[PyCuda] An error:

[William King]

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Well, after a reboot, plus other misc 'tweaks' I'm no longer getting the
error.

http://documen.tician.de/pycuda/tutorial.html#getting-started

Where you have the "Bonus: Abstracting Away the Complications"

you need to add the line: import numpy

otherwise it wont' find the numpy stuff.

Andreas Klöckner wrote:
> And the PyCUDA version?
> 
> Please keep the list cc'd.
> 
> Andreas
> 
> On Mittwoch 18 März 2009, William King wrote:
>> python dump_properties.py
>> 1 device(s) found.
>> Device #0: GeForce 8600 GT
>>   Compute Capability: 1.1
>>   Total Memory: 261440 KB
>>   CLOCK_RATE: 1242000
>>   GPU_OVERLAP: 1
>>   MAX_BLOCK_DIM_X: 512
>>   MAX_BLOCK_DIM_Y: 512
>>   MAX_BLOCK_DIM_Z: 64
>>   MAX_GRID_DIM_X: 65535
>>   MAX_GRID_DIM_Y: 65535
>>   MAX_GRID_DIM_Z: 1
>>   MAX_PITCH: 262144
>>   MAX_REGISTERS_PER_BLOCK: 8192
>>   MAX_SHARED_MEMORY_PER_BLOCK: 16384
>>   MAX_THREADS_PER_BLOCK: 512
>>   MULTIPROCESSOR_COUNT: 4
>>   TEXTURE_ALIGNMENT: 256
>>   TOTAL_CONSTANT_MEMORY: 65536
>>   WARP_SIZE: 32
>>
>> Andreas Klöckner wrote:
>>> On Mittwoch 18 März 2009, William King wrote:
>>>> I have a Nvidia 8600 GT
>>>>
>>>> http://www.newegg.com/Product/Product.aspx?Item=N82E16814143105
>>>>
>>>>
>>>> python test_driver.py
>>>> ......E........
>>>> ======================================================================
>>>> ERROR: test_mempool (__main__.TestCuda)
>>>> ----------------------------------------------------------------------
>>>> Traceback (most recent call last):
>>>>   File "test_driver.py", line 284, in test_mempool
>>>>     queue.append(pool.allocate(1<<e))
>>>> MemoryError: memory_pool::allocate failed: out of memory - failed to
>>>> free memory for allocation
>>>>
>>>> ----------------------------------------------------------------------
>>>> Ran 15 tests in 8.286s
>>>>
>>>> FAILED (errors=1)
>>> Using what version of PyCUDA? Can you send the output of
>>> 'examples/dump_properties.py'?
>>>
>>> Andreas
> 
> 
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