Upgrade to julia 1.10 - Githubissues

SciML / SciMLBenchmarks.jl

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

https://docs.sciml.ai/SciMLBenchmarksOutput/stable/

MIT License

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Upgrade to julia 1.10 #830

Open avik-pal opened 9 months ago

avik-pal commented 9 months ago

I tried making the upgrade in https://buildkite.com/julialang/scimlbenchmarks-dot-jl/builds/1979#018cf2d4-85a3-4898-aa0b-323e7e29da01 and https://github.com/SciML/SciMLBenchmarks.jl/pull/827, but everything crashed and burned.

Maybe @staticfloat / @thazhemadam can help?

List of Benchmarks

Ticked ones don't throw error https://buildkite.com/julialang/scimlbenchmarks-dot-jl/builds/1986

[x] NonStiffSDE
[ ] SimpleHandwrittenPDE
[ ] DAE
[ ] HybridJumps
[x] Bayesian Inference
[ ] MultiLanguage
[x] NonlinearProblem (@avik-pal)
[ ] StiffODE
[ ] StiffSDE
[ ] Bio
[ ] ComplicatedPDE
[ ] MethodOfLinesPDE
[ ] PINNErrorVsTime
[ ] Jump
[ ] DynamicalODE
[x] Optimization
[x] IntervalNonlinearProblem (@avik-pal)
[x] StiffDDE
[ ] AdaptiveSDE
[x] LinearSolve
[x] Testing
[ ] PINN Optimisers
[ ] OptimizationFrameworks
[ ] NonStiffBVP (@ErikQQY)
[x] ParameterEstimation
[x] NonStiffDDE
[ ] NonStiffODE
[ ] NBodySimulator

ChrisRackauckas commented 9 months ago

Downloading Julia 1.1 for arch x86_64

Missing a zero?

thazhemadam commented 9 months ago

Looks like the Julia version being installed is 1.1 instead of 1.10. 78518b6 (#827)