0.4.3
[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 v0.10.8
[c3611d14] ColorVectorSpace v0.8.5
[5ae59095] Colors v0.12.3
[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 v0.8.4
[0c68f7d7] GPUArrays v5.0.0
[61eb1bfa] GPUCompiler v0.5.5
[a2bd30eb] Graphics v1.0.2
[bbac6d45] IdentityRanges v0.3.1
[2803e5a7] ImageAxes v0.6.4
[f332f351] ImageContrastAdjustment v0.3.5
[a09fc81d] ImageCore v0.8.14
[51556ac3] ImageDistances v0.2.7
[6a3955dd] ImageFiltering v0.6.14
[bc367c6b] ImageMetadata v0.9.1
[787d08f9] ImageMorphology v0.2.8
[2996bd0c] ImageQualityIndexes v0.1.4
[4e3cecfd] ImageShow v0.2.3
[02fcd773] ImageTransformations v0.8.5
[916415d5] Images v0.22.4
[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 v1.1.2
[efe28fd5] OpenSpecFun_jll v0.5.3+3
[bac558e1] OrderedCollections v1.3.0
[5432bcbf] PaddedViews v0.5.5
[d96e819e] Parameters v0.12.1
[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 v0.10.3
[90137ffa] StaticArrays v0.12.4
[2913bbd2] StatsBase v0.33.0
[edc76f5a] Taarruz v0.1.0
[06e1c1a7] TiledIteration v0.2.4
[a759f4b9] TimerOutputs v0.5.6
[3bb67fe8] TranscodingStreams v0.9.5
[3a884ed6] UnPack v1.0.2
[efce3f68] WoodburyMatrices v0.5.2
[83775a58] Zlib_jll v1.2.11+15
[2a0f44e3] Base64
[ade2ca70] Dates
[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: Loading MNIST...
Test Summary: | Pass Total
mnist | 5 5
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] generic_softmax(::AutoGrad.Result{KnetArray{Float32,2}}, ::Int64, ::Function; dims::Int64) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:138
[14] #logp#784 at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:14 [inlined]
[15] nll(::AutoGrad.Result{KnetArray{Float32,2}}, ::Array{UInt8,1}; dims::Int64, average::Bool) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:305
[16] nll(::AutoGrad.Result{KnetArray{Float32,2}}, ::Array{UInt8,1}) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:304
[17] (::Taarruz.Chain)(::Param{KnetArray{Float32,4}}, ::Array{UInt8,1}) at /home/pkgeval/.julia/packages/Taarruz/TOgh9/src/lenet.jl:18
[18] gcsum(::Taarruz.Chain, ::Param{KnetArray{Float32,4}}, ::Vararg{Any,N} where N; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/test/gradcheck.jl:50
[19] gcsum at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/test/gradcheck.jl:50 [inlined]
[20] (::AutoGrad.var"#220#225"{Tuple{},Taarruz.Chain,Tuple{Param{KnetArray{Float32,4}},Array{UInt8,1}}})() 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] gcheck(::Taarruz.Chain, ::Param{KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kw::Tuple{}, nsample::Int64, verbose::Int64, rtol::Float64, atol::Float64, delta::Float64) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/test/gradcheck.jl:158
[24] top-level scope at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:24
[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/Taarruz/TOgh9/test/runtests.jl:21
[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
linear: Error During Test at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:24
Test threw exception
Expression: gcheck(linear, x, y; atol = 0.05)
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] gcheck(::Taarruz.Chain, ::Param{KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kw::Tuple{}, nsample::Int64, verbose::Int64, rtol::Float64, atol::Float64, delta::Float64) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/test/gradcheck.jl:158
[4] top-level scope at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:24
[5] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[6] top-level scope at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:21
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] generic_softmax(::AutoGrad.Result{KnetArray{Float32,2}}, ::Int64, ::Function; dims::Int64) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:138
[14] #logp#784 at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:14 [inlined]
[15] nll(::AutoGrad.Result{KnetArray{Float32,2}}, ::Array{UInt8,1}; dims::Int64, average::Bool) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:305
[16] nll(::AutoGrad.Result{KnetArray{Float32,2}}, ::Array{UInt8,1}) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:304
[17] (::Taarruz.Chain)(::Param{KnetArray{Float32,4}}, ::Array{UInt8,1}) at /home/pkgeval/.julia/packages/Taarruz/TOgh9/src/lenet.jl:18
[18] gcsum(::Taarruz.Chain, ::Param{KnetArray{Float32,4}}, ::Vararg{Any,N} where N; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/test/gradcheck.jl:50
[19] gcsum at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/test/gradcheck.jl:50 [inlined]
[20] (::AutoGrad.var"#220#225"{Tuple{},Taarruz.Chain,Tuple{Param{KnetArray{Float32,4}},Array{UInt8,1}}})() 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] gcheck(::Taarruz.Chain, ::Param{KnetArray{Float32,4}}, ::Vararg{Any,N} where N; kw::Tuple{}, nsample::Int64, verbose::Int64, rtol::Float64, atol::Float64, delta::Float64) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/test/gradcheck.jl:158
[24] top-level scope at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:24
[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/Taarruz/TOgh9/test/runtests.jl:21
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] generic_softmax(::AutoGrad.Result{KnetArray{Float32,2}}, ::Int64, ::Function; dims::Int64) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:138
[14] #logp#784 at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:14 [inlined]
[15] nll(::AutoGrad.Result{KnetArray{Float32,2}}, ::Array{UInt8,1}; dims::Int64, average::Bool) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:305
[16] nll(::AutoGrad.Result{KnetArray{Float32,2}}, ::Array{UInt8,1}) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:304
[17] (::Taarruz.Chain)(::KnetArray{Float32,4}, ::Array{UInt8,1}) at /home/pkgeval/.julia/packages/Taarruz/TOgh9/src/lenet.jl:18
[18] (::Knet.var"#772#773"{Knet.Minimize{Knet.Data{Tuple{KnetArray{Float32,4},Array{UInt8,1}}}},Tuple{KnetArray{Float32,4},Array{UInt8,1}}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[19] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[20] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[21] iterate at /home/pkgeval/.julia/packages/Knet/exwCE/src/train.jl:23 [inlined]
[22] iterate at /home/pkgeval/.julia/packages/Knet/exwCE/src/progress.jl:70 [inlined]
[23] progress!(::Knet.Minimize{Knet.Data{Tuple{KnetArray{Float32,4},Array{UInt8,1}}}}; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/Knet/exwCE/src/progress.jl:58
[24] progress!(::Knet.Minimize{Knet.Data{Tuple{KnetArray{Float32,4},Array{UInt8,1}}}}) at /home/pkgeval/.julia/packages/Knet/exwCE/src/progress.jl:58
[25] top-level scope at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:28
[26] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[27] top-level scope at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:21
[28] include(::String) at ./client.jl:457
[29] top-level scope at none:6
[30] eval(::Module, ::Any) at ./boot.jl:331
[31] exec_options(::Base.JLOptions) at ./client.jl:272
[32] _start() at ./client.jl:506
linear: Error During Test at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:20
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] iterate at /home/pkgeval/.julia/packages/Knet/exwCE/src/train.jl:23 [inlined]
[4] iterate at /home/pkgeval/.julia/packages/Knet/exwCE/src/progress.jl:70 [inlined]
[5] progress!(::Knet.Minimize{Knet.Data{Tuple{KnetArray{Float32,4},Array{UInt8,1}}}}; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/Knet/exwCE/src/progress.jl:58
[6] progress!(::Knet.Minimize{Knet.Data{Tuple{KnetArray{Float32,4},Array{UInt8,1}}}}) at /home/pkgeval/.julia/packages/Knet/exwCE/src/progress.jl:58
[7] top-level scope at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:28
[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/Taarruz/TOgh9/test/runtests.jl:21
[10] include(::String) at ./client.jl:457
[11] top-level scope at none:6
[12] eval(::Module, ::Any) at ./boot.jl:331
[13] exec_options(::Base.JLOptions) at ./client.jl:272
[14] _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] generic_softmax(::AutoGrad.Result{KnetArray{Float32,2}}, ::Int64, ::Function; dims::Int64) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:138
[14] #logp#784 at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:14 [inlined]
[15] nll(::AutoGrad.Result{KnetArray{Float32,2}}, ::Array{UInt8,1}; dims::Int64, average::Bool) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:305
[16] nll(::AutoGrad.Result{KnetArray{Float32,2}}, ::Array{UInt8,1}) at /home/pkgeval/.julia/packages/Knet/exwCE/src/loss.jl:304
[17] (::Taarruz.Chain)(::KnetArray{Float32,4}, ::Array{UInt8,1}) at /home/pkgeval/.julia/packages/Taarruz/TOgh9/src/lenet.jl:18
[18] (::Knet.var"#772#773"{Knet.Minimize{Knet.Data{Tuple{KnetArray{Float32,4},Array{UInt8,1}}}},Tuple{KnetArray{Float32,4},Array{UInt8,1}}})() at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:205
[19] differentiate(::Function; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:144
[20] differentiate at /home/pkgeval/.julia/packages/AutoGrad/VFrAv/src/core.jl:135 [inlined]
[21] iterate at /home/pkgeval/.julia/packages/Knet/exwCE/src/train.jl:23 [inlined]
[22] iterate at /home/pkgeval/.julia/packages/Knet/exwCE/src/progress.jl:70 [inlined]
[23] progress!(::Knet.Minimize{Knet.Data{Tuple{KnetArray{Float32,4},Array{UInt8,1}}}}; o::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/Knet/exwCE/src/progress.jl:58
[24] progress!(::Knet.Minimize{Knet.Data{Tuple{KnetArray{Float32,4},Array{UInt8,1}}}}) at /home/pkgeval/.julia/packages/Knet/exwCE/src/progress.jl:58
[25] top-level scope at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:28
[26] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[27] top-level scope at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:21
[28] include(::String) at ./client.jl:457
[29] top-level scope at none:6
[30] eval(::Module, ::Any) at ./boot.jl:331
[31] exec_options(::Base.JLOptions) at ./client.jl:272
[32] _start() at ./client.jl:506
Test Summary: | Pass Error Total
linear | 3 2 5
ERROR: LoadError: Some tests did not pass: 3 passed, 0 failed, 2 errored, 0 broken.
in expression starting at /home/pkgeval/.julia/packages/Taarruz/TOgh9/test/runtests.jl:20
ERROR: Package Taarruz errored during testing
Stacktrace:
[1] pkgerror(::String) at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Pkg/src/Types.jl:52
[2] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing) at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Pkg/src/Operations.jl:1566
[3] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:328
[4] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:315
[5] #test#61 at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:67 [inlined]
[6] test at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:67 [inlined]
[7] #test#60 at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:66 [inlined]
[8] test at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:66 [inlined]
[9] test(::String; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:65
[10] test(::String) at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:65
[11] top-level scope at none:16