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May 17, 2013, 7:54:51 AM5/17/13

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Summary of the output:

Full output:

Fri May 17 03:35:25 EDT 2013
274ec027b3ff3a4cca634ce9b345500c6e8dc5ad
nb element in the compiledir:
6331
executing nosetests with mode=FAST_RUN
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/dbm/__init__.py:47: UserWarning: DBM changing the recursion limit.
warnings.warn("DBM changing the recursion limit.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/packaged_dependencies/theano_linear/test_matrixmul.py:62: UserWarning: TODO: port these disabled tests to the new pylearn2 setup
warnings.warn("TODO: port these disabled tests to the new pylearn2 setup")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/mlp.py:40: UserWarning: MLP changing the recursion limit.
warnings.warn("MLP changing the recursion limit.")
.................../part/01/Tmp/nightly_build/Pylearn2/pylearn2/devtools/tests/test_record.py:9: UserWarning: These tests should be moved to theano.
warnings.warn("These tests should be moved to theano.")
.....F......../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/tests/test_normalize.py:70: UserWarning: TODO: add test for the CudaConvnet version.
warnings.warn("TODO: add test for the CudaConvnet version.")
......../Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:756: UserWarning: MRG_RandomStreams Can't determine #streams from size (Elemwise{Cast{int32}}.0), guessing 60*256
nstreams = self.n_streams(size)
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.56800413132 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/tests/test_probabilistic_max_pooling.py:233: UserWarning: TODO: make sampling tests run on c01b format of pooling.
warnings.warn("TODO: make sampling tests run on c01b format of pooling.")
.................................../Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:756: UserWarning: MRG_RandomStreams Can't determine #streams from size (Shape.0), guessing 60*256
nstreams = self.n_streams(size)
...../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.49616408348 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.52404785156 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.5266392231 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.60760211945 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.61716985703 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.50618505478 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.48318386078 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.67902088165 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.40534806252 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.74385380745 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.72180700302 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.5417239666 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.54383397102 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.52151203156 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.51043605804 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.53644895554 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.53167104721 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.49768781662 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.5029540062 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.6039018631 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
....../part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/dense_binary_dbm.py:33: UserWarning: s3c changing the recursion limit
warnings.warn('s3c changing the recursion limit')
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/s3c.py:22: UserWarning: s3c changing the recursion limit
warnings.warn('s3c changing the recursion limit')
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/dense_binary_dbm.py:108: UserWarning: dense_binary_dbm is deprecated and no longer under development. It is mostly needed as a component of a larger model that remains private, and will be removed after the larger model has been refactored to use the new pylearn2.models.dbm. Contact Ian Goodfellow if you have questions about this class.
warnings.warn("dense_binary_dbm is deprecated and no longer under "
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/tests/test_dropout.py:17: UserWarning:
TODO: add test that dropout_fprop with all include probabilities and scales set
to 1 is equivalent to fprop.
TODO: add a test file to the corresponding cost module and make sure that the
dropout cost with everything set to 1 is equivalent to the Default cost

""")
Using gpu device 0: GeForce GTX 285
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/sandbox/cuda_convnet/pool.py:24: UserWarning: image_shape argument isn't needed anymore, quit passing it.
warnings.warn("image_shape argument isn't needed anymore, quit passing it.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/mlp.py:366: UserWarning: dropout should be implemented with fixed_var_descr to make sure it works with BGD, this is just a hack to get itworking with SGD
warnings.warn("dropout should be implemented with fixed_var_descr to"
mod.cu(7416) : cutilCheckMsg() CUTIL CUDA error : imgActs: kernel execution failed : (7) too many resources requested for launch.
nb element in the compiledir:
6331
executing nosetests with mode=FAST_RUN,floatX=float32
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/dbm/__init__.py:47: UserWarning: DBM changing the recursion limit.
warnings.warn("DBM changing the recursion limit.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/packaged_dependencies/theano_linear/test_matrixmul.py:62: UserWarning: TODO: port these disabled tests to the new pylearn2 setup
warnings.warn("TODO: port these disabled tests to the new pylearn2 setup")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/mlp.py:40: UserWarning: MLP changing the recursion limit.
warnings.warn("MLP changing the recursion limit.")
.................../part/01/Tmp/nightly_build/Pylearn2/pylearn2/devtools/tests/test_record.py:9: UserWarning: These tests should be moved to theano.
warnings.warn("These tests should be moved to theano.")
.....F......../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/tests/test_normalize.py:70: UserWarning: TODO: add test for the CudaConvnet version.
warnings.warn("TODO: add test for the CudaConvnet version.")
......../Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:756: UserWarning: MRG_RandomStreams Can't determine #streams from size (Elemwise{Cast{int32}}.0), guessing 60*256
nstreams = self.n_streams(size)
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.15087199211 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/tests/test_probabilistic_max_pooling.py:233: UserWarning: TODO: make sampling tests run on c01b format of pooling.
warnings.warn("TODO: make sampling tests run on c01b format of pooling.")
.................................../Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:756: UserWarning: MRG_RandomStreams Can't determine #streams from size (Shape.0), guessing 60*256
nstreams = self.n_streams(size)
...../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.11521601677 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.1203649044 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.10558104515 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.10432696342 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.10029506683 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.25500202179 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.25472712517 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.13392019272 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.0970480442 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.11912608147 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.10538005829 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.09778022766 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.08102607727 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.12372994423 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.1138510704 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.10927581787 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.02668905258 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.10704898834 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.0975689888 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.17901992798 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
....../part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/dense_binary_dbm.py:33: UserWarning: s3c changing the recursion limit
warnings.warn('s3c changing the recursion limit')
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/s3c.py:22: UserWarning: s3c changing the recursion limit
warnings.warn('s3c changing the recursion limit')
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/dense_binary_dbm.py:108: UserWarning: dense_binary_dbm is deprecated and no longer under development. It is mostly needed as a component of a larger model that remains private, and will be removed after the larger model has been refactored to use the new pylearn2.models.dbm. Contact Ian Goodfellow if you have questions about this class.
warnings.warn("dense_binary_dbm is deprecated and no longer under "
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/tests/test_dropout.py:17: UserWarning:
TODO: add test that dropout_fprop with all include probabilities and scales set
to 1 is equivalent to fprop.
TODO: add a test file to the corresponding cost module and make sure that the
dropout cost with everything set to 1 is equivalent to the Default cost

""")
Using gpu device 0: GeForce GTX 285
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/sandbox/cuda_convnet/pool.py:24: UserWarning: image_shape argument isn't needed anymore, quit passing it.
warnings.warn("image_shape argument isn't needed anymore, quit passing it.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/mlp.py:366: UserWarning: dropout should be implemented with fixed_var_descr to make sure it works with BGD, this is just a hack to get itworking with SGD
warnings.warn("dropout should be implemented with fixed_var_descr to"
mod.cu(7416) : cutilCheckMsg() CUTIL CUDA error : imgActs: kernel execution failed : (7) too many resources requested for launch.
nb element in the compiledir:
6331
executing nosetests with mode=DEBUG_MODE with seed of the day 15451
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/dbm/__init__.py:47: UserWarning: DBM changing the recursion limit.
warnings.warn("DBM changing the recursion limit.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/packaged_dependencies/theano_linear/test_matrixmul.py:62: UserWarning: TODO: port these disabled tests to the new pylearn2 setup
warnings.warn("TODO: port these disabled tests to the new pylearn2 setup")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/mlp.py:40: UserWarning: MLP changing the recursion limit.
warnings.warn("MLP changing the recursion limit.")
............../Tmp/nightly_build/Theano/theano/tensor/nnet/conv.py:759: ComplexWarning: Casting complex values to real discards the imaginary part
1, val, bval, 0)
...../part/01/Tmp/nightly_build/Pylearn2/pylearn2/devtools/tests/test_record.py:9: UserWarning: These tests should be moved to theano.
warnings.warn("These tests should be moved to theano.")
.....F......../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/tests/test_normalize.py:70: UserWarning: TODO: add test for the CudaConvnet version.
warnings.warn("TODO: add test for the CudaConvnet version.")
......../Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:756: UserWarning: MRG_RandomStreams Can't determine #streams from size (Elemwise{Cast{int32}}.0), guessing 60*256
nstreams = self.n_streams(size)
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.07611107826 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/tests/test_probabilistic_max_pooling.py:233: UserWarning: TODO: make sampling tests run on c01b format of pooling.
warnings.warn("TODO: make sampling tests run on c01b format of pooling.")
.................................../Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:756: UserWarning: MRG_RandomStreams Can't determine #streams from size (Shape.0), guessing 60*256
nstreams = self.n_streams(size)
...../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.31794500351 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.10446214676 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.10738801956 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.13762307167 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.01543807983 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.13955998421 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.10472607613 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.11320996284 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.10594582558 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.33444690704 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.16197991371 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.29966807365 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.31706786156 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.09818196297 in a call to theano_rng.binomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.11600708961 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.11396002769 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.09928798676 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.14291286469 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.08253717422 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.11605811119 in a call to theano_rng.multinomial.
warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
....../part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/dense_binary_dbm.py:33: UserWarning: s3c changing the recursion limit
warnings.warn('s3c changing the recursion limit')
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/s3c.py:22: UserWarning: s3c changing the recursion limit
warnings.warn('s3c changing the recursion limit')
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/dense_binary_dbm.py:108: UserWarning: dense_binary_dbm is deprecated and no longer under development. It is mostly needed as a component of a larger model that remains private, and will be removed after the larger model has been refactored to use the new pylearn2.models.dbm. Contact Ian Goodfellow if you have questions about this class.
warnings.warn("dense_binary_dbm is deprecated and no longer under "
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/tests/test_dropout.py:17: UserWarning:
TODO: add test that dropout_fprop with all include probabilities and scales set
to 1 is equivalent to fprop.
TODO: add a test file to the corresponding cost module and make sure that the
dropout cost with everything set to 1 is equivalent to the Default cost

""")
Using gpu device 0: GeForce GTX 285
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/sandbox/cuda_convnet/pool.py:24: UserWarning: image_shape argument isn't needed anymore, quit passing it.
warnings.warn("image_shape argument isn't needed anymore, quit passing it.")
E./part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/mlp.py:366: UserWarning: dropout should be implemented with fixed_var_descr to make sure it works with BGD, this is just a hack to get itworking with SGD
warnings.warn("dropout should be implemented with fixed_var_descr to"
.....................S...........................................................................WARNING (theano.compile.debugmode): Optimization Warning: input idx 4 marked as destroyed was not changed for node 'do_whileall_inplace,cpu,linear_conjugate_gradient}(TensorConstant{1000}, IncSubtensor{InplaceSet;:int64:}.0, IncSubtensor{InplaceSet;:int64:}.0, DeepCopyOp.0, IncSubtensor{InplaceSet;:int64:}.0, Alloc.0, Alloc.0)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 4 marked as destroyed was not changed for node 'do_while{inplace{2,3,},cpu,linear_conjugate_gradient}(TensorConstant{1000}, IncSubtensor{InplaceSet;:int64:}.0, IncSubtensor{InplaceSet;:int64:}.0, DeepCopyOp.0, IncSubtensor{InplaceSet;:int64:}.0, x)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'if{inplace}(Elemwise{lt,no_inplace}.0, x, Subtensor{int64}.0)'
.................................................................../part/01/Tmp/nightly_build/Pylearn2/pylearn2/sandbox/cuda_convnet/tests/test_filter_acts.py:65: UserWarning: test_match_valid_conv success criterion is not very strict. Can we verify that this is OK?
One possibility is that theano is numerically unstable and Alex's code is better.
Probably theano CPU 64 bit is OK but it's worth checking the others.
Probably theano CPU 64 bit is OK but it's worth checking the others.""")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/sandbox/cuda_convnet/tests/test_filter_acts.py:123: UserWarning: test_match_valid_conv success criterion is not very strict. Can we verify that this is OK?
One possibility is that theano is numerically unstable and Alex's code is better.
Probably theano CPU 64 bit is OK but it's worth checking the others.
Probably theano CPU 64 bit is OK but it's worth checking the others.""")
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/sandbox/cuda_convnet/tests/test_filter_acts.py:186: UserWarning: test_match_valid_conv success criterion is not very strict. Can we verify that this is OK?
One possibility is that theano is numerically unstable and Alex's code is better.
Probably theano CPU 64 bit is OK but it's worth checking the others.
Probably theano CPU 64 bit is OK but it's worth checking the others.""")
.E/Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:756: UserWarning: MRG_RandomStreams Can't determine #streams from size ((Elemwise{add,no_inplace}.0,)), guessing 60*256
nstreams = self.n_streams(size)
E/part/01/Tmp/nightly_build/Pylearn2/pylearn2/sandbox/cuda_convnet/tests/test_img_acts.py:76: UserWarning: test_match_full_conv success criterion is not very strict. Can we verify that this is OK?
One possibility is that theano is numerically unstable and Alex's code is better.
Probably theano CPU 64 bit is OK but it's worth checking the others.
Probably theano CPU 64 bit is OK but it's worth checking the others.""")
.EE....E/part/01/Tmp/nightly_build/Pylearn2/pylearn2/train.py:83: UserWarning: dataset has no yaml src, model won't know what data it was trained on
warnings.warn("dataset has no yaml src, model won't know what data it was trained on")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/monitor.py:427: UserWarning: Trained model saved without indicating yaml_src
warnings.warn('Trained model saved without indicating yaml_src')
.E.E.[ceylon:28444] *** Process received signal ***
[ceylon:28444] Signal: Segmentation fault (11)
[ceylon:28444] Signal code: (128)
[ceylon:28444] Failing at address: (nil)
[ceylon:28444] [ 0] /lib64/libpthread.so.0() [0x3e3160eeb0]
[ceylon:28444] [ 1] /opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/numpy/core/umath.so(+0x1e916) [0x7f96fe0af916]
[ceylon:28444] [ 2] /opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/numpy/core/umath.so(+0x1f3ac) [0x7f96fe0b03ac]
[ceylon:28444] [ 3] [0x5f1f52f0]
[ceylon:28444] *** End of error message ***
/Tmp/nightly_build/Pylearn2/pylearn2/misc/do_nightly_build: line 45: 28444 Segmentation fault THEANO_FLAGS=${FLAGS},unittests.rseed=$seed,mode=DEBUG_MODE,DebugMode.check_strides=0,DebugMode.patience=3,DebugMode.check_preallocated_output= ${NOSETESTS} ${ARGS}
nb element in the compiledir:
6339

Total test time: 225m 39s
Fri May 17 07:21:05 EDT 2013

li...@iro.umontreal.ca

unread,

May 18, 2013, 4:23:43 AM5/18/13

to theano-...@googlegroups.com

Summary of the output:

Full output:

Sat May 18 03:19:49 EDT 2013
3e1d974ac2a1c46db105005b01c3d31b05442d25

nb element in the compiledir:
6339

..................../part/01/Tmp/nightly_build/Pylearn2/pylearn2/devtools/tests/test_record.py:9: UserWarning: These tests should be moved to theano.

warnings.warn("These tests should be moved to theano.")
.....F......../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/tests/test_normalize.py:70: UserWarning: TODO: add test for the CudaConvnet version.
warnings.warn("TODO: add test for the CudaConvnet version.")
......../Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:756: UserWarning: MRG_RandomStreams Can't determine #streams from size (Elemwise{Cast{int32}}.0), guessing 60*256
nstreams = self.n_streams(size)

/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:513: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.43914699554 in a call to theano_rng.multinomial.

warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")
../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/tests/test_probabilistic_max_pooling.py:233: UserWarning: TODO: make sampling tests run on c01b format of pooling.
warnings.warn("TODO: make sampling tests run on c01b format of pooling.")
.................................../Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:756: UserWarning: MRG_RandomStreams Can't determine #streams from size (Shape.0), guessing 60*256
nstreams = self.n_streams(size)

...../part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.46777796745 in a call to theano_rng.binomial.

warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")

warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")

./part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.44643592834 in a call to theano_rng.binomial.

warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")

warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")

warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")

/part/01/Tmp/nightly_build/Pylearn2/pylearn2/expr/probabilistic_max_pooling.py:416: UserWarning: TODO: speed up theano's random number seeding. max pooling spent 3.43645095825 in a call to theano_rng.binomial.

warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.binomial.")

warnings.warn("TODO: speed up theano's random number seeding. max pooling spent "+str(t2-t1)+" in a call to theano_rng.multinomial.")

/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/s3c.py:24: UserWarning: s3c changing the recursion limit

warnings.warn('s3c changing the recursion limit')
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/dense_binary_dbm.py:108: UserWarning: dense_binary_dbm is deprecated and no longer under development. It is mostly needed as a component of a larger model that remains private, and will be removed after the larger model has been refactored to use the new pylearn2.models.dbm. Contact Ian Goodfellow if you have questions about this class.
warnings.warn("dense_binary_dbm is deprecated and no longer under "
./part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/tests/test_dropout.py:17: UserWarning:
TODO: add test that dropout_fprop with all include probabilities and scales set
to 1 is equivalent to fprop.
TODO: add a test file to the corresponding cost module and make sure that the
dropout cost with everything set to 1 is equivalent to the Default cost

""")
Using gpu device 0: GeForce GTX 285
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/sandbox/cuda_convnet/pool.py:24: UserWarning: image_shape argument isn't needed anymore, quit passing it.
warnings.warn("image_shape argument isn't needed anymore, quit passing it.")
/part/01/Tmp/nightly_build/Pylearn2/pylearn2/models/mlp.py:366: UserWarning: dropout should be implemented with fixed_var_descr to make sure it works with BGD, this is just a hack to get itworking with SGD
warnings.warn("dropout should be implemented with fixed_var_descr to"
mod.cu(7416) : cutilCheckMsg() CUTIL CUDA error : imgActs: kernel execution failed : (7) too many resources requested for launch.
nb element in the compiledir:

6339