Package evaluation to test Tsunami on Julia 1.13.0-alpha2.30 (5abf758bb1*) started at 2026-01-09T11:49:49.139 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.8s ################################################################################ # Installation # Installing Tsunami... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [36e41bbe] + Tsunami v0.3.1 Updating `~/.julia/environments/v1.13/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [a9b6321e] + Atomix v1.1.2 [ab4f0b2a] + BFloat16s v0.6.0 [fbb218c0] + BSON v0.3.9 [198e06fe] + BangBang v0.4.6 [9718e550] + Baselet v0.1.1 [e1450e63] + BufferedStreams v1.2.2 [fa961155] + CEnum v0.5.0 [082447d4] + ChainRules v1.72.6 [d360d2e6] + ChainRulesCore v1.26.0 [0b6fb165] + ChunkCodecCore v1.0.1 [4c0bbee4] + ChunkCodecLibZlib v1.0.0 [55437552] + ChunkCodecLibZstd v1.0.0 [3da002f7] + ColorTypes v0.12.1 [c3611d14] + ColorVectorSpace v0.11.0 [5ae59095] + Colors v0.13.1 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [6add18c4] + ContextVariablesX v0.1.3 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [f151be2c] + EnzymeCore v0.8.18 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.1 [1a297f60] + FillArrays v1.15.0 [53c48c17] + FixedPointNumbers v0.8.5 [587475ba] + Flux v0.16.7 [f6369f11] + ForwardDiff v1.3.1 [d9f16b24] + Functors v0.5.2 [0c68f7d7] + GPUArrays v11.3.3 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [7869d1d1] + IRTools v0.4.15 [a09fc81d] + ImageCore v0.10.5 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.6.3 [692b3bcd] + JLLWrappers v1.7.1 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.39 [929cbde3] + LLVM v9.4.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 [7e8f7934] + MLDataDevices v1.17.0 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.3 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [e94cdb99] + MosaicViews v0.3.4 [872c559c] + NNlib v0.9.32 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [6fe1bfb0] + OffsetArrays v1.17.0 [0b1bfda6] + OneHotArrays v0.2.10 [3bd65402] + Optimisers v0.4.7 [bac558e1] + OrderedCollections v1.8.1 [5432bcbf] + PaddedViews v0.5.12 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [8162dcfd] + PrettyPrint v0.2.0 [33c8b6b6] + ProgressLogging v0.1.6 [3349acd9] + ProtoBuf v1.2.0 [43287f4e] + PtrArrays v1.3.0 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [431bcebd] + SciMLPublic v1.0.1 [7e506255] + ScopedValues v1.5.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.6.1 [171d559e] + SplittablesBase v0.1.15 [cae243ae] + StackViews v0.1.2 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.9 [09ab397b] + StructArrays v0.7.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [899adc3e] + TensorBoardLogger v0.1.26 [62fd8b95] + TensorCore v0.1.1 [28d57a85] + Transducers v0.4.85 [36e41bbe] + Tsunami v0.3.1 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 [e88e6eb3] + Zygote v0.7.10 [700de1a5] + ZygoteRules v0.2.7 [dad2f222] + LLVMExtra_jll v0.0.38+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [8bf52ea8] + CRC32c v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.46.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.67.1+0 [3f19e933] + p7zip_jll v17.7.0+0 Installation completed after 6.68s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/iseFl/src/julia-1.13/activate_set.jl:78 Precompiling package dependencies... Precompilation completed after 587.66s ################################################################################ # Testing # Testing Tsunami Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_J9mPCz/Project.toml` [a93c6f00] + DataFrames v1.8.1 [7da242da] + Enzyme v0.13.114 [eb30cadb] + MLDatasets v0.7.20 [d7d3b36b] + ParameterSchedulers v0.4.3 [f8b46487] + TestItemRunner v1.1.4 [1c621080] + TestItems v1.0.0 Updating `/tmp/jl_J9mPCz/Manifest.toml` [4c555306] + ArrayLayouts v1.12.2 [a963bdd2] + AtomsBase v0.5.2 ⌅ [ab4f0b2a] ↓ BFloat16s v0.6.0 ⇒ v0.5.1 [d1d4a3ce] + BitFlags v0.1.9 [336ed68f] + CSV v0.10.15 [46823bd8] + Chemfiles v0.10.43 [944b1d66] + CodecZlib v0.7.8 [35d6a980] + ColorSchemes v3.31.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [124859b0] + DataDeps v0.7.13 [a93c6f00] + DataFrames v1.8.1 ⌅ [864edb3b] ↓ DataStructures v0.19.3 ⇒ v0.18.22 [7da242da] + Enzyme v0.13.114 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [48062228] + FilePathsBase v0.9.24 [61eb1bfa] + GPUCompiler v1.7.5 [92fee26a] + GZip v0.6.2 [c27321d9] + Glob v1.4.0 [f67ccb44] + HDF5 v0.17.2 [cd3eb016] + HTTP v1.10.19 [c817782e] + ImageBase v0.1.7 [4e3cecfd] + ImageShow v0.3.8 ⌅ [4858937d] + InfiniteArrays v0.14.4 [e1ba4f0e] + Infinities v0.1.12 [842dd82b] + InlineStrings v1.4.5 [7d512f48] + InternedStrings v0.7.0 [41ab1584] + InvertedIndices v1.3.1 [0f8b85d8] + JSON3 v1.14.3 [b964fa9f] + LaTeXStrings v1.4.0 [5078a376] + LazyArrays v2.9.4 [8cdb02fc] + LazyModules v0.3.1 [e6f89c97] + LoggingExtras v1.2.0 [23992714] + MAT v0.11.4 [eb30cadb] + MLDatasets v0.7.20 [3da0fdf6] + MPIPreferences v0.1.11 [739be429] + MbedTLS v1.1.9 [15e1cf62] + NPZ v0.4.3 [d8793406] + ObjectFile v0.5.0 [4d8831e6] + OpenSSL v1.6.1 [65ce6f38] + PackageExtensionCompat v1.0.2 [d7d3b36b] + ParameterSchedulers v0.4.3 [69de0a69] + Parsers v2.8.3 [7b2266bf] + PeriodicTable v1.2.1 [fbb45041] + Pickle v0.3.6 [2dfb63ee] + PooledArrays v1.4.3 [08abe8d2] + PrettyTables v3.1.2 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.9 [777ac1f9] + SimpleBufferStream v1.2.0 [4db3bf67] + StridedViews v0.4.1 [69024149] + StringEncodings v0.3.7 [892a3eda] + StringManipulation v0.4.2 [53d494c1] + StructIO v0.3.1 [856f2bd8] + StructTypes v1.11.0 [f8b46487] + TestItemRunner v1.1.4 [1c621080] + TestItems v1.0.0 [e689c965] + Tracy v0.1.6 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [1986cc42] + Unitful v1.27.0 [a7773ee8] + UnitfulAtomic v1.0.0 [ea10d353] + WeakRefStrings v1.4.2 [76eceee3] + WorkerUtilities v1.6.1 [a5390f91] + ZipFile v0.10.1 [78a364fa] + Chemfiles_jll v0.10.4+0 [7cc45869] + Enzyme_jll v0.0.235+0 ⌅ [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.2+0 [ad6e5548] + LibTracyClient_jll v0.13.1+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [7cb0a576] + MPICH_jll v4.3.2+0 [f1f71cc9] + MPItrampoline_jll v5.5.4+0 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.9+0 ⌅ [02c8fc9c] + XML2_jll v2.13.9+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.18.1+0 [477f73a3] + libaec_jll v1.1.4+0 [3fa0cd96] + REPL v1.11.0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_J9mPCz/Project.toml` [a93c6f00] DataFrames v1.8.1 [7da242da] Enzyme v0.13.114 [587475ba] Flux v0.16.7 [d9f16b24] Functors v0.5.2 [7e8f7934] MLDataDevices v1.17.0 [eb30cadb] MLDatasets v0.7.20 [f1d291b0] MLUtils v0.4.8 [3bd65402] Optimisers v0.4.7 [d7d3b36b] ParameterSchedulers v0.4.3 [189a3867] Reexport v1.2.2 [10745b16] Statistics v1.11.1 [f8b46487] TestItemRunner v1.1.4 [1c621080] TestItems v1.0.0 [36e41bbe] Tsunami v0.3.1 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_J9mPCz/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [4c555306] ArrayLayouts v1.12.2 [a9b6321e] Atomix v1.1.2 [a963bdd2] AtomsBase v0.5.2 ⌅ [ab4f0b2a] BFloat16s v0.5.1 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [d1d4a3ce] BitFlags v0.1.9 [e1450e63] BufferedStreams v1.2.2 [fa961155] CEnum v0.5.0 [336ed68f] CSV v0.10.15 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [46823bd8] Chemfiles v0.10.43 [0b6fb165] ChunkCodecCore v1.0.1 [4c0bbee4] ChunkCodecLibZlib v1.0.0 [55437552] ChunkCodecLibZstd v1.0.0 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [f0e56b4a] ConcurrentUtilities v2.5.0 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [124859b0] DataDeps v0.7.13 [a93c6f00] DataFrames v1.8.1 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [7da242da] Enzyme v0.13.114 [f151be2c] EnzymeCore v0.8.18 [460bff9d] ExceptionUnwrapping v0.1.11 [e2ba6199] ExprTools v0.1.10 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.1 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.15.0 [53c48c17] FixedPointNumbers v0.8.5 [587475ba] Flux v0.16.7 [f6369f11] ForwardDiff v1.3.1 [d9f16b24] Functors v0.5.2 [0c68f7d7] GPUArrays v11.3.3 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.7.5 [92fee26a] GZip v0.6.2 [c27321d9] Glob v1.4.0 [f67ccb44] HDF5 v0.17.2 [cd3eb016] HTTP v1.10.19 [076d061b] HashArrayMappedTries v0.2.0 [7869d1d1] IRTools v0.4.15 [c817782e] ImageBase v0.1.7 [a09fc81d] ImageCore v0.10.5 [4e3cecfd] ImageShow v0.3.8 ⌅ [4858937d] InfiniteArrays v0.14.4 [e1ba4f0e] Infinities v0.1.12 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [7d512f48] InternedStrings v0.7.0 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 [033835bb] JLD2 v0.6.3 [692b3bcd] JLLWrappers v1.7.1 [0f8b85d8] JSON3 v1.14.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.39 [929cbde3] LLVM v9.4.4 [b964fa9f] LaTeXStrings v1.4.0 [5078a376] LazyArrays v2.9.4 [8cdb02fc] LazyModules v0.3.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [23992714] MAT v0.11.4 [c2834f40] MLCore v1.0.0 [7e8f7934] MLDataDevices v1.17.0 [eb30cadb] MLDatasets v0.7.20 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.3 [739be429] MbedTLS v1.1.9 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [e94cdb99] MosaicViews v0.3.4 [872c559c] NNlib v0.9.32 [15e1cf62] NPZ v0.4.3 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [d8793406] ObjectFile v0.5.0 [6fe1bfb0] OffsetArrays v1.17.0 [0b1bfda6] OneHotArrays v0.2.10 [4d8831e6] OpenSSL v1.6.1 [3bd65402] Optimisers v0.4.7 [bac558e1] OrderedCollections v1.8.1 [65ce6f38] PackageExtensionCompat v1.0.2 [5432bcbf] PaddedViews v0.5.12 [d7d3b36b] ParameterSchedulers v0.4.3 [69de0a69] Parsers v2.8.3 [7b2266bf] PeriodicTable v1.2.1 [fbb45041] Pickle v0.3.6 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v3.1.2 [33c8b6b6] ProgressLogging v0.1.6 [3349acd9] ProtoBuf v1.2.0 [43287f4e] PtrArrays v1.3.0 [c1ae055f] RealDot v0.1.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [431bcebd] SciMLPublic v1.0.1 [7e506255] ScopedValues v1.5.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.9 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [777ac1f9] SimpleBufferStream v1.2.0 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [cae243ae] StackViews v0.1.2 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.9 [4db3bf67] StridedViews v0.4.1 [69024149] StringEncodings v0.3.7 [892a3eda] StringManipulation v0.4.2 [09ab397b] StructArrays v0.7.2 [53d494c1] StructIO v0.3.1 [856f2bd8] StructTypes v1.11.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [899adc3e] TensorBoardLogger v0.1.26 [62fd8b95] TensorCore v0.1.1 [f8b46487] TestItemRunner v1.1.4 [1c621080] TestItems v1.0.0 [e689c965] Tracy v0.1.6 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [36e41bbe] Tsunami v0.3.1 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [1986cc42] Unitful v1.27.0 [a7773ee8] UnitfulAtomic v1.0.0 [013be700] UnsafeAtomics v0.3.0 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [a5390f91] ZipFile v0.10.1 [e88e6eb3] Zygote v0.7.10 [700de1a5] ZygoteRules v0.2.7 [78a364fa] Chemfiles_jll v0.10.4+0 [7cc45869] Enzyme_jll v0.0.235+0 ⌅ 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marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ┌ Warning: The call to compilecache failed to create a usable precompiled cache file for Tsunami [36e41bbe-399b-4a86-8623-faa02b4c2ac8] │ exception = Required dependency Base.PkgId(Base.UUID("dc90abb0-5640-4711-901d-7e5b23a2fada"), "SparseInverseSubset") failed to load from a cache file. └ @ Base loading.jl:2789 ┌ Warning: The call to compilecache failed to create a usable precompiled cache file for Flux [587475ba-b771-5e3f-ad9e-33799f191a9c] │ exception = Required dependency Base.PkgId(Base.UUID("dc90abb0-5640-4711-901d-7e5b23a2fada"), "SparseInverseSubset") failed to load from a cache file. └ @ Base loading.jl:2789 ┌ Warning: The call to compilecache failed to create a usable precompiled cache file for Zygote [e88e6eb3-aa80-5325-afca-941959d7151f] │ exception = Required dependency Base.PkgId(Base.UUID("dc90abb0-5640-4711-901d-7e5b23a2fada"), "SparseInverseSubset") failed to load from a cache file. └ @ Base loading.jl:2789 ┌ Warning: No functional GPU backend found! Defaulting to CPU. │ │ 1. If no GPU is available, nothing needs to be done. Set `MLDATADEVICES_SILENCE_WARN_NO_GPU=1` to silence this warning. │ 2. If GPU is available, load the corresponding trigger package. │ a. `CUDA.jl` and `cuDNN.jl` (or just `LuxCUDA.jl`) for NVIDIA CUDA Support. │ b. `AMDGPU.jl` for AMD GPU ROCM Support. │ c. `Metal.jl` for Apple Metal GPU Support. (Experimental) │ d. `oneAPI.jl` for Intel oneAPI GPU Support. (Experimental) │ e. `OpenCL.jl` for OpenCL support. (Experimental) └ @ MLDataDevices.Internal ~/.julia/packages/MLDataDevices/LSj9R/src/internal.jl:114 [ Info: GPUs available: false, used: false [ Info: Model Summary: LinearModel() # 1_000 parameters, plus 1_000 non-trainable [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters BatchNorm(3), # 6 parameters, plus 6 Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 6 trainable arrays, 29 parameters, # plus 2 non-trainable, 6 parameters, summarysize 596 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 Train Epoch 1: 100%|██████████████████████| Time: 0:00:00 ( 0.72 ms/it) Train Epoch 2: 100%|██████████████████████| Time: 0:00:00 ( 0.86 ms/it) [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_2 Train Epoch 1: 100%|██████████████████████| Time: 0:00:00 ( 0.67 ms/it) Train Epoch 2: 100%|██████████████████████| Time: 0:00:00 ( 0.51 ms/it) [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 Testing: 67%|██████████████████▋ | ETA: 0:00:00 (73.51 ms/it) a: 1.0 b: 1.5     Testing: 100%|████████████████████████████| Time: 0:00:00 (49.29 ms/it) a: 1.0 b: 2.0 Validation: 100%|█████████████████████████| Time: 0:00:00 (53.64 μs/it) a: 1.0 b: 2.0 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 Train Epoch 1: 50%|███████████ | ETA: 0:00:22 (22.27 s/it) Train Epoch 1: 100%|██████████████████████| Time: 0:00:22 (11.43 s/it) Train Epoch 2: 100%|██████████████████████| Time: 0:00:00 ( 0.92 ms/it) [ Info: GPUs available: false, used: false [ Info: Model Summary: TBLoggingModule( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), true, true, true, true, ) # Total: 4 arrays, 23 parameters, 316 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_2 Train Epoch 1: 50%|███████████ | ETA: 0:00:05 ( 5.86 s/it) train/batch_idx_step: 1 train/loss_step: 2.21     Train Epoch 1: 100%|██████████████████████| Time: 0:00:05 ( 2.98 s/it) train/batch_idx_step: 2 train/loss_step: 2.01   Train Epoch 2: 100%|██████████████████████| Time: 0:00:00 ( 0.67 ms/it) train/batch_idx_step: 2 train/loss_step: 1.99   Train Epoch 3: 100%|██████████████████████| Time: 0:00:00 ( 0.94 ms/it) train/batch_idx_step: 2 train/loss_step: 1.96   Train Epoch 4: 100%|██████████████████████| Time: 0:00:00 ( 1.01 ms/it) train/batch_idx_step: 2 train/loss_step: 1.93 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_3 Test Summary: | Pass Total Time Package | 67 67 18m58.4s ┌ Warning: The call to compilecache failed to create a usable precompiled cache file for MLDatasets [eb30cadb-4394-5ae3-aed4-317e484a6458] │ exception = Required dependency Base.PkgId(Base.UUID("124859b0-ceae-595e-8997-d05f6a7a8dfe"), "DataDeps") failed to load from a cache file. └ @ Base loading.jl:2789 [ Info: GPUs available: false, used: false [ Info: Model Summary: MLP( Chain( MLUtils.flatten, Dense(784 => 1024, relu), # 803_840 parameters Dense(1024 => 10), # 10_250 parameters ), ) # Total: 4 arrays, 814_090 parameters, 3.106 MiB. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_3 [ Info: GPUs available: false, used: false [ Info: Model Summary: MLP( Chain( MLUtils.flatten, Dense(784 => 1024, relu), # 803_840 parameters Dense(1024 => 10), # 10_250 parameters ), ) # Total: 4 arrays, 814_090 parameters, 3.106 MiB. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/examples/MLP_MNIST/tsunami_logs/run_1 Val Epoch 0: 2%|▌ | ETA: 0:00:05 ( 0.12 s/it) accuracy/val: 0.0859 loss/val: 2.31     Val Epoch 0: 4%|█ | ETA: 0:00:26 ( 0.58 s/it) accuracy/val: 0.0898 loss/val: 2.34     Val Epoch 0: 43%|██████████▎ | ETA: 0:00:01 (63.44 ms/it) accuracy/val: 0.102 loss/val: 2.35     Val Epoch 0: 81%|███████████████████▍ | ETA: 0:00:00 (36.28 ms/it) accuracy/val: 0.104 loss/val: 2.35     Val Epoch 0: 100%|████████████████████████| Time: 0:00:01 (30.54 ms/it) accuracy/val: 0.108 loss/val: 2.35   Train Epoch 1: 0%| | ETA: 1:26:04 (12.27 s/it) accuracy/train: 0.148 loss/train: 2.36     Train Epoch 1: 1%|▎ | ETA: 0:17:11 ( 2.47 s/it) accuracy/train: 0.617 loss/train: 1.97     Train Epoch 1: 2%|▌ | ETA: 0:09:32 ( 1.39 s/it) accuracy/train: 0.656 loss/train: 1.05     Train Epoch 1: 3%|▋ | ETA: 0:06:35 ( 0.97 s/it) accuracy/train: 0.836 loss/train: 0.451     Train Epoch 1: 4%|▉ | ETA: 0:05:02 ( 0.75 s/it) accuracy/train: 0.844 loss/train: 0.526     Train Epoch 1: 5%|█▏ | ETA: 0:04:05 ( 0.61 s/it) accuracy/train: 0.844 loss/train: 0.42     Train Epoch 1: 6%|█▍ | ETA: 0:03:17 ( 0.50 s/it) accuracy/train: 0.898 loss/train: 0.331     Train Epoch 1: 7%|█▋ | ETA: 0:02:45 ( 0.42 s/it) accuracy/train: 0.906 loss/train: 0.341     Train Epoch 1: 8%|█▉ | ETA: 0:02:26 ( 0.38 s/it) accuracy/train: 0.906 loss/train: 0.321     Train Epoch 1: 9%|██▏ | ETA: 0:02:07 ( 0.33 s/it) accuracy/train: 0.93 loss/train: 0.312     Train Epoch 1: 11%|██▍ | ETA: 0:01:52 ( 0.30 s/it) accuracy/train: 0.938 loss/train: 0.26     Train Epoch 1: 12%|██▋ | ETA: 0:01:40 ( 0.27 s/it) accuracy/train: 0.922 loss/train: 0.232     Train Epoch 1: 13%|██▉ | ETA: 0:01:31 ( 0.25 s/it) accuracy/train: 0.898 loss/train: 0.333     Train Epoch 1: 14%|███▏ | ETA: 0:01:23 ( 0.23 s/it) accuracy/train: 0.945 loss/train: 0.292     Train Epoch 1: 15%|███▍ | ETA: 0:01:16 ( 0.21 s/it) accuracy/train: 0.914 loss/train: 0.248     Train Epoch 1: 17%|███▋ | ETA: 0:01:10 ( 0.20 s/it) accuracy/train: 0.93 loss/train: 0.199     Train Epoch 1: 18%|███▉ | ETA: 0:01:05 ( 0.19 s/it) accuracy/train: 0.938 loss/train: 0.241     Train Epoch 1: 19%|████▏ | ETA: 0:01:01 ( 0.18 s/it) accuracy/train: 0.93 loss/train: 0.201     Train Epoch 1: 20%|████▍ | ETA: 0:00:57 ( 0.17 s/it) accuracy/train: 0.906 loss/train: 0.367     Train Epoch 1: 21%|████▊ | ETA: 0:00:53 ( 0.16 s/it) accuracy/train: 0.93 loss/train: 0.181     Train Epoch 1: 23%|█████ | ETA: 0:00:50 ( 0.15 s/it) accuracy/train: 0.938 loss/train: 0.209     Train Epoch 1: 24%|█████▎ | ETA: 0:00:47 ( 0.15 s/it) accuracy/train: 0.938 loss/train: 0.274     Train Epoch 1: 25%|█████▌ | ETA: 0:00:44 ( 0.14 s/it) accuracy/train: 0.938 loss/train: 0.206     Train Epoch 1: 26%|█████▊ | ETA: 0:00:42 ( 0.14 s/it) accuracy/train: 0.953 loss/train: 0.167     Train Epoch 1: 27%|██████ | ETA: 0:00:40 ( 0.13 s/it) accuracy/train: 0.953 loss/train: 0.137     Train Epoch 1: 28%|██████▎ | ETA: 0:00:38 ( 0.13 s/it) accuracy/train: 0.914 loss/train: 0.276     Train Epoch 1: 30%|██████▌ | ETA: 0:00:36 ( 0.12 s/it) accuracy/train: 0.93 loss/train: 0.221     Train Epoch 1: 31%|██████▊ | ETA: 0:00:34 ( 0.12 s/it) accuracy/train: 0.922 loss/train: 0.243     Train Epoch 1: 32%|███████ | ETA: 0:00:33 ( 0.12 s/it) accuracy/train: 0.938 loss/train: 0.243     Train Epoch 1: 33%|███████▎ | ETA: 0:00:31 ( 0.11 s/it) accuracy/train: 0.961 loss/train: 0.163     Train Epoch 1: 34%|███████▌ | ETA: 0:00:30 ( 0.11 s/it) accuracy/train: 0.961 loss/train: 0.103     Train Epoch 1: 36%|███████▉ | ETA: 0:00:28 ( 0.11 s/it) accuracy/train: 0.938 loss/train: 0.148     Train Epoch 1: 37%|████████▏ | ETA: 0:00:27 ( 0.10 s/it) accuracy/train: 0.969 loss/train: 0.129     Train Epoch 1: 38%|████████▍ | ETA: 0:00:26 ( 0.10 s/it) accuracy/train: 0.953 loss/train: 0.148     Train Epoch 1: 39%|████████▋ | ETA: 0:00:25 (98.38 ms/it) accuracy/train: 0.961 loss/train: 0.139     Train Epoch 1: 41%|████████▉ | ETA: 0:00:24 (96.21 ms/it) accuracy/train: 0.938 loss/train: 0.242     Train Epoch 1: 42%|█████████▏ | ETA: 0:00:23 (94.17 ms/it) accuracy/train: 0.922 loss/train: 0.288     Train Epoch 1: 43%|█████████▍ | ETA: 0:00:22 (92.22 ms/it) accuracy/train: 0.914 loss/train: 0.247     Train Epoch 1: 44%|█████████▊ | ETA: 0:00:21 (90.38 ms/it) accuracy/train: 0.953 loss/train: 0.176     Train Epoch 1: 45%|██████████ | ETA: 0:00:20 (88.59 ms/it) accuracy/train: 0.93 loss/train: 0.277     Train Epoch 1: 46%|██████████▎ | ETA: 0:00:19 (86.96 ms/it) accuracy/train: 0.953 loss/train: 0.151     Train Epoch 1: 48%|██████████▌ | ETA: 0:00:18 (85.37 ms/it) accuracy/train: 0.953 loss/train: 0.167     Train Epoch 1: 49%|██████████▊ | ETA: 0:00:18 (83.86 ms/it) accuracy/train: 0.945 loss/train: 0.172     Train Epoch 1: 50%|███████████ | ETA: 0:00:17 (82.41 ms/it) accuracy/train: 0.969 loss/train: 0.0895     Train Epoch 1: 51%|███████████▎ | ETA: 0:00:16 (81.08 ms/it) accuracy/train: 0.984 loss/train: 0.0859     Train Epoch 1: 52%|███████████▌ | ETA: 0:00:16 (79.77 ms/it) accuracy/train: 0.914 loss/train: 0.229     Train Epoch 1: 54%|███████████▊ | ETA: 0:00:15 (78.54 ms/it) accuracy/train: 0.953 loss/train: 0.188     Train Epoch 1: 55%|████████████ | ETA: 0:00:14 (77.36 ms/it) accuracy/train: 0.969 loss/train: 0.112     Train Epoch 1: 56%|████████████▎ | ETA: 0:00:14 (76.24 ms/it) accuracy/train: 0.945 loss/train: 0.164     Train Epoch 1: 57%|████████████▋ | ETA: 0:00:13 (75.14 ms/it) accuracy/train: 0.961 loss/train: 0.165     Train Epoch 1: 58%|████████████▉ | ETA: 0:00:13 (74.12 ms/it) accuracy/train: 0.922 loss/train: 0.317     Train Epoch 1: 59%|█████████████ | ETA: 0:00:12 (73.38 ms/it) accuracy/train: 0.977 loss/train: 0.117     Train Epoch 1: 60%|█████████████▎ | ETA: 0:00:12 (72.41 ms/it) accuracy/train: 0.961 loss/train: 0.0972     Train Epoch 1: 62%|█████████████▌ | ETA: 0:00:11 (71.46 ms/it) accuracy/train: 0.969 loss/train: 0.147     Train Epoch 1: 63%|█████████████▉ | ETA: 0:00:11 (70.66 ms/it) accuracy/train: 0.953 loss/train: 0.151     Train Epoch 1: 64%|██████████████▏ | ETA: 0:00:10 (69.78 ms/it) accuracy/train: 0.898 loss/train: 0.226     Train Epoch 1: 65%|██████████████▎ | ETA: 0:00:10 (69.20 ms/it) accuracy/train: 0.961 loss/train: 0.138     Train Epoch 1: 66%|██████████████▌ | ETA: 0:00:09 (68.39 ms/it) accuracy/train: 0.977 loss/train: 0.0701     Train Epoch 1: 67%|██████████████▊ | ETA: 0:00:09 (67.61 ms/it) accuracy/train: 0.938 loss/train: 0.156     Train Epoch 1: 68%|███████████████▏ | ETA: 0:00:08 (66.85 ms/it) accuracy/train: 0.961 loss/train: 0.123     Train Epoch 1: 70%|███████████████▍ | ETA: 0:00:08 (66.91 ms/it) accuracy/train: 0.953 loss/train: 0.122     Train Epoch 1: 71%|███████████████▋ | ETA: 0:00:08 (66.20 ms/it) accuracy/train: 0.984 loss/train: 0.0557     Train Epoch 1: 72%|███████████████▉ | ETA: 0:00:08 (70.28 ms/it) accuracy/train: 0.953 loss/train: 0.152     Train Epoch 1: 73%|████████████████▏ | ETA: 0:00:07 (69.53 ms/it) accuracy/train: 0.969 loss/train: 0.116     Train Epoch 1: 74%|████████████████▍ | ETA: 0:00:07 (68.81 ms/it) accuracy/train: 0.945 loss/train: 0.144     Train Epoch 1: 75%|████████████████▋ | ETA: 0:00:07 (68.27 ms/it) accuracy/train: 0.914 loss/train: 0.271     Train Epoch 1: 76%|████████████████▊ | ETA: 0:00:06 (67.75 ms/it) accuracy/train: 0.953 loss/train: 0.132     Train Epoch 1: 77%|█████████████████ | ETA: 0:00:06 (67.27 ms/it) accuracy/train: 0.961 loss/train: 0.135     Train Epoch 1: 78%|█████████████████▎ | ETA: 0:00:06 (66.81 ms/it) accuracy/train: 0.969 loss/train: 0.172     Train Epoch 1: 79%|█████████████████▍ | ETA: 0:00:05 (66.36 ms/it) accuracy/train: 0.977 loss/train: 0.0637     Train Epoch 1: 80%|█████████████████▋ | ETA: 0:00:05 (65.93 ms/it) accuracy/train: 0.977 loss/train: 0.0629     Train Epoch 1: 81%|█████████████████▉ | ETA: 0:00:05 (65.52 ms/it) accuracy/train: 0.938 loss/train: 0.171     Train Epoch 1: 82%|██████████████████ | ETA: 0:00:04 (65.11 ms/it) accuracy/train: 0.953 loss/train: 0.15     Train Epoch 1: 83%|██████████████████▎ | ETA: 0:00:04 (64.70 ms/it) accuracy/train: 0.977 loss/train: 0.117     Train Epoch 1: 84%|██████████████████▌ | ETA: 0:00:04 (64.30 ms/it) accuracy/train: 0.961 loss/train: 0.135     Train Epoch 1: 85%|██████████████████▋ | ETA: 0:00:04 (63.90 ms/it) accuracy/train: 0.961 loss/train: 0.155     Train Epoch 1: 86%|██████████████████▉ | ETA: 0:00:03 (63.55 ms/it) accuracy/train: 0.969 loss/train: 0.136     Train Epoch 1: 87%|███████████████████▏ | ETA: 0:00:03 (63.03 ms/it) accuracy/train: 0.984 loss/train: 0.0565     Train Epoch 1: 88%|███████████████████▍ | ETA: 0:00:03 (62.63 ms/it) accuracy/train: 0.977 loss/train: 0.0686     Train Epoch 1: 89%|███████████████████▋ | ETA: 0:00:02 (62.13 ms/it) accuracy/train: 0.984 loss/train: 0.0473     Train Epoch 1: 90%|███████████████████▉ | ETA: 0:00:02 (61.63 ms/it) accuracy/train: 0.977 loss/train: 0.0734     Train Epoch 1: 91%|████████████████████▏ | ETA: 0:00:02 (61.15 ms/it) accuracy/train: 0.961 loss/train: 0.144     Train Epoch 1: 92%|████████████████████▎ | ETA: 0:00:02 (60.97 ms/it) accuracy/train: 0.922 loss/train: 0.168     Train Epoch 1: 93%|████████████████████▌ | ETA: 0:00:01 (60.51 ms/it) accuracy/train: 0.953 loss/train: 0.12     Train Epoch 1: 95%|████████████████████▊ | ETA: 0:00:01 (60.06 ms/it) accuracy/train: 0.969 loss/train: 0.129     Train Epoch 1: 96%|█████████████████████ | ETA: 0:00:01 (59.61 ms/it) accuracy/train: 0.977 loss/train: 0.0759     Train Epoch 1: 97%|█████████████████████▎| ETA: 0:00:00 (59.28 ms/it) accuracy/train: 0.969 loss/train: 0.101     Train Epoch 1: 98%|█████████████████████▌| ETA: 0:00:00 (58.85 ms/it) accuracy/train: 0.945 loss/train: 0.187     Train Epoch 1: 99%|█████████████████████▊| ETA: 0:00:00 (58.42 ms/it) accuracy/train: 0.969 loss/train: 0.0854     Train Epoch 1: 100%|██████████████████████| Time: 0:00:24 (58.07 ms/it) accuracy/train: 0.973 loss/train: 0.14   Val Epoch 1: 34%|████████▏ | ETA: 0:00:00 (12.92 ms/it) accuracy/val: 0.964 loss/val: 0.138        Val Epoch 1: 74%|█████████████████▉ | ETA: 0:00:00 ( 8.86 ms/it) accuracy/val: 0.963 loss/val: 0.128        Val Epoch 1: 100%|████████████████████████| Time: 0:00:00 ( 7.95 ms/it) accuracy/val: 0.961 loss/val: 0.136      Train Epoch 2: 1%|▎ | ETA: 0:00:08 (21.23 ms/it) accuracy/train: 0.945 loss/train: 0.163     Train Epoch 2: 2%|▌ | ETA: 0:00:10 (25.27 ms/it) accuracy/train: 1.0 loss/train: 0.0182     Train Epoch 2: 3%|▋ | ETA: 0:00:11 (27.02 ms/it) accuracy/train: 0.984 loss/train: 0.0625     Train Epoch 2: 4%|█ | ETA: 0:00:10 (25.55 ms/it) accuracy/train: 0.984 loss/train: 0.0802     Train Epoch 2: 5%|█▎ | ETA: 0:00:10 (25.09 ms/it) accuracy/train: 0.992 loss/train: 0.0371     Train Epoch 2: 7%|█▌ | ETA: 0:00:11 (29.55 ms/it) accuracy/train: 0.961 loss/train: 0.142     Train Epoch 2: 8%|█▊ | ETA: 0:00:11 (28.46 ms/it) accuracy/train: 0.961 loss/train: 0.128     Train Epoch 2: 9%|██ | ETA: 0:00:10 (27.81 ms/it) accuracy/train: 0.961 loss/train: 0.115     Train Epoch 2: 10%|██▎ | ETA: 0:00:10 (27.41 ms/it) accuracy/train: 0.969 loss/train: 0.131     Train Epoch 2: 11%|██▌ | ETA: 0:00:10 (26.88 ms/it) accuracy/train: 1.0 loss/train: 0.0237     Train Epoch 2: 13%|██▊ | ETA: 0:00:09 (26.62 ms/it) accuracy/train: 0.969 loss/train: 0.105     Train Epoch 2: 14%|███ | ETA: 0:00:09 (26.31 ms/it) accuracy/train: 0.961 loss/train: 0.0779     Train Epoch 2: 15%|███▎ | ETA: 0:00:09 (26.11 ms/it) accuracy/train: 0.969 loss/train: 0.0996     Train Epoch 2: 16%|███▌ | ETA: 0:00:09 (25.89 ms/it) accuracy/train: 0.969 loss/train: 0.0557     Train Epoch 2: 17%|███▊ | ETA: 0:00:08 (25.74 ms/it) accuracy/train: 0.969 loss/train: 0.0691     Train Epoch 2: 18%|████▏ | ETA: 0:00:08 (25.56 ms/it) accuracy/train: 0.953 loss/train: 0.143     Train Epoch 2: 20%|████▍ | ETA: 0:00:08 (25.48 ms/it) accuracy/train: 0.977 loss/train: 0.108     Train Epoch 2: 21%|████▋ | ETA: 0:00:08 (25.27 ms/it) accuracy/train: 0.945 loss/train: 0.144     Train Epoch 2: 22%|████▉ | ETA: 0:00:08 (25.14 ms/it) accuracy/train: 0.969 loss/train: 0.117     Train Epoch 2: 23%|█████▏ | ETA: 0:00:08 (25.00 ms/it) accuracy/train: 0.953 loss/train: 0.154     Train Epoch 2: 24%|█████▍ | ETA: 0:00:07 (24.88 ms/it) accuracy/train: 0.938 loss/train: 0.143     Train Epoch 2: 26%|█████▋ | ETA: 0:00:07 (24.73 ms/it) accuracy/train: 0.914 loss/train: 0.172     Train Epoch 2: 27%|█████▉ | ETA: 0:00:07 (24.70 ms/it) accuracy/train: 0.977 loss/train: 0.0672     Train Epoch 2: 28%|██████▏ | ETA: 0:00:07 (24.56 ms/it) accuracy/train: 0.938 loss/train: 0.133     Train Epoch 2: 29%|██████▍ | ETA: 0:00:07 (24.52 ms/it) accuracy/train: 0.977 loss/train: 0.0496     Train Epoch 2: 30%|██████▋ | ETA: 0:00:07 (24.45 ms/it) accuracy/train: 0.953 loss/train: 0.139     Train Epoch 2: 32%|██████▉ | ETA: 0:00:07 (24.38 ms/it) accuracy/train: 0.953 loss/train: 0.203     Train Epoch 2: 33%|███████▎ | ETA: 0:00:06 (24.27 ms/it) accuracy/train: 0.977 loss/train: 0.0427     Train Epoch 2: 34%|███████▌ | ETA: 0:00:06 (24.20 ms/it) accuracy/train: 0.977 loss/train: 0.0785     Train Epoch 2: 35%|███████▊ | ETA: 0:00:06 (24.14 ms/it) accuracy/train: 0.969 loss/train: 0.132     Train Epoch 2: 36%|████████ | ETA: 0:00:06 (24.15 ms/it) accuracy/train: 0.984 loss/train: 0.0474     Train Epoch 2: 37%|████████▎ | ETA: 0:00:06 (24.12 ms/it) accuracy/train: 0.977 loss/train: 0.0724     Train Epoch 2: 39%|████████▌ | ETA: 0:00:06 (24.11 ms/it) accuracy/train: 0.969 loss/train: 0.104     Train Epoch 2: 40%|████████▊ | ETA: 0:00:06 (24.08 ms/it) accuracy/train: 0.961 loss/train: 0.105     Train Epoch 2: 41%|█████████ | ETA: 0:00:06 (24.10 ms/it) accuracy/train: 0.945 loss/train: 0.245     Train Epoch 2: 42%|█████████▎ | ETA: 0:00:05 (24.07 ms/it) accuracy/train: 0.938 loss/train: 0.133     Train Epoch 2: 43%|█████████▌ | ETA: 0:00:05 (24.07 ms/it) accuracy/train: 0.977 loss/train: 0.0714     Train Epoch 2: 45%|█████████▊ | ETA: 0:00:05 (24.05 ms/it) accuracy/train: 0.977 loss/train: 0.0717     Train Epoch 2: 46%|██████████ | ETA: 0:00:05 (24.07 ms/it) accuracy/train: 0.969 loss/train: 0.139     Train Epoch 2: 47%|██████████▍ | ETA: 0:00:05 (24.04 ms/it) accuracy/train: 0.977 loss/train: 0.0927     Train Epoch 2: 48%|██████████▋ | ETA: 0:00:05 (24.05 ms/it) accuracy/train: 0.922 loss/train: 0.249     Train Epoch 2: 49%|██████████▉ | ETA: 0:00:05 (24.04 ms/it) accuracy/train: 0.961 loss/train: 0.179     Train Epoch 2: 50%|███████████▏ | ETA: 0:00:05 (24.06 ms/it) accuracy/train: 0.977 loss/train: 0.0965     Train Epoch 2: 51%|███████████▍ | ETA: 0:00:04 (24.12 ms/it) accuracy/train: 0.953 loss/train: 0.123     Train Epoch 2: 52%|███████████▌ | ETA: 0:00:04 (24.15 ms/it) accuracy/train: 0.969 loss/train: 0.141     Train Epoch 2: 54%|███████████▊ | ETA: 0:00:04 (24.14 ms/it) accuracy/train: 0.953 loss/train: 0.141     Train Epoch 2: 55%|████████████ | ETA: 0:00:04 (24.17 ms/it) accuracy/train: 0.969 loss/train: 0.118     Train Epoch 2: 56%|████████████▎ | ETA: 0:00:04 (24.16 ms/it) accuracy/train: 0.938 loss/train: 0.169     Train Epoch 2: 57%|████████████▌ | ETA: 0:00:04 (24.18 ms/it) accuracy/train: 0.992 loss/train: 0.0811     Train Epoch 2: 58%|████████████▊ | ETA: 0:00:04 (24.17 ms/it) accuracy/train: 0.969 loss/train: 0.137     Train Epoch 2: 59%|█████████████ | ETA: 0:00:04 (24.19 ms/it) accuracy/train: 0.984 loss/train: 0.129     Train Epoch 2: 60%|█████████████▎ | ETA: 0:00:04 (24.18 ms/it) accuracy/train: 0.945 loss/train: 0.127     Train Epoch 2: 61%|█████████████▌ | ETA: 0:00:03 (24.18 ms/it) accuracy/train: 0.945 loss/train: 0.162     Train Epoch 2: 63%|█████████████▊ | ETA: 0:00:03 (24.15 ms/it) accuracy/train: 0.93 loss/train: 0.206     Train Epoch 2: 64%|██████████████ | ETA: 0:00:03 (24.72 ms/it) accuracy/train: 0.938 loss/train: 0.326     Train Epoch 2: 65%|██████████████▎ | ETA: 0:00:03 (24.72 ms/it) accuracy/train: 0.977 loss/train: 0.0589     Train Epoch 2: 66%|██████████████▌ | ETA: 0:00:04 (30.38 ms/it) accuracy/train: 0.969 loss/train: 0.0731     Train Epoch 2: 67%|██████████████▊ | ETA: 0:00:04 (30.30 ms/it) accuracy/train: 0.945 loss/train: 0.139     Train Epoch 2: 68%|███████████████ | ETA: 0:00:04 (30.26 ms/it) accuracy/train: 0.953 loss/train: 0.127     Train Epoch 2: 69%|███████████████▎ | ETA: 0:00:03 (30.44 ms/it) accuracy/train: 0.969 loss/train: 0.0787     Train Epoch 2: 70%|███████████████▍ | ETA: 0:00:03 (30.43 ms/it) accuracy/train: 0.984 loss/train: 0.0495     Train Epoch 2: 71%|███████████████▋ | ETA: 0:00:03 (30.39 ms/it) accuracy/train: 0.977 loss/train: 0.117     Train Epoch 2: 72%|███████████████▉ | ETA: 0:00:03 (30.37 ms/it) accuracy/train: 0.969 loss/train: 0.0964     Train Epoch 2: 73%|████████████████ | ETA: 0:00:03 (30.35 ms/it) accuracy/train: 0.969 loss/train: 0.0741     Train Epoch 2: 74%|████████████████▎ | ETA: 0:00:03 (30.34 ms/it) accuracy/train: 0.977 loss/train: 0.0959     Train Epoch 2: 75%|████████████████▌ | ETA: 0:00:03 (30.33 ms/it) accuracy/train: 0.969 loss/train: 0.109     Train Epoch 2: 76%|████████████████▋ | ETA: 0:00:03 (30.33 ms/it) accuracy/train: 0.977 loss/train: 0.0746     Train Epoch 2: 77%|████████████████▉ | ETA: 0:00:02 (30.34 ms/it) accuracy/train: 0.953 loss/train: 0.0974     Train Epoch 2: 78%|█████████████████▏ | ETA: 0:00:02 (30.35 ms/it) accuracy/train: 0.898 loss/train: 0.298     Train Epoch 2: 79%|█████████████████▎ | ETA: 0:00:02 (30.36 ms/it) accuracy/train: 0.969 loss/train: 0.0944     Train Epoch 2: 80%|█████████████████▌ | ETA: 0:00:02 (30.37 ms/it) accuracy/train: 0.992 loss/train: 0.0381     Train Epoch 2: 81%|█████████████████▊ | ETA: 0:00:02 (30.38 ms/it) accuracy/train: 0.961 loss/train: 0.147     Train Epoch 2: 82%|█████████████████▉ | ETA: 0:00:02 (30.40 ms/it) accuracy/train: 0.977 loss/train: 0.0839     Train Epoch 2: 82%|██████████████████▏ | ETA: 0:00:02 (30.41 ms/it) accuracy/train: 0.977 loss/train: 0.0643     Train Epoch 2: 83%|██████████████████▍ | ETA: 0:00:02 (30.43 ms/it) accuracy/train: 0.984 loss/train: 0.0383     Train Epoch 2: 84%|██████████████████▌ | ETA: 0:00:02 (30.46 ms/it) accuracy/train: 0.969 loss/train: 0.0939     Train Epoch 2: 85%|██████████████████▊ | ETA: 0:00:01 (30.47 ms/it) accuracy/train: 0.961 loss/train: 0.132     Train Epoch 2: 86%|███████████████████ | ETA: 0:00:01 (30.49 ms/it) accuracy/train: 0.977 loss/train: 0.0819     Train Epoch 2: 87%|███████████████████▏ | ETA: 0:00:01 (30.49 ms/it) accuracy/train: 0.984 loss/train: 0.0542     Train Epoch 2: 88%|███████████████████▍ | ETA: 0:00:01 (30.52 ms/it) accuracy/train: 0.969 loss/train: 0.151     Train Epoch 2: 89%|███████████████████▋ | ETA: 0:00:01 (30.53 ms/it) accuracy/train: 0.922 loss/train: 0.363     Train Epoch 2: 90%|███████████████████▊ | ETA: 0:00:01 (30.55 ms/it) accuracy/train: 0.977 loss/train: 0.0647     Train Epoch 2: 91%|████████████████████ | ETA: 0:00:01 (30.57 ms/it) accuracy/train: 0.961 loss/train: 0.119     Train Epoch 2: 92%|████████████████████▏ | ETA: 0:00:01 (30.61 ms/it) accuracy/train: 0.914 loss/train: 0.279     Train Epoch 2: 93%|████████████████████▍ | ETA: 0:00:00 (30.57 ms/it) accuracy/train: 0.969 loss/train: 0.0946     Train Epoch 2: 94%|████████████████████▋ | ETA: 0:00:00 (30.54 ms/it) accuracy/train: 0.984 loss/train: 0.0321     Train Epoch 2: 95%|████████████████████▊ | ETA: 0:00:00 (30.50 ms/it) accuracy/train: 0.961 loss/train: 0.122     Train Epoch 2: 95%|█████████████████████ | ETA: 0:00:00 (30.47 ms/it) accuracy/train: 0.992 loss/train: 0.0343     Train Epoch 2: 96%|█████████████████████▎| ETA: 0:00:00 (30.44 ms/it) accuracy/train: 0.969 loss/train: 0.0706     Train Epoch 2: 97%|█████████████████████▍| ETA: 0:00:00 (30.40 ms/it) accuracy/train: 0.945 loss/train: 0.156     Train Epoch 2: 98%|█████████████████████▋| ETA: 0:00:00 (30.36 ms/it) accuracy/train: 0.953 loss/train: 0.108     Train Epoch 2: 99%|█████████████████████▉| ETA: 0:00:00 (30.32 ms/it) accuracy/train: 0.977 loss/train: 0.102     Train Epoch 2: 100%|██████████████████████| Time: 0:00:12 (30.29 ms/it) accuracy/train: 0.964 loss/train: 0.114   Val Epoch 2: 15%|███▋ | ETA: 0:00:00 (17.32 ms/it) accuracy/val: 0.967 loss/val: 0.128        Val Epoch 2: 53%|████████████▊ | ETA: 0:00:00 ( 9.09 ms/it) accuracy/val: 0.972 loss/val: 0.111        Val Epoch 2: 94%|██████████████████████▌ | ETA: 0:00:00 ( 7.57 ms/it) accuracy/val: 0.971 loss/val: 0.114        Val Epoch 2: 100%|████████████████████████| Time: 0:00:00 ( 7.46 ms/it) accuracy/val: 0.971 loss/val: 0.114      Train Epoch 3: 1%|▎ | ETA: 0:00:11 (27.44 ms/it) accuracy/train: 1.0 loss/train: 0.012     Train Epoch 3: 2%|▍ | ETA: 0:00:11 (27.13 ms/it) accuracy/train: 0.992 loss/train: 0.03     Train Epoch 3: 3%|▋ | ETA: 0:00:10 (26.81 ms/it) accuracy/train: 0.984 loss/train: 0.0372     Train Epoch 3: 4%|▉ | ETA: 0:00:10 (26.76 ms/it) accuracy/train: 0.977 loss/train: 0.0495     Train Epoch 3: 5%|█ | ETA: 0:00:10 (26.67 ms/it) accuracy/train: 0.977 loss/train: 0.11     Train Epoch 3: 6%|█▎ | ETA: 0:00:11 (27.72 ms/it) accuracy/train: 0.977 loss/train: 0.0648     Train Epoch 3: 7%|█▌ | ETA: 0:00:10 (27.52 ms/it) accuracy/train: 0.984 loss/train: 0.0281     Train Epoch 3: 8%|█▋ | ETA: 0:00:10 (27.39 ms/it) accuracy/train: 0.984 loss/train: 0.119     Train Epoch 3: 9%|█▉ | ETA: 0:00:10 (27.26 ms/it) accuracy/train: 0.992 loss/train: 0.0326     Train Epoch 3: 9%|██▏ | ETA: 0:00:10 (27.19 ms/it) accuracy/train: 0.984 loss/train: 0.0325     Train Epoch 3: 10%|██▎ | ETA: 0:00:10 (27.12 ms/it) accuracy/train: 0.992 loss/train: 0.0269     Train Epoch 3: 11%|██▌ | ETA: 0:00:10 (27.33 ms/it) accuracy/train: 0.992 loss/train: 0.0211     Train Epoch 3: 12%|██▊ | ETA: 0:00:10 (27.28 ms/it) accuracy/train: 0.992 loss/train: 0.0263     Train Epoch 3: 13%|██▉ | ETA: 0:00:09 (27.24 ms/it) accuracy/train: 0.961 loss/train: 0.0966     Train Epoch 3: 14%|███▏ | ETA: 0:00:09 (27.22 ms/it) accuracy/train: 0.977 loss/train: 0.0549     Train Epoch 3: 15%|███▍ | ETA: 0:00:09 (27.20 ms/it) accuracy/train: 0.984 loss/train: 0.0373     Train Epoch 3: 16%|███▌ | ETA: 0:00:09 (27.34 ms/it) accuracy/train: 0.992 loss/train: 0.0484     Train Epoch 3: 17%|███▊ | ETA: 0:00:09 (27.33 ms/it) accuracy/train: 0.992 loss/train: 0.0358     Train Epoch 3: 18%|████ | ETA: 0:00:09 (27.32 ms/it) accuracy/train: 0.961 loss/train: 0.138     Train Epoch 3: 19%|████▏ | ETA: 0:00:09 (27.29 ms/it) accuracy/train: 0.992 loss/train: 0.0222     Train Epoch 3: 20%|████▍ | ETA: 0:00:09 (27.39 ms/it) accuracy/train: 0.984 loss/train: 0.0347     Train Epoch 3: 21%|████▋ | ETA: 0:00:09 (27.37 ms/it) accuracy/train: 0.977 loss/train: 0.0521     Train Epoch 3: 22%|████▊ | ETA: 0:00:09 (27.34 ms/it) accuracy/train: 1.0 loss/train: 0.00713     Train Epoch 3: 23%|█████ | ETA: 0:00:08 (27.45 ms/it) accuracy/train: 0.992 loss/train: 0.0304     Train Epoch 3: 24%|█████▎ | ETA: 0:00:08 (27.42 ms/it) accuracy/train: 0.992 loss/train: 0.0627     Train Epoch 3: 25%|█████▍ | ETA: 0:00:08 (27.45 ms/it) accuracy/train: 0.984 loss/train: 0.0408     Train Epoch 3: 26%|█████▋ | ETA: 0:00:08 (27.42 ms/it) accuracy/train: 0.992 loss/train: 0.011     Train Epoch 3: 27%|█████▉ | ETA: 0:00:08 (27.39 ms/it) accuracy/train: 0.969 loss/train: 0.0679     Train Epoch 3: 27%|██████ | ETA: 0:00:08 (27.39 ms/it) accuracy/train: 0.977 loss/train: 0.122     Train Epoch 3: 28%|██████▎ | ETA: 0:00:08 (27.38 ms/it) accuracy/train: 0.969 loss/train: 0.0717     Train Epoch 3: 29%|██████▌ | ETA: 0:00:08 (27.40 ms/it) accuracy/train: 0.984 loss/train: 0.0506     Train Epoch 3: 30%|██████▋ | ETA: 0:00:08 (27.37 ms/it) accuracy/train: 0.977 loss/train: 0.026     Train Epoch 3: 31%|██████▉ | ETA: 0:00:07 (27.33 ms/it) accuracy/train: 0.992 loss/train: 0.0431     Train Epoch 3: 32%|███████▏ | ETA: 0:00:07 (27.35 ms/it) accuracy/train: 1.0 loss/train: 0.0153     Train Epoch 3: 33%|███████▎ | ETA: 0:00:07 (27.32 ms/it) accuracy/train: 0.992 loss/train: 0.0439     Train Epoch 3: 34%|███████▌ | ETA: 0:00:07 (27.34 ms/it) accuracy/train: 1.0 loss/train: 0.00772     Train Epoch 3: 35%|███████▊ | ETA: 0:00:07 (27.31 ms/it) accuracy/train: 0.992 loss/train: 0.0386     Train Epoch 3: 36%|███████▉ | ETA: 0:00:07 (27.27 ms/it) accuracy/train: 0.984 loss/train: 0.0571     Train Epoch 3: 37%|████████▏ | ETA: 0:00:07 (27.26 ms/it) accuracy/train: 0.984 loss/train: 0.0487     Train Epoch 3: 38%|████████▍ | ETA: 0:00:07 (27.19 ms/it) accuracy/train: 0.969 loss/train: 0.123     Train Epoch 3: 39%|████████▋ | ETA: 0:00:06 (27.17 ms/it) accuracy/train: 0.977 loss/train: 0.0741     Train Epoch 3: 40%|████████▊ | ETA: 0:00:06 (27.15 ms/it) accuracy/train: 0.969 loss/train: 0.103     Train Epoch 3: 41%|█████████ | ETA: 0:00:06 (27.15 ms/it) accuracy/train: 0.992 loss/train: 0.0116     Train Epoch 3: 42%|█████████▎ | ETA: 0:00:06 (27.11 ms/it) accuracy/train: 0.969 loss/train: 0.0634     Train Epoch 3: 43%|█████████▍ | ETA: 0:00:06 (27.07 ms/it) accuracy/train: 0.984 loss/train: 0.0874     Train Epoch 3: 44%|█████████▋ | ETA: 0:00:06 (27.09 ms/it) accuracy/train: 0.984 loss/train: 0.0614     Train Epoch 3: 45%|█████████▉ | ETA: 0:00:06 (27.10 ms/it) accuracy/train: 0.969 loss/train: 0.0515     Train Epoch 3: 46%|██████████ | ETA: 0:00:06 (27.13 ms/it) accuracy/train: 0.969 loss/train: 0.0682     Train Epoch 3: 47%|██████████▎ | ETA: 0:00:06 (27.14 ms/it) accuracy/train: 0.984 loss/train: 0.0547     Train Epoch 3: 48%|██████████▌ | ETA: 0:00:05 (27.14 ms/it) accuracy/train: 0.992 loss/train: 0.052     Train Epoch 3: 49%|██████████▋ | ETA: 0:00:05 (27.16 ms/it) accuracy/train: 1.0 loss/train: 0.00863     Train Epoch 3: 50%|██████████▉ | ETA: 0:00:05 (27.18 ms/it) accuracy/train: 0.977 loss/train: 0.0467     Train Epoch 3: 50%|███████████▏ | ETA: 0:00:05 (27.21 ms/it) accuracy/train: 0.977 loss/train: 0.112     Train Epoch 3: 51%|███████████▍ | ETA: 0:00:05 (27.20 ms/it) accuracy/train: 0.992 loss/train: 0.0403     Train Epoch 3: 52%|███████████▌ | ETA: 0:00:05 (27.20 ms/it) accuracy/train: 0.992 loss/train: 0.0204     Train Epoch 3: 53%|███████████▊ | ETA: 0:00:05 (27.22 ms/it) accuracy/train: 0.992 loss/train: 0.0343     Train Epoch 3: 54%|████████████ | ETA: 0:00:05 (27.20 ms/it) accuracy/train: 1.0 loss/train: 0.0284     Train Epoch 3: 55%|████████████▏ | ETA: 0:00:05 (27.22 ms/it) accuracy/train: 0.984 loss/train: 0.131     Train Epoch 3: 56%|████████████▍ | ETA: 0:00:05 (27.21 ms/it) accuracy/train: 0.984 loss/train: 0.0309     Train Epoch 3: 57%|████████████▋ | ETA: 0:00:04 (27.21 ms/it) accuracy/train: 1.0 loss/train: 0.0196     Train Epoch 3: 58%|████████████▊ | ETA: 0:00:04 (27.23 ms/it) accuracy/train: 0.969 loss/train: 0.0915     Train Epoch 3: 59%|█████████████ | ETA: 0:00:04 (27.22 ms/it) accuracy/train: 0.992 loss/train: 0.0206     Train Epoch 3: 60%|█████████████▎ | ETA: 0:00:04 (27.23 ms/it) accuracy/train: 0.984 loss/train: 0.0608     Train Epoch 3: 61%|█████████████▍ | ETA: 0:00:04 (27.22 ms/it) accuracy/train: 1.0 loss/train: 0.0024     Train Epoch 3: 62%|█████████████▋ | ETA: 0:00:04 (27.22 ms/it) accuracy/train: 1.0 loss/train: 0.0121     Train Epoch 3: 63%|█████████████▉ | ETA: 0:00:04 (27.22 ms/it) accuracy/train: 0.984 loss/train: 0.054     Train Epoch 3: 64%|██████████████ | ETA: 0:00:04 (27.22 ms/it) accuracy/train: 1.0 loss/train: 0.0123     Train Epoch 3: 65%|██████████████▎ | ETA: 0:00:04 (27.23 ms/it) accuracy/train: 1.0 loss/train: 0.00698     Train Epoch 3: 66%|██████████████▌ | ETA: 0:00:03 (27.27 ms/it) accuracy/train: 0.992 loss/train: 0.0146     Train Epoch 3: 67%|██████████████▋ | ETA: 0:00:03 (27.26 ms/it) accuracy/train: 0.992 loss/train: 0.0269     Train Epoch 3: 68%|██████████████▉ | ETA: 0:00:03 (27.32 ms/it) accuracy/train: 0.992 loss/train: 0.0424     Train Epoch 3: 68%|███████████████▏ | ETA: 0:00:03 (27.31 ms/it) accuracy/train: 0.992 loss/train: 0.0319     Train Epoch 3: 69%|███████████████▎ | ETA: 0:00:03 (27.34 ms/it) accuracy/train: 0.984 loss/train: 0.0629     Train Epoch 3: 70%|███████████████▌ | ETA: 0:00:03 (27.33 ms/it) accuracy/train: 0.992 loss/train: 0.0148     Train Epoch 3: 71%|███████████████▊ | ETA: 0:00:03 (27.33 ms/it) accuracy/train: 0.969 loss/train: 0.123     Train Epoch 3: 72%|███████████████▉ | ETA: 0:00:03 (27.35 ms/it) accuracy/train: 0.984 loss/train: 0.037     Train Epoch 3: 73%|████████████████▏ | ETA: 0:00:03 (27.34 ms/it) accuracy/train: 0.992 loss/train: 0.0134     Train Epoch 3: 74%|████████████████▍ | ETA: 0:00:02 (27.35 ms/it) accuracy/train: 0.984 loss/train: 0.045     Train Epoch 3: 75%|████████████████▌ | ETA: 0:00:02 (27.34 ms/it) accuracy/train: 1.0 loss/train: 0.0182     Train Epoch 3: 76%|████████████████▊ | ETA: 0:00:02 (27.35 ms/it) accuracy/train: 0.992 loss/train: 0.0137     Train Epoch 3: 77%|█████████████████ | ETA: 0:00:02 (27.36 ms/it) accuracy/train: 1.0 loss/train: 0.0129     Train Epoch 3: 78%|█████████████████▏ | ETA: 0:00:02 (27.36 ms/it) accuracy/train: 1.0 loss/train: 0.00497     Train Epoch 3: 79%|█████████████████▍ | ETA: 0:00:02 (27.37 ms/it) accuracy/train: 0.992 loss/train: 0.0223     Train Epoch 3: 80%|█████████████████▋ | ETA: 0:00:02 (27.37 ms/it) accuracy/train: 0.992 loss/train: 0.0196     Train Epoch 3: 81%|█████████████████▊ | ETA: 0:00:02 (27.37 ms/it) accuracy/train: 1.0 loss/train: 0.00593     Train Epoch 3: 82%|██████████████████ | ETA: 0:00:02 (28.02 ms/it) accuracy/train: 1.0 loss/train: 0.00834     Train Epoch 3: 83%|██████████████████▎ | ETA: 0:00:02 (28.07 ms/it) accuracy/train: 0.977 loss/train: 0.0574     Train Epoch 3: 84%|██████████████████▍ | ETA: 0:00:02 (31.81 ms/it) accuracy/train: 1.0 loss/train: 0.0147     Train Epoch 3: 85%|██████████████████▋ | ETA: 0:00:02 (31.68 ms/it) accuracy/train: 0.984 loss/train: 0.0512     Train Epoch 3: 86%|██████████████████▉ | ETA: 0:00:01 (31.63 ms/it) accuracy/train: 0.984 loss/train: 0.0561     Train Epoch 3: 87%|███████████████████▏ | ETA: 0:00:01 (31.62 ms/it) accuracy/train: 0.992 loss/train: 0.0301     Train Epoch 3: 88%|███████████████████▎ | ETA: 0:00:01 (31.56 ms/it) accuracy/train: 1.0 loss/train: 0.0126     Train Epoch 3: 96%|█████████████████████▎| ETA: 0:00:00 (32.16 ms/it) accuracy/train: 1.0 loss/train: 0.00711     Train Epoch 3: 98%|█████████████████████▌| ETA: 0:00:00 (32.15 ms/it) accuracy/train: 0.992 loss/train: 0.0338     Train Epoch 3: 99%|█████████████████████▊| ETA: 0:00:00 (32.15 ms/it) accuracy/train: 1.0 loss/train: 0.00235     Train Epoch 3: 100%|██████████████████████| ETA: 0:00:00 (32.13 ms/it) accuracy/train: 0.977 loss/train: 0.0554     Train Epoch 3: 100%|██████████████████████| Time: 0:00:13 (32.12 ms/it) accuracy/train: 0.964 loss/train: 0.101 Val Epoch 3: 43%|██████████▎ | ETA: 0:00:00 ( 5.08 ms/it) accuracy/val: 0.977 loss/val: 0.0886     Val Epoch 3: 87%|████████████████████▉ | ETA: 0:00:00 ( 4.97 ms/it) accuracy/val: 0.98 loss/val: 0.0753     Val Epoch 3: 100%|████████████████████████| Time: 0:00:00 ( 4.94 ms/it) accuracy/val: 0.98 loss/val: 0.0737 [ Info: GPUs available: false, used: false [ Info: Model Summary: MLP( Chain( MLUtils.flatten, Dense(784 => 1024, relu), # 803_840 parameters Dense(1024 => 10), # 10_250 parameters ), ) # Total: 4 arrays, 814_090 parameters, 3.106 MiB. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/examples/MLP_MNIST/tsunami_logs/run_2 Val Epoch 3: 34%|████████▏ | ETA: 0:00:00 ( 6.31 ms/it) accuracy/val: 0.982 loss/val: 0.0689     Val Epoch 3: 72%|█████████████████▍ | ETA: 0:00:00 ( 6.01 ms/it) accuracy/val: 0.983 loss/val: 0.0661     Val Epoch 3: 100%|████████████████████████| Time: 0:00:00 ( 5.90 ms/it) accuracy/val: 0.98 loss/val: 0.0737   Train Epoch 4: 1%|▎ | ETA: 0:00:11 (27.37 ms/it) accuracy/train: 0.992 loss/train: 0.0439     Train Epoch 4: 2%|▍ | ETA: 0:00:11 (27.41 ms/it) accuracy/train: 0.984 loss/train: 0.0342     Train Epoch 4: 3%|▋ | ETA: 0:00:11 (27.09 ms/it) accuracy/train: 0.992 loss/train: 0.0238     Train Epoch 4: 4%|▉ | ETA: 0:00:10 (26.76 ms/it) accuracy/train: 0.992 loss/train: 0.0331     Train Epoch 4: 5%|█ | ETA: 0:00:14 (36.95 ms/it) accuracy/train: 0.969 loss/train: 0.149     Train Epoch 4: 6%|█▎ | ETA: 0:00:14 (35.31 ms/it) accuracy/train: 0.992 loss/train: 0.0438     Train Epoch 4: 7%|█▌ | ETA: 0:00:13 (34.22 ms/it) accuracy/train: 0.984 loss/train: 0.0374     Train Epoch 4: 8%|█▋ | ETA: 0:00:13 (33.40 ms/it) accuracy/train: 0.992 loss/train: 0.046     Train Epoch 4: 9%|█▉ | ETA: 0:00:12 (32.73 ms/it) accuracy/train: 1.0 loss/train: 0.0279     Train Epoch 4: 9%|██▏ | ETA: 0:00:12 (33.12 ms/it) accuracy/train: 0.984 loss/train: 0.0322     Train Epoch 4: 10%|██▎ | ETA: 0:00:12 (32.67 ms/it) accuracy/train: 0.992 loss/train: 0.0332     Train Epoch 4: 11%|██▌ | ETA: 0:00:12 (32.22 ms/it) accuracy/train: 0.992 loss/train: 0.0343     Train Epoch 4: 12%|██▊ | ETA: 0:00:11 (31.87 ms/it) accuracy/train: 0.977 loss/train: 0.0638     Train Epoch 4: 13%|██▉ | ETA: 0:00:11 (31.78 ms/it) accuracy/train: 1.0 loss/train: 0.00904     Train Epoch 4: 14%|███▏ | ETA: 0:00:11 (31.59 ms/it) accuracy/train: 1.0 loss/train: 0.0118     Train Epoch 4: 15%|███▍ | ETA: 0:00:11 (31.36 ms/it) accuracy/train: 1.0 loss/train: 0.00391     Train Epoch 4: 16%|███▌ | ETA: 0:00:11 (31.14 ms/it) accuracy/train: 1.0 loss/train: 0.0234     Train Epoch 4: 17%|███▊ | ETA: 0:00:10 (31.06 ms/it) accuracy/train: 1.0 loss/train: 0.0096     Train Epoch 4: 18%|████ | ETA: 0:00:10 (30.86 ms/it) accuracy/train: 0.984 loss/train: 0.041     Train Epoch 4: 19%|████▏ | ETA: 0:00:10 (30.76 ms/it) accuracy/train: 1.0 loss/train: 0.019     Train Epoch 4: 20%|████▍ | ETA: 0:00:10 (30.59 ms/it) accuracy/train: 0.992 loss/train: 0.0512     Train Epoch 4: 21%|████▋ | ETA: 0:00:10 (30.46 ms/it) accuracy/train: 0.992 loss/train: 0.0351     Train Epoch 4: 22%|████▊ | ETA: 0:00:10 (30.42 ms/it) accuracy/train: 1.0 loss/train: 0.00974     Train Epoch 4: 23%|█████ | ETA: 0:00:09 (30.30 ms/it) accuracy/train: 0.977 loss/train: 0.0578     Train Epoch 4: 24%|█████▎ | ETA: 0:00:09 (30.21 ms/it) accuracy/train: 0.984 loss/train: 0.0374     Train Epoch 4: 25%|█████▍ | ETA: 0:00:09 (30.16 ms/it) accuracy/train: 0.992 loss/train: 0.02     Train Epoch 4: 26%|█████▋ | ETA: 0:00:09 (30.06 ms/it) accuracy/train: 0.992 loss/train: 0.0562     Train Epoch 4: 27%|█████▉ | ETA: 0:00:09 (32.01 ms/it) accuracy/train: 0.992 loss/train: 0.0284     Train Epoch 4: 27%|██████ | ETA: 0:00:09 (31.90 ms/it) accuracy/train: 0.984 loss/train: 0.0443     Train Epoch 4: 28%|██████▎ | ETA: 0:00:09 (31.71 ms/it) accuracy/train: 0.992 loss/train: 0.0209     Train Epoch 4: 29%|██████▌ | ETA: 0:00:13 (44.14 ms/it) accuracy/train: 0.992 loss/train: 0.0279     Train Epoch 4: 30%|██████▋ | ETA: 0:00:12 (43.65 ms/it) accuracy/train: 1.0 loss/train: 0.0155     Train Epoch 4: 31%|██████▉ | ETA: 0:00:12 (43.17 ms/it) accuracy/train: 0.992 loss/train: 0.0341     Train Epoch 4: 32%|███████▏ | ETA: 0:00:12 (42.73 ms/it) accuracy/train: 1.0 loss/train: 0.0116     Train Epoch 4: 33%|███████▎ | ETA: 0:00:11 (42.29 ms/it) accuracy/train: 0.992 loss/train: 0.0263     Train Epoch 4: 34%|███████▌ | ETA: 0:00:11 (41.88 ms/it) accuracy/train: 0.992 loss/train: 0.0558     Train Epoch 4: 35%|███████▊ | ETA: 0:00:11 (41.46 ms/it) accuracy/train: 0.992 loss/train: 0.0218     Train Epoch 4: 36%|████████ | ETA: 0:00:11 (40.92 ms/it) accuracy/train: 1.0 loss/train: 0.0129     Train Epoch 4: 37%|████████▏ | ETA: 0:00:10 (40.59 ms/it) accuracy/train: 0.977 loss/train: 0.0911     Train Epoch 4: 38%|████████▍ | ETA: 0:00:10 (40.27 ms/it) accuracy/train: 0.977 loss/train: 0.0556     Train Epoch 4: 39%|████████▋ | ETA: 0:00:10 (39.95 ms/it) accuracy/train: 0.984 loss/train: 0.0282     Train Epoch 4: 40%|████████▊ | ETA: 0:00:10 (39.68 ms/it) accuracy/train: 0.984 loss/train: 0.0344     Train Epoch 4: 41%|█████████ | ETA: 0:00:09 (39.40 ms/it) accuracy/train: 1.0 loss/train: 0.00815     Train Epoch 4: 42%|█████████▎ | ETA: 0:00:09 (39.17 ms/it) accuracy/train: 0.992 loss/train: 0.0174     Train Epoch 4: 43%|█████████▍ | ETA: 0:00:09 (38.92 ms/it) accuracy/train: 0.992 loss/train: 0.023     Train Epoch 4: 44%|█████████▋ | ETA: 0:00:09 (38.88 ms/it) accuracy/train: 0.992 loss/train: 0.0066     Train Epoch 4: 45%|█████████▉ | ETA: 0:00:09 (38.64 ms/it) accuracy/train: 0.992 loss/train: 0.0353     Train Epoch 4: 46%|██████████ | ETA: 0:00:08 (38.42 ms/it) accuracy/train: 1.0 loss/train: 0.0153     Train Epoch 4: 47%|██████████▎ | ETA: 0:00:08 (38.19 ms/it) accuracy/train: 1.0 loss/train: 0.017     Train Epoch 4: 48%|██████████▌ | ETA: 0:00:08 (37.98 ms/it) accuracy/train: 0.992 loss/train: 0.0177     Train Epoch 4: 49%|██████████▋ | ETA: 0:00:08 (37.78 ms/it) accuracy/train: 1.0 loss/train: 0.00768     Train Epoch 4: 50%|██████████▉ | ETA: 0:00:08 (37.59 ms/it) accuracy/train: 1.0 loss/train: 0.029     Train Epoch 4: 50%|███████████▏ | ETA: 0:00:07 (37.43 ms/it) accuracy/train: 0.992 loss/train: 0.0209     Train Epoch 4: 51%|███████████▍ | ETA: 0:00:07 (37.26 ms/it) accuracy/train: 0.977 loss/train: 0.0497     Train Epoch 4: 52%|███████████▌ | ETA: 0:00:07 (37.08 ms/it) accuracy/train: 0.992 loss/train: 0.0137     Train Epoch 4: 53%|███████████▊ | ETA: 0:00:07 (36.92 ms/it) accuracy/train: 0.984 loss/train: 0.038     Train Epoch 4: 54%|████████████ | ETA: 0:00:07 (36.75 ms/it) accuracy/train: 0.992 loss/train: 0.0316     Train Epoch 4: 55%|████████████▏ | ETA: 0:00:06 (36.58 ms/it) accuracy/train: 1.0 loss/train: 0.0113     Train Epoch 4: 56%|████████████▍ | ETA: 0:00:06 (36.45 ms/it) accuracy/train: 0.992 loss/train: 0.0144     Train Epoch 4: 57%|████████████▋ | ETA: 0:00:06 (36.29 ms/it) accuracy/train: 0.992 loss/train: 0.0179     Train Epoch 4: 58%|████████████▊ | ETA: 0:00:06 (36.14 ms/it) accuracy/train: 1.0 loss/train: 0.0184     Train Epoch 4: 59%|█████████████ | ETA: 0:00:06 (36.00 ms/it) accuracy/train: 1.0 loss/train: 0.0113     Train Epoch 4: 60%|█████████████▎ | ETA: 0:00:06 (35.87 ms/it) accuracy/train: 0.984 loss/train: 0.018     Train Epoch 4: 61%|█████████████▍ | ETA: 0:00:05 (35.77 ms/it) accuracy/train: 0.992 loss/train: 0.016     Train Epoch 4: 62%|█████████████▋ | ETA: 0:00:05 (35.64 ms/it) accuracy/train: 1.0 loss/train: 0.00596     Train Epoch 4: 63%|█████████████▉ | ETA: 0:00:05 (35.51 ms/it) accuracy/train: 0.992 loss/train: 0.0227     Train Epoch 4: 64%|██████████████ | ETA: 0:00:05 (35.38 ms/it) accuracy/train: 0.992 loss/train: 0.0236     Train Epoch 4: 65%|██████████████▎ | ETA: 0:00:05 (35.27 ms/it) accuracy/train: 0.992 loss/train: 0.0359     Train Epoch 4: 66%|██████████████▌ | ETA: 0:00:05 (35.15 ms/it) accuracy/train: 1.0 loss/train: 0.0126     Train Epoch 4: 67%|██████████████▋ | ETA: 0:00:04 (35.04 ms/it) accuracy/train: 1.0 loss/train: 0.00535     Train Epoch 4: 68%|██████████████▉ | ETA: 0:00:04 (34.95 ms/it) accuracy/train: 1.0 loss/train: 0.0122     Train Epoch 4: 68%|███████████████▏ | ETA: 0:00:04 (34.86 ms/it) accuracy/train: 0.984 loss/train: 0.0358     Train Epoch 4: 69%|███████████████▎ | ETA: 0:00:04 (34.77 ms/it) accuracy/train: 0.977 loss/train: 0.0464     Train Epoch 4: 70%|███████████████▌ | ETA: 0:00:04 (34.67 ms/it) accuracy/train: 0.984 loss/train: 0.0406     Train Epoch 4: 71%|███████████████▊ | ETA: 0:00:04 (34.57 ms/it) accuracy/train: 0.992 loss/train: 0.0266     Train Epoch 4: 72%|███████████████▉ | ETA: 0:00:04 (34.49 ms/it) accuracy/train: 1.0 loss/train: 0.0143     Train Epoch 4: 73%|████████████████▏ | ETA: 0:00:03 (34.39 ms/it) accuracy/train: 0.992 loss/train: 0.0299     Train Epoch 4: 74%|████████████████▍ | ETA: 0:00:03 (34.32 ms/it) accuracy/train: 0.992 loss/train: 0.0107     Train Epoch 4: 75%|████████████████▌ | ETA: 0:00:03 (34.23 ms/it) accuracy/train: 0.992 loss/train: 0.0247     Train Epoch 4: 76%|████████████████▊ | ETA: 0:00:03 (34.15 ms/it) accuracy/train: 0.992 loss/train: 0.0377     Train Epoch 4: 77%|█████████████████ | ETA: 0:00:03 (34.08 ms/it) accuracy/train: 1.0 loss/train: 0.00587     Train Epoch 4: 78%|█████████████████▏ | ETA: 0:00:03 (34.01 ms/it) accuracy/train: 1.0 loss/train: 0.0177     Train Epoch 4: 79%|█████████████████▍ | ETA: 0:00:03 (33.96 ms/it) accuracy/train: 1.0 loss/train: 0.00721     Train Epoch 4: 80%|█████████████████▋ | ETA: 0:00:02 (33.88 ms/it) accuracy/train: 0.992 loss/train: 0.0437     Train Epoch 4: 81%|█████████████████▊ | ETA: 0:00:02 (33.81 ms/it) accuracy/train: 0.992 loss/train: 0.0219     Train Epoch 4: 82%|██████████████████ | ETA: 0:00:02 (33.75 ms/it) accuracy/train: 0.984 loss/train: 0.0371     Train Epoch 4: 83%|██████████████████▎ | ETA: 0:00:02 (33.69 ms/it) accuracy/train: 0.977 loss/train: 0.0814     Train Epoch 4: 84%|██████████████████▍ | ETA: 0:00:02 (33.64 ms/it) accuracy/train: 0.977 loss/train: 0.0745     Train Epoch 4: 85%|██████████████████▋ | ETA: 0:00:02 (33.56 ms/it) accuracy/train: 0.992 loss/train: 0.0138     Train Epoch 4: 86%|██████████████████▉ | ETA: 0:00:02 (33.48 ms/it) accuracy/train: 0.984 loss/train: 0.0655     Train Epoch 4: 86%|███████████████████ | ETA: 0:00:01 (33.45 ms/it) accuracy/train: 1.0 loss/train: 0.0198     Train Epoch 4: 87%|███████████████████▎ | ETA: 0:00:01 (33.38 ms/it) accuracy/train: 0.992 loss/train: 0.0349     Train Epoch 4: 88%|███████████████████▌ | ETA: 0:00:01 (33.34 ms/it) accuracy/train: 0.969 loss/train: 0.0505     Train Epoch 4: 89%|███████████████████▋ | ETA: 0:00:01 (33.28 ms/it) accuracy/train: 0.984 loss/train: 0.0708     Train Epoch 4: 90%|███████████████████▉ | ETA: 0:00:01 (33.29 ms/it) accuracy/train: 0.969 loss/train: 0.0682     Train Epoch 4: 91%|████████████████████ | ETA: 0:00:01 (33.31 ms/it) accuracy/train: 1.0 loss/train: 0.00896     Train Epoch 4: 92%|████████████████████▎ | ETA: 0:00:01 (33.26 ms/it) accuracy/train: 0.992 loss/train: 0.015     Train Epoch 4: 93%|████████████████████▍ | ETA: 0:00:00 (33.21 ms/it) accuracy/train: 1.0 loss/train: 0.0108     Train Epoch 4: 94%|████████████████████▋ | ETA: 0:00:00 (33.17 ms/it) accuracy/train: 0.992 loss/train: 0.0358     Train Epoch 4: 95%|████████████████████▉ | ETA: 0:00:00 (33.12 ms/it) accuracy/train: 0.992 loss/train: 0.0381     Train Epoch 4: 96%|█████████████████████ | ETA: 0:00:00 (33.08 ms/it) accuracy/train: 1.0 loss/train: 0.00302     Train Epoch 4: 97%|█████████████████████▎| ETA: 0:00:00 (33.03 ms/it) accuracy/train: 0.992 loss/train: 0.0175     Train Epoch 4: 98%|█████████████████████▌| ETA: 0:00:00 (32.98 ms/it) accuracy/train: 0.992 loss/train: 0.0175     Train Epoch 4: 99%|█████████████████████▋| ETA: 0:00:00 (32.98 ms/it) accuracy/train: 0.984 loss/train: 0.0213     Train Epoch 4: 100%|█████████████████████▉| ETA: 0:00:00 (32.93 ms/it) accuracy/train: 1.0 loss/train: 0.00293     Train Epoch 4: 100%|██████████████████████| Time: 0:00:13 (32.91 ms/it) accuracy/train: 1.0 loss/train: 0.00403   Val Epoch 4: 34%|████████▏ | ETA: 0:00:00 ( 6.36 ms/it) accuracy/val: 0.979 loss/val: 0.0901        Val Epoch 4: 72%|█████████████████▍ | ETA: 0:00:00 ( 6.15 ms/it) accuracy/val: 0.983 loss/val: 0.0745        Val Epoch 4: 100%|████████████████████████| Time: 0:00:00 ( 6.07 ms/it) accuracy/val: 0.982 loss/val: 0.0703      Train Epoch 5: 1%|▎ | ETA: 0:00:12 (29.20 ms/it) accuracy/train: 1.0 loss/train: 0.0093     Train Epoch 5: 2%|▍ | ETA: 0:00:11 (28.09 ms/it) accuracy/train: 0.992 loss/train: 0.0106     Train Epoch 5: 3%|▋ | ETA: 0:00:11 (28.09 ms/it) accuracy/train: 1.0 loss/train: 0.00432     Train Epoch 5: 4%|▉ | ETA: 0:00:11 (28.23 ms/it) accuracy/train: 0.992 loss/train: 0.0214     Train Epoch 5: 5%|█ | ETA: 0:00:11 (27.94 ms/it) accuracy/train: 1.0 loss/train: 0.00541     Train Epoch 5: 6%|█▎ | ETA: 0:00:11 (27.96 ms/it) accuracy/train: 0.984 loss/train: 0.0416     Train Epoch 5: 7%|█▌ | ETA: 0:00:10 (27.62 ms/it) accuracy/train: 0.992 loss/train: 0.0266     Train Epoch 5: 8%|█▋ | ETA: 0:00:10 (27.67 ms/it) accuracy/train: 1.0 loss/train: 0.00671     Train Epoch 5: 9%|█▉ | ETA: 0:00:10 (27.49 ms/it) accuracy/train: 1.0 loss/train: 0.0114     Train Epoch 5: 9%|██▏ | ETA: 0:00:10 (27.43 ms/it) accuracy/train: 1.0 loss/train: 0.0025     Train Epoch 5: 10%|██▎ | ETA: 0:00:10 (27.54 ms/it) accuracy/train: 1.0 loss/train: 0.00387     Train Epoch 5: 11%|██▌ | ETA: 0:00:10 (27.55 ms/it) accuracy/train: 0.984 loss/train: 0.0231     Train Epoch 5: 12%|██▊ | ETA: 0:00:10 (27.70 ms/it) accuracy/train: 1.0 loss/train: 0.00528     Train Epoch 5: 13%|██▉ | ETA: 0:00:10 (27.68 ms/it) accuracy/train: 1.0 loss/train: 0.0205     Train Epoch 5: 14%|███▏ | ETA: 0:00:10 (27.63 ms/it) accuracy/train: 0.992 loss/train: 0.0264     Train Epoch 5: 15%|███▍ | ETA: 0:00:09 (27.66 ms/it) accuracy/train: 0.992 loss/train: 0.0455     Train Epoch 5: 16%|███▌ | ETA: 0:00:09 (27.67 ms/it) accuracy/train: 0.977 loss/train: 0.0359     Train Epoch 5: 17%|███▊ | ETA: 0:00:09 (27.70 ms/it) accuracy/train: 1.0 loss/train: 0.0145     Train Epoch 5: 18%|████ | ETA: 0:00:09 (27.64 ms/it) accuracy/train: 1.0 loss/train: 0.00336     Train Epoch 5: 19%|████▏ | ETA: 0:00:09 (27.64 ms/it) accuracy/train: 0.992 loss/train: 0.0463     Train Epoch 5: 20%|████▍ | ETA: 0:00:09 (27.67 ms/it) accuracy/train: 0.984 loss/train: 0.0277     Train Epoch 5: 21%|████▋ | ETA: 0:00:09 (27.72 ms/it) accuracy/train: 1.0 loss/train: 0.0112     Train Epoch 5: 22%|████▊ | ETA: 0:00:09 (27.76 ms/it) accuracy/train: 1.0 loss/train: 0.00366     Train Epoch 5: 23%|█████ | ETA: 0:00:09 (27.76 ms/it) accuracy/train: 0.992 loss/train: 0.0101     Train Epoch 5: 24%|█████▎ | ETA: 0:00:08 (27.72 ms/it) accuracy/train: 1.0 loss/train: 0.00875     Train Epoch 5: 25%|█████▍ | ETA: 0:00:08 (27.82 ms/it) accuracy/train: 0.984 loss/train: 0.0263     Train Epoch 5: 26%|█████▋ | ETA: 0:00:08 (27.79 ms/it) accuracy/train: 0.992 loss/train: 0.0249     Train Epoch 5: 27%|█████▉ | ETA: 0:00:10 (34.30 ms/it) accuracy/train: 0.992 loss/train: 0.0167     Train Epoch 5: 27%|██████ | ETA: 0:00:10 (34.05 ms/it) accuracy/train: 1.0 loss/train: 0.0168     Train Epoch 5: 28%|██████▎ | ETA: 0:00:10 (33.82 ms/it) accuracy/train: 1.0 loss/train: 0.00823     Train Epoch 5: 29%|██████▌ | ETA: 0:00:13 (44.91 ms/it) accuracy/train: 1.0 loss/train: 0.00618     Train Epoch 5: 30%|██████▋ | ETA: 0:00:13 (44.36 ms/it) accuracy/train: 1.0 loss/train: 0.00359     Train Epoch 5: 31%|██████▉ | ETA: 0:00:12 (43.80 ms/it) accuracy/train: 1.0 loss/train: 0.00953     Train Epoch 5: 32%|███████▏ | ETA: 0:00:12 (43.28 ms/it) accuracy/train: 1.0 loss/train: 0.0142     Train Epoch 5: 33%|███████▎ | ETA: 0:00:12 (42.84 ms/it) accuracy/train: 1.0 loss/train: 0.0171     Train Epoch 5: 34%|███████▌ | ETA: 0:00:11 (42.36 ms/it) accuracy/train: 1.0 loss/train: 0.00962     Train Epoch 5: 35%|███████▊ | ETA: 0:00:11 (41.94 ms/it) accuracy/train: 1.0 loss/train: 0.00607     Train Epoch 5: 36%|███████▉ | ETA: 0:00:11 (41.50 ms/it) accuracy/train: 1.0 loss/train: 0.0101     Train Epoch 5: 37%|████████▏ | ETA: 0:00:10 (40.97 ms/it) accuracy/train: 0.984 loss/train: 0.0314     Train Epoch 5: 38%|████████▍ | ETA: 0:00:10 (40.58 ms/it) accuracy/train: 0.984 loss/train: 0.0346     Train Epoch 5: 39%|████████▋ | ETA: 0:00:10 (40.22 ms/it) accuracy/train: 1.0 loss/train: 0.00979     Train Epoch 5: 40%|████████▉ | ETA: 0:00:10 (39.77 ms/it) accuracy/train: 1.0 loss/train: 0.0177     Train Epoch 5: 41%|█████████▏ | ETA: 0:00:09 (39.35 ms/it) accuracy/train: 0.992 loss/train: 0.027     Train Epoch 5: 42%|█████████▍ | ETA: 0:00:09 (39.16 ms/it) accuracy/train: 0.992 loss/train: 0.0183     Train Epoch 5: 43%|█████████▌ | ETA: 0:00:09 (38.87 ms/it) accuracy/train: 0.992 loss/train: 0.0269     Train Epoch 5: 44%|█████████▊ | ETA: 0:00:09 (38.61 ms/it) accuracy/train: 0.992 loss/train: 0.0292     Train Epoch 5: 45%|██████████ | ETA: 0:00:08 (38.36 ms/it) accuracy/train: 1.0 loss/train: 0.0101     Train Epoch 5: 46%|██████████▏ | ETA: 0:00:08 (38.12 ms/it) accuracy/train: 0.984 loss/train: 0.0406     Train Epoch 5: 47%|██████████▍ | ETA: 0:00:08 (37.97 ms/it) accuracy/train: 0.992 loss/train: 0.0171     Train Epoch 5: 48%|██████████▋ | ETA: 0:00:08 (37.76 ms/it) accuracy/train: 1.0 loss/train: 0.01     Train Epoch 5: 49%|██████████▊ | ETA: 0:00:08 (37.58 ms/it) accuracy/train: 1.0 loss/train: 0.0125     Train Epoch 5: 50%|███████████ | ETA: 0:00:07 (37.49 ms/it) accuracy/train: 0.992 loss/train: 0.0247     Train Epoch 5: 51%|███████████▎ | ETA: 0:00:07 (37.39 ms/it) accuracy/train: 1.0 loss/train: 0.0129     Train Epoch 5: 52%|███████████▍ | ETA: 0:00:07 (37.28 ms/it) accuracy/train: 1.0 loss/train: 0.00579     Train Epoch 5: 53%|███████████▋ | ETA: 0:00:07 (37.19 ms/it) accuracy/train: 0.992 loss/train: 0.0276     Train Epoch 5: 54%|███████████▉ | ETA: 0:00:07 (37.10 ms/it) accuracy/train: 1.0 loss/train: 0.00654     Train Epoch 5: 55%|████████████ | ETA: 0:00:07 (37.00 ms/it) accuracy/train: 1.0 loss/train: 0.00733     Train Epoch 5: 56%|████████████▎ | ETA: 0:00:06 (36.91 ms/it) accuracy/train: 0.992 loss/train: 0.0357     Train Epoch 5: 57%|████████████▌ | ETA: 0:00:06 (36.84 ms/it) accuracy/train: 0.984 loss/train: 0.0608     Train Epoch 5: 57%|████████████▋ | ETA: 0:00:06 (36.82 ms/it) accuracy/train: 0.992 loss/train: 0.0218     Train Epoch 5: 58%|████████████▉ | ETA: 0:00:06 (36.64 ms/it) accuracy/train: 1.0 loss/train: 0.00273     Train Epoch 5: 59%|█████████████ | ETA: 0:00:06 (36.46 ms/it) accuracy/train: 0.984 loss/train: 0.0705     Train Epoch 5: 60%|█████████████▎ | ETA: 0:00:06 (36.30 ms/it) accuracy/train: 1.0 loss/train: 0.00514     Train Epoch 5: 61%|█████████████▌ | ETA: 0:00:05 (36.16 ms/it) accuracy/train: 1.0 loss/train: 0.00857     Train Epoch 5: 62%|█████████████▋ | ETA: 0:00:05 (36.01 ms/it) accuracy/train: 1.0 loss/train: 0.0069     Train Epoch 5: 63%|█████████████▉ | ETA: 0:00:05 (35.87 ms/it) accuracy/train: 1.0 loss/train: 0.00734     Train Epoch 5: 64%|██████████████▏ | ETA: 0:00:05 (35.74 ms/it) accuracy/train: 0.992 loss/train: 0.0209     Train Epoch 5: 65%|██████████████▎ | ETA: 0:00:05 (35.61 ms/it) accuracy/train: 0.992 loss/train: 0.0159     Train Epoch 5: 66%|██████████████▌ | ETA: 0:00:05 (35.48 ms/it) accuracy/train: 1.0 loss/train: 0.0115     Train Epoch 5: 67%|██████████████▊ | ETA: 0:00:04 (35.50 ms/it) accuracy/train: 0.992 loss/train: 0.015     Train Epoch 5: 68%|██████████████▉ | ETA: 0:00:04 (35.39 ms/it) accuracy/train: 0.977 loss/train: 0.103     Train Epoch 5: 69%|███████████████▏ | ETA: 0:00:04 (35.27 ms/it) accuracy/train: 0.992 loss/train: 0.026     Train Epoch 5: 70%|███████████████▍ | ETA: 0:00:04 (35.16 ms/it) accuracy/train: 1.0 loss/train: 0.016     Train Epoch 5: 71%|███████████████▌ | ETA: 0:00:04 (35.05 ms/it) accuracy/train: 1.0 loss/train: 0.00218     Train Epoch 5: 72%|███████████████▊ | ETA: 0:00:04 (34.95 ms/it) accuracy/train: 0.992 loss/train: 0.0121     Train Epoch 5: 73%|████████████████ | ETA: 0:00:04 (34.85 ms/it) accuracy/train: 1.0 loss/train: 0.00778     Train Epoch 5: 73%|████████████████▏ | ETA: 0:00:03 (34.74 ms/it) accuracy/train: 1.0 loss/train: 0.0112     Train Epoch 5: 74%|████████████████▍ | ETA: 0:00:03 (34.68 ms/it) accuracy/train: 0.992 loss/train: 0.0352     Train Epoch 5: 75%|████████████████▋ | ETA: 0:00:03 (34.58 ms/it) accuracy/train: 0.984 loss/train: 0.0248     Train Epoch 5: 76%|████████████████▊ | ETA: 0:00:03 (34.49 ms/it) accuracy/train: 0.984 loss/train: 0.0554     Train Epoch 5: 77%|█████████████████ | ETA: 0:00:03 (34.41 ms/it) accuracy/train: 0.992 loss/train: 0.0311     Train Epoch 5: 78%|█████████████████▎ | ETA: 0:00:03 (34.33 ms/it) accuracy/train: 1.0 loss/train: 0.00908     Train Epoch 5: 79%|█████████████████▍ | ETA: 0:00:03 (34.24 ms/it) accuracy/train: 0.992 loss/train: 0.0117     Train Epoch 5: 80%|█████████████████▋ | ETA: 0:00:02 (34.18 ms/it) accuracy/train: 0.992 loss/train: 0.0237     Train Epoch 5: 81%|█████████████████▉ | ETA: 0:00:02 (34.10 ms/it) accuracy/train: 0.992 loss/train: 0.0153     Train Epoch 5: 82%|██████████████████ | ETA: 0:00:02 (34.04 ms/it) accuracy/train: 0.992 loss/train: 0.0361     Train Epoch 5: 83%|██████████████████▎ | ETA: 0:00:02 (33.96 ms/it) accuracy/train: 0.992 loss/train: 0.0102     Train Epoch 5: 84%|██████████████████▌ | ETA: 0:00:02 (33.90 ms/it) accuracy/train: 0.984 loss/train: 0.0447     Train Epoch 5: 85%|██████████████████▋ | ETA: 0:00:02 (33.85 ms/it) accuracy/train: 1.0 loss/train: 0.00973     Train Epoch 5: 86%|██████████████████▉ | ETA: 0:00:02 (33.78 ms/it) accuracy/train: 0.992 loss/train: 0.0228     Train Epoch 5: 87%|███████████████████▏ | ETA: 0:00:01 (33.72 ms/it) accuracy/train: 0.984 loss/train: 0.0291     Train Epoch 5: 88%|███████████████████▎ | ETA: 0:00:01 (33.65 ms/it) accuracy/train: 1.0 loss/train: 0.00314     Train Epoch 5: 89%|███████████████████▌ | ETA: 0:00:01 (33.60 ms/it) accuracy/train: 0.992 loss/train: 0.0365     Train Epoch 5: 90%|███████████████████▊ | ETA: 0:00:01 (33.54 ms/it) accuracy/train: 1.0 loss/train: 0.00817     Train Epoch 5: 91%|███████████████████▉ | ETA: 0:00:01 (33.48 ms/it) accuracy/train: 1.0 loss/train: 0.0145     Train Epoch 5: 91%|████████████████████▏ | ETA: 0:00:01 (33.42 ms/it) accuracy/train: 1.0 loss/train: 0.0151     Train Epoch 5: 92%|████████████████████▍ | ETA: 0:00:01 (33.37 ms/it) accuracy/train: 1.0 loss/train: 0.00439     Train Epoch 5: 93%|████████████████████▌ | ETA: 0:00:00 (33.29 ms/it) accuracy/train: 1.0 loss/train: 0.00513     Train Epoch 5: 94%|████████████████████▊ | ETA: 0:00:00 (33.23 ms/it) accuracy/train: 0.992 loss/train: 0.0174     Train Epoch 5: 95%|█████████████████████ | ETA: 0:00:00 (33.16 ms/it) accuracy/train: 1.0 loss/train: 0.00935     Train Epoch 5: 96%|█████████████████████▏| ETA: 0:00:00 (33.13 ms/it) accuracy/train: 1.0 loss/train: 0.00585     Train Epoch 5: 97%|█████████████████████▍| ETA: 0:00:00 (33.08 ms/it) accuracy/train: 0.992 loss/train: 0.0105     Train Epoch 5: 98%|█████████████████████▋| ETA: 0:00:00 (33.02 ms/it) accuracy/train: 1.0 loss/train: 0.00918     Train Epoch 5: 99%|█████████████████████▊| ETA: 0:00:00 (33.00 ms/it) accuracy/train: 1.0 loss/train: 0.00994     Train Epoch 5: 100%|██████████████████████| Time: 0:00:13 (32.94 ms/it) accuracy/train: 0.982 loss/train: 0.0224 Val Epoch 5: 36%|████████▋ | ETA: 0:00:00 ( 5.92 ms/it) accuracy/val: 0.982 loss/val: 0.0812     Val Epoch 5: 74%|█████████████████▉ | ETA: 0:00:00 ( 5.80 ms/it) accuracy/val: 0.981 loss/val: 0.0702     Val Epoch 5: 100%|████████████████████████| Time: 0:00:00 ( 5.75 ms/it) accuracy/val: 0.981 loss/val: 0.0704 Testing: 3%|▊ | ETA: 0:00:10 ( 0.13 s/it) accuracy/test: 0.988 loss/test: 0.0467     Testing: 25%|███████▏ | ETA: 0:00:01 (18.82 ms/it) accuracy/test: 0.973 loss/test: 0.0882     Testing: 46%|████████████▊ | ETA: 0:00:00 (13.73 ms/it) accuracy/test: 0.974 loss/test: 0.0932     Testing: 67%|██████████████████▊ | ETA: 0:00:00 (11.24 ms/it) accuracy/test: 0.977 loss/test: 0.0837     Testing: 89%|████████████████████████▊ | ETA: 0:00:00 ( 9.96 ms/it) accuracy/test: 0.981 loss/test: 0.0678     Testing: 100%|████████████████████████████| Time: 0:00:00 ( 9.43 ms/it) accuracy/test: 0.981 loss/test: 0.0697 Test Summary: | Total Time Examples | 0 5m58.3s Testing Tsunami tests passed Testing completed after 1540.84s PkgEval succeeded after 2194.25s