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I’m now using CUDA Driver 9.0.214 (I tried 9.0.197, and it had the same result).
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I am having the same problem with CUDA when I was trying to do MATLAB GPU tasks – and it really was frustrating.Ĭoincidentally, I’m using exactly the same model of MacBook Pro as yours. Nvcc fatal : The version (‘90000’) of the host compiler (‘Apple clang’) is not supported Developer/NVIDIA/CUDA-9.0/bin/nvcc -ccbin clang++ -I…/…/common/inc -m64 -Xcompiler -arch -Xcompiler x86_64 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_60,code=compute_60 -o vectorAdd.o -c vectorAdd.cu Here is another error.Ĭarls-MacBook-Pro:samples Carl$ make -C 0_Simple/vectorAdd
In the end they ask for running sample code.
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Then it says I need to download and install the CUDA driver and the CUDA toolkit, which i did.Then they ask for xcode using the clang compiler, which seems to be the default compiler for xcode versions 4.2 and above. It says that before considering CUDA I need to verify that my GPU is supported, which is positive. The install guide you listed doesn’t show anything about a relation between GPU driver and CUDA support.
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Since the GPU driver doesn’t support CUDA9, is there a list of CUDA versions supported by that driver? Or maybe any chance for new drivers? This seems to be non trivial for the Mac System. CudaDriverError: CUDA initialized before forking Raise CudaDriverError(“CUDA initialized before forking”) Return self.push_context(self.gpus)įile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/cudadrv/devices.py”, line 40, in getitemįile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/cudadrv/devices.py”, line 26, in getattrįile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/cudadrv/driver.py”, line 334, in get_device_countįile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/cudadrv/driver.py”, line 268, in getattrįile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/cudadrv/driver.py”, line 225, in initializeįile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/cudadrv/driver.py”, line 288, in safe_cuda_api_callįile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/cudadrv/driver.py”, line 322, in _check_error Return _runtime.get_or_create_context(devnum)įile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/cudadrv/devices.py”, line 162, in get_or_create_context
Return cuda.to_device(hostary, stream=stream)įile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/cudadrv/devices.py”, line 211, in _require_cuda_contextįile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/cudadrv/devices.py”, line 194, in get_context Return CUDAUFuncMechanism.call(self.functions, args, kws)įile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/npyufunc/deviceufunc.py”, line 290, in callįile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/dispatcher.py”, line 203, in to_device Print("VectorAdd took for % seconds" % vector_add_time)įile “/Users/Carl/Library/Mobile Documents/com~apple~CloudDocs/Mastersthesis/exampleScript.py”, line 26, inįile “/Users/Carl/Library/Mobile Documents/com~apple~CloudDocs/Mastersthesis/exampleScript.py”, line 17, in mainįile “/Users/Carl/anaconda3/lib/python3.6/site-packages/numba/cuda/dispatcher.py”, line 88, in call I will list all useful information at the bottom of this post.ĬUDA Driver: 9.0.197 (not the newest since the support told me explicitly to try this older version)įull code, which is throwing the error: import numpy as npįrom numba import vectorize, float32)'], target='cuda') Apple doesn’t provide CUDA support and now im here. They say this must be an apple related problem. But it is, I’ve verified that.Ĭontacting the nvidia support doesn’t help. Last line of the error says: .CudaDriverError: CUDA initialized before forking, which is an error telling me that my device is not supported. Unfortunately the example code, which is adding two vectors is not working. Today I downloaded the newest CUDA driver, since my GPU is listed as a CUDA supported GPU. I’m coding with Python 3.6, having the latest version of numba (with the latest anaconda package).
#Locate c drive nvidia geforce now mac code
My name is Carl and I would like to speed up some code using the GPU with CUDA.
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