detect_edges() BoundsError: attempt to access 16-element Vector{Matrix{Float64}} at index [17]
Opened this issue · 3 comments
Hello,
I encountered an error while attempting to use the detect_edges()
function on FashionMNIST images.
Here's a test case:
using MLDatasets: FashionMNIST
using ImageEdgeDetection: Canny, detect_edges
x_train = [xy.features for xy in FashionMNIST(:train)]
for x in x_train
println(size(x))
detect_edges(x, Canny(spatial_scale=3))
end
The result:
(28, 28)
(28, 28)
(28, 28)
ERROR: LoadError: TaskFailedException
nested task error: BoundsError: attempt to access 16-element Vector{Matrix{Float64}} at index [17]
Thank you, I'll try to look into this in the coming days.
I can't reproduce your error. Running the code snippet you posted works just fine, regardless of whether I launch Julia with a single or multiple threads.
Can you confirm you are getting this error for the exact same snippet you just posted? I'm surprised you are getting a TaskFailedException
when you are not spawning a task.
Please could you post your Julia version (via versioninfo()
), the number of threads you started Julia with (by typing using Base.Threads
followed by nthreads()
as well as the output of ] st
in the Julia environment in which you are running into this error.
Well, you a right. It looks like problem in interactive threads:
$ julia --project=. -O3 -t 32,1 test.jl
Julia Version 1.10.2
Commit bd47eca2c8a (2024-03-01 10:14 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 32 × AMD Ryzen 9 7950X3D 16-Core Processor
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-15.0.7 (ORCJIT, znver3)
Threads: 32 default, 1 interactive, 16 GC (on 32 virtual cores)
nothing
(28, 28)
(28, 28)
(28, 28)
(28, 28)
(28, 28)
(28, 28)
(28, 28)
(28, 28)
(28, 28)
(28, 28)
(28, 28)
(28, 28)
ERROR: LoadError: TaskFailedException
nested task error: BoundsError: attempt to access 32-element Vector{Matrix{Float64}} at index [33]
Stacktrace:
However,
julia --project=. -O3 -t 32 test.jl
works fine.