Discussion:
[theano-users] Error while compiling two theano functions
Ramana Subramanyam
2017-06-27 18:08:25 UTC
Permalink
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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Frédéric Bastien
2017-06-27 18:13:52 UTC
Permalink
The output you gave don't show the infinit loop printed. Can you give me
longer output?
Post by Ramana Subramanyam
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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Ramana Subramanyam
2017-06-27 18:20:12 UTC
Permalink
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)}
Post by Frédéric Bastien
The output you gave don't show the infinit loop printed. Can you give me
longer output?
Post by Ramana Subramanyam
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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Ramana Subramanyam
2017-07-01 20:33:30 UTC
Permalink
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
Post by Ramana Subramanyam
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)}
Post by Frédéric Bastien
The output you gave don't show the infinit loop printed. Can you give me
longer output?
Post by Ramana Subramanyam
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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Groups "theano-users" group.
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Frédéric Bastien
2017-07-03 12:38:01 UTC
Permalink
This is still experimental and we don't have to to work on it now.

For multiple GPU, you should do data parallelism. The is 3 framework that
can help you, theano-mpi, platoon and synkronous.

Fred
Post by Ramana Subramanyam
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
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)
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
Post by Ramana Subramanyam
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)}
Post by Frédéric Bastien
The output you gave don't show the infinit loop printed. Can you give me
longer output?
Post by Ramana Subramanyam
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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Groups "theano-users" group.
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Frédéric Bastien
2017-08-09 21:12:17 UTC
Permalink
note, I made an issue about this:

https://github.com/Theano/Theano/issues/6287

Fred
Post by Frédéric Bastien
This is still experimental and we don't have to to work on it now.
For multiple GPU, you should do data parallelism. The is 3 framework that
can help you, theano-mpi, platoon and synkronous.
Fred
Post by Ramana Subramanyam
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
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)
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
Post by Ramana Subramanyam
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)}
Post by Frédéric Bastien
The output you gave don't show the infinit loop printed. Can you give
me longer output?
Post by Ramana Subramanyam
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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