Theano buildbot Fail=1 Err=1 Ran=11800 Skip=127 KnownFail=83

[li...@iro.umontreal.ca]

Summary of the output:

File "/part/01/Tmp/nightly_build/Theano/theano/tensor/tests/test_opt.py", line 147, in test_stabilize_log_softmax
AssertionError
File "/part/01/Tmp/nightly_build/Theano/theano/sparse/tests/test_basic.py", line 2387, in test_grad


Full output:

Wed Aug 22 19:00:07 EDT 2012
9d1fdc65fb2d031130ea1b941cdf2a0a5deff0c5
Number of elements in the compiledir:
9422
Executing nosetests with mode=FAST_COMPILE
Using gpu device 0: GeForce GTX 285
.......................................K............../part/01/Tmp/nightly_build/Theano/theano/compile/tests/test_inplace_opt_for_value.py:170: UserWarning: theano modules are deprecated and will be removed in release 0.7
super(ExampleRNN, self).__init__()
.............................................................................................WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.gof.tests.test_compute_test_value.IncOneC object at 0x51aecb10>, ((Scalar(int32), ((-1, 0), False)),), (1, (False,)))))])
...............................................................................................................SS............................................................................................................................................................................................................................................./opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/signal/signaltools.py:408: ComplexWarning: Casting complex values to real discards the imaginary part
return sigtools._convolve2d(in1,in2,1,val,bval,fillvalue)
........./part/01/Tmp/nightly_build/Theano/theano/tensor/nnet/conv.py:681: ComplexWarning: Casting complex values to real discards the imaginary part
img2d[b,im0,...], filtersflipped[n,im0,...],1,val, bval, 0)
.....................................S..........SS...SSSSS...........................................................................KK................................................WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.scalar.basic.Composite object at 0x6634f110>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False)), (Scalar(float64), ((-1, 2), False))), (1, (False, False, False)))))])
.WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.scalar.basic.Composite object at 0x66af2550>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (False,)))))])
.WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.scalar.basic.Composite object at 0x66367e50>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (False,)))))])
.............K........../part/01/Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:758: UserWarning: MRG_RandomStreams Can't determine #streams from size (Shape.0), guessing 60*256
nstreams = self.n_streams(size)
..................K...............K............................................../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/data.py:54: ComplexWarning: Casting complex values to real discards the imaginary part
return self._with_data(self.data.astype(t))
/part/01/Tmp/nightly_build/Theano/theano/sparse/tests/test_basic.py:1960: ComplexWarning: Casting complex values to real discards the imaginary part
expected = data.toarray().astype(o_dtype)
..../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/compressed.py:486: SparseEfficiencyWarning: changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/compressed.py:486: SparseEfficiencyWarning: changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
.....................................S.......S......................................................................................................................................................................................S.SS.........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................K..............................................................................................................................S.............
....................................................................................................................................................................K..KKKK.K................................................K.............../part/01/Tmp/nightly_build/Theano/theano/tensor/tests/test_naacl09.py:64: UserWarning: RandomStreams is deprecated and will be removed in release 0.7. Use shared_randomstreams.RandomStreams or MRG_RandomStreams instead.
self.random = T.RandomStreams()
.....................................................S.S..S..........................................F.....K......K..................................................................................................................................................SS...SSSSS........................................................
======================================================================
FAIL: theano.tensor.tests.test_opt.test_stabilize_log_softmax
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/case.py", line 187, in runTest
self.test(*self.arg)
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/tests/test_opt.py", line 147, in test_stabilize_log_softmax
assert not isinstance(node.op, y.owner.op.__class__)
AssertionError

----------------------------------------------------------------------
Ran 2354 tests in 2049.162s

FAILED (KNOWNFAIL=16, SKIP=26, failures=1)
INFO (theano.gof.compilelock): Refreshing lock /part/01/Tmp/lisa_theano_compile_dir_theano/lock_dir/lock
-------------------------------------------------------------------
PyCUDA ERROR: The context stack was not empty upon module cleanup.
-------------------------------------------------------------------
A context was still active when the context stack was being
cleaned up. At this point in our execution, CUDA may already
have been deinitialized, so there is no way we can finish
cleanly. The program will be aborted now.
Use Context.pop() to avoid this problem.
-------------------------------------------------------------------
/Tmp/nightly_build/Theano/theano/misc/do_nightly_build: line 57: 29196 Aborted THEANO_FLAGS=${FLAGS},mode=FAST_COMPILE ${NOSETESTS} ${ARGS}
Number of elements in the compiledir:
9422
Executing nosetests with mode=FAST_RUN
Using gpu device 0: GeForce GTX 285
.......................................K............../part/01/Tmp/nightly_build/Theano/theano/compile/tests/test_inplace_opt_for_value.py:170: UserWarning: theano modules are deprecated and will be removed in release 0.7
super(ExampleRNN, self).__init__()
.............................................................................WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_cc.Sub object at 0x47678d0>, <theano.gof.tests.test_cc.Div object at 0x47679d0>, <theano.gof.tests.test_cc.Add object at 0x4767850>, <theano.gof.tests.test_cc.Sub object at 0x47678d0>, <theano.gof.tests.test_cc.Mul object at 0x4767950>, <theano.gof.tests.test_cc.Add object at 0x4767850>]
.WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_cc.Sub object at 0x47678d0>, <theano.gof.tests.test_cc.Div object at 0x47679d0>, <theano.gof.tests.test_cc.Add object at 0x4767850>, <theano.gof.tests.test_cc.Sub object at 0x47678d0>, <theano.gof.tests.test_cc.Mul object at 0x4767950>, <theano.gof.tests.test_cc.Add object at 0x4767850>]
.WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_cc.Add object at 0x4767850>]
.WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_cc.Add object at 0x4767850>]
.WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_cc.Add object at 0x4767850>, <theano.gof.tests.test_cc.Mul object at 0x4767950>, <theano.gof.tests.test_cc.Add object at 0x4767850>]
.WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_cc.Sub object at 0x47678d0>]
WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_cc.Div object at 0x47679d0>]
WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_cc.Mul object at 0x4767950>]
...WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_cc.Mul object at 0x4767950>, <theano.gof.tests.test_cc.Mul object at 0x4767950>, <theano.gof.tests.test_cc.Sub object at 0x47678d0>]
.WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_cc.AddFail object at 0x4767a90>]
.......WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.gof.tests.test_compute_test_value.IncOneC object at 0x55115210>, ((Scalar(int32), ((-1, 0), False)),), (1, (False,)))))])
.............................................................WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.gof.tests.test_op.IncOneC object at 0x551b6050>]
..................................................SS............................................................................................................................................................................................................................................./opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/signal/signaltools.py:408: ComplexWarning: Casting complex values to real discards the imaginary part
return sigtools._convolve2d(in1,in2,1,val,bval,fillvalue)
...................................................................SS...SSSSS...........................................................................KK................................................WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.scalar.basic.Composite object at 0x532c7810>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False)), (Scalar(float64), ((-1, 2), False))), (1, (False, False, False)))))])
.WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.scalar.basic.Composite object at 0x534b3210>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (False,)))))])
.WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.scalar.basic.Composite object at 0x53151110>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (False,)))))])
.............K........../part/01/Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:758: UserWarning: MRG_RandomStreams Can't determine #streams from size (Shape.0), guessing 60*256
nstreams = self.n_streams(size)
..................K...............K............................................../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/data.py:54: ComplexWarning: Casting complex values to real discards the imaginary part
return self._with_data(self.data.astype(t))
/part/01/Tmp/nightly_build/Theano/theano/sparse/tests/test_basic.py:1960: ComplexWarning: Casting complex values to real discards the imaginary part
expected = data.toarray().astype(o_dtype)
..../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/compressed.py:486: SparseEfficiencyWarning: changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/compressed.py:486: SparseEfficiencyWarning: changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
.....................................S.......S......................................................................................................................................................................................S.SS.........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................K..............................................................................................................................S.............
....................................................................................................................................................................K..KKKK.K................................................K.............../part/01/Tmp/nightly_build/Theano/theano/tensor/tests/test_naacl09.py:64: UserWarning: RandomStreams is deprecated and will be removed in release 0.7. Use shared_randomstreams.RandomStreams or MRG_RandomStreams instead.
self.random = T.RandomStreams()
.....................................................S.S..S................................................K......K..................................................................................................................................................SS...SSSSS........................................................
Name Stmts Miss Cover Missing
---------------------------------------------------------------------
theano 72 0 100%
theano.compile 16 0 100%
theano.compile.builders 46 2 96% 45, 102
theano.compile.debugmode 1198 96 92% 107, 161, 164, 169-192, 194, 196, 198-199, 201-202, 205, 210, 214, 220, 276, 281-309, 313, 323-333, 349, 353, 375, 377, 420, 466, 468, 470-471, 473, 475-476, 479, 481-482, 854, 858, 947-948, 959-961, 975, 1204, 2239, 2242-2243
theano.compile.function 34 0 100%
theano.compile.function_module 735 33 96% 269, 423, 450, 471, 806-808, 812-814, 818-830, 835, 851, 963, 1425, 1458, 1472, 1476, 1480, 1482-1484, 1531, 1537
theano.compile.io 74 14 81% 105-106, 114, 126-136
theano.compile.mode 192 20 90% 38-52, 78-80, 109, 174, 295, 394, 402, 418, 420, 443
theano.compile.module 623 51 92% 49-56, 123-124, 126-127, 130, 146, 185, 188-189, 512-526, 528, 530, 532, 584, 614, 729, 736, 740, 751, 769, 778, 782, 871, 890-892, 1086, 1089, 1091-1092, 1202, 1214, 1231-1242
theano.compile.pfunc 173 1 99% 172
theano.compile.profilemode 441 313 29% 143, 145, 155-184, 232-256, 258, 266, 283-299, 332-653, 656, 661, 665-668, 674-675, 685-695, 710-712
theano.compile.profiling 342 252 26% 41, 43, 45-47, 50-52, 58, 64, 76, 165, 170, 175-176, 178-180, 185-187, 189, 195-198, 200, 205-213, 215, 220-224, 229-233, 238-242, 247-253, 258-266, 269-275, 282-287, 290-296, 304-323, 326-341, 344-368, 371-375, 378-381, 383-423, 426-457, 460-531, 534-556, 560-572, 946-947, 957-982
theano.compile.sandbox 0 0 100%
theano.compile.sharedvalue 61 4 93% 131-132, 148, 153
theano.configdefaults 65 0 100%
theano.configdefaults_late 42 21 50% 33-34, 40-47, 55-82, 85-86
theano.configparser 162 9 94% 20, 27, 127, 152-154, 314, 324, 352
theano.gof 13 0 100%
theano.gof.callcache 33 26 21% 7-15, 18-25, 28-38, 41-45
theano.gof.cc 626 2 99% 23-25
theano.gof.cmodule 704 22 97% 469, 1083, 1089, 1126-1127, 1139, 1144-1145, 1153, 1159-1160, 1165, 1184, 1189, 1211, 1236, 1263-1265, 1268, 1278, 1593, 1601
theano.gof.compiledir 151 89 41% 115, 146-149, 152-158, 160-181, 185-263
theano.gof.compilelock 144 52 64% 30-36, 62-64, 80-81, 83, 145-151, 167-172, 178-181, 189-217, 222, 237, 242-245, 297-298
theano.gof.cutils 30 1 97% 9
theano.gof.destroyhandler 265 25 91% 31, 168-177, 220, 261, 282-292, 308, 344, 377, 382, 418
theano.gof.fg 296 70 76% 134, 152, 154, 157-158, 160, 181-183, 197-199, 235, 245, 265-266, 273, 276-292, 334, 376, 408, 410, 442, 466-467, 470, 494, 503-506, 508-510, 562, 587, 591, 593-603, 605-607, 609-611, 617, 624, 628-635
theano.gof.graph 378 6 98% 119-120, 137, 152, 721-722
theano.gof.lazylinker_c 53 3 94% 22, 35, 42
theano.gof.link 289 51 82% 18-34, 50-51, 91, 101, 106, 134, 159, 162, 169, 198, 201, 241, 281-283, 295, 325, 327, 357-358, 363-365, 367, 391, 436, 493, 511, 587, 629-630, 637-638, 647-650
theano.gof.op 210 18 91% 336, 395, 398-402, 410-411, 413-414, 437, 633, 715, 717-721, 759, 767
theano.gof.opt 953 99 90% 175, 181, 185-186, 190, 193, 197-198, 200-201, 205, 245-246, 257, 317, 340, 370, 374, 397, 399-400, 406, 964, 971-972, 1521-1522, 1526, 1529, 1532-1536, 1538-1540, 1547-1552, 1557-1585, 1592-1636, 1656-1657, 1668-1669, 1756, 1759, 1762, 1768-1769, 1772-1774
theano.gof.optdb 145 11 92% 7, 42, 117, 127, 239-245, 247, 251
theano.gof.python25 105 78 26% 13-64, 74-88, 112-143, 154-156
theano.gof.toolbox 183 28 85% 200, 225, 233, 258, 263-271, 276-277, 285-286, 295, 298-299, 302-303, 306-307, 310-311, 314-315
theano.gof.type 85 8 91% 99, 140, 181, 250, 295, 308, 327, 421
theano.gof.unify 197 105 47% 40, 53-54, 63, 190-195, 202-203, 210-213, 220-224, 231-235, 242-243, 250, 257-264, 271-273, 280-287, 294-296, 303, 305-309, 317-321, 329-331, 342-344, 355-356, 359, 366, 370, 374, 386-395, 399, 403-405, 416-420, 427, 434-438, 446-474
theano.gof.utils 202 88 56% 19-20, 44, 49, 51, 53-55, 59, 93-102, 116-117, 126-133, 136-142, 146-149, 154-162, 166, 176-179, 191, 208-229, 234-238, 247, 272, 281-283, 302, 316-322
theano.gof.vm 379 8 98% 31, 33, 37, 120, 147, 150, 157, 178
theano.gradient 397 3 99% 431-432, 1055
theano.ifelse 356 161 55% 88, 99-106, 131, 137, 190, 196-197, 324, 372, 447-462, 465, 467-477, 482-485, 491-501, 506-507, 509, 519, 521-534, 540, 543-552, 554-562, 564, 566-584, 589-601, 606-613, 615, 617-635, 640-689
theano.misc 0 0 100%
theano.misc.cpucount 18 15 17% 41-57
theano.misc.cudamat_utils 50 46 8% 13-112
theano.misc.gnumpy_utils 52 48 8% 8-117
theano.misc.may_share_memory 36 3 92% 17-20
theano.misc.pycuda_example 150 12 92% 35, 46, 48-51, 53, 190-191, 395-396, 400
theano.misc.pycuda_init 35 12 66% 15, 30, 35-42, 47-48, 57
theano.misc.pycuda_utils 35 3 91% 6, 27, 34
theano.misc.safe_asarray 13 2 85% 31, 48
theano.misc.strutil 30 24 20% 4-14, 19-36, 40-43
theano.printing 592 137 77% 17-18, 82, 88, 90, 100, 172, 247, 252, 257, 294-295, 299, 359, 365, 370-372, 376-398, 403-409, 421, 583, 586, 711, 735, 761-763, 777, 785-797, 812-898, 900-901, 905, 908, 910, 929, 932, 936, 940-944, 1050
theano.raise_op 20 0 100%
theano.sandbox 0 0 100%
theano.sandbox.cuda 193 14 93% 45, 159, 341, 377, 388, 402, 411, 423-424, 428-429, 437-446
theano.sandbox.cuda.basic_ops 820 120 85% 513-516, 521-522, 555-558, 561, 563, 593, 595-598, 605, 634, 657-661, 728, 911, 924, 946-948, 993, 996, 999, 1051-1052, 1173, 1192, 1287, 1378-1381, 1408, 1433, 1466, 1475-1477, 1483-1517, 1604-1608, 1640, 1696-1699, 1718, 2311, 2407, 2409-2410, 2419-2421, 2431-2434, 2443-2446, 2455-2458, 2467-2470, 2479-2483, 2491-2535
theano.sandbox.cuda.blas 305 3 99% 507, 525, 838
theano.sandbox.cuda.elemwise 454 180 60% 46, 166-260, 265-408, 525-528, 531-532, 578-581, 583-588, 619-624, 653-656, 661-662, 712-713, 715-716, 734, 785, 903
theano.sandbox.cuda.kernel_codegen 36 3 92% 29, 101, 105
theano.sandbox.cuda.nnet 100 0 100%
theano.sandbox.cuda.nvcc_compiler 213 11 95% 75, 80, 91, 93-94, 337, 340-341, 346, 349, 352
theano.sandbox.cuda.opt 779 11 99% 320-322, 324, 328-332, 343-344, 383
theano.sandbox.cuda.rng_curand 120 6 95% 134, 268, 277-281
theano.sandbox.cuda.type 158 1 99% 443
theano.sandbox.cuda.var 91 18 80% 51, 148, 153-167, 204-205
theano.sandbox.linalg 1 0 100%
theano.sandbox.linalg.kron 33 4 88% 9-10, 51, 67
theano.sandbox.linalg.ops 460 53 88% 19-21, 36, 40, 46, 63, 66-69, 77-82, 121, 155, 209, 216, 220-221, 235, 259-265, 282, 298-299, 313-315, 374, 747, 787-788, 841-845, 847, 850-858, 861-867
theano.sandbox.multinomial 88 4 95% 27, 43-45
theano.sandbox.neighbourhoods 119 98 18% 66-76, 79-84, 87, 94, 101, 109-124, 129-150, 153-162, 165-202, 205-209, 212-217, 220-237, 240, 244-268, 273
theano.sandbox.neighbours 97 13 87% 25, 42, 95-98, 287-288, 290, 328, 460-463
theano.sandbox.rng_mrg 338 57 83% 91-140, 176, 194-215, 401-402, 494
theano.sandbox.scan 307 76 75% 121-124, 143, 157-172, 201-208, 274, 278-281, 289, 304-353, 363-368, 374, 384, 413-432, 496, 503, 518-525, 659
theano.sandbox.scan_module 5 0 100%
theano.sandbox.scan_module.scan 156 31 80% 342-345, 367-381, 406, 414, 439-456, 536, 539, 560, 567, 579
theano.sandbox.scan_module.scan_op 245 108 56% 68-69, 77-86, 103-126, 129-142, 145-152, 159, 213, 216-217, 239-240, 248, 260-301, 312, 316, 319, 339, 357, 365-389
theano.sandbox.scan_module.scan_utils 224 107 52% 47, 73-74, 87, 90, 93-100, 103, 107-146, 197, 203-209, 223, 232, 235-248, 260-261, 272-279, 285, 288-294, 310-347, 363, 369-370, 373, 408, 413-417, 420-422, 425-426
theano.sandbox.softsign 23 4 83% 9, 11, 19, 25
theano.sandbox.theano_object 77 42 45% 12-15, 49-50, 53, 56, 59, 62, 65, 75, 78, 104-107, 161-191, 210-224
theano.scalar 2 0 100%
theano.scalar.basic 1555 56 96% 62, 69-70, 80-81, 106-109, 145-148, 152, 171, 197-198, 278, 409-418, 505, 511, 577, 605, 609, 629, 632, 636, 639, 652, 655-660, 667, 711, 725-726, 929-932, 934-935, 938-941, 957, 977-978, 983, 1754
theano.scalar.basic_scipy 108 11 90% 25, 53, 59, 65, 84, 108, 111, 124, 140, 143, 196
theano.scalar.sharedvar 22 1 95% 42
theano.scan_module 8 0 100%
theano.scan_module.scan 368 20 95% 349, 370, 384-386, 394, 407, 415, 469-473, 498, 523, 599-600, 656-660, 670, 929
theano.scan_module.scan_op 929 129 86% 110-113, 411-421, 430-431, 434, 731, 759-766, 777, 784-791, 806, 812-814, 817-821, 825-829, 835, 840, 845-847, 849, 854-862, 866, 872-874, 878-883, 890-891, 894, 896-901, 909-910, 912-913, 918-942, 953, 967-975, 979-980, 992-1001, 1004-1007, 1010, 1028, 1041, 1709, 1722, 1752-1779
theano.scan_module.scan_opt 671 2 99% 238, 412
theano.scan_module.scan_perform_ext 50 2 96% 15, 37
theano.scan_module.scan_utils 540 21 96% 74-76, 106-111, 257-258, 294, 913-916, 921-922, 925-932
theano.scan_module.scan_views 18 1 94% 113
theano.sparse 15 3 80% 11-13
theano.sparse.basic 1466 15 99% 2907, 2915-2919, 2924, 3062-3063, 3070, 3282, 3286, 3294, 3316, 3319
theano.sparse.opt 427 66 85% 71, 74, 77-80, 83-88, 104-105, 111, 236, 264, 267-271, 274-280, 297-303, 396, 404-413, 448, 476, 488, 515, 518, 520, 740, 742, 895, 897, 1009, 1011, 1096-1097, 1108, 1159, 1161, 1244-1245, 1248, 1309, 1311, 1401-1402, 1405, 1511, 1513, 1515, 1522-1523
theano.sparse.sandbox 0 0 100%
theano.sparse.sandbox.sp 140 1 99% 109
theano.sparse.sandbox.sp2 9 0 100%
theano.sparse.sharedvar 17 0 100%
theano.sparse.utils 3 0 100%
theano.tensor 25 0 100%
theano.tensor.basic 2936 10 99% 59, 187-188, 190, 369, 419, 421-422, 1400, 6625
theano.tensor.blas 803 8 99% 161, 338-339, 435, 846, 848, 1905-1906
theano.tensor.blas_c 58 2 97% 267, 572
theano.tensor.blas_headers 8 3 63% 8, 793-794
theano.tensor.blas_scipy 42 1 98% 27
theano.tensor.deprecated 0 0 100%
theano.tensor.deprecated.rmodule 77 20 74% 7, 35-39, 53-57, 64-69, 101, 115, 124
theano.tensor.elemwise 821 2 99% 30, 727
theano.tensor.elemwise_cgen 130 1 99% 225
theano.tensor.extra_ops 234 2 99% 105, 269
theano.tensor.fourier 74 6 92% 52, 61, 65, 75, 79, 120
theano.tensor.inplace 97 2 98% 18-19
theano.tensor.io 31 3 90% 33, 40, 43
theano.tensor.nnet 6 0 100%
theano.tensor.nnet.Conv3D 146 12 92% 100, 105, 170-173, 336-340, 342-344
theano.tensor.nnet.ConvGrad3D 66 0 100%
theano.tensor.nnet.ConvTransp3D 121 5 96% 31, 57, 62, 67, 72
theano.tensor.nnet.conv 578 104 82% 30-31, 334, 389-396, 401-403, 408-415, 433, 444, 451, 601-706, 709, 784, 1099, 1104, 1110, 1117-1119, 1122
theano.tensor.nnet.nnet 695 62 91% 56, 59, 65-71, 239, 242, 245, 349, 432, 454, 638, 641, 644, 670, 672-673, 676, 680, 686-694, 699-701, 714, 718, 853-858, 1251, 1273, 1428, 1445, 1453, 1486-1487, 1496-1497, 1501, 1504, 1570, 1609, 1613, 1657, 1660, 1711-1715, 1725-1727
theano.tensor.nnet.sigm 307 32 90% 29, 58, 74-78, 80, 93, 97, 103, 166, 204, 316, 323, 447, 607-608, 612-615, 625, 627-628, 630-635, 646
theano.tensor.opt 2078 18 99% 263, 567, 931, 1367-1377, 1410, 4156, 4161, 4187, 4615-4616
theano.tensor.opt_uncanonicalize 47 2 96% 70-71
theano.tensor.randomstreams 69 0 100%
theano.tensor.raw_random 324 11 97% 55-56, 160-161, 227, 244, 337, 526-527, 652, 677
theano.tensor.shared_randomstreams 47 1 98% 90
theano.tensor.sharedvar 36 4 89% 14, 86-88
theano.tensor.signal 0 0 100%
theano.tensor.signal.conv 38 8 79% 49-59
theano.tensor.signal.downsample 136 41 70% 14-16, 32, 84, 91-92, 95-96, 124, 131-151, 268-277, 284-286
theano.tensor.sort 70 1 99% 145
theano.tensor.utils 31 0 100%
theano.tensor.xlogx 42 10 76% 14-16, 18, 31, 42-44, 46, 59
theano.updates 36 4 89% 61-64
theano.version 8 0 100%
---------------------------------------------------------------------
TOTAL 33508 3739 89%
----------------------------------------------------------------------
Ran 2364 tests in 3413.043s

OK (KNOWNFAIL=16, SKIP=25)
-------------------------------------------------------------------
PyCUDA ERROR: The context stack was not empty upon module cleanup.
-------------------------------------------------------------------
A context was still active when the context stack was being
cleaned up. At this point in our execution, CUDA may already
have been deinitialized, so there is no way we can finish
cleanly. The program will be aborted now.
Use Context.pop() to avoid this problem.
-------------------------------------------------------------------
/Tmp/nightly_build/Theano/theano/misc/do_nightly_build: line 62: 6463 Aborted THEANO_FLAGS=cmodule.warn_no_version=True,${FLAGS},mode=FAST_RUN ${NOSETESTS} ${PROFILING} ${ARGS}
Number of elements in the compiledir:
9423
Executing nosetests with mode=FAST_RUN,floatX=float32
Using gpu device 0: GeForce GTX 285
.......................................K............../part/01/Tmp/nightly_build/Theano/theano/compile/tests/test_inplace_opt_for_value.py:170: UserWarning: theano modules are deprecated and will be removed in release 0.7
super(ExampleRNN, self).__init__()
.............................................................................................WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:82faf80828fa7b944a943516b17a94cb', (<theano.gof.tests.test_compute_test_value.IncOneC object at 0x533cd5d0>, ((Scalar(int32), ((-1, 0), False)),), (1, (False,)))))])
...............................................................................................................SS............................................................................................................................................................................................................................................./opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/signal/signaltools.py:408: ComplexWarning: Casting complex values to real discards the imaginary part
return sigtools._convolve2d(in1,in2,1,val,bval,fillvalue)
...................................................................SS...SSSSS...........................................................................KK........................................WARNING: unused streams above 512 (Tune GPU_mrg get_n_streams)
........WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:82faf80828fa7b944a943516b17a94cb', (<theano.scalar.basic.Composite object at 0x53130990>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False)), (Scalar(float64), ((-1, 2), False))), (1, (False, False, False)))))])
.WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:82faf80828fa7b944a943516b17a94cb', (<theano.scalar.basic.Composite object at 0x5324ad10>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (False,)))))])
.WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:82faf80828fa7b944a943516b17a94cb', (<theano.scalar.basic.Composite object at 0x52fb3850>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (False,)))))])
.............K........../part/01/Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:758: UserWarning: MRG_RandomStreams Can't determine #streams from size (Shape.0), guessing 60*256
nstreams = self.n_streams(size)
..................K...............K............................................../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/data.py:54: ComplexWarning: Casting complex values to real discards the imaginary part
return self._with_data(self.data.astype(t))
/part/01/Tmp/nightly_build/Theano/theano/sparse/tests/test_basic.py:1960: ComplexWarning: Casting complex values to real discards the imaginary part
expected = data.toarray().astype(o_dtype)
..../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/compressed.py:486: SparseEfficiencyWarning: changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/compressed.py:486: SparseEfficiencyWarning: changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
.....................................S.......S......................................................................................................................................................................................S.SS.........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................K..............................................................................................................................S.............
....................................................................................................................................................................K..KKKK.K................................................K.............../part/01/Tmp/nightly_build/Theano/theano/tensor/tests/test_naacl09.py:64: UserWarning: RandomStreams is deprecated and will be removed in release 0.7. Use shared_randomstreams.RandomStreams or MRG_RandomStreams instead.
self.random = T.RandomStreams()
.....................................................S.S..S................................................K......K..................................................................................................................................................SS...SSSSS........................................................
----------------------------------------------------------------------
Ran 2364 tests in 2724.457s

OK (KNOWNFAIL=16, SKIP=25)
-------------------------------------------------------------------
PyCUDA ERROR: The context stack was not empty upon module cleanup.
-------------------------------------------------------------------
A context was still active when the context stack was being
cleaned up. At this point in our execution, CUDA may already
have been deinitialized, so there is no way we can finish
cleanly. The program will be aborted now.
Use Context.pop() to avoid this problem.
-------------------------------------------------------------------
/Tmp/nightly_build/Theano/theano/misc/do_nightly_build: line 67: 20292 Aborted THEANO_FLAGS=${FLAGS},mode=FAST_RUN,floatX=float32 ${NOSETESTS} ${ARGS}
Number of elements in the compiledir:
9424
Executing nosetests with linker=vm,vm.lazy=True,floatX=float32
Using gpu device 0: GeForce GTX 285
.......................................K............../part/01/Tmp/nightly_build/Theano/theano/compile/tests/test_inplace_opt_for_value.py:170: UserWarning: theano modules are deprecated and will be removed in release 0.7
super(ExampleRNN, self).__init__()
.............................................................................................WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:ff41a0ea4ac4765c76114505d798ef36', (<theano.gof.tests.test_compute_test_value.IncOneC object at 0x53b86d90>, ((Scalar(int32), ((-1, 0), False)),), (1, (False,)))))])
...............................................................................................................SS............................................................................................................................................................................................................................................./opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/signal/signaltools.py:408: ComplexWarning: Casting complex values to real discards the imaginary part
return sigtools._convolve2d(in1,in2,1,val,bval,fillvalue)
...................................................................SS...SSSSS...........................................................................KK........................................WARNING: unused streams above 512 (Tune GPU_mrg get_n_streams)
........WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:ff41a0ea4ac4765c76114505d798ef36', (<theano.scalar.basic.Composite object at 0x53506650>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False)), (Scalar(float64), ((-1, 2), False))), (1, (False, False, False)))))])
.WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:ff41a0ea4ac4765c76114505d798ef36', (<theano.scalar.basic.Composite object at 0x51b2ae90>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (False,)))))])
.WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:ff41a0ea4ac4765c76114505d798ef36', (<theano.scalar.basic.Composite object at 0x536adc90>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (False,)))))])
.............K........../part/01/Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:758: UserWarning: MRG_RandomStreams Can't determine #streams from size (Shape.0), guessing 60*256
nstreams = self.n_streams(size)
..................K...............K............................................../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/data.py:54: ComplexWarning: Casting complex values to real discards the imaginary part
return self._with_data(self.data.astype(t))
/part/01/Tmp/nightly_build/Theano/theano/sparse/tests/test_basic.py:1960: ComplexWarning: Casting complex values to real discards the imaginary part
expected = data.toarray().astype(o_dtype)
..../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/compressed.py:486: SparseEfficiencyWarning: changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/compressed.py:486: SparseEfficiencyWarning: changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
.....................................S.......S......................................................................................................................................................................................S.SS.........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................K..............................................................................................................................S.............
....................................................................................................................................................................K..KKKK.K................................................K.............../part/01/Tmp/nightly_build/Theano/theano/tensor/tests/test_naacl09.py:64: UserWarning: RandomStreams is deprecated and will be removed in release 0.7. Use shared_randomstreams.RandomStreams or MRG_RandomStreams instead.
self.random = T.RandomStreams()
.....................................................S.S..S................................................K......K..................................................................................................................................................SS...SSSSS........................................................
----------------------------------------------------------------------
Ran 2364 tests in 2766.823s

OK (KNOWNFAIL=16, SKIP=25)
-------------------------------------------------------------------
PyCUDA ERROR: The context stack was not empty upon module cleanup.
-------------------------------------------------------------------
A context was still active when the context stack was being
cleaned up. At this point in our execution, CUDA may already
have been deinitialized, so there is no way we can finish
cleanly. The program will be aborted now.
Use Context.pop() to avoid this problem.
-------------------------------------------------------------------
/Tmp/nightly_build/Theano/theano/misc/do_nightly_build: line 72: 21870 Aborted THEANO_FLAGS=${FLAGS},linker=vm,vm.lazy=True,floatX=float32 ${NOSETESTS} ${ARGS}
Number of elements in the compiledir:
9424
Executing nosetests with mode=DEBUG_MODE with seed of the day 12331
Using gpu device 0: GeForce GTX 285
.......................................K............../part/01/Tmp/nightly_build/Theano/theano/compile/tests/test_inplace_opt_for_value.py:170: UserWarning: theano modules are deprecated and will be removed in release 0.7
super(ExampleRNN, self).__init__()
.............................................................................................WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.gof.tests.test_compute_test_value.IncOneC object at 0x56c96d90>, ((Scalar(int32), ((-1, 0), False)),), (1, (False,)))))])
...............................................................................................................SS..............................................................................................................................................WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'Gemv{inplace}(a, TensorConstant{0.20000000298}, b, c, TensorConstant{1.0})'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'Gemv{inplace}(a, TensorConstant{0.20000000298}, b.T.T, c, TensorConstant{1.0})'
............................................................................................../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/signal/signaltools.py:408: ComplexWarning: Casting complex values to real discards the imaginary part
return sigtools._convolve2d(in1,in2,1,val,bval,fillvalue)
........../part/01/Tmp/nightly_build/Theano/theano/tensor/nnet/conv.py:681: ComplexWarning: Casting complex values to real discards the imaginary part
img2d[b,im0,...], filtersflipped[n,im0,...],1,val, bval, 0)
.....................................S.......WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'if{inplace,gpu}(c, GpuAlloc.0, GpuAlloc.0)'
.WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'if{inplace,gpu}(c, GpuFromHost.0, GpuFromHost.0)'
.WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'if{inplace}(c, <Generic>, <Generic>)'
.SSWARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'if{inplace,gpu}(c, GpuFromHost.0, GpuFromHost.0, GpuFromHost.0, GpuFromHost.0)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 2 marked as viewed but new memory allocated by node 'if{inplace,gpu}(c, GpuFromHost.0, GpuFromHost.0, GpuFromHost.0, GpuFromHost.0)'
.WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'if{inplace}(c, Alloc.0, Alloc.0, Alloc.0, Alloc.0)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 2 marked as viewed but new memory allocated by node 'if{inplace}(c, Alloc.0, Alloc.0, Alloc.0, Alloc.0)'
..SSSSS...........................................................................KK.....................................WARNING: unused streams above 1024 (Tune GPU_mrg get_n_streams)
..WARNING: unused streams above 768 (Tune GPU_mrg get_n_streams)
.........WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.scalar.basic.Composite object at 0x596d72d0>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False)), (Scalar(float64), ((-1, 2), False))), (1, (False, False, False)))))])
.WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.scalar.basic.Composite object at 0x64219590>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (False,)))))])
.WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((3, (4,), (4,), (4,)), (10, '1.6.1'), (10, '1.6.1'), (10, '1.6.1')), ('CLinker.cmodule_key', ('-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fno-math-errno'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', 'c_compiler_str=g++ 4.5.1', 'md5:704a594d99be3f68ef097e7458d18568', (<theano.scalar.basic.Composite object at 0x705c9910>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (False,)))))])
.............K........../part/01/Tmp/nightly_build/Theano/theano/sandbox/rng_mrg.py:758: UserWarning: MRG_RandomStreams Can't determine #streams from size (Shape.0), guessing 60*256
nstreams = self.n_streams(size)
..................K...............K.K.................................WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as viewed but new memory allocated by node '<theano.sparse.basic.CSM object at 0x5dbf9590>(input 0, TensorConstant{[ 0 1 4 .. 11 14 15]}, TensorConstant{[ 0 4 8 .. 28 32 36]}, TensorConstant{[16 9]})'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as viewed but new memory allocated by node '<theano.sparse.basic.CSM object at 0x66719c50>(input 0, TensorConstant{[ 0 1 4 .. 11 14 15]}, TensorConstant{[ 0 4 8 .. 28 32 36]}, TensorConstant{[16 9]})'
.....WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as viewed but new memory allocated by node '<theano.sparse.basic.CSM object at 0x6c1edad0>(<TensorType(float64, vector)>, TensorConstant{[ 0 1..1022 1023]}, TensorConstant{[ 0 ..575 19600]}, TensorConstant{[1024 784]})'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as viewed but new memory allocated by node '<theano.sparse.basic.CSM object at 0x584cdcd0>(<TensorType(float64, vector)>, TensorConstant{[ 0 1 ..9 254 255]}, TensorConstant{[ 0 9..4896 4900]}, TensorConstant{[256 784]})'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as viewed but new memory allocated by node '<theano.sparse.basic.CSM object at 0x57786410>(<TensorType(float64, vector)>, TensorConstant{[ 0 0 ..4 575 575]}, TensorConstant{[ 0 ..399 14400]}, TensorConstant{[576 784]})'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as viewed but new memory allocated by node '<theano.sparse.basic.CSM object at 0x6dba5d10>(<TensorType(float64, vector)>, TensorConstant{[ 0 0 ..3 143 143]}, TensorConstant{[ 0 1..3600 3600]}, TensorConstant{[144 784]})'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as viewed but new memory allocated by node '<theano.sparse.basic.CSM object at 0x8ab2ac90>(<TensorType(float64, vector)>, TensorConstant{[ 0 1..1022 1023]}, TensorConstant{[ 0 ..575 19600]}, TensorConstant{[1024 784]})'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as viewed but new memory allocated by node '<theano.sparse.basic.CSM object at 0x8ab45990>(<TensorType(float64, vector)>, TensorConstant{[ 0 1 ..9 254 255]}, TensorConstant{[ 0 9..4896 4900]}, TensorConstant{[256 784]})'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as viewed but new memory allocated by node '<theano.sparse.basic.CSM object at 0x6e3104d0>(<TensorType(float64, vector)>, TensorConstant{[ 0 0 ..4 575 575]}, TensorConstant{[ 0 ..399 14400]}, TensorConstant{[576 784]})'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as viewed but new memory allocated by node '<theano.sparse.basic.CSM object at 0x5f712bd0>(<TensorType(float64, vector)>, TensorConstant{[ 0 0 ..3 143 143]}, TensorConstant{[ 0 1..3600 3600]}, TensorConstant{[144 784]})'
.WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[2 2 1 2 1 2]}, TensorConstant{[0 1 2 4 6]}, TensorConstant{[3 4]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 1, TensorConstant{[2 2 1 2 1 2]}, TensorConstant{[0 1 2 4 6]}, TensorConstant{[3 4]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 2 1 2 3 0 1 2 3]}, TensorConstant{[0 2 5 9]}, TensorConstant{[3 4]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 1, TensorConstant{[0 2 1 2 3 0 1 2 3]}, TensorConstant{[0 2 5 9]}, TensorConstant{[3 4]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
...../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/data.py:54: ComplexWarning: Casting complex values to real discards the imaginary part
return self._with_data(self.data.astype(t))
/part/01/Tmp/nightly_build/Theano/theano/sparse/tests/test_basic.py:1960: ComplexWarning: Casting complex values to real discards the imaginary part
expected = data.toarray().astype(o_dtype)
..../opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/compressed.py:486: SparseEfficiencyWarning: changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/scipy/sparse/compressed.py:486: SparseEfficiencyWarning: changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
.WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 3 4 5 7..1 4 6 1 2]}, TensorConstant{[ 0 5 8 .. 37 40 42]}, TensorConstant{[ 8 10]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[1 6 1 2 7..9 1 3 5 7]}, TensorConstant{[ 0 2 7 .. 25 32 36]}, TensorConstant{[ 8 10]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
.............WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 1 2]}, TensorConstant{[0 0 3 3 3]}, TensorConstant{[4 3]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 2 0]}, TensorConstant{[0 0 0 2 3]}, TensorConstant{[4 3]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[2 3 2]}, TensorConstant{[0 2 2 3]}, TensorConstant{[4 3]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..............WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 3 4 5 7..6 1 2 8 9]}, TensorConstant{[ 0 6 11 .. 48 51 55]}, TensorConstant{(2,) of 10}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 2 5 7 8..1 6 7 8 9]}, TensorConstant{[ 0 6 14 .. 44 49 54]}, TensorConstant{(2,) of 10}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[1 2 3 5 7..2 4 0 6 7]}, TensorConstant{[ 0 5 11 .. 49 51 54]}, TensorConstant{(2,) of 10}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[1 2 3 5 6..1 2 5 6 7]}, TensorConstant{[ 0 7 11 .. 45 49 54]}, TensorConstant{(2,) of 10}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 1 2 3 1..1 3 5 7 9]}, TensorConstant{[ 0 4 9 .. 41 48 54]}, TensorConstant{(2,) of 10}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
......WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(<TensorType(float64, vector)>, <TensorType(int32, vector)>, <TensorType(int32, vector)>, <TensorType(int32, vector)>, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
...S.......S....................WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{arcsin,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[2 3 0 1 2..1 0 0 1 2]}, TensorConstant{[ 0 2 5 .. 10 11 14]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[1 2 3 0 1..2 3 1 3 3]}, TensorConstant{[ 0 3 6 .. 12 14 15]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[1 0 1 2 3..4 0 4 5 6]}, TensorConstant{[ 0 1 6 11 15]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{arcsinh,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 2 0 1 2..2 3 2 2 2]}, TensorConstant{[ 0 2 5 .. 13 14 15]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{arctan,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{arctanh,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 2 3 0 2..3 2 0 1 2]}, TensorConstant{[ 0 3 5 .. 11 12 15]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
E..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{deg2rad,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 2 3 0 1..1 3 1 3 1]}, TensorConstant{[ 0 1 2 .. 8 10 11]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{expm1,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[3 2 0 1 1..3 0 2 3 3]}, TensorConstant{[ 0 1 2 .. 9 12 13]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
...WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{log1p,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 1 3 0 1..0 1 2 3 3]}, TensorConstant{[ 0 3 7 .. 15 19 20]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{rad2deg,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[2 3 1 2 1..2 3 1 2 3]}, TensorConstant{[ 0 2 4 .. 9 12 15]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
....WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{sin,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[2 3 0 1 2..0 3 0 2 2]}, TensorConstant{[ 0 2 6 .. 10 12 13]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{sinh,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{sqr,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{sqrt}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{add,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{exp}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{log,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{maximum,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{minimum,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{pow,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{scalar_sigmoid}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{tan,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[1 2 3 1 2..3 3 0 1 0]}, TensorConstant{[ 0 3 5 .. 9 11 12]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{tanh}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
.............WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{(3,) of 1}, TensorConstant{[0 1 2 3]}, TensorConstant{[4 3]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
.WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(<TensorType(float32, vector)>, <TensorType(int32, vector)>, <TensorType(int32, vector)>, <TensorType(int32, vector)>, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
...WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[2 1 3]}, TensorConstant{[0 1 1 3]}, TensorConstant{[4 3]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[2 0 2]}, TensorConstant{[0 0 1 2 3]}, TensorConstant{[4 3]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{(2,) of 2}, TensorConstant{[0 0 1 1 2]}, TensorConstant{[4 3]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
.....................................................................................................S.SS.......................................................................................................................................................................WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'CGemv{inplace}(TensorConstant{(1,) of 0.0}, TensorConstant{1.0}, InplaceDimShuffle{x,0}.0, <TensorType(float64, vector)>, TensorConstant{1.0})'
................................................................................................................................................................................................................................................................................................................................................................................................................................................WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'ScipyGer{destructive}(TensorConstant{(1, 1) of 0j}, TensorConstant{(1+0j)}, InplaceDimShuffle{x}.0, InplaceDimShuffle{x}.0)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'ScipyGer{destructive}(TensorConstant{(1, 1) of 0j}, TensorConstant{(1+0j)}, InplaceDimShuffle{x}.0, InplaceDimShuffle{1}.0)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'ScipyGer{destructive}(Alloc.0, TensorConstant{(1+0j)}, InplaceDimShuffle{x}.0, InplaceDimShuffle{1}.0)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'ScipyGer{destructive}(TensorConstant{(1, 1) of 0j}, TensorConstant{(1+0j)}, InplaceDimShuffle{0}.0, InplaceDimShuffle{x}.0)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'ScipyGer{destructive}(Alloc.0, TensorConstant{(1+0j)}, InplaceDimShuffle{0}.0, InplaceDimShuffle{x}.0)'
..................K..............................................................................................................................S.....KK..........................WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'Gemv{inplace}(<TensorType(float32, vector)>, TensorConstant{1.0}, <TensorType(float32, matrix)>, <TensorType(float32, vector)>, TensorConstant{1.0})'
...........................................................................................WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'CGemv{inplace}(a, TensorConstant{0.20000000298}, b, c, TensorConstant{1.0})'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'CGemv{inplace}(a, TensorConstant{0.20000000298}, b.T.T, c, TensorConstant{1.0})'
..WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'CGemv{inplace}(<TensorType(float32, vector)>, TensorConstant{1.0}, <TensorType(float32, matrix)>, <TensorType(float32, vector)>, TensorConstant{1.0})'
........................................WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'ScipyGer{destructive}(a, TensorConstant{0.20000000298}, b, c)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'ScipyGer{destructive}(a.T, TensorConstant{0.20000000298}, c, b)'
.WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'ScipyGer{destructive}(<TensorType(float64, matrix)>, TensorConstant{1.0}, <TensorType(float64, vector)>, <TensorType(float64, vector)>)'
.WARNING (theano.compile.debugmode): Optimization Warning: input idx 0 marked as destroyed was not changed for node 'ScipyGer{destructive}(<TensorType(float64, matrix)>, TensorConstant{0.1}, <TensorType(float64, vector)>, <TensorType(float64, vector)>)'
.........K..KKKK.K................................................K.............../part/01/Tmp/nightly_build/Theano/theano/tensor/tests/test_naacl09.py:64: UserWarning: RandomStreams is deprecated and will be removed in release 0.7. Use shared_randomstreams.RandomStreams or MRG_RandomStreams instead.
self.random = T.RandomStreams()
.....................................................S.S..S................................................K......K...............................................................................................................................................WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'if{inplace}(c, Alloc.0, Alloc.0)'
.WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'if{inplace}(c, x, y)'
..SSWARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'if{inplace}(c, x1, x2, y1, y2)'
WARNING (theano.compile.debugmode): Optimization Warning: input idx 2 marked as viewed but new memory allocated by node 'if{inplace}(c, x1, x2, y1, y2)'
...SSSSS........................................................
======================================================================
ERROR: test_grad (theano.sparse.tests.test_basic.Tester)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Theano/theano/sparse/tests/test_basic.py", line 2387, in test_grad
structured=True)
File "/part/01/Tmp/nightly_build/Theano/theano/sparse/basic.py", line 220, in verify_grad_sparse
return utt.verify_grad(conv_op, dpt, *args, **kwargs)
File "/part/01/Tmp/nightly_build/Theano/theano/tests/unittest_tools.py", line 77, in verify_grad
T.verify_grad(op, pt, n_tests, rng, *args, **kwargs)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 910, in verify_grad
max_abs_err, max_rel_err, abs_tol, rel_tol)
GradientError: GradientError: numeric gradient and analytic gradient exceed tolerance:
At position 14 of argument 0,
abs. error = 2.533630, abs. tolerance = 0.010000
rel. error = 0.013135, rel. tolerance = 0.010000
Exception args:
-------------------- >> begin captured logging << --------------------
theano.compile.debugmode: WARNING: Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(Elemwise{arctanh,no_inplace}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
theano.compile.debugmode: WARNING: Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'CSMGrad{None}(input 0, TensorConstant{[0 2 3 0 2..3 2 0 1 2]}, TensorConstant{[ 0 3 5 .. 11 12 15]}, TensorConstant{[4 7]}, CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, CSMProperties{None}.3)'
--------------------- >> end captured logging << ---------------------

----------------------------------------------------------------------
Ran 2354 tests in 9847.958s

FAILED (KNOWNFAIL=19, SKIP=26, errors=1)
-------------------------------------------------------------------
PyCUDA ERROR: The context stack was not empty upon module cleanup.
-------------------------------------------------------------------
A context was still active when the context stack was being
cleaned up. At this point in our execution, CUDA may already
have been deinitialized, so there is no way we can finish
cleanly. The program will be aborted now.
Use Context.pop() to avoid this problem.
-------------------------------------------------------------------
/Tmp/nightly_build/Theano/theano/misc/do_nightly_build: line 79: 23206 Aborted THEANO_FLAGS=${FLAGS},unittests.rseed=$seed,mode=DEBUG_MODE,DebugMode.check_strides=0,DebugMode.patience=3,DebugMode.check_preallocated_output= ${NOSETESTS} ${ARGS}
Number of elements in the compiledir:
9426

Total test time: 348m 22s
Thu Aug 23 00:48:29 EDT 2012
20152.82user 424.42system 5:48:21elapsed 98%CPU (0avgtext+0avgdata 3333764maxresident)k
1584520inputs+997008outputs (2972major+39123421minor)pagefaults 0swaps