Issue loading Pycall and HuggingFaceDatasets simultaneously
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- machine-learning
Research direction
Reproduce the crash by loading PyCall and HuggingFaceDatasets together in Julia 1.11.5, using the package environment shown in the issue. Investigate the interaction between these packages and the reported allocator failure; done means both packages load without the malloc error or abort.
Written by the indexing model from the issue text.
Description
I'm getting an error when loading Pycall and HuggingFaceDatasets simultaneously in Julia Version 1.11.5.
julia(59194,0x1ffb40140) malloc: *** error for object 0x166e842b0: pointer being freed was not allocated
julia(59194,0x1ffb40140) malloc: *** set a breakpoint in malloc_error_break to debug
[59194] signal 6: Abort trap: 6
in expression starting at REPL[3]:1
__pthread_kill at /usr/lib/system/libsystem_kernel.dylib (unknown line)
Allocations: 48449096 (Pool: 48442458; Big: 6638); GC: 41
Pkg status
julia> Pkg.status()
Status `~/.julia/environments/v1.11/Project.toml`
[fbb218c0] BSON v0.3.9
[052768ef] CUDA v5.8.2
[35d6a980] ColorSchemes v3.29.0
[5ae59095] Colors v0.13.1
[8f4d0f93] Conda v1.10.2
[b4f34e82] Distances v0.10.12
[31c24e10] Distributions v0.25.120
[24df6009] ExactOptimalTransport v0.2.5
[587475ba] Flux v0.16.4
⌃ [28b8d3ca] GR v0.72.8
[d94b9a45] HuggingFaceDatasets v0.3.4
[916415d5] Images v0.26.2
[98e50ef6] JuliaFormatter v2.1.2
[5ab0869b] KernelDensity v0.6.9
[eb30cadb] MLDatasets v0.7.18
⌃ [b8f27783] MathOptInterface v1.40.2
[6f286f6a] MultivariateStats v0.10.3
[d8a4904e] MutableArithmetics v1.6.4
[872c559c] NNlib v0.9.30
⌃ [7e02d93a] OptimalTransport v0.1.9
[3bd65402] Optimisers v0.4.6
[d96e819e] Parameters v0.12.3
[34689656] ParetoGAN v1.0.0-DEV `~/.julia/dev/ParetoGAN`
[14b8a8f1] PkgTemplates v0.7.55
[f0f68f2c] PlotlyJS v0.18.16
⌃ [91a5bcdd] Plots v1.40.7
[92933f4c] ProgressMeter v1.10.4
[438e738f] PyCall v1.96.4
[295af30f] Revise v3.8.0
[4c63d2b9] StatsFuns v1.5.0
[6dd1b50a] Tulip v0.9.7
⌃ [e88e6eb3] Zygote v0.7.8
[37e2e46d] LinearAlgebra v1.11.0
- Dominant language
- Julia
- Stars
- 38
- Forks
- 1
- Avg merge
- 3h 30m
- Merged PRs (30d)
- 20
Getting set up
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First steps
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