We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
interactive
code_warntype
As suggested:
Hint: catch this exception as `err` and call `code_typed(err; interactive = true)` to introspect the erronous code with Cthulhu.jl
julia> code_typed(err; interactive = true) ERROR: MethodError: no method matching code_typed_by_type(::Type{Tuple{Base.ExceptionStack, Vararg{Any}}}; interactive::Bool) Closest candidates are: code_typed_by_type(::Type; optimize, debuginfo, world, interp) got unsupported keyword argument "interactive" @ Base reflection.jl:1381 Stacktrace: [1] kwerr(::@NamedTuple{interactive::Bool}, ::Function, ::Type) @ Base .\error.jl:165 [2] #code_typed#25 @ .\reflection.jl:1360 [inlined] [3] code_typed @ .\reflection.jl:1355 [inlined] [4] top-level scope @ REPL[4]:1 [5] top-level scope @ C:\Users\kawcz\.julia\packages\CUDA\htRwP\src\initialization.jl:206
Versioninfo:
julia> versioninfo() Julia Version 1.10.2 Commit bd47eca2c8 (2024-03-01 10:14 UTC) Build Info: Official https://julialang.org/ release Platform Info: OS: Windows (x86_64-w64-mingw32) CPU: 8 × Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz WORD_SIZE: 64 LIBM: libopenlibm LLVM: libLLVM-15.0.7 (ORCJIT, skylake) Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores) julia> CUDA.versioninfo() CUDA runtime 12.3, artifact installation CUDA driver 12.0 Unknown NVIDIA driver CUDA libraries: - CUBLAS: 12.3.4 - CURAND: 10.3.4 - CUFFT: 11.0.12 - CUSOLVER: 11.5.4 - CUSPARSE: 12.2.0 - CUPTI: 21.0.0 - NVML: missing Julia packages: - CUDA: 5.2.0 - CUDA_Driver_jll: 0.7.0+1 - CUDA_Runtime_jll: 0.11.1+0 Toolchain: - Julia: 1.10.2 - LLVM: 15.0.7 1 device: 0: NVIDIA GeForce GTX 1050 (sm_61, 3.263 GiB / 4.000 GiB available)
Is this expected? Or should this issue be moved to CUDA / GPUCompiler?
The text was updated successfully, but these errors were encountered:
No branches or pull requests
As suggested:
Versioninfo:
Is this expected? Or should this issue be moved to CUDA / GPUCompiler?
The text was updated successfully, but these errors were encountered: