Summary of the output:
Executing tests with mode=FAST_COMPILE with --batch=1000
File "/part/01/Tmp/nightly_build/Theano/theano/gof/tests/test_cmodule.py", line 47, in test_inter_process_cache
AssertionError
Executing tests with mode=FAST_RUN
Executing tests with mode=FAST_RUN,floatX=float32
File "/part/01/Tmp/nightly_build/Theano/theano/gof/tests/test_cmodule.py", line 46, in test_inter_process_cache
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/tests/test_scan.py", line 3851, in test_compute_test_value
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/tests/test_scan.py", line 3876, in test_compute_test_value_nonseq
Executing tests with linker=vm,vm.lazy=True,floatX=float32
File "/part/01/Tmp/nightly_build/Theano/theano/gof/tests/test_cmodule.py", line 46, in test_inter_process_cache
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/tests/test_scan.py", line 3851, in test_compute_test_value
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/tests/test_scan.py", line 3876, in test_compute_test_value_nonseq
Executing tests with mode=DEBUG_MODE with seed of the day 17112
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/test_neighbours.py", line 296, in test_grad_valid
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/test_neighbours.py", line 39, in test_neibs
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/test_neighbours.py", line 64, in test_neibs_manual
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/test_neighbours.py", line 109, in test_neibs_manual_step
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/test_neighbours.py", line 227, in test_neibs_wrap_centered_step_manual
Full output:
Fri May 17 19:00:14 EDT 2013
b321e0790ac7296dd59f3b03219e483433d4bdab
Number of elements in the compiledir:
20175
Executing tests with mode=FAST_COMPILE with --batch=1000
THEANO_FLAGS=on_shape_error=raise,on_opt_error=raise,,warn.argmax_pushdown_bug=False,warn.gpusum_01_011_0111_bug=False,warn.sum_sum_bug=False,warn.sum_div_dimshuffle_bug=False,warn.subtensor_merge_bug=False,compiledir=/Tmp/lisa_theano_compile_dir_theano,device=cpu,floatX=float64,mode=FAST_COMPILE /Tmp/nightly_build/Theano/bin/theano-nose --batch=1000
####################
# COLLECTING TESTS #
####################
/part/01/Tmp/nightly_build/Theano/theano/misc/pycuda_init.py:34: UserWarning: PyCUDA import failed in theano.misc.pycuda_init
warnings.warn("PyCUDA import failed in theano.misc.pycuda_init")
Using gpu device 0: GeForce GTX 285
..............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
..............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
----------------------------------------------------------------------
Ran 2553 tests in 255.989s
OK
###################################
# RUNNING TESTS IN BATCHES OF 1000 #
###################################
41% done (failed: 1)
82% done (failed: 1)
100% done (failed: 1)
################################
# RE-RUNNING FAILED TESTS ONLY #
################################
#148 When an op with c_code, but no version. If we have 2 apply node ... FAIL
======================================================================
FAIL: When an op with c_code, but no version. If we have 2 apply node
----------------------------------------------------------------------
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/gof/tests/test_cmodule.py", line 47, in test_inter_process_cache
assert MyOp.nb_called == 1
AssertionError
----------------------------------------------------------------------
Ran 1 test in 0.009s
FAILED (failures=1)
Number of elements in the compiledir:
20175
Executing tests with mode=FAST_RUN
THEANO_FLAGS=cmodule.warn_no_version=True,on_shape_error=raise,on_opt_error=raise,,warn.argmax_pushdown_bug=False,warn.gpusum_01_011_0111_bug=False,warn.sum_sum_bug=False,warn.sum_div_dimshuffle_bug=False,warn.subtensor_merge_bug=False,compiledir=/Tmp/lisa_theano_compile_dir_theano,device=cpu,floatX=float64,mode=FAST_RUN /Tmp/nightly_build/Theano/bin/theano-nose --with-coverage --cover-package=theano
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.BadSub object at 0x5b8add0>, <theano.gof.tests.test_cc.Div object at 0x5b8aed0>, <theano.gof.tests.test_cc.Add object at 0x5b8ad50>, <theano.gof.tests.test_cc.BadSub object at 0x5b8add0>, <theano.gof.tests.test_cc.Mul object at 0x5b8ae50>, <theano.gof.tests.test_cc.Add object at 0x5b8ad50>]
.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.BadSub object at 0x5b8add0>, <theano.gof.tests.test_cc.Div object at 0x5b8aed0>, <theano.gof.tests.test_cc.Add object at 0x5b8ad50>, <theano.gof.tests.test_cc.BadSub object at 0x5b8add0>, <theano.gof.tests.test_cc.Mul object at 0x5b8ae50>, <theano.gof.tests.test_cc.Add object at 0x5b8ad50>]
.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 0x5b8ad50>]
.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 0x5b8ad50>]
.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 0x5b8ad50>, <theano.gof.tests.test_cc.Mul object at 0x5b8ae50>, <theano.gof.tests.test_cc.Add object at 0x5b8ad50>]
.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.BadSub object at 0x5b8add0>]
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 0x5b8aed0>]
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 0x5b8ae50>]
...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 0x5b8ae50>, <theano.gof.tests.test_cc.Mul object at 0x5b8ae50>, <theano.gof.tests.test_cc.BadSub object at 0x5b8add0>]
.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 0x5b8af10>]
.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_cmodule.MyOp object at 0x91a44610>]
.......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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.gof.tests.test_compute_test_value.IncOneC object at 0x91e57910>, ((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 0x92087450>]
...........................................................SS..SSS.........................................................................................................................................................................................................................................../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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-
cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.scalar.basic.Composite object at 0xb360e490>, ((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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.scalar.basic.Composite object at 0xb55bf810>, ((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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.scalar.basic.Composite object at 0xb36050d0>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (
False,)))))])
...............K............/part/01/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)
.............................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:2039: 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.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.sparse.basic.AddSD object at 0x609b410>]
......S........S........................WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.sparse.basic.AddSD object at 0x609b410>]
WARNING (theano.gof.cmodule): not all the following op(s) implement c_code_cache_version(). This makes them recompiled for each process.[<theano.sparse.basic.AddSD object at 0x609b410>]
............................................................................................................................................S.SS........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSSS................................................................................................K...................................................................................................................................S.............................
......................................................................................................................................................K..KKKK.K...............................................................K........................../part/01/Tmp/nightly_build/Theano/theano/tensor/tests/test_naacl09.py:69: UserWarning: RandomStreams is deprecated and will be removed in release 0.7. Use shared_randomstreams.RandomStreams or MRG_RandomStreams instead.
self.random = T.randomstreams.RandomStreams()
.....................................................S.S..S.................................................K......K...................................................................................................................................................................SS...SSSSS..........K..................................WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (9, 10, '1.6.1'), (9, 10, '1.6.1')), ('CLinker.cmodule_key', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-lin
e-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.tests.test_tutorial.Fibby object at 0x8ff3290>, ((TensorType(float64, vector), ((-1, 0), False)),), (1, (True,)))))])
WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (9, 10, '1.6.1'), (9, 10, '1.6.1')), ('CLinker.cmodule_key', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.tests.test_tutorial.Fibby object at 0x8ff3290>, ((TensorType(float64, vector), (('cde2b94cb46074740fd69a5d40417166', 0, 0), False)),), (1, (False,)))))])
...........
Name Stmts Miss Cover Missing
---------------------------------------------------------------------
theano 73 12 84% 85, 90-92, 104, 108, 112, 139-140, 142-144, 175
theano.compat 24 14 42% 11-31
theano.compat.python2x 228 190 17% 13-93, 112-156, 191-296, 301-302, 312, 319-320, 324, 329-333, 336, 339
theano.compat.six 220 113 49% 34-40, 50, 58-60, 96-98, 111-119, 194, 199-205, 209-217, 232-234, 240-242, 246-249, 257, 272, 276, 280, 284-296, 299, 301, 310-321, 332-333, 344-385, 392
theano.compile 13 0 100%
theano.compile.builders 45 5 89% 39, 42, 45, 67, 105
theano.compile.debugmode 1212 285 76% 108-114, 172-229, 285, 290-361, 384-405, 429-436, 440-443, 475-495, 700, 869, 873, 877, 948-971, 974-977, 982-990, 1003-1024, 1028, 1072-1078, 1084-1088, 1106, 1172-1218, 1221-1224, 1229-1238, 1242-1248, 1251-1254, 1260, 1267, 1280, 1320, 1673-1678, 1705-1706, 2265, 2277-2279, 2285, 2303, 2324, 2351, 2486, 2493
theano.compile.function 35 0 100%
theano.compile.function_module 673 55 92% 138, 297, 352-354, 359-360, 362-364, 383, 631, 673, 725-726, 736, 750-753, 765-767, 770-772, 875, 878, 881-883, 923, 965, 971, 1209, 1219, 1223, 1290, 1303, 1348, 1351-1362, 1377-1385, 1400-1410, 1416
theano.compile.io 74 23 69% 73-76, 79, 95, 105-106, 114, 126-136, 212, 234, 252, 255
theano.compile.mode 174 25 86% 41-59, 81-83, 115-116, 162-164, 284, 302, 311, 335, 363, 384
theano.compile.module 623 135 78% 47-54, 107, 121-125, 128, 131, 144, 183, 186, 208, 210-211, 330, 451, 510, 512-531, 534, 537-538, 582, 590, 611-618, 631-641, 666-669, 676, 678-683, 692, 723, 734, 737, 739-743, 749, 753, 757, 759-762, 765, 767-770, 773, 776, 779, 783-786, 795, 797-799, 812, 814-819, 855, 869, 882, 886-891, 894, 920, 1059, 1064, 1084, 1086-1090, 1095-1098, 1117-1118, 1200, 1212, 1229-1240
theano.compile.monitormode 14 1 93% 50
theano.compile.ops 82 6 93% 60, 68-72, 81, 158-162
theano.compile.pfunc 182 2 99% 235, 252
theano.compile.profilemode 360 254 29% 50, 156-158, 168-185, 195, 221-254, 271, 273-295, 321-608, 613, 616-619, 634-635
theano.compile.profiling 474 389 18% 59-78, 83-85, 88-96, 186, 204, 209, 214-216, 218-219, 224-225, 227-229, 234, 236-239, 245-254, 259-263, 268-272, 277-280, 286-292, 297-314, 321-368, 371-407, 410-457, 460-496, 499-557, 562-584, 587-609, 612-797, 801-815, 1125-1126, 1136-1161
theano.compile.sandbox 0 0 100%
theano.compile.sharedvalue 62 6 90% 130-142, 202
theano.configdefaults 86 3 97% 408-409, 422
theano.configparser 170 16 91% 28, 48-49, 109, 127-131, 153-155, 288, 314, 337, 365
theano.gof 12 0 100%
theano.gof.callcache 33 26 21% 7-15, 18-25, 28-38, 41-45
theano.gof.cc 638 17 97% 19-26, 37, 89, 92, 525, 539, 571, 756, 784, 1076, 1104, 1176, 1224, 1397
theano.gof.cmodule 825 118 86% 236, 265, 333-336, 342, 482, 493-502, 656, 671-674, 678-679, 685-688, 708, 727-728, 734, 740-745, 750, 824, 833, 840, 853-857, 1163-1170, 1179, 1182, 1190-1198, 1220-1227, 1241-1242, 1245, 1247-1258, 1273-1324, 1331-1333, 1650, 1660, 1666, 1679, 1703, 1821-1825, 1845
theano.gof.compiledir 182 115 37% 111-116, 151, 185-193, 195-196, 198-220, 224-302, 307, 311-333, 337
theano.gof.compilelock 143 40 72% 29-35, 61-64, 80-82, 105, 145-150, 173, 178-181, 185-189, 194-202, 224, 236, 241-245, 293, 297
theano.gof.cutils 48 24 50% 18-47, 217-253, 268, 277-290
theano.gof.destroyhandler 235 12 95% 230-238, 760, 762-766, 818
theano.gof.fg 325 85 74% 157-166, 257-302, 440-441, 448, 458, 492, 528-535, 600, 608-610, 613-615, 623-641, 644, 646-650, 652-654, 660, 667, 671-678
theano.gof.graph 401 35 91% 40, 94, 97, 112, 116, 138-141, 144-146, 149-151, 154-156, 171, 225, 350, 374, 378, 382, 386, 390-392, 395-397, 400-402, 405-407, 707, 768-769, 771
theano.gof.lazylinker_c 70 37 47% 22-23, 36, 45-46, 49, 53, 58-82, 85-92, 98-107
theano.gof.link 295 37 87% 18-34, 50, 102, 107, 135, 201, 204, 244, 284-286, 298, 330, 333, 338, 360, 366-370, 394, 499, 616
theano.gof.null_type 18 7 61% 22, 25, 28, 31, 34, 37, 40
theano.gof.op 224 20 91% 337, 410, 424, 447-448, 490, 675, 682-688, 734, 779, 795-800, 818-820
theano.gof.opt 928 142 85% 37, 56, 182, 197, 200-201, 211-248, 252, 259-313, 335-336, 340, 343-346, 366-369, 379, 767, 839, 938-940, 944, 1059, 1062-1063, 1141, 1175, 1342, 1516-1518, 1523-1529, 1533, 1540-1543, 1548-1552, 1559-1593, 1596, 1602, 1740-1741, 1744-1746
theano.gof.optdb 155 15 90% 39, 47, 71, 124, 132-134, 154, 249, 252-254, 257-258, 261
theano.gof.python25 1 0 100%
theano.gof.sched 78 4 95% 106, 144-146
theano.gof.toolbox 184 33 82% 104-105, 122-123, 160, 174-175, 193-196, 235, 243, 254, 263-267, 273-280, 295, 308, 312, 316, 320, 324-325
theano.gof.type 83 10 88% 97, 138, 179, 200, 248, 269, 306, 325, 344, 409
theano.gof.unify 197 118 40% 38, 40, 53-54, 62-63, 71-72, 82, 128, 190-195, 202-203, 210-213, 220-224, 231-235, 242-243, 250, 257-264, 271-273, 280-287, 294-296, 303-309, 316-321, 329-333, 342-346, 355-356, 359, 366, 370, 374, 378, 382, 386-395, 399, 403-407, 416-420, 427, 434-438, 446-474
theano.gof.utils 220 75 66% 20, 49, 56, 59, 63-64, 105-107, 109-111, 113, 132-133, 142-144, 146-149, 154-161, 166-168, 172, 174, 176-180, 195, 198, 211-213, 230-231, 233-239, 241, 245, 247, 251, 259, 261, 276, 282, 301-314, 336, 342-346, 350, 353, 356, 361-363, 399
theano.gof.vm 398 45 89% 36, 113, 123, 127-138, 142, 154-157, 165, 185, 189-198, 215-216, 393-398, 457-458, 476-478, 484, 494, 517-526, 582-583
theano.gradient 615 0 100%
theano.ifelse 356 176 51% 88, 99-106, 131, 137, 191, 197-198, 382, 457-493, 498-517, 522-542, 548, 551-592, 597-643, 648-697
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.ordered_set 111 54 51% 4-6, 106-107, 110, 115-120, 123-125, 132-172, 174-197, 200-206, 217-220
theano.misc.pycuda_init 35 11 69% 15, 18, 30, 35-42, 57
theano.misc.safe_asarray 13 2 85% 31, 48
theano.misc.strutil 34 26 24% 17-29, 33-35, 38-55, 58-60
theano.misc.windows 20 6 70% 11-23
theano.printing 655 207 68% 92, 213, 253, 258-267, 300-307, 317-319, 344, 371, 373, 376, 382-421, 433, 435, 453, 559, 561-562, 588-598, 601, 625, 773-781, 802-814, 831-958, 961, 1091-1092, 1113-1114, 1131-1134, 1143-1149, 1159-1161
theano.sandbox 0 0 100%
theano.sandbox.cuda 205 55 73% 44, 113, 142-172, 197-203, 220-222, 315-316, 331-336, 345, 364-367, 401, 405-412, 460, 470-474, 482-491
theano.sandbox.cuda.basic_ops 986 77 92% 22, 49, 76, 132, 154, 316, 384, 389, 443, 2213-2218, 2220-2224, 2230-2231, 2246, 2819, 2822, 2916, 2925, 2937, 2949, 2980, 2991-2992, 2994, 3003-3004, 3006, 3015-3016, 3018, 3027-3028, 3030, 3039-3040, 3042, 3051-3052, 3055, 3063-3107
theano.sandbox.cuda.blas 285 12 96% 27, 29, 108, 110, 112, 326, 511-513, 584, 616, 740
theano.sandbox.cuda.elemwise 466 202 57% 168-261, 267-416, 527, 533-540, 580-589, 621-631, 655-664, 715, 717-724, 736, 784-787, 883-884, 905, 1050-1054
theano.sandbox.cuda.kernel_codegen 61 38 38% 14-23, 34, 64-69, 109, 115, 121, 143, 194-213, 252, 285-316
theano.sandbox.cuda.neighbours 39 5 87% 39, 191, 193-195
theano.sandbox.cuda.nnet 102 20 80% 91, 93-95, 231, 241-243, 370, 382-383, 476, 515, 534, 547-549, 655-701
theano.sandbox.cuda.nvcc_compiler 231 23 90% 37, 84-89, 95-100, 149, 223, 312, 315-316, 321-322, 376, 383-384
theano.sandbox.cuda.opt 787 26 97% 257, 333-337, 341-347, 350-358, 361-362, 366-368, 618, 658, 681
theano.sandbox.cuda.rng_curand 120 8 93% 134, 268, 277-281, 302, 330
theano.sandbox.cuda.type 165 15 91% 90, 102, 108, 128, 134, 136, 160, 178, 215-216, 250, 267, 421, 425, 483
theano.sandbox.cuda.var 91 22 76% 51, 148-167, 184, 203-205
theano.sandbox.linalg 1 0 100%
theano.sandbox.linalg.kron 32 1 97% 9
theano.sandbox.linalg.ops 578 59 90% 21-23, 38, 54, 65-71, 79-84, 122, 157-159, 199, 211-223, 251-252, 261-267, 283-284, 297-301, 315-317, 864-869, 874-878, 890-891, 981-984
theano.sandbox.multinomial 111 31 72% 29-30, 35, 37, 45-47, 125-150, 165, 167, 171, 173, 182
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 133 68 49% 46, 112-206, 438
theano.sandbox.rng_mrg 341 79 77% 36, 90-136, 170, 173, 188-217, 230-231, 399-400, 492, 641, 661, 663, 665-676
theano.sandbox.scan 315 68 78% 123-126, 145, 159-175, 204-208, 281-284, 292, 307-356, 365-370, 376, 386, 407, 417-436, 476, 536, 686-687
theano.sandbox.scan_module 5 0 100%
theano.sandbox.scan_module.scan 151 133 12% 321-536, 548-582
theano.sandbox.scan_module.scan_op 238 206 13% 43-82, 87-88, 92, 94-97, 100-117, 120-127, 129-133, 136-143, 146-153, 178-342, 345, 348, 358-359, 363-380
theano.sandbox.scan_module.scan_utils 224 189 16% 46-52, 60-63, 73-74, 84-146, 186-295, 310-347, 363-373, 378-381, 384, 387, 390-393, 397-400, 403-417, 420-422, 425-426
theano.sandbox.softsign 23 13 43% 9, 11, 13-19, 21-25
theano.sandbox.theano_object 77 45 42% 12-15, 49-50, 53, 56, 59, 62, 65, 75, 78, 104-108, 144, 161-196, 210-224
theano.scalar 2 0 100%
theano.scalar.basic 1614 29 98% 74-75, 85-86, 111-114, 150-152, 202, 283, 414-423, 712-714, 720-721, 1022, 1024, 1027-1028, 1895-1897
theano.scalar.basic_scipy 138 12 91% 18-19, 52-53, 73, 100, 136, 163, 214, 217-218, 267
theano.scalar.sharedvar 22 1 95% 42
theano.scan_module 8 0 100%
theano.scan_module.scan 382 17 96% 373, 387-389, 397, 472-476, 526, 602-603, 659-666, 695, 1023
theano.scan_module.scan_op 1162 186 84% 151-160, 448, 501-506, 834-1106, 1111, 1187, 1929, 2039, 2052, 2082-2109
theano.scan_module.scan_opt 943 62 93% 45, 49, 103, 449, 748, 1254-1264, 1267-1277, 1281-1296, 1325-1335, 1340, 1349-1360, 1369-1373, 1403-1404
theano.scan_module.scan_perform_ext 57 34 40% 28-29, 36-86
theano.scan_module.scan_utils 585 2 99% 51, 123
theano.scan_module.scan_views 18 1 94% 113
theano.sparse 16 4 75% 8-13
theano.sparse.basic 1430 77 95% 112, 222, 273, 276, 293, 578, 598, 721, 870, 873, 1056, 1105, 1114, 1368, 1567, 1578, 1799, 1804, 1807-1809, 1845, 1865, 1901, 2053, 2106, 2109, 2117, 2185, 2198, 2259-2262, 2297, 2332, 2361-2363, 2677, 2718, 2763-2767, 2772-2773, 2775, 2784, 2786, 2897-2912, 2920, 2922, 3230, 3320, 3381-3383, 3388-3389, 3392-3399
theano.sparse.opt 443 38 91% 63, 102-104, 111-112, 128-135, 292-295, 302-304, 321-325, 428-436, 1127, 1138, 1274-1275, 1433-1434, 1555, 1688
theano.sparse.sandbox 0 0 100%
theano.sparse.sandbox.sp 140 10 93% 30, 107-109, 225, 246, 257-260, 456
theano.sparse.sandbox.sp2 85 8 91% 81, 87, 133, 139, 185, 195, 202, 208
theano.sparse.sharedvar 16 0 100%
theano.sparse.type 81 15 81% 5-6, 19, 54, 60, 67, 75, 79, 83, 86, 121, 128, 148, 153-154
theano.sparse.utils 3 0 100%
theano.tensor 20 2 90% 45-50
theano.tensor.basic 3432 7 99% 209, 8283-8289
theano.tensor.blas 815 8 99% 179, 221, 237, 518, 1136, 1763, 1959-1960
theano.tensor.blas_c 58 3 95% 260, 267, 594
theano.tensor.blas_headers 60 32 47% 47-128, 924-934, 955-960, 966-967
theano.tensor.blas_scipy 38 0 100%
theano.tensor.deprecated 0 0 100%
theano.tensor.deprecated.rmodule 77 48 38% 7, 25-26, 34-39, 42, 52-57, 60-69, 72, 75, 78, 81, 92-96, 99-102, 105-124
theano.tensor.elemwise 898 14 98% 46, 796-802, 806, 850, 890, 893, 1654, 1998
theano.tensor.elemwise_cgen 130 1 99% 225
theano.tensor.extra_ops 255 16 94% 42, 97, 112, 121, 124, 134, 142, 153, 164-170, 244, 253, 398, 477
theano.tensor.fourier 72 19 74% 113-146
theano.tensor.inplace 95 1 99% 17
theano.tensor.io 140 15 89% 125-129, 165-170, 209-214, 243-245
theano.tensor.nnet 6 0 100%
theano.tensor.nnet.Conv3D 145 6 96% 345-348, 571-572, 579
theano.tensor.nnet.ConvGrad3D 67 0 100%
theano.tensor.nnet.ConvTransp3D 122 4 97% 34, 359-360, 396
theano.tensor.nnet.conv 598 85 86% 31-32, 435-448, 461, 671-768, 772, 774-775, 777, 1252, 1254, 1257
theano.tensor.nnet.nnet 740 83 89% 58, 61, 67-76, 83, 245-251, 254, 355, 361-367, 517, 538, 544-547, 566, 750, 753, 756, 782-813, 849-851, 858, 988-993, 1207, 1209, 1391, 1393, 1530, 1567, 1602, 1626-1627, 1636, 1641, 1667-1670, 1682, 1710, 1749, 1753, 1796, 1850
theano.tensor.nnet.sigm 309 46 85% 29, 31, 66, 82-86, 89, 104, 108, 115, 180, 187, 218-219, 289, 331, 338, 463, 524-530, 623-631, 644-654, 665
theano.tensor.opt 2110 21 99% 85, 270, 644, 652, 660-672, 678, 1341, 1344, 1448, 1456, 3071, 4216, 4230, 4247, 4263, 4682-4683, 4691-4692
theano.tensor.opt_uncanonicalize 42 0 100%
theano.tensor.randomstreams 66 3 95% 93, 109, 116
theano.tensor.raw_random 340 23 93% 32, 42, 51, 55-56, 64-65, 68, 70, 73-76, 135, 186, 336-337, 505-506, 704-706, 708-709, 809
theano.tensor.shared_randomstreams 42 0 100%
theano.tensor.sharedvar 36 4 89% 14, 86-88
theano.tensor.signal 0 0 100%
theano.tensor.signal.conv 34 6 82% 46, 49-55
theano.tensor.signal.downsample 136 52 62% 14-16, 32, 84, 91-92, 95-96, 124, 131-156, 268-286
theano.tensor.sort 70 1 99% 147
theano.tensor.utils 31 0 100%
theano.tensor.xlogx 41 8 80% 13-14, 16, 29, 41-42, 44, 57
theano.updates 46 6 87% 83-86, 90-91
theano.version 8 0 100%
---------------------------------------------------------------------
TOTAL 36622 5646 85%
----------------------------------------------------------------------
Ran 2563 tests in 3872.330s
OK (KNOWNFAIL=17, SKIP=32)
0.591525729001
0.591525729001
0.591525729001
0.591525729001
Number of elements in the compiledir:
20175
Executing tests with mode=FAST_RUN,floatX=float32
THEANO_FLAGS=on_shape_error=raise,on_opt_error=raise,,warn.argmax_pushdown_bug=False,warn.gpusum_01_011_0111_bug=False,warn.sum_sum_bug=False,warn.sum_div_dimshuffle_bug=False,warn.subtensor_merge_bug=False,compiledir=/Tmp/lisa_theano_compile_dir_theano,device=cpu,floatX=float64,mode=FAST_RUN,floatX=float32 /Tmp/nightly_build/Theano/bin/theano-nose
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__()
..........................................................................................E......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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:11e0ed878c014f3d0b39c278dc2fee09', (<theano.gof.tests.test_compute_test_value.IncOneC object at 0x8e620990>
, ((Scalar(int32), ((-1, 0), False)),), (1, (False,)))))])
..........................................................................................................................SS..SSS.........................................................................................................................................................................................................................................../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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:11e0ed878c014f3d0b39c278dc2fee09', (<theano.scalar.basic.Composite object at 0x9e82b190>, ((Scalar(float
64), ((-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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:11e0ed878c014f3d0b39c278dc2fee09', (<theano.scalar.basic.Composite object at 0xa1844d10>, ((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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:11e0ed878c014f3d0b39c278dc2fee09', (<theano.scalar.basic.Composite object at 0xa404fe50>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (
False,)))))])
...............K............/part/01/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)
.............................K...............K......................................EE................../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:2039: 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........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSSS................................................................................................K..........................................................................
.........................................................S...................................................................................................................................................................................K..KKKK.K...............................................................K........................../part/01/Tmp/nightly_build/Theano/theano/tensor/tests/test_naacl09.py:69: UserWarning: RandomStreams is deprecated and will be removed in release 0.7. Use shared_randomstreams.RandomStreams or MRG_RandomStreams instead.
self.random = T.randomstreams.RandomStreams()
K....................................................S.S..S.................................................K......K...................................................................................................................................................................SS...SSSSS..........K..................................WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (9, 10, '1.6.1'), (9, 10, '1.6.1')), ('CLinker.cmodule_key', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-lin
e-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:11e0ed878c014f3d0b39c278dc2fee09', (<theano.tests.test_tutorial.Fibby object at 0x924277d0>, ((TensorType(float64, vector), ((-1, 0), False)),), (1, (True,)))))])
WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (9, 10, '1.6.1'), (9, 10, '1.6.1')), ('CLinker.cmodule_key', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:11e0ed878c014f3d0b39c278dc2fee09', (<theano.tests.test_tutorial.Fibby object at 0x924277d0>, ((TensorType(float32, vector), (('c5928adf0f43cb674c6f902a9340bf26', 0, 0), False)),), (1, (False,)))))])
...........
======================================================================
ERROR: When an op with c_code, but no version. If we have 2 apply node
----------------------------------------------------------------------
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/gof/tests/test_cmodule.py", line 46, in test_inter_process_cache
f(numpy.arange(60), numpy.arange(60))
File "/part/01/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 498, in __call__
allow_downcast=s.allow_downcast)
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 761, in filter
raise TypeError(err_msg, data)
TypeError: ('Bad input argument to theano function at index 0(0-based)', 'TensorType(float32, vector) cannot store a value of dtype int64 without risking loss of precision. If you do not mind this loss, you can: 1) explicitly cast your data to float32, or 2) set "allow_input_downcast=True" when calling "function".', array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,
51, 52, 53, 54, 55, 56, 57, 58, 59]))
======================================================================
ERROR: test_scan.test_compute_test_value
----------------------------------------------------------------------
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/scan_module/tests/test_scan.py", line 3851, in test_compute_test_value
g = tensor.grad(z.sum(), x)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 438, in grad
outputs, wrt, consider_constant)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 699, in _populate_var_to_app_to_idx
account_for(output)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 695, in account_for
account_for(ipt)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 670, in account_for
connection_pattern = _node_to_pattern(app)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 555, in _node_to_pattern
connection_pattern = node.op.connection_pattern(node)
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/scan_op.py", line 1360, in connection_pattern
safe_new(inner_out, dtype='float64'),
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/scan_utils.py", line 77, in safe_new
nw_x = nw_x.astype(dtype).type()
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 1783, in astype
return cast(self, dtype)
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 2385, in cast
return _cast_mapping[dtype](x)
File "/part/01/Tmp/nightly_build/Theano/theano/gof/op.py", line 407, in __call__
raise ValueError('Cannot compute test value: input %i (%s) of Op %s missing default value' % (i, ins, node))
ValueError: Cannot compute test value: input 0 (<TensorType(float32, scalar)>) of Op Elemwise{Cast{float64}}(<TensorType(float32, scalar)>) missing default value
======================================================================
ERROR: test_scan.test_compute_test_value_nonseq
----------------------------------------------------------------------
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/scan_module/tests/test_scan.py", line 3876, in test_compute_test_value_nonseq
g = tensor.grad(z.sum(), x)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 438, in grad
outputs, wrt, consider_constant)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 699, in _populate_var_to_app_to_idx
account_for(output)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 695, in account_for
account_for(ipt)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 670, in account_for
connection_pattern = _node_to_pattern(app)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 555, in _node_to_pattern
connection_pattern = node.op.connection_pattern(node)
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/scan_op.py", line 1360, in connection_pattern
safe_new(inner_out, dtype='float64'),
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/scan_utils.py", line 77, in safe_new
nw_x = nw_x.astype(dtype).type()
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 1783, in astype
return cast(self, dtype)
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 2385, in cast
return _cast_mapping[dtype](x)
File "/part/01/Tmp/nightly_build/Theano/theano/gof/op.py", line 407, in __call__
raise ValueError('Cannot compute test value: input %i (%s) of Op %s missing default value' % (i, ins, node))
ValueError: Cannot compute test value: input 0 (<TensorType(float32, matrix)>) of Op Elemwise{Cast{float64}}(<TensorType(float32, matrix)>) missing default value
----------------------------------------------------------------------
Ran 2563 tests in 3149.455s
FAILED (KNOWNFAIL=18, SKIP=32, errors=3)
Number of elements in the compiledir:
20175
Executing tests with linker=vm,vm.lazy=True,floatX=float32
THEANO_FLAGS=on_shape_error=raise,on_opt_error=raise,,warn.argmax_pushdown_bug=False,warn.gpusum_01_011_0111_bug=False,warn.sum_sum_bug=False,warn.sum_div_dimshuffle_bug=False,warn.subtensor_merge_bug=False,compiledir=/Tmp/lisa_theano_compile_dir_theano,device=cpu,floatX=float64,linker=vm,vm.lazy=True,floatX=float32 /Tmp/nightly_build/Theano/bin/theano-nose
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__()
..........................................................................................E......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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:14db119e82f14a418a5a9dce73c02f3b', (<theano.gof.tests.test_compute_test_value.IncOneC object at 0x8efd8150>
, ((Scalar(int32), ((-1, 0), False)),), (1, (False,)))))])
..........................................................................................................................SS..SSS.........................................................................................................................................................................................................................................../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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:14db119e82f14a418a5a9dce73c02f3b', (<theano.scalar.basic.Composite object at 0x9ebbded0>, ((Scalar(float
64), ((-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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:14db119e82f14a418a5a9dce73c02f3b', (<theano.scalar.basic.Composite object at 0x9f7316d0>, ((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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:14db119e82f14a418a5a9dce73c02f3b', (<theano.scalar.basic.Composite object at 0x9f731f50>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (
False,)))))])
...............K............/part/01/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)
.............................K...............K......................................EE................../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:2039: 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........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSSS................................................................................................K..........................................................................
.........................................................S...................................................................................................................................................................................K..KKKK.K...............................................................K........................../part/01/Tmp/nightly_build/Theano/theano/tensor/tests/test_naacl09.py:69: UserWarning: RandomStreams is deprecated and will be removed in release 0.7. Use shared_randomstreams.RandomStreams or MRG_RandomStreams instead.
self.random = T.randomstreams.RandomStreams()
K....................................................S.S..S.................................................K......K...................................................................................................................................................................SS...SSSSS..........K..................................WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (9, 10, '1.6.1'), (9, 10, '1.6.1')), ('CLinker.cmodule_key', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-lin
e-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:14db119e82f14a418a5a9dce73c02f3b', (<theano.tests.test_tutorial.Fibby object at 0xa03f6310>, ((TensorType(float64, vector), ((-1, 0), False)),), (1, (True,)))))])
WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (9, 10, '1.6.1'), (9, 10, '1.6.1')), ('CLinker.cmodule_key', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:14db119e82f14a418a5a9dce73c02f3b', (<theano.tests.test_tutorial.Fibby object at 0xa03f6310>, ((TensorType(float32, vector), (('c5928adf0f43cb674c6f902a9340bf26', 0, 0), False)),), (1, (False,)))))])
...........
======================================================================
ERROR: When an op with c_code, but no version. If we have 2 apply node
----------------------------------------------------------------------
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/gof/tests/test_cmodule.py", line 46, in test_inter_process_cache
f(numpy.arange(60), numpy.arange(60))
File "/part/01/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 498, in __call__
allow_downcast=s.allow_downcast)
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 761, in filter
raise TypeError(err_msg, data)
TypeError: ('Bad input argument to theano function at index 0(0-based)', 'TensorType(float32, vector) cannot store a value of dtype int64 without risking loss of precision. If you do not mind this loss, you can: 1) explicitly cast your data to float32, or 2) set "allow_input_downcast=True" when calling "function".', array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,
51, 52, 53, 54, 55, 56, 57, 58, 59]))
======================================================================
ERROR: test_scan.test_compute_test_value
----------------------------------------------------------------------
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/scan_module/tests/test_scan.py", line 3851, in test_compute_test_value
g = tensor.grad(z.sum(), x)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 438, in grad
outputs, wrt, consider_constant)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 699, in _populate_var_to_app_to_idx
account_for(output)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 695, in account_for
account_for(ipt)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 670, in account_for
connection_pattern = _node_to_pattern(app)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 555, in _node_to_pattern
connection_pattern = node.op.connection_pattern(node)
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/scan_op.py", line 1360, in connection_pattern
safe_new(inner_out, dtype='float64'),
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/scan_utils.py", line 77, in safe_new
nw_x = nw_x.astype(dtype).type()
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 1783, in astype
return cast(self, dtype)
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 2385, in cast
return _cast_mapping[dtype](x)
File "/part/01/Tmp/nightly_build/Theano/theano/gof/op.py", line 407, in __call__
raise ValueError('Cannot compute test value: input %i (%s) of Op %s missing default value' % (i, ins, node))
ValueError: Cannot compute test value: input 0 (<TensorType(float32, scalar)>) of Op Elemwise{Cast{float64}}(<TensorType(float32, scalar)>) missing default value
======================================================================
ERROR: test_scan.test_compute_test_value_nonseq
----------------------------------------------------------------------
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/scan_module/tests/test_scan.py", line 3876, in test_compute_test_value_nonseq
g = tensor.grad(z.sum(), x)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 438, in grad
outputs, wrt, consider_constant)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 699, in _populate_var_to_app_to_idx
account_for(output)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 695, in account_for
account_for(ipt)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 670, in account_for
connection_pattern = _node_to_pattern(app)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 555, in _node_to_pattern
connection_pattern = node.op.connection_pattern(node)
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/scan_op.py", line 1360, in connection_pattern
safe_new(inner_out, dtype='float64'),
File "/part/01/Tmp/nightly_build/Theano/theano/scan_module/scan_utils.py", line 77, in safe_new
nw_x = nw_x.astype(dtype).type()
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 1783, in astype
return cast(self, dtype)
File "/part/01/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 2385, in cast
return _cast_mapping[dtype](x)
File "/part/01/Tmp/nightly_build/Theano/theano/gof/op.py", line 407, in __call__
raise ValueError('Cannot compute test value: input %i (%s) of Op %s missing default value' % (i, ins, node))
ValueError: Cannot compute test value: input 0 (<TensorType(float32, matrix)>) of Op Elemwise{Cast{float64}}(<TensorType(float32, matrix)>) missing default value
----------------------------------------------------------------------
Ran 2563 tests in 3230.125s
FAILED (KNOWNFAIL=18, SKIP=32, errors=3)
Number of elements in the compiledir:
20175
Executing tests with mode=DEBUG_MODE with seed of the day 17112
THEANO_FLAGS=on_shape_error=raise,on_opt_error=raise,,warn.argmax_pushdown_bug=False,warn.gpusum_01_011_0111_bug=False,warn.sum_sum_bug=False,warn.sum_div_dimshuffle_bug=False,warn.subtensor_merge_bug=False,compiledir=/Tmp/lisa_theano_compile_dir_theano,device=cpu,floatX=float64,unittests.rseed=17112,mode=DEBUG_MODE,DebugMode.check_strides=0,DebugMode.patience=3,DebugMode.check_preallocated_output= /Tmp/nightly_build/Theano/bin/theano-nose
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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.gof.tests.test_compute_test_value.IncOneC object at 0x91baf210>
, ((Scalar(int32), ((-1, 0), False)),), (1, (False,)))))])
..........................................................................................................................SS..SSS.........................................................................................................................................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:759: ComplexWarning: Casting complex values to real discards the imaginary part
1, val, bval, 0)
................................................S.E.E...EE.E.......WARNING (theano.compile.debugmode): Optimization Warning: input idx 1 marked as viewed but new memory allocated by node 'if{inplace,gpu}(c, GpuAlloc{memset_0=True}.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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.scalar.basic.Composite object at 0x66b2e50>, ((Scalar(float
64), ((-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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.scalar.basic.Composite object at 0x8ee88190>, ((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', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.scalar.basic.Composite object at 0x8f4be990>, ((Scalar(float64), ((-1, 0), False)), (Scalar(float64), ((-1, 1), False))), (1, (
False,)))))])
...............K............/part/01/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)
.............................K...............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:2039: 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 3 marked as destroyed was not changed for node 'AddSD{inplace}(CSMProperties{None}.0, CSMProperties{None}.1, CSMProperties{None}.2, <TensorType(float64, matrix)>)'
......S........S....................................................................................................................................................................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{0.0})'
................................................................................................................................................................................................................................................................................................................................................................................................................................SSSS................................................................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:69: UserWarning: RandomStreams is deprecated and will be removed in release 0.7. Use shared_randomstreams.RandomStreams or MRG_RandomStreams instead.
self.random = T.randomstreams.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..........K..................................WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (9, 10, '1.6.1'), (9, 10, '1.6.1')), ('CLinker.cmodule_key', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.tests.test_tutorial.Fibby object at 0xb91a23d0>, ((TensorType(float64, vector), ((-1, 0), False)),),
(1, (False,)))))])
WARNING (theano.gof.cmodule): Cache leak due to unpickle-able key data set([(((1,), (9, 10, '1.6.1'), (9, 10, '1.6.1')), ('CLinker.cmodule_key', ('--param', '--param', '--param', '-D NPY_ARRAY_ALIGNED=NPY_ALIGNED', '-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS', '-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY', '-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS', '-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL', '-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE', '-DREPLACE_WITH_AMDLIBM', '-O3', '-Wno-unused-label', '-Wno-unused-variable', '-Wno-write-strings', '-fPIC', '-fno-math-errno', '-m64', '-march=core2', '-mcx16', '-mpopcnt', '-msahf', '-msse4.2', '-mtune=core2', 'l1-cache-line-size=64', 'l1-cache-size=32', 'l2-cache-size=8192'), ('amdlibm',), (), 'NPY_ABI_VERSION=0x1000009', u'c_compiler_str=g++ 4.5.1', 'md5:ae9b871d6b298d3847d4bb1cbf1d8883', (<theano.tests.test_tutorial.Fibby object at 0xb91a23d0>, ((TensorType(float64, vector), (('cde2b94cb46074740fd69a5d40417166', 0, 0), False)),), (1, (False,)))))])
...........
======================================================================
ERROR: test_grad_valid (theano.sandbox.cuda.tests.test_neighbours.T_GpuImages2Neibs)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/test_neighbours.py", line 296, in test_grad_valid
eps=0.1)
File "/part/01/Tmp/nightly_build/Theano/theano/tests/unittest_tools.py", line 89, in verify_grad
T.verify_grad(op, pt, n_tests, rng, *args, **kwargs)
File "/part/01/Tmp/nightly_build/Theano/theano/gradient.py", line 1394, in verify_grad
o_fn_out = o_fn(*[p.copy() for p in pt])
File "/part/01/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 2068, in deco
return f()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1828, in f
thunk_py()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1663, in <lambda>
n=node: p(n, [x[0] for x in i], o))
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/neighbours.py", line 206, in perform
z[0][z_row, z_col] = ten4[n, s, ten4_2, ten4_3]
TypeError: float() argument must be a string or a number
======================================================================
ERROR: test_neibs (theano.sandbox.cuda.tests.test_neighbours.T_GpuImages2Neibs)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/test_neighbours.py", line 39, in test_neibs
neibs = f()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 2068, in deco
return f()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1828, in f
thunk_py()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1663, in <lambda>
n=node: p(n, [x[0] for x in i], o))
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/neighbours.py", line 206, in perform
z[0][z_row, z_col] = ten4[n, s, ten4_2, ten4_3]
TypeError: float() argument must be a string or a number
======================================================================
ERROR: test_neibs_manual (theano.sandbox.cuda.tests.test_neighbours.T_GpuImages2Neibs)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/test_neighbours.py", line 64, in test_neibs_manual
neibs = f()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 2068, in deco
return f()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1828, in f
thunk_py()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1663, in <lambda>
n=node: p(n, [x[0] for x in i], o))
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/neighbours.py", line 206, in perform
z[0][z_row, z_col] = ten4[n, s, ten4_2, ten4_3]
TypeError: float() argument must be a string or a number
======================================================================
ERROR: test_neibs_manual_step (theano.sandbox.cuda.tests.test_neighbours.T_GpuImages2Neibs)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/test_neighbours.py", line 109, in test_neibs_manual_step
neibs = f()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 2068, in deco
return f()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1828, in f
thunk_py()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1663, in <lambda>
n=node: p(n, [x[0] for x in i], o))
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/neighbours.py", line 206, in perform
z[0][z_row, z_col] = ten4[n, s, ten4_2, ten4_3]
TypeError: float() argument must be a string or a number
======================================================================
ERROR: test_neibs_wrap_centered_step_manual (theano.sandbox.cuda.tests.test_neighbours.T_GpuImages2Neibs)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/test_neighbours.py", line 227, in test_neibs_wrap_centered_step_manual
neibs = f()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 2068, in deco
return f()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1828, in f
thunk_py()
File "/part/01/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1663, in <lambda>
n=node: p(n, [x[0] for x in i], o))
File "/part/01/Tmp/nightly_build/Theano/theano/sandbox/neighbours.py", line 206, in perform
z[0][z_row, z_col] = ten4[n, s, ten4_2, ten4_3]
TypeError: float() argument must be a string or a number
----------------------------------------------------------------------
Ran 2553 tests in 11747.649s
FAILED (KNOWNFAIL=20, SKIP=33, errors=5)
0.
8653571799
0.
8653571799
0.
8653571799
0.
8653571799
Number of elements in the compiledir:
20175
Total test time: 418m 15s
Sat May 18 01:58:29 EDT 2013
24212.43user 644.33system 6:58:14elapsed 99%CPU (0avgtext+0avgdata 4363296maxresident)k
2902736inputs+296176outputs (7819major+59737120minor)pagefaults 0swaps