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Unverified Commit 9ad813b4 authored by Thomas Müller's avatar Thomas Müller Committed by GitHub
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Update README.md

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......@@ -152,12 +152,12 @@ If you cannot find it there, please feel free to [open an issue](https://github.
| Problem | Resolution |
|---------|------------|
| __CMake error:__ No CUDA toolset found / CUDA_ARCHITECTURES is empty for target "cmTC_0c70f" | __Windows:__ the Visual Studio CUDA integration was not installed correctly. Follow [these instructions](https://github.com/mitsuba-renderer/mitsuba2/issues/103#issuecomment-618378963) to fix the problem without re-installing CUDA. (#18) |
| | __Linux:__ Environment variables for your CUDA installation are probably incorrectly set. You may work around the issue using ```cmake . -B build -DCMAKE_CUDA_COMPILER=/usr/local/cuda-<your cuda version>/bin/nvcc``` (#28) |
| __CMake error:__ No known features for CXX compiler "MSVC" | Reinstall Visual Studio & make sure you run CMake from a developer shell. (#21) |
| __Compile error:__ undefined references to "cudaGraphExecUpdate" / identifier "cublasSetWorkspace" is undefined | Update your CUDA installation (which is likely 11.0) to 11.3 or higher. (#34 #41 #42) |
| __Compile error:__ too few arguments in function call | Update submodules with the above two `git` commands. (#37 #52) |
| __Python error:__ No module named 'pyngp' | It is likely that CMake did not detect your Python installation and therefore did not build `pyngp`. Check CMake logs to verify this. If `pyngp` was built in a different folder than `instant-ngp/build`, Python will be unable to detect it and you have to supply the full path to the import statement. |
| __CMake error:__ No CUDA toolset found / CUDA_ARCHITECTURES is empty for target "cmTC_0c70f" | __Windows:__ the Visual Studio CUDA integration was not installed correctly. Follow [these instructions](https://github.com/mitsuba-renderer/mitsuba2/issues/103#issuecomment-618378963) to fix the problem without re-installing CUDA. ([#18](https://github.com/NVlabs/instant-ngp/issues/18)) |
| | __Linux:__ Environment variables for your CUDA installation are probably incorrectly set. You may work around the issue using ```cmake . -B build -DCMAKE_CUDA_COMPILER=/usr/local/cuda-<your cuda version>/bin/nvcc``` ([#28](https://github.com/NVlabs/instant-ngp/issues/28)) |
| __CMake error:__ No known features for CXX compiler "MSVC" | Reinstall Visual Studio & make sure you run CMake from a developer shell. ([#21](https://github.com/NVlabs/instant-ngp/issues/21)) |
| __Compile error:__ undefined references to "cudaGraphExecUpdate" / identifier "cublasSetWorkspace" is undefined | Update your CUDA installation (which is likely 11.0) to 11.3 or higher. ([#34](https://github.com/NVlabs/instant-ngp/issues/34) [#41](https://github.com/NVlabs/instant-ngp/issues/41) [#42](https://github.com/NVlabs/instant-ngp/issues/42)) |
| __Compile error:__ too few arguments in function call | Update submodules with the above two `git` commands. ([#37](https://github.com/NVlabs/instant-ngp/issues/37) [#52](https://github.com/NVlabs/instant-ngp/issues/52)) |
| __Python error:__ No module named 'pyngp' | It is likely that CMake did not detect your Python installation and therefore did not build `pyngp`. Check CMake logs to verify this. If `pyngp` was built in a different folder than `instant-ngp/build`, Python will be unable to detect it and you have to supply the full path to the import statement. ([#43](https://github.com/NVlabs/instant-ngp/issues/43)) |
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