Package evaluation of FlashAttentionWrapper on Julia 1.13.0-DEV.791 (d5209bd37d*) started at 2025-07-04T12:56:13.119 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.72s ################################################################################ # Installation # Installing FlashAttentionWrapper... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [4822a80a] + FlashAttentionWrapper v0.1.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [ab4f0b2a] + BFloat16s v0.5.1 [d360d2e6] + ChainRulesCore v1.25.2 [34da2185] + Compat v4.17.0 [992eb4ea] + CondaPkg v0.2.29 [53c2dc0f] + DLPack v0.3.1 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 [8d63f2c5] + DispatchDoctor v0.4.23 [4822a80a] + FlashAttentionWrapper v0.1.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [0f8b85d8] + JSON3 v1.14.3 [bb33d45b] + LuxCore v1.2.6 [1914dd2f] + MacroTools v0.5.16 [0b3b1443] + MicroMamba v0.1.14 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [fa939f87] + Pidfile v1.3.0 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [6099a3de] + PythonCall v0.9.25 [ae029012] + Requires v1.3.1 [6c6a2e73] + Scratch v1.3.0 [856f2bd8] + StructTypes v1.11.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [e17b2a0c] + UnsafePointers v1.0.0 [f8abcde7] + micromamba_jll v1.5.8+0 [4d7b5844] + pixi_jll v0.41.3+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [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 v0.7.0 [9e88b42a] + Serialization v1.11.0 [f489334b] + StyledStrings v1.11.0 [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 v8.14.1+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.5.0+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Installation completed after 3.33s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 486.64s ################################################################################ # Testing # Testing FlashAttentionWrapper Status `/tmp/jl_NNDEoD/Project.toml` [052768ef] CUDA v5.8.2 [d360d2e6] ChainRulesCore v1.25.2 [992eb4ea] CondaPkg v0.2.29 [53c2dc0f] DLPack v0.3.1 [4822a80a] FlashAttentionWrapper v0.1.0 [bb33d45b] LuxCore v1.2.6 [872c559c] NNlib v0.9.30 [6099a3de] PythonCall v0.9.25 [e88e6eb3] Zygote v0.7.10 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_NNDEoD/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [79e6a3ab] Adapt v4.3.0 [a9b6321e] Atomix v1.1.1 [ab4f0b2a] BFloat16s v0.5.1 [fa961155] CEnum v0.5.0 [052768ef] CUDA v5.8.2 [1af6417a] CUDA_Runtime_Discovery v0.3.5 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.25.2 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.17.0 [992eb4ea] CondaPkg v0.2.29 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [53c2dc0f] DLPack v0.3.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [8d63f2c5] DispatchDoctor v0.4.23 [ffbed154] DocStringExtensions v0.9.5 [e2ba6199] ExprTools v0.1.10 [1a297f60] FillArrays v1.13.0 [53c48c17] FixedPointNumbers v0.8.5 [4822a80a] FlashAttentionWrapper v0.1.0 [f6369f11] ForwardDiff v1.0.1 [0c68f7d7] GPUArrays v11.2.3 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.6.1 [096a3bc2] GPUToolbox v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [7869d1d1] IRTools v0.4.15 [842dd82b] InlineStrings v1.4.4 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [0f8b85d8] JSON3 v1.14.3 [63c18a36] KernelAbstractions v0.9.36 [929cbde3] LLVM v9.4.2 [8b046642] LLVMLoopInfo v1.0.0 [b964fa9f] LaTeXStrings v1.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 [bb33d45b] LuxCore v1.2.6 [1914dd2f] MacroTools v0.5.16 [0b3b1443] MicroMamba v0.1.14 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.30 [5da4648a] NVTX v1.0.0 [77ba4419] NaNMath v1.1.3 [bac558e1] OrderedCollections v1.8.1 [69de0a69] Parsers v2.8.3 [fa939f87] Pidfile v1.3.0 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [6099a3de] PythonCall v0.9.25 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [c1ae055f] RealDot v0.1.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [7e506255] ScopedValues v1.3.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.8 [a2af1166] SortingAlgorithms v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.1 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.1 [856f2bd8] StructTypes v1.11.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [e689c965] Tracy v0.1.5 [013be700] UnsafeAtomics v0.3.0 [e17b2a0c] UnsafePointers v1.0.0 [e88e6eb3] Zygote v0.7.10 [700de1a5] ZygoteRules v0.2.7 ⌅ [4ee394cb] CUDA_Driver_jll v0.13.1+0 ⌅ [76a88914] CUDA_Runtime_jll v0.17.1+0 [9c1d0b0a] JuliaNVTXCallbacks_jll v0.2.1+0 [dad2f222] LLVMExtra_jll v0.0.37+2 [ad6e5548] LibTracyClient_jll v0.9.1+6 [e98f9f5b] NVTX_jll v3.2.1+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [1e29f10c] demumble_jll v1.3.0+0 [f8abcde7] micromamba_jll v1.5.8+0 [4d7b5844] pixi_jll v0.41.3+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 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 v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [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 v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [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 v8.14.1+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.0+0 [efcefdf7] PCRE2_jll v10.45.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... CondaPkg Found dependencies: /home/pkgeval/.julia/packages/PythonCall/L4cjh/CondaPkg.toml CondaPkg Found dependencies: /home/pkgeval/.julia/packages/FlashAttentionWrapper/kDhOX/CondaPkg.toml CondaPkg Resolving changes + openssl + python + pytorch CondaPkg Initialising pixi │ /home/pkgeval/.julia/artifacts/cefba4912c2b400756d043a2563ef77a0088866b/bin/pixi │ init │ --format pixi └ /tmp/jl_NNDEoD/.CondaPkg ✔ Created /tmp/jl_NNDEoD/.CondaPkg/pixi.toml CondaPkg Wrote /tmp/jl_NNDEoD/.CondaPkg/pixi.toml │ [dependencies] │ openssl = ">=3, <3.6" │ │ [dependencies.python] │ build = "*cpython*" │ channel = "conda-forge" │ version = ">=3.8,<4" │ │ [dependencies.pytorch] │ channel = "pytorch" │ version = "*" │ │ [project] │ description = "automatically generated by CondaPkg.jl" │ name = ".CondaPkg" │ channel-priority = "strict" │ platforms = ["linux-64"] └ channels = ["conda-forge", "pytorch"] CondaPkg Installing packages │ /home/pkgeval/.julia/artifacts/cefba4912c2b400756d043a2563ef77a0088866b/bin/pixi │ install └ --manifest-path /tmp/jl_NNDEoD/.CondaPkg/pixi.toml ✔ The default environment has been installed. /tmp/jl_NNDEoD/.CondaPkg/.pixi/envs/default/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:295: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /opt/conda/conda-bld/pytorch_1729647378361/work/torch/csrc/utils/tensor_numpy.cpp:84.) cpu = _conversion_method_template(device=torch.device("cpu")) ┌ Error: Python packages [torch and/or flash_attn_2_cuda] not found. Please install the dependencies by running FlashAttentionWrapper.install() and restart the REPL └ @ FlashAttentionWrapper ~/.julia/packages/FlashAttentionWrapper/kDhOX/src/FlashAttentionWrapper.jl:11 Precompiling packages... 15703.2 ms ✓ GPUArrays Info Given CUDA was explicitly requested, output will be shown live  WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "Int" refers to `Base.Int`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function Int end`.  Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "UInt" refers to `Base.UInt`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function UInt end`.  Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function BroadcastStyle end`.  Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. WARNING: Constructor for type "CuArray" was extended in `CUBLAS` without explicit qualification or import.  NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuArray end`.  Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. WARNING: Constructor for type "SparseVector" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "SparseVector" refers to `SparseArrays.SparseVector`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function SparseVector end`.  Hint: To silence the warning, qualify `SparseVector` as `SparseArrays.SparseVector` in the method signature or explicitly `import SparseArrays: SparseVector`. WARNING: Constructor for type "SparseMatrixCSC" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "SparseMatrixCSC" refers to `SparseArrays.SparseMatrixCSC`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function SparseMatrixCSC end`.  Hint: To silence the warning, qualify `SparseMatrixCSC` as `SparseArrays.SparseMatrixCSC` in the method signature or explicitly `import SparseArrays: SparseMatrixCSC`. WARNING: Constructor for type "CuVector" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "CuVector" refers to `CUDA.CuVector`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuVector end`.  Hint: To silence the warning, qualify `CuVector` as `CUDA.CuVector` in the method signature or explicitly `import CUDA: CuVector`. WARNING: Constructor for type "CuMatrix" was extended in `CUSOLVER` without explicit qualification or import.  NOTE: Assumed "CuMatrix" refers to `CUDA.CuMatrix`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuMatrix end`.  Hint: To silence the warning, qualify `CuMatrix` as `CUDA.CuMatrix` in the method signature or explicitly `import CUDA: CuMatrix`. WARNING: Constructor for type "CuArray" was extended in `CUSOLVER` without explicit qualification or import.  NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuArray end`.  Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. 248498.5 ms ✓ CUDA 28020.4 ms ✓ Atomix → AtomixCUDAExt 3 dependencies successfully precompiled in 293 seconds. 101 already precompiled. 1 dependency had output during precompilation: ┌ CUDA │ [Output was shown above] └ Precompiling packages... 23179.2 ms ✓ DLPack → CUDAExt 1 dependency successfully precompiled in 24 seconds. 105 already precompiled. Precompiling packages... 21974.8 ms ✓ CUDA → ChainRulesCoreExt 32373.3 ms ✓ NNlib → NNlibCUDAExt 2 dependencies successfully precompiled in 55 seconds. 109 already precompiled. Precompiling packages... 18725.8 ms ✓ ChainRules 106789.3 ms ✓ Zygote 2 dependencies successfully precompiled in 126 seconds. 64 already precompiled. Precompiling packages... 4234.8 ms ✓ StructArrays → StructArraysGPUArraysCoreExt 1 dependency successfully precompiled in 5 seconds. 36 already precompiled. Precompiling packages... 4700.6 ms ✓ NNlib → NNlibSpecialFunctionsExt 1 dependency successfully precompiled in 5 seconds. 42 already precompiled. Precompiling packages... 46623.0 ms ✓ CUDA → SpecialFunctionsExt 1 dependency successfully precompiled in 48 seconds. 110 already precompiled. Precompiling packages... 5439.8 ms ✓ NNlib → NNlibForwardDiffExt 1 dependency successfully precompiled in 6 seconds. 49 already precompiled. Precompiling packages... 11300.4 ms ✓ Zygote → ZygoteColorsExt 1 dependency successfully precompiled in 12 seconds. 71 already precompiled. Testing FlashAttentionWrapper tests passed Testing completed after 695.67s PkgEval succeeded after 1314.27s