What surprises me is to get seg faults in the theano function, while I
would have expected them to occur during evaluation on values...
On Wednesday, July 12, 2017 at 10:05:30 AM UTC+2, Christopher Bourez wrote:
>
> A second thing that is not clear to me in the documentation of Theano is
> how you specify a C implementation and GPU implementation of the same own
> op. Thank you
>
> On Wednesday, July 12, 2017 at 9:58:34 AM UTC+2, Christopher Bourez wrote:
>>
>> I've also tried to create an example with theano.gpuarray.nnet.GpuSoftmax
>> but after compilation it got replaced another implementation*GpuDnnSoftmax
>> : *
>>
>>
>> *Elemwise{mul,no_inplace} [id A] '' |HostFromGpu(gpuarray) [id B] ''
>> | |GpuSoftmax [id C] '' | |GpuFromHost<dev0> [id D] '' | |x
>> [id E] |InplaceDimShuffle{x,x} [id F] '' |TensorConstant{2} [id
>> G]CompilingHostFromGpu(gpuarray) [id A] '' 5 |GpuElemwise{Mul}[(0,
>> 1)]<gpuarray> [id B] '' 4 |GpuArrayConstant{[[ 2.]]} [id C]
>> |InplaceGpuDimShuffle{0,1} [id D] '' 3
>> |GpuDnnSoftmax{mode='channel', algo='accurate'} [id E] '' 2
>> |GpuContiguous [id F] '' 1 |InplaceGpuDimShuffle{0,1,x,x} [id G]
>> '' 0 |<GpuArrayType<dev0>(float32, (False, False))> [id H]*I'm
>> looking of a good example with a GPU Kernel.
>>
>> On Wednesday, July 12, 2017 at 9:56:08 AM UTC+2, Christopher Bourez wrote:
>>>
>>> I don't know what you mean by "not modifying" the source for GpuEye:
>>> - In this example, I'm importing a not modifyed GpuEye op from Theano
>>> basic ops
>>> - If I'm using theano.tensor.eye, then it does not use the GpuEye
>>>
>>> Also, are you sure this test
>>>
>>> https://github.com/Theano/Theano/blob/2625464534147fd70da60a3a3ddcb63ed8e5a416/theano/gpuarray/tests/test_basic_ops.py#L401
>>> works well ?
>>>
>>> On Wednesday, July 12, 2017 at 2:48:44 AM UTC+2, Pascal Lamblin wrote:
>>>>
>>>> Does it work if you do not modify the source for GpuEye at all?
>>>> If it does, then maybe sharing your new source would get you more help.
>>>>
>>>> On Tuesday, July 11, 2017 at 12:12:03 PM UTC-4, Christopher Bourez
>>>> wrote:
>>>>>
>>>>> Hi,
>>>>>
>>>>> I'm trying to implement a simple GPU op but it always gives me a
>>>>> Segmentation fault during compilation, without other message.
>>>>>
>>>>> For example :
>>>>> import theano
>>>>> from theano.gpuarray.basic_ops import GpuEye
>>>>>
>>>>> x = theano.tensor.iscalar('x')
>>>>> y = theano.tensor.iscalar('y')
>>>>> z = GpuEye(dtype='float32', context_name=None)(x,y,
>>>>> theano.tensor.constant(0))
>>>>>
>>>>> theano.printing.debugprint(z)
>>>>> print("Compiling")
>>>>> f = theano.function( [x,y], z)
>>>>> theano.printing.debugprint(f)
>>>>> print("Results")
>>>>> print(f(3, 3))
>>>>>
>>>>> I've also tried with the softmax gpu function. Is there something I'm
>>>>> missing ?
>>>>>
>>>>> I copied the file, created a complete new op, and the segmentation
>>>>> fault appears when I'm defining a Kernel in gpu_kernels() method of the
>>>>> op.
>>>>>
>>>>> Thank you a lot for your help
>>>>>
>>>>
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