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).
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My name is Carl and I would like to speed up some code using the GPU with CUDA.
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