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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 CompilerSupportLibraries_jll ─ v0.3.3+0
Installed TranscodingStreams ─────────── v0.9.5
Installed SpecialFunctions ───────────── v0.10.3
Installed AbstractTrees ──────────────── v0.3.3
Installed OffsetArrays ───────────────── v1.1.2
Installed StatsBase ──────────────────── v0.33.0
Installed ForwardDiff ────────────────── v0.10.12
Installed Flux ───────────────────────── v0.11.1
Installed MuladdMacro ────────────────── v0.2.2
Installed CEnum ──────────────────────── v0.4.1
Installed SortingAlgorithms ──────────── v0.3.1
Installed SLEEFPirates ───────────────── v0.5.5
Installed GPUCompiler ────────────────── v0.5.5
Installed StaticArrays ───────────────── v0.12.4
Installed IRTools ────────────────────── v0.4.0
Installed DocStringExtensions ────────── v0.8.2
Installed DataStructures ─────────────── v0.17.20
Installed BinaryProvider ─────────────── v0.5.10
Installed UnPack ─────────────────────── v1.0.2
Installed OpenSpecFun_jll ────────────── v0.5.3+3
Installed MacroTools ─────────────────── v0.5.5
Installed ChainRules ─────────────────── v0.7.12
Installed Zlib_jll ───────────────────── v1.2.11+15
Installed ChainRulesCore ─────────────── v0.9.5
Installed SIMDPirates ────────────────── v0.8.24
Installed LLVM ───────────────────────── v2.0.0
Installed Requires ───────────────────── v1.0.1
Installed Reexport ───────────────────── v0.2.0
Installed ArrayLayouts ───────────────── v0.3.8
Installed CodecZlib ──────────────────── v0.7.0
Installed VectorizationBase ──────────── v0.12.32
Installed Missings ───────────────────── v0.4.3
Installed DiffResults ────────────────── v1.0.2
Installed FixedPointNumbers ──────────── v0.8.4
Installed CommonSubexpressions ───────── v0.3.0
Installed LoopVectorization ──────────── v0.8.24
Installed CUDA ───────────────────────── v1.2.1
Installed ZygoteRules ────────────────── v0.2.0
Installed NaNMath ────────────────────── v0.3.4
Installed TimerOutputs ───────────────── v0.5.6
Installed FillArrays ─────────────────── v0.8.14
Installed ZipFile ────────────────────── v0.9.2
Installed DiffRules ──────────────────── v1.0.1
Installed NNlib ──────────────────────── v0.7.4
Installed GPUArrays ──────────────────── v5.0.0
Installed OrderedCollections ─────────── v1.3.0
Installed Adapt ──────────────────────── v2.0.2
Installed Juno ───────────────────────── v0.8.3
Installed CpuId ──────────────────────── v0.2.2
Installed AbstractFFTs ───────────────── v0.5.0
Installed DataAPI ────────────────────── v1.3.0
Installed Zygote ─────────────────────── v0.5.4
Installed Media ──────────────────────── v0.5.0
Installed ColorTypes ─────────────────── v0.10.8
Installed Functors ───────────────────── v0.1.0
Installed ExprTools ──────────────────── v0.1.1
Installed Colors ─────────────────────── v0.12.3
Updating `~/.julia/environments/v1.5/Project.toml`
[587475ba] + Flux v0.11.1
Updating `~/.julia/environments/v1.5/Manifest.toml`
[621f4979] + AbstractFFTs v0.5.0
[1520ce14] + AbstractTrees v0.3.3
[79e6a3ab] + Adapt v2.0.2
[4c555306] + ArrayLayouts v0.3.8
[b99e7846] + BinaryProvider v0.5.10
[fa961155] + CEnum v0.4.1
[052768ef] + CUDA v1.2.1
[082447d4] + ChainRules v0.7.12
[d360d2e6] + ChainRulesCore v0.9.5
[944b1d66] + CodecZlib v0.7.0
[3da002f7] + ColorTypes v0.10.8
[5ae59095] + Colors v0.12.3
[bbf7d656] + CommonSubexpressions v0.3.0
[e66e0078] + CompilerSupportLibraries_jll v0.3.3+0
[adafc99b] + CpuId v0.2.2
[9a962f9c] + DataAPI v1.3.0
[864edb3b] + DataStructures v0.17.20
[163ba53b] + DiffResults v1.0.2
[b552c78f] + DiffRules v1.0.1
[ffbed154] + DocStringExtensions v0.8.2
[e2ba6199] + ExprTools v0.1.1
[1a297f60] + FillArrays v0.8.14
[53c48c17] + FixedPointNumbers v0.8.4
[587475ba] + Flux v0.11.1
[f6369f11] + ForwardDiff v0.10.12
[d9f16b24] + Functors v0.1.0
[0c68f7d7] + GPUArrays v5.0.0
[61eb1bfa] + GPUCompiler v0.5.5
[7869d1d1] + IRTools v0.4.0
[e5e0dc1b] + Juno v0.8.3
[929cbde3] + LLVM v2.0.0
[bdcacae8] + LoopVectorization v0.8.24
[1914dd2f] + MacroTools v0.5.5
[e89f7d12] + Media v0.5.0
[e1d29d7a] + Missings v0.4.3
[46d2c3a1] + MuladdMacro 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
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v1.0.1
[21efa798] + SIMDPirates v0.8.24
[476501e8] + SLEEFPirates v0.5.5
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.10.3
[90137ffa] + StaticArrays v0.12.4
[2913bbd2] + StatsBase v0.33.0
[a759f4b9] + TimerOutputs v0.5.6
[3bb67fe8] + TranscodingStreams v0.9.5
[3a884ed6] + UnPack v1.0.2
[3d5dd08c] + VectorizationBase v0.12.32
[a5390f91] + ZipFile v0.9.2
[83775a58] + Zlib_jll v1.2.11+15
[e88e6eb3] + Zygote v0.5.4
[700de1a5] + ZygoteRules v0.2.0
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[9fa8497b] + Future
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[9abbd945] + Profile
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building SLEEFPirates → `~/.julia/packages/SLEEFPirates/jGsib/deps/build.log`
Testing Flux
Status `/tmp/jl_zV4461/Project.toml`
[1520ce14] AbstractTrees v0.3.3
[79e6a3ab] Adapt v2.0.2
[052768ef] CUDA v1.2.1
[944b1d66] CodecZlib v0.7.0
[5ae59095] Colors v0.12.3
[e30172f5] Documenter v0.25.1
[587475ba] Flux v0.11.1
[d9f16b24] Functors v0.1.0
[c8e1da08] IterTools v1.3.0
[e5e0dc1b] Juno v0.8.3
[1914dd2f] MacroTools v0.5.5
[872c559c] NNlib v0.7.4
[189a3867] Reexport v0.2.0
[2913bbd2] StatsBase v0.33.0
[a5390f91] ZipFile v0.9.2
[e88e6eb3] Zygote v0.5.4
[8bb1440f] DelimitedFiles
[37e2e46d] LinearAlgebra
[44cfe95a] Pkg
[de0858da] Printf
[9a3f8284] Random
[ea8e919c] SHA
[10745b16] Statistics
[8dfed614] Test
Status `/tmp/jl_zV4461/Manifest.toml`
[621f4979] AbstractFFTs v0.5.0
[1520ce14] AbstractTrees v0.3.3
[79e6a3ab] Adapt v2.0.2
[4c555306] ArrayLayouts v0.3.8
[b99e7846] BinaryProvider v0.5.10
[fa961155] CEnum v0.4.1
[052768ef] CUDA v1.2.1
[082447d4] ChainRules v0.7.12
[d360d2e6] ChainRulesCore v0.9.5
[944b1d66] CodecZlib v0.7.0
[3da002f7] ColorTypes v0.10.8
[5ae59095] Colors v0.12.3
[bbf7d656] CommonSubexpressions v0.3.0
[e66e0078] CompilerSupportLibraries_jll v0.3.3+0
[adafc99b] CpuId v0.2.2
[9a962f9c] DataAPI v1.3.0
[864edb3b] DataStructures v0.17.20
[163ba53b] DiffResults v1.0.2
[b552c78f] DiffRules v1.0.1
[ffbed154] DocStringExtensions v0.8.2
[e30172f5] Documenter v0.25.1
[e2ba6199] ExprTools v0.1.1
[1a297f60] FillArrays v0.8.14
[53c48c17] FixedPointNumbers v0.8.4
[587475ba] Flux v0.11.1
[f6369f11] ForwardDiff v0.10.12
[d9f16b24] Functors v0.1.0
[0c68f7d7] GPUArrays v5.0.0
[61eb1bfa] GPUCompiler v0.5.5
[7869d1d1] IRTools v0.4.0
[c8e1da08] IterTools v1.3.0
[682c06a0] JSON v0.21.0
[e5e0dc1b] Juno v0.8.3
[929cbde3] LLVM v2.0.0
[bdcacae8] LoopVectorization v0.8.24
[1914dd2f] MacroTools v0.5.5
[e89f7d12] Media v0.5.0
[e1d29d7a] Missings v0.4.3
[46d2c3a1] MuladdMacro 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
[69de0a69] Parsers v1.0.10
[189a3867] Reexport v0.2.0
[ae029012] Requires v1.0.1
[21efa798] SIMDPirates v0.8.24
[476501e8] SLEEFPirates v0.5.5
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.10.3
[90137ffa] StaticArrays v0.12.4
[2913bbd2] StatsBase v0.33.0
[a759f4b9] TimerOutputs v0.5.6
[3bb67fe8] TranscodingStreams v0.9.5
[3a884ed6] UnPack v1.0.2
[3d5dd08c] VectorizationBase v0.12.32
[a5390f91] ZipFile v0.9.2
[83775a58] Zlib_jll v1.2.11+15
[e88e6eb3] Zygote v0.5.4
[700de1a5] ZygoteRules v0.2.0
[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[9fa8497b] Future
[b77e0a4c] InteractiveUtils
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[44cfe95a] Pkg
[de0858da] Printf
[9abbd945] Profile
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
┌ Warning: CUDA.jl found cuda, but did not find libcudnn. Some functionality will not be available.
└ @ Flux ~/.julia/packages/Flux/05b38/src/Flux.jl:56
Test Summary: | Pass Total
Utils | 60 60
Test Summary: | Pass Total
Onehot | 9 9
Test Summary: | Pass Total
Optimise | 24 24
[ Info: Downloading CMUDict dataset
[ Info: Downloading MNIST dataset
[ Info: Downloading MNIST dataset
[ Info: Downloading MNIST dataset
[ Info: Downloading MNIST dataset
[ Info: Downloading Fashion-MNIST dataset
[ Info: Downloading Fashion-MNIST dataset
[ Info: Downloading Fashion-MNIST dataset
[ Info: Downloading Fashion-MNIST dataset
[ Info: Downloading sentiment treebank dataset
[ Info: Downloading iris dataset.
[ Info: Downloading the Boston housing Dataset
Test Summary: | Pass Total
Data | 53 53
Test Summary: | Pass Total
Losses | 88 88
┌ Warning: Slow fallback implementation invoked for conv! You probably don't want this; check your datatypes.
│ yT = Float64
│ T1 = Float32
│ T2 = Float64
└ @ NNlib ~/.julia/packages/NNlib/PI8Xh/src/conv.jl:206
┌ Warning: Slow fallback implementation invoked for conv! You probably don't want this; check your datatypes.
│ yT = Float64
│ T1 = Float32
│ T2 = Float64
└ @ NNlib ~/.julia/packages/NNlib/PI8Xh/src/conv.jl:206
┌ Warning: Slow fallback implementation invoked for conv! You probably don't want this; check your datatypes.
│ yT = Float64
│ T1 = Float32
│ T2 = Float64
└ @ NNlib ~/.julia/packages/NNlib/PI8Xh/src/conv.jl:206
┌ Warning: Slow fallback implementation invoked for conv! You probably don't want this; check your datatypes.
│ yT = Float64
│ T1 = Float32
│ T2 = Float64
└ @ NNlib ~/.julia/packages/NNlib/PI8Xh/src/conv.jl:206
┌ Warning: Slow fallback implementation invoked for conv! You probably don't want this; check your datatypes.
│ yT = Float64
│ T1 = Float32
│ T2 = Float64
└ @ NNlib ~/.julia/packages/NNlib/PI8Xh/src/conv.jl:206
Test Summary: | Pass Total
Layers | 218 218
[ Info: Testing GPU Support
CUDA: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/cuda.jl:7
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
[4] (::CUDA.CUDNN.var"#19207#cache_fptr!#6")() 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] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:32 [inlined]
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/error.jl:28 [inlined]
[9] cudnnGetProperty(::CUDA.libraryPropertyType, ::Base.RefValue{Int32}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:93
[10] cudnnGetProperty(::CUDA.libraryPropertyType) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:16
[11] version() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:20
[12] conv!(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),3,4,(1, 1),(0, 0, 0, 0),(1, 1),false}; alpha::Int64, algo::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:56
[13] conv! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:56 [inlined]
[14] conv(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),3,4,(1, 1),(0, 0, 0, 0),(1, 1),false}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:91
[15] conv(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),3,4,(1, 1),(0, 0, 0, 0),(1, 1),false}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:89
[16] (::Conv{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}})(::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:147
[17] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/cuda.jl:31
[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/Flux/05b38/test/cuda/cuda.jl:8
[20] include(::String) at ./client.jl:457
[21] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/runtests.jl:6
[22] include(::String) at ./client.jl:457
[23] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:38
[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/Flux/05b38/test/runtests.jl:37
[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
Conv GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33
Test threw exception
Expression: gradient((()->begin
sum(l(xs))
end), ps) isa Flux.Zygote.Grads
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
[4] (::CUDA.CUDNN.var"#19207#cache_fptr!#6")() 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] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:32 [inlined]
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/error.jl:28 [inlined]
[9] cudnnGetProperty(::CUDA.libraryPropertyType, ::Base.RefValue{Int32}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:93
[10] cudnnGetProperty(::CUDA.libraryPropertyType) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:16
[11] version() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:20
[12] conv!(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),false}; alpha::Int64, algo::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:56
[13] conv! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:56 [inlined]
[14] conv(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),false}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:91
[15] conv(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),false}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:89
[16] #adjoint#1238 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:38 [inlined]
[17] adjoint at ./none:0 [inlined]
[18] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[19] Conv at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:147 [inlined]
[20] _pullback(::Zygote.Context, ::Conv{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[21] #134 at ./none:0 [inlined]
[22] _pullback(::Zygote.Context, ::var"#134#138"{Conv{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[23] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[24] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[25] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33 [inlined]
[26] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[27] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[28] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[29] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
Conv GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:25
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
[4] (::CUDA.CUDNN.var"#19207#cache_fptr!#6")() 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] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:32 [inlined]
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/error.jl:28 [inlined]
[9] cudnnGetProperty(::CUDA.libraryPropertyType, ::Base.RefValue{Int32}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:93
[10] cudnnGetProperty(::CUDA.libraryPropertyType) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:16
[11] version() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:20
[12] conv!(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),false}; alpha::Int64, algo::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:56
[13] conv! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:56 [inlined]
[14] conv(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),false}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:91
[15] conv(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),false}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:89
[16] #adjoint#1238 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:38 [inlined]
[17] adjoint at ./none:0 [inlined]
[18] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[19] Conv at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:147 [inlined]
[20] _pullback(::Zygote.Context, ::Conv{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[21] #135 at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[22] _pullback(::Zygote.Context, ::var"#135#139"{Conv{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[23] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[24] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[25] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[26] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[27] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[28] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[29] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
[30] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:50
[31] include(::String) at ./client.jl:457
[32] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/runtests.jl:8
[33] include(::String) at ./client.jl:457
[34] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:38
[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/Flux/05b38/test/runtests.jl:37
[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
ConvTranspose GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33
Test threw exception
Expression: gradient((()->begin
sum(l(xs))
end), ps) isa Flux.Zygote.Grads
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
[4] (::CUDA.CUDNN.var"#19207#cache_fptr!#6")() 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] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:32 [inlined]
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/error.jl:28 [inlined]
[9] cudnnGetProperty(::CUDA.libraryPropertyType, ::Base.RefValue{Int32}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:93
[10] cudnnGetProperty(::CUDA.libraryPropertyType) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:16
[11] version() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:20
[12] ∇conv_data!(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),3,1,(1, 1),(0, 0, 0, 0),(1, 1),false}; alpha::Int64, algo::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:75
[13] ∇conv_data! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:75 [inlined]
[14] #∇conv_data#43 at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:103 [inlined]
[15] ∇conv_data(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),3,1,(1, 1),(0, 0, 0, 0),(1, 1),false}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:101
[16] #adjoint#1243 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:49 [inlined]
[17] adjoint at ./none:0 [inlined]
[18] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[19] ConvTranspose at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:273 [inlined]
[20] _pullback(::Zygote.Context, ::ConvTranspose{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[21] #134 at ./none:0 [inlined]
[22] _pullback(::Zygote.Context, ::var"#134#138"{ConvTranspose{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[23] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[24] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[25] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33 [inlined]
[26] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[27] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[28] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[29] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
ConvTranspose GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:25
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
[4] (::CUDA.CUDNN.var"#19207#cache_fptr!#6")() 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] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:32 [inlined]
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/error.jl:28 [inlined]
[9] cudnnGetProperty(::CUDA.libraryPropertyType, ::Base.RefValue{Int32}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:93
[10] cudnnGetProperty(::CUDA.libraryPropertyType) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:16
[11] version() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:20
[12] ∇conv_data!(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),3,1,(1, 1),(0, 0, 0, 0),(1, 1),false}; alpha::Int64, algo::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:75
[13] ∇conv_data! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:75 [inlined]
[14] #∇conv_data#43 at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:103 [inlined]
[15] ∇conv_data(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),3,1,(1, 1),(0, 0, 0, 0),(1, 1),false}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:101
[16] #adjoint#1243 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:49 [inlined]
[17] adjoint at ./none:0 [inlined]
[18] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[19] ConvTranspose at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:273 [inlined]
[20] _pullback(::Zygote.Context, ::ConvTranspose{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[21] #135 at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[22] _pullback(::Zygote.Context, ::var"#135#139"{ConvTranspose{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[23] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[24] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[25] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[26] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[27] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[28] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[29] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
[30] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:50
[31] include(::String) at ./client.jl:457
[32] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/runtests.jl:8
[33] include(::String) at ./client.jl:457
[34] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:38
[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/Flux/05b38/test/runtests.jl:37
[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
CrossCor GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33
Test threw exception
Expression: gradient((()->begin
sum(l(xs))
end), ps) isa Flux.Zygote.Grads
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
[4] (::CUDA.CUDNN.var"#19207#cache_fptr!#6")() 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] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:32 [inlined]
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/error.jl:28 [inlined]
[9] cudnnGetProperty(::CUDA.libraryPropertyType, ::Base.RefValue{Int32}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:93
[10] cudnnGetProperty(::CUDA.libraryPropertyType) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:16
[11] version() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:20
[12] conv!(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),true}; alpha::Int64, algo::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:56
[13] conv! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:56 [inlined]
[14] conv(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),true}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:91
[15] conv(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),true}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:89
[16] #adjoint#1238 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:38 [inlined]
[17] adjoint at ./none:0 [inlined]
[18] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[19] crosscor at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:496 [inlined]
[20] _pullback(::Zygote.Context, ::typeof(Flux.crosscor), ::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),false}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[21] CrossCor at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:504 [inlined]
[22] _pullback(::Zygote.Context, ::CrossCor{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[23] #134 at ./none:0 [inlined]
[24] _pullback(::Zygote.Context, ::var"#134#138"{CrossCor{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[25] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[26] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[27] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33 [inlined]
[28] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[29] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[30] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[31] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
CrossCor GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:25
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
[4] (::CUDA.CUDNN.var"#19207#cache_fptr!#6")() 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] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:32 [inlined]
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/error.jl:28 [inlined]
[9] cudnnGetProperty(::CUDA.libraryPropertyType, ::Base.RefValue{Int32}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:93
[10] cudnnGetProperty(::CUDA.libraryPropertyType) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:16
[11] version() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/base.jl:20
[12] conv!(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),true}; alpha::Int64, algo::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:56
[13] conv! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:56 [inlined]
[14] conv(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),true}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:91
[15] conv(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),true}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/conv.jl:89
[16] #adjoint#1238 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:38 [inlined]
[17] adjoint at ./none:0 [inlined]
[18] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[19] crosscor at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:496 [inlined]
[20] _pullback(::Zygote.Context, ::typeof(Flux.crosscor), ::CuArray{Float32,4}, ::CuArray{Float32,4}, ::DenseConvDims{2,(2, 2),1,3,(1, 1),(0, 0, 0, 0),(1, 1),false}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[21] CrossCor at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:504 [inlined]
[22] _pullback(::Zygote.Context, ::CrossCor{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[23] #135 at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[24] _pullback(::Zygote.Context, ::var"#135#139"{CrossCor{2,4,typeof(identity),CuArray{Float32,4},CuArray{Float32,1}}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[25] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[26] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[27] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[28] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[29] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[30] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[31] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
[32] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:50
[33] include(::String) at ./client.jl:457
[34] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/runtests.jl:8
[35] include(::String) at ./client.jl:457
[36] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:38
[37] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[38] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:37
[39] include(::String) at ./client.jl:457
[40] top-level scope at none:6
[41] eval(::Module, ::Any) at ./boot.jl:331
[42] exec_options(::Base.JLOptions) at ./client.jl:272
[43] _start() at ./client.jl:506
MaxPool GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33
Test threw exception
Expression: gradient((()->begin
sum(l(xs))
end), ps) isa Flux.Zygote.Grads
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"{CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] cudnnPoolingForward(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}; alpha::Int64, mode::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/pooling.jl:38
[14] maxpool! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:86 [inlined]
[15] maxpool(::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:115
[16] maxpool(::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:113
[17] #adjoint#1258 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:83 [inlined]
[18] adjoint at ./none:0 [inlined]
[19] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[20] MaxPool at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:643 [inlined]
[21] _pullback(::Zygote.Context, ::MaxPool{2,4}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[22] #134 at ./none:0 [inlined]
[23] _pullback(::Zygote.Context, ::var"#134#138"{MaxPool{2,4}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[24] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[25] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[26] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33 [inlined]
[27] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[28] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[29] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[30] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
MaxPool GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:25
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"{CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] cudnnPoolingForward(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}; alpha::Int64, mode::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/pooling.jl:38
[14] maxpool! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:86 [inlined]
[15] maxpool(::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:115
[16] maxpool(::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:113
[17] #adjoint#1258 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:83 [inlined]
[18] adjoint at ./none:0 [inlined]
[19] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[20] MaxPool at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:643 [inlined]
[21] _pullback(::Zygote.Context, ::MaxPool{2,4}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[22] #135 at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[23] _pullback(::Zygote.Context, ::var"#135#139"{MaxPool{2,4}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[24] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[25] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[26] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[27] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[28] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[29] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[30] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
[31] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:53
[32] include(::String) at ./client.jl:457
[33] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/runtests.jl:8
[34] include(::String) at ./client.jl:457
[35] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:38
[36] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[37] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:37
[38] include(::String) at ./client.jl:457
[39] top-level scope at none:6
[40] eval(::Module, ::Any) at ./boot.jl:331
[41] exec_options(::Base.JLOptions) at ./client.jl:272
[42] _start() at ./client.jl:506
MeanPool GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33
Test threw exception
Expression: gradient((()->begin
sum(l(xs))
end), ps) isa Flux.Zygote.Grads
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"{CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] cudnnPoolingForward(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}; alpha::Int64, mode::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/pooling.jl:38
[14] meanpool! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:93 [inlined]
[15] meanpool(::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:115
[16] meanpool(::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:113
[17] #adjoint#1263 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:88 [inlined]
[18] adjoint at ./none:0 [inlined]
[19] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[20] MeanPool at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:673 [inlined]
[21] _pullback(::Zygote.Context, ::MeanPool{2,4}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[22] #134 at ./none:0 [inlined]
[23] _pullback(::Zygote.Context, ::var"#134#138"{MeanPool{2,4}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[24] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[25] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[26] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33 [inlined]
[27] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[28] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[29] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[30] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
MeanPool GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:25
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"{CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] cudnnPoolingForward(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}; alpha::Int64, mode::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/pooling.jl:38
[14] meanpool! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:93 [inlined]
[15] meanpool(::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:115
[16] meanpool(::CuArray{Float32,4}, ::PoolDims{2,(2, 2),(2, 2),(0, 0, 0, 0),(1, 1)}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:113
[17] #adjoint#1263 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:88 [inlined]
[18] adjoint at ./none:0 [inlined]
[19] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[20] MeanPool at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:673 [inlined]
[21] _pullback(::Zygote.Context, ::MeanPool{2,4}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[22] #135 at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[23] _pullback(::Zygote.Context, ::var"#135#139"{MeanPool{2,4}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[24] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[25] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[26] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[27] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[28] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[29] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[30] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
[31] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:53
[32] include(::String) at ./client.jl:457
[33] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/runtests.jl:8
[34] include(::String) at ./client.jl:457
[35] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:38
[36] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[37] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:37
[38] include(::String) at ./client.jl:457
[39] top-level scope at none:6
[40] eval(::Module, ::Any) at ./boot.jl:331
[41] exec_options(::Base.JLOptions) at ./client.jl:272
[42] _start() at ./client.jl:506
AdaptiveMaxPool GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33
Test threw exception
Expression: gradient((()->begin
sum(l(xs))
end), ps) isa Flux.Zygote.Grads
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"{CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] cudnnPoolingForward(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}; alpha::Int64, mode::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/pooling.jl:38
[14] maxpool! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:86 [inlined]
[15] maxpool(::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:115
[16] maxpool(::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:113
[17] #adjoint#1258 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:83 [inlined]
[18] adjoint at ./none:0 [inlined]
[19] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[20] AdaptiveMaxPool at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:540 [inlined]
[21] _pullback(::Zygote.Context, ::AdaptiveMaxPool{4,2}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[22] #134 at ./none:0 [inlined]
[23] _pullback(::Zygote.Context, ::var"#134#138"{AdaptiveMaxPool{4,2}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[24] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[25] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[26] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33 [inlined]
[27] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[28] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[29] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[30] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
AdaptiveMaxPool GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:25
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"{CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] cudnnPoolingForward(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}; alpha::Int64, mode::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/pooling.jl:38
[14] maxpool! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:86 [inlined]
[15] maxpool(::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:115
[16] maxpool(::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:113
[17] #adjoint#1258 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:83 [inlined]
[18] adjoint at ./none:0 [inlined]
[19] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[20] AdaptiveMaxPool at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:540 [inlined]
[21] _pullback(::Zygote.Context, ::AdaptiveMaxPool{4,2}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[22] #135 at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[23] _pullback(::Zygote.Context, ::var"#135#139"{AdaptiveMaxPool{4,2}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[24] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[25] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[26] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[27] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[28] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[29] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[30] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
[31] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:56
[32] include(::String) at ./client.jl:457
[33] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/runtests.jl:8
[34] include(::String) at ./client.jl:457
[35] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:38
[36] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[37] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:37
[38] include(::String) at ./client.jl:457
[39] top-level scope at none:6
[40] eval(::Module, ::Any) at ./boot.jl:331
[41] exec_options(::Base.JLOptions) at ./client.jl:272
[42] _start() at ./client.jl:506
AdaptiveMeanPool GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33
Test threw exception
Expression: gradient((()->begin
sum(l(xs))
end), ps) isa Flux.Zygote.Grads
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"{CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] cudnnPoolingForward(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}; alpha::Int64, mode::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/pooling.jl:38
[14] meanpool! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:93 [inlined]
[15] meanpool(::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:115
[16] meanpool(::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:113
[17] #adjoint#1263 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:88 [inlined]
[18] adjoint at ./none:0 [inlined]
[19] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[20] AdaptiveMeanPool at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:564 [inlined]
[21] _pullback(::Zygote.Context, ::AdaptiveMeanPool{4,2}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[22] #134 at ./none:0 [inlined]
[23] _pullback(::Zygote.Context, ::var"#134#138"{AdaptiveMeanPool{4,2}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[24] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[25] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[26] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33 [inlined]
[27] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[28] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[29] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[30] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
AdaptiveMeanPool GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:25
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"{CuContext}, ::IdDict{Any,Any}, ::Any) at ./iddict.jl:152
[12] handle() at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/CUDNN.jl:43
[13] cudnnPoolingForward(::CuArray{Float32,4}, ::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}; alpha::Int64, mode::Int64) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/pooling.jl:38
[14] meanpool! at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/nnlib.jl:93 [inlined]
[15] meanpool(::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:115
[16] meanpool(::CuArray{Float32,4}, ::PoolDims{2,(4, 4),(4, 4),(0, 0, 0, 0),(1, 1)}) at /home/pkgeval/.julia/packages/NNlib/PI8Xh/src/pooling.jl:113
[17] #adjoint#1263 at /home/pkgeval/.julia/packages/Zygote/seGHk/src/lib/nnlib.jl:88 [inlined]
[18] adjoint at ./none:0 [inlined]
[19] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:47 [inlined]
[20] AdaptiveMeanPool at /home/pkgeval/.julia/packages/Flux/05b38/src/layers/conv.jl:564 [inlined]
[21] _pullback(::Zygote.Context, ::AdaptiveMeanPool{4,2}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[22] #135 at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[23] _pullback(::Zygote.Context, ::var"#135#139"{AdaptiveMeanPool{4,2}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[24] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[25] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[26] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:34 [inlined]
[27] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[28] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[29] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[30] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Tuple{Int64,Int64}, ::Vararg{Any,N} where N) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
[31] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:56
[32] include(::String) at ./client.jl:457
[33] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/runtests.jl:8
[34] include(::String) at ./client.jl:457
[35] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:38
[36] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
[37] top-level scope at /home/pkgeval/.julia/packages/Flux/05b38/test/runtests.jl:37
[38] include(::String) at ./client.jl:457
[39] top-level scope at none:6
[40] eval(::Module, ::Any) at ./boot.jl:331
[41] exec_options(::Base.JLOptions) at ./client.jl:272
[42] _start() at ./client.jl:506
BatchNorm GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33
Test threw exception
Expression: gradient((()->begin
sum(l(xs))
end), ps) isa Flux.Zygote.Grads
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"#19252#cache_fptr!#16")() 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] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:67 [inlined]
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/error.jl:28 [inlined]
[9] cudnnCreateTensorDescriptor(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:93
[10] CUDA.CUDNN.TensorDesc(::Type{T} where T, ::NTuple{4,Int64}, ::NTuple{4,Int64}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/tensor.jl:15
[11] TensorDesc at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/tensor.jl:22 [inlined]
[12] cudnnBNForward!(::CuArray{Float32,4}, ::CuArray{Float32,1}, ::CuArray{Float32,1}, ::CuArray{Float32,4}, ::CuArray{Float32,1}, ::CuArray{Float32,1}, ::Float32; cache::Nothing, alpha::Int64, beta::Int64, eps::Float32, training::Bool) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/batchnorm.jl:41
[13] #batchnorm#478 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/batchnorm.jl:26 [inlined]
[14] #adjoint#17 at /home/pkgeval/.julia/packages/Flux/05b38/src/cuda/cudnn.jl:6 [inlined]
[15] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/6nssF/src/adjoint.jl:53 [inlined]
[16] BatchNorm at /home/pkgeval/.julia/packages/Flux/05b38/src/cuda/cudnn.jl:3 [inlined] (repeats 2 times)
[17] _pullback(::Zygote.Context, ::BatchNorm{typeof(identity),CuArray{Float32,1},CuArray{Float32,1},Float32}, ::CuArray{Float32,4}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[18] #134 at ./none:0 [inlined]
[19] _pullback(::Zygote.Context, ::var"#134#138"{BatchNorm{typeof(identity),CuArray{Float32,1},CuArray{Float32,1},Float32}}) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface2.jl:0
[20] pullback(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:172
[21] gradient(::Function, ::Params) at /home/pkgeval/.julia/packages/Zygote/seGHk/src/compiler/interface.jl:53
[22] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:33 [inlined]
[23] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[24] macro expansion at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:26 [inlined]
[25] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[26] gradtest(::String, ::Array{UnionAll,1}, ::Array{Float32,4}, ::Int64) at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:24
BatchNorm GPU grad test: Error During Test at /home/pkgeval/.julia/packages/Flux/05b38/test/cuda/layers.jl:25
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"#19252#cache_fptr!#16")() 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] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/libcudnn.jl:67 [inlined]
[7] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/src/pool.jl:338 [inlined]
[8] macro expansion at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/error.jl:28 [inlined]
[9] cudnnCreateTensorDescriptor(::Base.RefValue{Ptr{Nothing}}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/utils/call.jl:93
[10] CUDA.CUDNN.TensorDesc(::Type{T} where T, ::NTuple{4,Int64}, ::NTuple{4,Int64}) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/tensor.jl:15
[11] TensorDesc at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/tensor.jl:22 [inlined]
[12] cudnnBNForward!(::CuArray{Float32,4}, ::CuArray{Float32,1}, ::CuArray{Float32,1}, ::CuArray{Float32,4}, ::CuArray{Float32,1}, ::CuArray{Float32,1}, ::Float32; cache::Nothing, alpha::Int64, beta::Int64, eps::Float32, training::Bool) at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/batchnorm.jl:41
[13] #batchnorm#478 at /home/pkgeval/.julia/packages/CUDA/7vLVC/lib/cudnn/batchnorm.jl:26 [inlined]