Unified executable (for CPU-only, OpenCL and CUDA)

[u3dreal]

OK i copied ..

libnvrtc.dylib and versions
libnvrct-buildins.dylib and versions

in the luxcoreui dir
i renamed my cuda dir

cuda seems enabled but no cuda device found

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[LuxRays][11.197] OpenCL support: enabled
[LuxRays][11.197] OpenCL Platform 0: Apple
[LuxRays][11.198] CUDA support: enabled
[LuxRays][11.198] Device 0 name: Native
[LuxRays][11.198] Device 0 type: NATIVE_THREAD
[LuxRays][11.198] Device 0 compute units: 1
[LuxRays][11.198] Device 0 preferred float vector width: 4
[LuxRays][11.198] Device 0 max allocable memory: 17592186044415MBytes
[LuxRays][11.198] Device 0 max allocable memory block size: 17592186044415MBytes
[LuxRays][11.198] Device 0 has out of core memory support: 0
[LuxRays][11.198] Device 1 name: Intel(R) Core(TM) i7-4850HQ CPU @ 2.30GHz
[LuxRays][11.198] Device 1 type: OPENCL_CPU
[LuxRays][11.198] Device 1 compute units: 8
[LuxRays][11.198] Device 1 preferred float vector width: 4
[LuxRays][11.198] Device 1 max allocable memory: 16384MBytes
[LuxRays][11.198] Device 1 max allocable memory block size: 4096MBytes
[LuxRays][11.198] Device 1 has out of core memory support: 0
[LuxRays][11.198] Device 2 name: Iris Pro
[LuxRays][11.198] Device 2 type: OPENCL_GPU
[LuxRays][11.198] Device 2 compute units: 40
[LuxRays][11.198] Device 2 preferred float vector width: 1
[LuxRays][11.198] Device 2 max allocable memory: 1536MBytes
[LuxRays][11.198] Device 2 max allocable memory block size: 384MBytes
[LuxRays][11.198] Device 2 has out of core memory support: 0
[LuxRays][11.198] Device 3 name: GeForce GT 750M
[LuxRays][11.198] Device 3 type: OPENCL_GPU
[LuxRays][11.198] Device 3 compute units: 2
[LuxRays][11.198] Device 3 preferred float vector width: 1
[LuxRays][11.198] Device 3 max allocable memory: 2048MBytes
[LuxRays][11.198] Device 3 max allocable memory block size: 512MBytes
[LuxRays][11.198] Device 3 has out of core memory support: 0
RenderSession starting error: 
Hardware device selection string has the wrong length, must be 3 instead of 4

Where does lux look for the libs ??

[Dade]

Defining LUXRAYS_DISABLE_CUDA and LUXRAYS_DISABLE_OPENCL seems to have no effect: LuxCoreUI still allows to choose OCL render engines. I'll try to check why this happens.

Yes but it should have no device available at all for the rendering. I guess it could be removed from the menu too.

[Dade]

which files are needed by lux then ??? only the installed driver ?So i will not have to add any .dylib files ?? And no patching That sounds unbelievable
This will make things alot easier ...

One thing is to compile from the source (nothing is required), another thing is to run the generated executable (drivers and DLLs are required).

[Dade]

Where does lux look for the libs ??

CUDA => https://github.com/LuxCoreRender/LuxCor ... w.cpp#L341
NVRTC => https://github.com/LuxCoreRender/LuxCor ... w.cpp#L634
OpenCL => https://github.com/LuxCoreRender/LuxCor ... w.cpp#L167

CUEW and CLEW are the same libraries used by Blender to dynamically load CUDA and OpenCL so if Blender works, Lux should work too however Blender doesn't use NVRTC (so it should be the only reason why Blender works and Lux doesn't).

Indeed, we can add additional paths where to search the DLLs.

[u3dreal]

Does that mean cuda libs were found ?

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[LuxRays][10.703] CUDA support: enabled

[Dade]

Does that mean cuda libs were found ?

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[LuxRays][10.703] CUDA support: enabled

No, it means the code has been compiled with CUDA support. You will have a:

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CUDA support: available

After that line if CUDA has been also found: https://github.com/LuxCoreRender/LuxCor ... t.cpp#L104

[u3dreal]

Does luxcore look in the directory it is in ? or will we have to add that manually .

like @rpath for osx ?

[u3dreal]

cool adding @executable_path makes luxcoreui work ... so i guess i will just add the other paths for the bundle and pyluxcore ... i guess it uses the same paths Wow that makes the compiling on azure really easy ... just copy the libs ...

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[LuxRays][19.683] OpenCL support: enabled
[LuxRays][19.683] OpenCL Platform 0: Apple
[LuxRays][19.683] CUDA support: enabled
[LuxRays][19.683] CUDA support: available
[LuxRays][19.683] CUDA driver version: 10.10
[LuxRays][19.683] CUDA device count: 1
[LuxRays][19.683] Device 0 name: Native
[LuxRays][19.683] Device 0 type: NATIVE_THREAD
[LuxRays][19.683] Device 0 compute units: 1
[LuxRays][19.683] Device 0 preferred float vector width: 4
[LuxRays][19.683] Device 0 max allocable memory: 17592186044415MBytes
[LuxRays][19.683] Device 0 max allocable memory block size: 17592186044415MBytes
[LuxRays][19.683] Device 0 has out of core memory support: 0
[LuxRays][19.683] Device 1 name: Intel(R) Core(TM) i7-4850HQ CPU @ 2.30GHz
[LuxRays][19.683] Device 1 type: OPENCL_CPU
[LuxRays][19.683] Device 1 compute units: 8
[LuxRays][19.683] Device 1 preferred float vector width: 4
[LuxRays][19.683] Device 1 max allocable memory: 16384MBytes
[LuxRays][19.683] Device 1 max allocable memory block size: 4096MBytes
[LuxRays][19.683] Device 1 has out of core memory support: 0
[LuxRays][19.683] Device 2 name: Iris Pro
[LuxRays][19.683] Device 2 type: OPENCL_GPU
[LuxRays][19.683] Device 2 compute units: 40
[LuxRays][19.683] Device 2 preferred float vector width: 1
[LuxRays][19.683] Device 2 max allocable memory: 1536MBytes
[LuxRays][19.683] Device 2 max allocable memory block size: 384MBytes
[LuxRays][19.683] Device 2 has out of core memory support: 0
[LuxRays][19.683] Device 3 name: GeForce GT 750M
[LuxRays][19.683] Device 3 type: OPENCL_GPU
[LuxRays][19.683] Device 3 compute units: 2
[LuxRays][19.683] Device 3 preferred float vector width: 1
[LuxRays][19.683] Device 3 max allocable memory: 2048MBytes
[LuxRays][19.683] Device 3 max allocable memory block size: 512MBytes
[LuxRays][19.683] Device 3 has out of core memory support: 0
[LuxRays][19.683] Device 4 name: GeForce GT 750M
[LuxRays][19.683] Device 4 type: CUDA_GPU
[LuxRays][19.683] Device 4 compute units: 192
[LuxRays][19.683] Device 4 preferred float vector width: 1
[LuxRays][19.683] Device 4 max allocable memory: 2047MBytes
[LuxRays][19.683] Device 4 max allocable memory block size: 17592186044415MBytes
[LuxRays][19.683] Device 4 has out of core memory support: 1

[Dade]

Ok, so it looks like everything is ok, I will merge the branch than we will have to update Azure build process to build only one type of executable.

[Dade]

Ok, so it looks like everything is ok, I will merge the branch

Done.