JuliaAcademy / JuliaAcademy/JuliaTutorials
Metalhead IJulia notebook broken
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Description
@xorJane
vgg = VGG19()
gives an error
EOFError: read end of file
Stacktrace:
[1] read(s::IOStream, #unused#::Type{UInt8})
@ Base ./iostream.jl:399
[2] read
@ ./Enums.jl:22 [inlined]
[3] parse_doc(io::IOStream)
@ BSON ~/.julia/packages/BSON/XAts7/src/read.jl:51
[4] parse_tag(io::IOStream, tag::BSON.BSONType)
@ BSON ~/.julia/packages/BSON/XAts7/src/read.jl:15
[5] parse_doc(io::IOStream)
@ BSON ~/.julia/packages/BSON/XAts7/src/read.jl:53
[6] parse
@ ~/.julia/packages/BSON/XAts7/src/read.jl:101 [inlined]
[7] open(f::typeof(BSON.parse), args::String; kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ Base ./io.jl:330
[8] open
@ ./io.jl:328 [inlined]
[9] parse
@ ~/.julia/packages/BSON/XAts7/src/read.jl:102 [inlined]
[10] load
@ ~/.julia/packages/BSON/XAts7/src/read.jl:104 [inlined]
[11] weights(name::String)
@ Metalhead ~/.julia/packages/Metalhead/qsJ7m/src/utils.jl:21
[12] vgg19_layers()
@ Metalhead ~/.julia/packages/Metalhead/qsJ7m/src/vgg19.jl:2
[13] VGG19()
@ Metalhead ~/.julia/packages/Metalhead/qsJ7m/src/vgg19.jl:39
[14] top-level scope
@ In[5]:1
[15] eval
@ ./boot.jl:360 [inlined]
[16] include_string(mapexpr::typeof(REPL.softscope), mod::Module, code::String, filename::String)
@ Base ./loading.jl:1090
on Julia 1.6beta with Metalhead 0.5.1
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce VGG19() in the affected IJulia notebook using Julia 1.6beta and Metalhead 0.5.1. Start with the weights call in utils.jl and the VGG19 paths shown in vgg19.jl; done means constructing VGG19 no longer raises the reported EOFError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, jupyter-notebook
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100