Hi All - I recently upgraded to CUDA 3.2 RC, and pulled PyCUDA from git, on my Mac OS X installation (running a 32 bit Python 2.6). For some reason, trying to create a GPUArray, using pycuda.tools.DeviceMemoryPool.allocate as the allocator, causes an error. Creating the same GPUArray, using the default allocator, seems to work fine. Before upgrading CUDA and PyCUDA, creating GPUArrays with the memory pool worked for me.
I've attached a minimal program with this problem. Has anyone else seen this
error?
- bryan
Traceback (most recent call last):
File "invalid_context.py", line 10, in <module>
failure = pycuda.gpuarray.GPUArray((10,), numpy.int32, allocator.allocate)
File
"/Users/catanzar/work/pycuda/build/lib.macosx-10.6-i386-2.6/pycuda/gpuarray.py",
line 81, in __init__
self.gpudata = self.allocator(self.size * self.dtype.itemsize)
pycuda._driver.LogicError: cuMemAlloc failed: invalid context
import pycuda import pycuda.tools import pycuda.gpuarray import pycuda.autoinit import numpy success = pycuda.gpuarray.GPUArray((10,), numpy.int32) allocator = pycuda.tools.DeviceMemoryPool() failure = pycuda.gpuarray.GPUArray((10,), numpy.int32, allocator.allocate)
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