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* tell llvm the correct types of objects; verify the IR after after modification
* Update src/code_loading.jl
Co-authored-by: Valentin Churavy <vchuravy@users.noreply.github.com>
* use julia's optimizer, enable tests for error handling
* make ManualMemory and StrideArraysCore available on other process
* run optimization twice so that reloc can happen on optimized code
* grab `jl_add_optimization_passes` from `libjulia-codegen` on newer versions
* don't test on windows for now, it's pointless
* remove unnecessary func
* add some comments
* reorganize
* catch an error pathway
Co-authored-by: Valentin Churavy <vchuravy@users.noreply.github.com>
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@@ -50,6 +50,5 @@ This package uses the [GPUCompiler package](https://github.com/JuliaGPU/GPUCompi
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* GC-tracked allocations and global variables do work with `compile`, but the way they are implemented is brittle and can be dangerous. Allocate with care.
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* GC-tracked allocations and global varaibles do *not* work with `compile_executable` (yet).
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* Type unstable code is not yet supported.
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* Throwing errors is not currently supported. In the meantime, consider wrapping possible errors with [ErrorTypes.jl](https://github.com/jakobnissen/ErrorTypes.jl)
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* Doesn't currently work on Windows.
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* If you find any other limitations, let us know. There's probably lots.
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