I created an issue on github:
https://github.com/Theano/libgpuarray/issues/341
On Thursday, February 2, 2017 at 6:47:01 PM UTC+1, Kiuhnm Mnhuik wrote:
>
> Thank you. Unfortunately, I can't get pygpu to work. I'm on Windows.
> I managed to build the dll with VS2013 and I added it to the path ("where
> gpuarray.dll" finds the file).
> When I run pygpu.test() I get:
>
> EEEEEE
> ======================================================================
> ERROR: Failure: GpuArrayException (Error loading library: -1)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "C:\Users\Kiuhnm\Anaconda3\lib\site-packages\nose\failure.py", line
> 39, in runTest
> raise self.exc_val.with_traceback(self.tb)
> File "C:\Users\Kiuhnm\Anaconda3\lib\site-packages\nose\loader.py", line
> 418, in loadTestsFromName
> addr.filename, addr.module)
> File "C:\Users\Kiuhnm\Anaconda3\lib\site-packages\nose\importer.py",
> line 47, in importFromPath
> return self.importFromDir(dir_path, fqname)
> File "C:\Users\Kiuhnm\Anaconda3\lib\site-packages\nose\importer.py",
> line 94, in importFromDir
> mod = load_module(part_fqname, fh, filename, desc)
> File "C:\Users\Kiuhnm\Anaconda3\lib\imp.py", line 234, in load_module
> return load_source(name, filename, file)
> File "C:\Users\Kiuhnm\Anaconda3\lib\imp.py", line 172, in load_source
> module = _load(spec)
> File "<frozen importlib._bootstrap>", line 693, in _load
> File "<frozen importlib._bootstrap>", line 673, in _load_unlocked
> File "<frozen importlib._bootstrap_external>", line 665, in exec_module
> File "<frozen importlib._bootstrap>", line 222, in
> _call_with_frames_removed
> File
> "C:\Users\Kiuhnm\Anaconda3\lib\site-packages\pygpu-0.6.0-py3.5-win-amd64.egg\pygpu\tests\test_blas.py",
>
> line 5, in <module>
> from .support import (guard_devsup, gen_gpuarray, context)
> File
> "C:\Users\Kiuhnm\Anaconda3\lib\site-packages\pygpu-0.6.0-py3.5-win-amd64.egg\pygpu\tests\support.py",
>
> line 32, in <module>
> context = gpuarray.init(get_env_dev())
> File "pygpu\gpuarray.pyx", line 614, in pygpu.gpuarray.init
> (pygpu/gpuarray.c:9220)
> File "pygpu\gpuarray.pyx", line 566, in pygpu.gpuarray.pygpu_init
> (pygpu/gpuarray.c:8911)
> File "pygpu\gpuarray.pyx", line 1021, in
> pygpu.gpuarray.GpuContext.__cinit__ (pygpu/gpuarray.c:13273)
> pygpu.gpuarray.GpuArrayException: Error loading library: -1
>
> etc...
>
> Any idea what I'm doing wrong?
>
>
> On Thursday, February 2, 2017 at 3:27:19 PM UTC+1, nouiz wrote:
>>
>> Hi,
>>
>> the current/old GPU back-end only support float32. You can cast
>> comparison to float32 and the elemwise fusion will fuse them and make them
>> executable on the GPU with high probability.
>>
>> But the 100% sure way to have this working is to use the new gpu back-end
>> that support more dtype then float32:
>>
>>
>> https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29
>>
>> So it won't request the cast to float32.
>>
>> Fred
>>
>> On Thu, Feb 2, 2017 at 8:26 AM, Kiuhnm Mnhuik <[email protected]> wrote:
>>
>>> Every time I use T.eq or '<', my data is moved to the CPU. Am I missing
>>> something?
>>>
>>> I'm working on big tensors (millions of elements) so I need to perform
>>> *all* the computations on the GPU.
>>>
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>>
>>
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