Package evaluation of FlashAttentionWrapper on Julia 1.13.0-DEV.935 (f5c55e808c*) started at 2025-07-31T15:31:05.195


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 6.49s


################################################################################
# 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 v4.18.0
  [992eb4ea] + CondaPkg v0.2.29
  [53c2dc0f] + DLPack v0.3.1
  [9a962f9c] + DataAPI v1.16.0
  [e2d170a0] + DataValueInterfaces v1.0.0
  [8d63f2c5] + DispatchDoctor v0.4.26
  [4822a80a] + FlashAttentionWrapper v0.1.0
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.7.1
  [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 v0.9.26
  [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 v1.5.12+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 v1.13.0
  [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 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 v8.15.0+0
  [e37daf67] + LibGit2_jll v1.9.1+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2025.7.15
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [458c3c95] + OpenSSL_jll v3.5.1+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
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 2.59s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...
ERROR: LoadError: The following 1 direct dependency failed to precompile:

FlashAttentionWrapper 

Failed to precompile FlashAttentionWrapper [4822a80a-c2d5-4bbd-b1da-f89b711347c8] to "/home/pkgeval/.julia/compiled/v1.13/FlashAttentionWrapper/jl_RMkiIC" (ProcessExited(1)).
CondaPkg Found dependencies: /home/pkgeval/.julia/packages/PythonCall/avYrV/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_CXKGGt/.CondaPkg
✔ Created /tmp/jl_CXKGGt/.CondaPkg/pixi.toml
    CondaPkg Wrote /tmp/jl_CXKGGt/.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_CXKGGt/.CondaPkg/pixi.toml
thread 'tokio-runtime-worker' panicked at /opt/x86_64-linux-musl/registry/src/index.crates.io-6f17d22bba15001f/tokio-1.43.0/src/runtime/time/entry.rs:568:9:
A Tokio 1.x context was found, but it is being shutdown.
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
thread 'tokio-runtime-worker' panicked at /opt/x86_64-linux-musl/registry/src/index.crates.io-6f17d22bba15001f/tokio-1.43.0/src/runtime/time/entry.rs:568:9:
A Tokio 1.x context was found, but it is being shutdown.
Error: 
  × failed to fetch torchtriton-3.1.0-py312.tar.bz2
  ├─▶ an io error occurred: failed to unpack `/home/pkgeval/.julia/
  │   scratchspaces/992eb4ea-22a4-4c89-a5bb-47a3300528ab/pixi_cache/pkgs/
  │   torchtriton-3.1.0-py312/lib/python3.12/site-packages/triton/backends/
  │   nvidia/bin/nvdisasm`
  ├─▶ failed to unpack `/home/pkgeval/.julia/scratchspaces/992eb4ea-22a4-
  │   4c89-a5bb-47a3300528ab/pixi_cache/pkgs/torchtriton-3.1.0-py312/lib/
  │   python3.12/site-packages/triton/backends/nvidia/bin/nvdisasm`
  ├─▶ failed to unpack `lib/python3.12/site-packages/triton/backends/nvidia/
  │   bin/nvdisasm` into `/home/pkgeval/.julia/scratchspaces/992eb4ea-22a4-
  │   4c89-a5bb-47a3300528ab/pixi_cache/pkgs/torchtriton-3.1.0-py312/lib/
  │   python3.12/site-packages/triton/backends/nvidia/bin/nvdisasm`
  ├─▶ error decoding response body
  ├─▶ request or response body error
  ├─▶ error reading a body from connection
  ╰─▶ stream error received: unexpected internal error encountered

ERROR: LoadError: InitError: failed process: Process(setenv(`/home/pkgeval/.julia/artifacts/cefba4912c2b400756d043a2563ef77a0088866b/bin/pixi install --manifest-path /tmp/jl_CXKGGt/.CondaPkg/pixi.toml`,["PYTHON=", "LANG=C.UTF-8", "PATH=/home/pkgeval/.julia/artifacts/cefba4912c2b400756d043a2563ef77a0088866b/bin:/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin", "JULIA_LOAD_PATH=/tmp/jl_CXKGGt/Project.toml:/home/pkgeval/.julia/environments/v1.13/Project.toml:/opt/julia/share/julia/stdlib/v1.13", "JULIA_NUM_PRECOMPILE_TASKS=1", "JULIA_PKG_PRECOMPILE_AUTO=0", "OPENBLAS_MAIN_FREE=1", "DISPLAY=:1", "HOME=/home/pkgeval", "R_HOME=*", "JULIA_CPU_THREADS=1", "JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "JULIA_NUM_THREADS=1", "PIXI_CACHE_DIR=/home/pkgeval/.julia/scratchspaces/992eb4ea-22a4-4c89-a5bb-47a3300528ab/pixi_cache", "OPENBLAS_NUM_THREADS=1", "CI=true", "JULIA_PKGEVAL=true", "LD_LIBRARY_PATH=/opt/julia/bin/../lib/julia:/opt/julia/bin/../lib", "RATTLER_CACHE_DIR=/home/pkgeval/.julia/scratchspaces/992eb4ea-22a4-4c89-a5bb-47a3300528ab/pixi_cache", "PKGEVAL=true"]), ProcessExited(1)) [1]

Stacktrace:
  [1] pipeline_error
    @ ./process.jl:602 [inlined]
  [2] run(::Cmd; wait::Bool)
    @ Base ./process.jl:517
  [3] run(::Cmd)
    @ Base ./process.jl:514
  [4] _run(io::IO, cmd::Cmd, args::Any; flags::Any)
    @ CondaPkg ~/.julia/packages/CondaPkg/hJuAq/src/resolve.jl:715
  [5] _run(io::IO, cmd::Cmd, args::Any)
    @ CondaPkg ~/.julia/packages/CondaPkg/hJuAq/src/resolve.jl:709
  [6] (::CondaPkg.var"#63#64"{Bool, Base.PipeEndpoint, String, Vector{CondaPkg.PipPkgSpec}, Vector{CondaPkg.PkgSpec}, Vector{CondaPkg.ChannelSpec}})()
    @ CondaPkg ~/.julia/packages/CondaPkg/hJuAq/src/resolve.jl:1000
  [7] cd(f::CondaPkg.var"#63#64"{Bool, Base.PipeEndpoint, String, Vector{CondaPkg.PipPkgSpec}, Vector{CondaPkg.PkgSpec}, Vector{CondaPkg.ChannelSpec}}, dir::String)
    @ Base.Filesystem ./file.jl:112
  [8] resolve(; force::Bool, io::IO, interactive::Bool, dry_run::Bool)
    @ CondaPkg ~/.julia/packages/CondaPkg/hJuAq/src/resolve.jl:940
  [9] resolve()
    @ CondaPkg ~/.julia/packages/CondaPkg/hJuAq/src/resolve.jl:718
 [10] envdir()
    @ CondaPkg ~/.julia/packages/CondaPkg/hJuAq/src/env.jl:70
 [11] init_context()
    @ PythonCall.C ~/.julia/packages/PythonCall/avYrV/src/C/context.jl:63
 [12] __init__()
    @ PythonCall.C ~/.julia/packages/PythonCall/avYrV/src/C/C.jl:23
 [13] run_module_init(mod::Module, i::Int64)
    @ Base ./loading.jl:1417
 [14] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)
    @ Base ./loading.jl:1405
 [15] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool)
    @ Base ./loading.jl:1293
 [16] _include_from_serialized
    @ ./loading.jl:1247 [inlined]
 [17] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})
    @ Base ./loading.jl:2089
 [18] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2602
 [19] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2468
 [20] macro expansion
    @ ./loading.jl:2396 [inlined]
 [21] macro expansion
    @ ./lock.jl:376 [inlined]
 [22] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2360
 [23] require
    @ ./loading.jl:2336 [inlined]
 [24] eval_import_path
    @ ./module.jl:36 [inlined]
 [25] eval_import_path_all(at::Module, path::Expr, keyword::String)
    @ Base ./module.jl:60
 [26] _eval_using(to::Module, path::Expr)
    @ Base ./module.jl:137
 [27] top-level scope
    @ ~/.julia/packages/FlashAttentionWrapper/kDhOX/src/rrule.jl:2
 [28] include(mapexpr::Function, mod::Module, _path::String)
    @ Base ./Base.jl:312
 [29] top-level scope
    @ ~/.julia/packages/FlashAttentionWrapper/kDhOX/src/FlashAttentionWrapper.jl:4
 [30] include(mod::Module, _path::String)
    @ Base ./Base.jl:311
 [31] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
    @ Base ./loading.jl:3002
 [32] top-level scope
    @ stdin:5
 [33] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [34] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2848
 [35] include_string
    @ ./loading.jl:2858 [inlined]
 [36] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:318
 [37] _start()
    @ Base ./client.jl:553
during initialization of module C
in expression starting at /home/pkgeval/.julia/packages/FlashAttentionWrapper/kDhOX/src/rrule.jl:2
in expression starting at /home/pkgeval/.julia/packages/FlashAttentionWrapper/kDhOX/src/FlashAttentionWrapper.jl:1
in expression starting at stdin:
in expression starting at /PkgEval.jl/scripts/precompile.jl:37

Precompilation failed after 239.66s



################################################################################
# Testing
#

     Testing FlashAttentionWrapper
      Status `/tmp/jl_sCKiHi/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 v0.9.31
  [6099a3de] PythonCall v0.9.26
  [e88e6eb3] Zygote v0.7.10
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_sCKiHi/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 v4.18.0
  [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 v0.4.26
  [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 v1.7.1
  [0f8b85d8] JSON3 v1.14.3
  [63c18a36] KernelAbstractions v0.9.38
  [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 v0.9.31
  [5da4648a] NVTX v1.0.1
  [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 v0.9.26
  [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 v1.4.0
  [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 v1.9.14
  [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 v1.5.12+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 v1.13.0
  [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 v0.7.0
  [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 v8.15.0+0
  [e37daf67] LibGit2_jll v1.9.1+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.7.15
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.5.1+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...
Precompiling packages...
Info Given FlashAttentionWrapper was explicitly requested, output will be shown live 
    CondaPkg Found dependencies: /home/pkgeval/.julia/packages/PythonCall/avYrV/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_sCKiHi/.CondaPkg
✔ Created /tmp/jl_sCKiHi/.CondaPkg/pixi.toml
    CondaPkg Wrote /tmp/jl_sCKiHi/.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_sCKiHi/.CondaPkg/pixi.toml
✔ The default environment has been installed.
 555075.0 ms  ✓ FlashAttentionWrapper
  1 dependency successfully precompiled in 556 seconds. 63 already precompiled.
  1 dependency had output during precompilation:
┌ FlashAttentionWrapper
│  [Output was shown above]
└  
/tmp/jl_sCKiHi/.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...
  16367.9 ms  ✓ NNlib
  1 dependency successfully precompiled in 17 seconds. 32 already precompiled.
Precompiling packages...
   2015.3 ms  ✓ SortingAlgorithms
   2903.7 ms  ✓ NVTX
  15186.7 ms  ✓ GPUArrays
  83923.7 ms  ✓ DataFrames
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`.
 138166.4 ms  ✓ CUDA
  38261.4 ms  ✓ Atomix → AtomixCUDAExt
  6 dependencies successfully precompiled in 281 seconds. 98 already precompiled.
  1 dependency had output during precompilation:
┌ CUDA
│  [Output was shown above]
└  
Precompiling packages...
  42452.4 ms  ✓ DLPack → CUDAExt
  1 dependency successfully precompiled in 44 seconds. 105 already precompiled.
Precompiling packages...
  44938.4 ms  ✓ CUDA → ChainRulesCoreExt
  47097.1 ms  ✓ NNlib → NNlibCUDAExt
  2 dependencies successfully precompiled in 93 seconds. 109 already precompiled.
Precompiling packages...
   2845.8 ms  ✓ ZygoteRules
  14318.9 ms  ✓ ForwardDiff
  94738.3 ms  ✓ Zygote
  3 dependencies successfully precompiled in 113 seconds. 63 already precompiled.
Precompiling packages...
   2585.7 ms  ✓ StructArrays → StructArraysStaticArraysExt
  1 dependency successfully precompiled in 3 seconds. 19 already precompiled.
Precompiling packages...
   4198.0 ms  ✓ StructArrays → StructArraysGPUArraysCoreExt
  1 dependency successfully precompiled in 4 seconds. 36 already precompiled.
Precompiling packages...
   4870.3 ms  ✓ NNlib → NNlibSpecialFunctionsExt
  1 dependency successfully precompiled in 5 seconds. 42 already precompiled.
Precompiling packages...
  47678.5 ms  ✓ CUDA → SpecialFunctionsExt
  1 dependency successfully precompiled in 49 seconds. 110 already precompiled.
Precompiling packages...
   5136.2 ms  ✓ NNlib → NNlibForwardDiffExt
   6369.2 ms  ✓ ForwardDiff → ForwardDiffStaticArraysExt
  2 dependencies successfully precompiled in 12 seconds. 48 already precompiled.
Precompiling packages...
  12387.2 ms  ✓ Zygote → ZygoteColorsExt
  1 dependency successfully precompiled in 13 seconds. 71 already precompiled.
     Testing FlashAttentionWrapper tests passed 

Testing completed after 1246.46s

PkgEval succeeded after 1563.51s