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==> Making package: opencog-git 0.0.0-1 (Sat May 17 00:33:41 HKT 2014)
==> Checking runtime dependencies...
==> Checking buildtime dependencies...
==> Retrieving sources...
  -> Updating opencog-git git repo...
Fetching origin
==> Validating source files with md5sums...
    opencog-git ... Skipped
==> Extracting sources...
  -> Creating working copy of opencog git repo...

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<VirtualHost *:80>
        ServerName fascism.dimsumlabs.com

        DocumentRoot /opt/lf/liquid_feedback_frontend

        RewriteEngine on

        RewriteRule ^/$ /lf/ [R]

        RewriteRule ^/lf/static/(.*)$ /lf/static/$1 [L,PT]

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➜  ~ git:(master) ✗ docker -v
Docker version 1.0.1, build 990021a

➜  ~ git:(master) ✗ sudo docker -D -d    
2014/07/04 19:11:13 docker daemon: 1.0.1 990021a; execdriver: native; graphdriver: 
[bf25c63f] +job serveapi(unix:///var/run/docker.sock)
[bf25c63f] +job initserver()
[bf25c63f.initserver()] Creating server
2014/07/04 19:11:13 Listening for HTTP on unix (/var/run/docker.sock)
[debug] server.go:1114 Registering GET, /_ping

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(lasagne) lulu@lulus ➜  /tmp  CUDA_LAUNCH_BLOCKING=1 THEANO_FLAGS="device=cpu" python grad.py 
Reshape{2} [id A] ''   24
 |MaxPoolGrad{ds=(3, 3), ignore_border=True, st=(2, 2), padding=(0, 0), mode='max'} [id B] ''   23
 | |Reshape{4} [id C] ''   4
 | | |x [id D]
 | | |Join [id E] ''   3
 | |   |TensorConstant{0} [id F]
 | |   |TensorConstant{(1,) of 1} [id G]
 | |   |TensorConstant{(1,) of 1} [id G]
 | |   |MakeVector{dtype='int64'} [id H] ''   2

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----------------------------------- coverage: platform linux, python 3.5.1-final-0 ------------------------------------
Name                                    Stmts   Miss  Cover   Missing
---------------------------------------------------------------------
lasagne/__init__.py                        14      0   100%   
lasagne/conftest.py                         3      0   100%   
lasagne/init.py                           112      0   100%   
lasagne/layers/__init__.py                 13      0   100%   
lasagne/layers/base.py                     52      0   100%   
lasagne/layers/conv.py                     85      0   100%   
lasagne/layers/corrmm.py                   23      0   100%   

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(lasagne) lulu@lulus ➜  theano git:(master) ✗  theano-nose                               
Using gpu device 0: GeForce GTX 980 Ti (CNMeM is disabled, CuDNN 4007)
/home/lulu/dev/theano/theano/tensor/signal/downsample.py:5: UserWarning: downsample module has been moved to the pool module.
  warnings.warn("downsample module has been moved to the pool module.")
..................EE.........................................S...................F.EE..F/usr/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:326: RuntimeWarning: All-NaN slice encountered
  warnings.warn("All-NaN slice encountered", RuntimeWarning)
/usr/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:227: RuntimeWarning: All-NaN axis encountered
  warnings.warn("All-NaN axis encountered", RuntimeWarning)
..............................................EE......FF.SS.............0.4236492467731422
0.4236492467731422

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======================================================================
ERROR: Failure: TypeError (No to_python (by-value) converter found for C++ type: boost::shared_ptr<pycuda::context>)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python3.5/site-packages/nose/failure.py", line 39, in runTest
    raise self.exc_val.with_traceback(self.tb)
  File "/usr/lib/python3.5/site-packages/nose/loader.py", line 418, in loadTestsFromName
    addr.filename, addr.module)
  File "/usr/lib/python3.5/site-packages/nose/importer.py", line 47, in importFromPath
    return self.importFromDir(dir_path, fqname)

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(lasagne) lulu@lulus ➜  theano git:(master) ✗  THEANO_FLAGS='device=gpu0' cuda-memcheck --tool racecheck python digits.py 
========= CUDA-MEMCHECK
Using gpu device 0: GeForce GTX 980 Ti (CNMeM is disabled, CuDNN 4007)
========= Race reported between Write access at 0x00000370 in kernel_reduce_ccontig_node_meb404c8cd39208f6884dd773b584b7d7_0(unsigned int, float const *, float*)
=========     and Read access at 0x000003a8 in kernel_reduce_ccontig_node_meb404c8cd39208f6884dd773b584b7d7_0(unsigned int, float const *, float*) [64 hazards]
=========
========= Race reported between Read access at 0x00000458 in kernel_reduce_ccontig_node_meb404c8cd39208f6884dd773b584b7d7_0(unsigned int, float const *, float*)
=========     and Write access at 0x00000450 in kernel_reduce_ccontig_node_meb404c8cd39208f6884dd773b584b7d7_0(unsigned int, float const *, float*) [56 hazards]
=========     and Write access at 0x00000488 in kernel_reduce_ccontig_node_meb404c8cd39208f6884dd773b584b7d7_0(unsigned int, float const *, float*) [56 

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THEANO_FLAGS=device=cpu python grad2.py
/home/lulu/envs/lasagne/src/theano/theano/tensor/signal/downsample.py:5: UserWarning: downsample module has been moved to the pool module.
  warnings.warn("downsample module has been moved to the pool module.")
[[[[ 0.0092912  -0.02441137 -0.02754276  0.01122958 -0.00818081]
   [-0.01672053 -0.01367587  0.00680624  0.00199598  0.00061339]
   [-0.00191424 -0.02243352 -0.00397626 -0.00542678  0.00766693]
   [ 0.00202304 -0.00312776 -0.02510831  0.0181811   0.01776238]
   [-0.00225955  0.00767795  0.00633004 -0.01474251  0.00119607]]]]

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from lasagne import layers, objectives, updates
import numpy as np
import theano
import theano.tensor as T

np.random.seed(0)

input_var = T.tensor4('X')
target_var = T.tensor4('X2')