Hi,
This error that I reported was solved using the
flag optimizer_excluding=fusion. However, when I try to use multiple GPUs,
I get this error
ERROR (theano.gof.opt): Optimization failure due to:
LocalOptGroup(local_abstractconv_cudnn,local_abstractconv_gw_cudnn,local_abstractconv_gi_cudnn,local_abstractconv_gemm,local_abstractconv3d_gemm,local_abstractconv_gradweights_gemm,local_abstractconv3d_gradweights_gemm,local_abstractconv_gradinputs_gemm,local_abstractconv3d_gradinputs_gemm)
ERROR (theano.gof.opt): node: AbstractConv2d{convdim=2, border_mode=(4, 3),
subsample=(1, 1), filter_flip=False, imshp=(None, None, None, None),
kshp=(None, None, None, None), filter_dilation=(1, 1)}(X,
CIFAR10.pixelCNN.pxCNN.vstack1.filter)
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File
"/home/akshat/anaconda2/envs/ramana-test/lib/python2.7/site-packages/theano/gof/opt.py",
line 1982, in process_node
replacements = lopt.transform(node)
File
"/home/akshat/anaconda2/envs/ramana-test/lib/python2.7/site-packages/theano/gof/opt.py",
line 1335, in transform
new_repl = opt.transform(node)
File
"/home/akshat/anaconda2/envs/ramana-test/lib/python2.7/site-packages/theano/gpuarray/dnn.py",
line 2816, in local_abstractconv_cudnn
ctx = infer_context_name(*node.inputs)
File
"/home/akshat/anaconda2/envs/ramana-test/lib/python2.7/site-packages/theano/gpuarray/basic_ops.py",
line 122, in infer_context_name
raise ValueError("Could not infer context from inputs")
ValueError: Could not infer context from inputs
I used these THEANO_FLAGS
, contexts=dev0->cuda1;dev1->cuda3,floatX=float32,optimizer_excluding=fusion.
The same flags works well with the import and the sample code on this page
<http://deeplearning.net/software/theano/tutorial/using_multi_gpu.html>. This
is my first time using multiple GPUs, apologise if I have made some trivial
mistake
Ramana
On Tuesday, June 27, 2017 at 11:50:12 PM UTC+5:30, Ramana Subramanyam wrote:
>
> Hi Fred,
> Since there wasn't any \n in the output, it was all in the same line. You
> have to scroll towards your left/right on this link
> <http://dpaste.com/0SSEM4E>. I am pasting a smaller copy of that below,
>
>
> (Composite{Switch((LT(i0, i1), i1, i0)}(Composite{Switch(GE(i0, i1), i1,
> i0)}(i0, i1), i2), i3), Composite{Switch(LT(i0, i1), i1,
> i0)}(Composite{Switch(GE(i0, i1), i1, i0)}(i0, i1), i2), i3) + i4)}(i8,
> Composite{((i0 + i1) - i2)}(i2, Composite{Switch(LT(Composite{Switch(GE(i0,
> i1), i1, i0)}(Composite{Switch(LT(i0, i1), i2, i0)}(Composite{((i0 + i1) -
> i2)}(i0, i1, i2), i3, i4), i5), i3), i3, Composite{Switch(GE(i0, i1), i1,
> i0)}(Composite{Switch(LT(i0, i1), i2, i0)}(Composite{((i0 + i1) - i2)}(i0,
> i1, i2), i3, i4), i5))}(i1, Composite{Switch(LT(Composite{Switch(GE(i0,
> i1), i1, i0)}(Composite{Switch(LT(i0, i1), i2, i0)}(Composite{((i0 + i1) -
> i2)}(i0, i1, i2), i3, i4), i5), i3), i3, Composite{Switch(GE(i0, i1), i1,
> i0)}(Composite{Switch(LT(i0, i1), i2, i0)}(Composite{((i0 + i1) - i2)}(i0,
> i1, i2), i3, i4), i5))}(i2, i3, i4, i5, i6, Composite{((i0 + i1) - i2)}(i7,
> i3, i4)), Composite{(Switch(LT(Composite{Switch(LT(i0, i1), i1,
> i0)}(Composite{Switch(GE(i0, i1), i1, i0)}(i0, i1), i2), i3),
> Composite{Switch(LT(i0, i1), i1, i0)}(Composite{Switch(GE(i0, i1), i1,
> i0)}(i0, i1), i2), i3) + i4)}(i8, Composite{((i0 + i1) - i2)}(i7, i3, i4),
> i5, Composite{Switch(LT(Composite{Switch(GE(i0, i1), i1,
> i0)}(Composite{Switch(LT(i0, i1), i2, i0)}(Composite{((i0 + i1) - i2)}(i0,
> i1, i2), i3, i4), i5), i3), i3, Composite{Switch(GE(i0, i1), i1,
> i0)}(Composite{Switch(LT(i0, i1), i2, i0)}(Composite{((i0 + i1) - i2)}(i0,
> i1, i2), i3, i4), i5))}(i2, i3, i4, i5, i6, Composite{((i0 + i1) - i2)}(i7,
> i3, i4)), i9), i5, i6, Composite{((i0 + i1) - i2)}(i2,
> Composite{Switch(LT(Composite{Switch(GE(i0, i1), i1,
> i0)}(Composite{Switch(LT(i0, i1), i2, i0)}(Composite{((i0 + i1) - i2)}(i0,
> i1, i2), i3, i4), i5), i3), i3, Composite{Switch(GE(i0, i1), i1,
> i0)}(Composite{Switch(LT(i0, i1), i2, i0)}
>
> On Tuesday, June 27, 2017 at 11:44:11 PM UTC+5:30, nouiz wrote:
>>
>> The output you gave don't show the infinit loop printed. Can you give me
>> longer output?
>>
>> On Tue, Jun 27, 2017 at 2:08 PM Ramana Subramanyam <[email protected]>
>> wrote:
>>
>>> Hi,
>>> I was trying benchmark the reimplementation of PixelCNN code
>>> <https://github.com/kundan2510/pixelCNN> by Kundan Kumar. I landed into
>>> following error while compiling the validation function. I deleted cache
>>> and then restarted, and this error persists. The function that raises error
>>> is pretty much the same as the previous theano function that compiled
>>> successfully(Same in terms of input and output), except that the one that
>>> gives error doesn't have update parameter. This is the traceback of the
>>> error, http://dpaste.com/33R4231. If I don't stop the script (
>>> KeyboardInterrupt doesn't work, so stopped using ctrl + Z), it continues to
>>> paste infinitely on the terminal, just like this
>>> <http://dpaste.com/0SSEM4E>. I implemented it from scratch (but with a
>>> some modifications) and all the functions compiled well for me. I'd be
>>> glad for any help :-)
>>>
>>> Regards,
>>> Ramana
>>>
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>>>
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>>
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