Pylearn buildbot Fail=12 Err=28 Ran=174 Skip=0 KnownFail=0

2 views
Skip to first unread message

li...@iro.umontreal.ca

unread,
May 17, 2013, 7:54:51 AM5/17/13
to theano-...@googlegroups.com
Summary of the output:

File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 13, in test
ImportError: No module named common.autoname
ImportError: No module named old_dataset.dataset
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_sgd.py", line 19, in test_sgd0
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_sgd.py", line 38, in test_sgd_stepsize_variable
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_sgd.py", line 68, in test_sgd_stepsize_none
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sampling/tests/test_hmc.py", line 76, in test_hmc
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 56, in test_gradient_fail
AssertionError: False is not true
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 76, in test_A
AssertionError:
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 108, in test_smaller
AssertionError:
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 113, in test_smaller32
AssertionError:
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 118, in test_big
AssertionError:
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 13, in test
ImportError: No module named common.autoname
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/tests/test_stacker.py", line 29, in test_train
ImportError: No module named old_dataset.dataset
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_sgd.py", line 19, in test_sgd0
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_sgd.py", line 38, in test_sgd_stepsize_variable
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_sgd.py", line 68, in test_sgd_stepsize_none
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sampling/tests/test_hmc.py", line 76, in test_hmc
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 56, in test_gradient_fail
AssertionError: False is not true
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 76, in test_A
AssertionError:
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 108, in test_smaller
AssertionError:
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 113, in test_smaller32
AssertionError:
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 118, in test_big
AssertionError:
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 13, in test
ImportError: No module named common.autoname
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/dataset_ops/tests/test_cifar10.py", line 33, in test_shape_range
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/dataset_ops/tests/test_cifar10.py", line 97, in test_split_different
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/dataset_ops/tests/test_cifar10.py", line 126, in test_split_length
ImportError: No module named old_dataset.dataset
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_sgd.py", line 19, in test_sgd0
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_sgd.py", line 38, in test_sgd_stepsize_variable
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_sgd.py", line 68, in test_sgd_stepsize_none
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sampling/tests/test_mcmc.py", line 61, in test_mcmc
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 56, in test_gradient_fail
AssertionError: False is not true
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 76, in test_A
AssertionError:


Full output:

Thu May 16 19:00:41 EDT 2013
abort: no repository found in '/part/01/Tmp/nightly_build/Theano' (.hg not found)!
parent: 1529:9737834dcb0f tip
Add the total test time in the buildbot.
branch: default
commit: (clean)
update: (current)
executing nosetests with mode=FAST_COMPILE
executing nosetests with mode=FAST_RUN
/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/scan_inputs_groups.py:106: UserWarning: theano modules are deprecated and will be removed in release 0.7
self.M=theano.Module()
ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

EERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

...F....E/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/tests/test_mcRBM.py:131: UserWarning: The parameter 'updates' of theano.function() expects an OrderedDict, got <type 'dict'>. Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7, or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.
updates=trainer.cd_updates())
.......E./part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_dbd.py:17: UserWarning: The parameter 'updates' of theano.function() expects an OrderedDict, got <type 'dict'>. Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7, or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.
fn = theano.function([], cost, updates=ups)
.EEE.......................E.E../part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py:73: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
env_r = f.maker.env.inputs[9]
/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py:74: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
order = f.maker.env.toposort()
/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py:76: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
assert str(f.maker.env.outputs[6].owner.inputs[0]) == 'r'
FFFF/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_lecun1998.py:26: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
for i, n in enumerate(f.maker.env.toposort()):
...
======================================================================
ERROR: test (pylearn.algorithms.sandbox.test_cost.T_logfactorial)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 13, in test
self.failUnless(numpy.all(f() - numpy.asarray([0., 0., 1.38629436, 3.29583687, 5.54517744, 8.04718956, 10.75055682, 13.62137104, 16.63553233, 19.7750212])) < 1e-5)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')
-------------------- >> begin captured logging << --------------------
theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

--------------------- >> end captured logging << ---------------------

======================================================================
ERROR: Failure: ImportError (No module named common.autoname)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/tests/test_linear_regression.py", line 3, in <module>
from pylearn.algorithms.linear_regression import *
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/linear_regression.py", line 11, in <module>
from common.autoname import AutoName
ImportError: No module named common.autoname

======================================================================
ERROR: Failure: ImportError (No module named old_dataset.dataset)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/datasets/make_test_datasets.py", line 1, in <module>
from pylearn.old_dataset.dataset import ArrayDataSet
ImportError: No module named old_dataset.dataset

======================================================================
ERROR: test_sgd.test_sgd0
----------------------------------------------------------------------
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/Pylearn/pylearn/gd/tests/test_sgd.py", line 19, in test_sgd0
c = m.step_cost(3.0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
NotImplementedError: input nd

======================================================================
ERROR: test_sgd.test_sgd_stepsize_variable
----------------------------------------------------------------------
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/Pylearn/pylearn/gd/tests/test_sgd.py", line 38, in test_sgd_stepsize_variable
c = m.step_cost(3.0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
NotImplementedError: input nd

======================================================================
ERROR: test_sgd.test_sgd_stepsize_none
----------------------------------------------------------------------
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/Pylearn/pylearn/gd/tests/test_sgd.py", line 68, in test_sgd_stepsize_none
c = m.step_cost(3.0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
NotImplementedError: input nd

======================================================================
ERROR: test_hmc.test_hmc
----------------------------------------------------------------------
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/Pylearn/pylearn/sampling/tests/test_hmc.py", line 76, in test_hmc
assert abs(sampler.avg_acceptance_rate.get_value() -
UnboundLocalError: local variable 'sampler' referenced before assignment
-------------------- >> begin captured stdout << ---------------------
HMC

--------------------- >> end captured stdout << ----------------------

======================================================================
ERROR: Failure: AttributeError ('module' object has no attribute 'RandomStreams')
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/test_scan_inputs_groups.py", line 10, in <module>
from pylearn.sandbox.scan_inputs_groups import FillMissing
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/scan_inputs_groups.py", line 428, in <module>
scannoise=ScanNoise()
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/scan_inputs_groups.py", line 391, in __init__
self.M.rand = T.RandomStreams(seed)
AttributeError: 'module' object has no attribute 'RandomStreams'

======================================================================
FAIL: test_gradient_fail (pylearn.algorithms.sandbox.test_cost.T_nlpoisson)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 56, in test_gradient_fail
self.failUnless(numpy.all(f() - numpy.asarray([206., 559.96605666, 558.96605666, 205., 557.96605666, 204., 30473.11077513, 459.96605666] < 1e-5)))
AssertionError: False is not true
-------------------- >> begin captured stdout << ---------------------
[array([-0., -1., -1., -0., -1., -0., -5., -1.])]

--------------------- >> end captured stdout << ----------------------

======================================================================
FAIL: test_kouh2008.test_A
----------------------------------------------------------------------
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/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 76, in test_A
assert str(f.maker.env.outputs[6].owner.inputs[0]) == 'r'
AssertionError:
-------------------- >> begin captured logging << --------------------
pylearn.shared.layers.kouh2008: DEBUG: dtype float64
pylearn.shared.layers.kouh2008: DEBUG: output dtype float64
pylearn.shared.layers.LogisticRegression: DEBUG: allocating params w, b 10 2 float64
--------------------- >> end captured logging << ---------------------

======================================================================
FAIL: test_kouh2008.test_smaller
----------------------------------------------------------------------
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/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 108, in test_smaller
assert rval < 6.1
AssertionError:
-------------------- >> begin captured stdout << ---------------------
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::w]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, p]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, q]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, r]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, k]
COMPILING
DONE

--------------------- >> end captured stdout << ----------------------
-------------------- >> begin captured logging << --------------------
pylearn.shared.layers.kouh2008: DEBUG: dtype float64
pylearn.shared.layers.kouh2008: DEBUG: output dtype float64
pylearn.shared.layers.LogisticRegression: DEBUG: allocating params w, b 8 2 float64
--------------------- >> end captured logging << ---------------------

======================================================================
FAIL: test_kouh2008.test_smaller32
----------------------------------------------------------------------
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/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 113, in test_smaller32
assert rval < 6.1
AssertionError:
-------------------- >> begin captured stdout << ---------------------
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::w]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, p]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, q]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, r]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, k]
COMPILING
DONE

--------------------- >> end captured stdout << ----------------------
-------------------- >> begin captured logging << --------------------
pylearn.shared.layers.kouh2008: DEBUG: dtype float64
pylearn.shared.layers.kouh2008: DEBUG: output dtype float64
pylearn.shared.layers.LogisticRegression: DEBUG: allocating params w, b 8 2 float64
--------------------- >> end captured logging << ---------------------

======================================================================
FAIL: test_kouh2008.test_big
----------------------------------------------------------------------
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/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 118, in test_big
assert rval < 0.1
AssertionError:
-------------------- >> begin captured stdout << ---------------------
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::w]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, p]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, q]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, r]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, k]
COMPILING
DONE

--------------------- >> end captured stdout << ----------------------
-------------------- >> begin captured logging << --------------------
pylearn.shared.layers.kouh2008: DEBUG: dtype float64
pylearn.shared.layers.kouh2008: DEBUG: output dtype float64
pylearn.shared.layers.LogisticRegression: DEBUG: allocating params w, b 100 2 float64
--------------------- >> end captured logging << ---------------------

Name Stmts Miss Cover Missing
----------------------------------------------------------------------------
pylearn 2 1 50% 25
pylearn.algorithms 0 0 100%
pylearn.algorithms.aa 73 9 88% 29, 52, 58, 69, 72, 79, 83, 89, 110
pylearn.algorithms.exponential_mean 64 4 94% 48, 51-55
pylearn.algorithms.logistic_regression 164 128 22% 31-118, 122-124, 127-134, 153-199, 203-262, 287, 310, 323-337, 344-346, 350, 353, 356, 359, 362, 365, 368
pylearn.algorithms.mcRBM 187 84 55% 249, 362-364, 375-376, 385-388, 397-400, 407-421, 509-540, 558-560, 566-569, 578-581, 596, 607, 619-631, 660-673, 706, 711, 768-773, 808-813
pylearn.algorithms.regressor 70 9 87% 22, 49, 67, 69, 79, 82, 85, 88, 91
pylearn.algorithms.sandbox 0 0 100%
pylearn.algorithms.sandbox.cost 37 10 73% 20-21, 35-40, 44, 124
pylearn.algorithms.stacker 71 7 90% 88, 96, 101, 106-109
pylearn.dataset_ops 3 0 100%
pylearn.dataset_ops.cifar10 157 60 62% 30-35, 70-72, 74, 108, 112, 120, 146, 158, 163-165, 171, 178-185, 198-222, 229-232, 236-239, 246-262, 265-268
pylearn.dataset_ops.image_patches 68 31 54% 19-30, 38-57, 74-75, 97, 109, 116, 120-121
pylearn.dataset_ops.memo 20 1 95% 7
pylearn.dataset_ops.protocol 66 10 85% 23, 29, 41, 44, 97-100, 114-115
pylearn.dataset_ops.sandbox 0 0 100%
pylearn.datasets 1 0 100%
pylearn.datasets.config 37 8 78% 20-23, 39, 47-50
pylearn.datasets.dataset 24 3 88% 12, 44, 50
pylearn.datasets.embeddings 1 0 100%
pylearn.datasets.embeddings.parameters 5 0 100%
pylearn.datasets.embeddings.process 57 43 25% 18, 21-22, 28-49, 62-82, 90-95
pylearn.datasets.image_patches 47 36 23% 25-51, 64-69, 76-81, 102-116
pylearn.datasets.tzanetakis 74 36 51% 15-20, 25-59, 80-82, 84-87, 116, 123-124, 127
pylearn.external 0 0 100%
pylearn.formulas 0 0 100%
pylearn.gd 1 0 100%
pylearn.gd.dbd 26 0 100%
pylearn.gd.sgd 60 27 55% 19-20, 22, 28-43, 79, 85, 90, 98-101, 116-119
pylearn.io 0 0 100%
pylearn.io.amat 67 61 9% 54-137
pylearn.io.filetensor 98 15 85% 78, 86-87, 150, 157, 206-207, 212-219
pylearn.io.image_tiling 98 90 8% 9-12, 46-129, 135-137, 144-152, 155-179, 186-200
pylearn.io.seriestables 1 0 100%
pylearn.io.seriestables.series 223 38 83% 41, 43, 93, 95, 111, 114, 130-131, 134-138, 141-142, 220, 222, 225, 230, 235, 239, 242, 245, 248, 251, 255, 258, 275, 300, 332, 334, 369, 511, 515, 551, 567, 610, 660, 662
pylearn.io.wavread 33 17 48% 26, 28, 30, 32, 34-50, 53
pylearn.preprocessing 1 0 100%
pylearn.preprocessing.pca 46 13 72% 58-59, 63, 119-121, 130, 153-156, 163-164
pylearn.sampling 0 0 100%
pylearn.sampling.hmc 68 4 94% 42, 51, 152, 269
pylearn.sampling.mcmc 41 0 100%
pylearn.sandbox 0 0 100%
pylearn.sandbox.rbm 0 0 100%
pylearn.sandbox.simple_autoassociator 0 0 100%
pylearn.sandbox.sparse_random_autoassociator 0 0 100%
pylearn.shared 0 0 100%
pylearn.shared.layers 8 0 100%
pylearn.shared.layers.exponential_mean 30 16 47% 42-68, 82
pylearn.shared.layers.kording2004 69 47 32% 28, 33-34, 47-50, 61-71, 87-125
pylearn.shared.layers.kouh2008 151 53 65% 28-29, 76, 95, 113-117, 196, 199, 225-228, 247-296
pylearn.shared.layers.lecun1998 39 6 85% 38, 40, 42, 80, 84, 90
pylearn.shared.layers.logreg 31 5 84% 39-45
pylearn.shared.layers.rust2005 137 106 23% 22-23, 44-52, 71-103, 109-116, 127-172, 199-202, 237-288
pylearn.shared.layers.sandbox 0 0 100%
pylearn.shared.layers.sgd 57 45 21% 24-31, 37-59, 104-118, 122-138, 141
pylearn.shared.layers.sigmoidal_layer 22 1 95% 41
pylearn.shared.layers.squash 15 4 73% 6-7, 12-13
pylearn.shared.layers.util 25 5 80% 33-37
theano 73 7 90% 165, 172-175, 185-187
theano.compat 24 24 0% 6-46
theano.compat.python2x 228 220 4% 7-309, 312, 316, 319-322, 324, 328-341
theano.compat.six 220 219 1% 22-251, 254-392
theano.compile 13 5 62% 7, 13, 19-21, 27
theano.compile.builders 45 6 87% 45, 101-109
theano.compile.debugmode 1212 142 88% 99-100, 107, 143, 147, 159-164, 167-192, 194, 196, 198, 201-202, 205, 210, 214, 217, 220, 257-264, 276, 279-309, 313, 320-334, 353, 360, 377-378, 440, 442, 468, 470-471, 475-476, 479, 481-482, 487, 770, 831, 948, 953, 959, 966, 973, 975, 1204, 2161-2164, 2208, 2236-2248, 2317, 2326-2351, 2361, 2417, 2461-2496
theano.compile.function 35 0 100%
theano.compile.function_module 673 7 99% 23, 112, 252, 447, 450, 456, 1310
theano.compile.io 74 14 81% 105-106, 114, 126-136
theano.compile.mode 174 19 89% 4, 12, 35-52, 79, 113, 116, 120, 163, 284, 307, 363
theano.compile.module 623 74 88% 8, 12, 25, 38, 47, 56-60, 97, 107, 121-124, 127-130, 138, 146, 183-186, 268-271, 510, 512-524, 526, 528, 530, 534, 579-584, 590, 596, 614, 655, 734-737, 740, 753, 776-778, 783-784, 794, 869-871, 890-891, 1059, 1086, 1089, 1092, 1200-1202, 1212, 1219-1240
theano.compile.monitormode 14 14 0% 5-53
theano.compile.ops 82 47 43% 2-9, 22-32, 35, 38, 41-46, 49, 60-62, 68-72, 77, 80-108, 121-130, 133, 136, 139, 142-152, 158-162, 167, 178-185
theano.compile.pfunc 182 1 99% 527
theano.compile.profilemode 360 278 23% 14, 44-45, 50, 61-62, 70, 109, 121, 138-139, 142-148, 150, 156-183, 193, 221-248, 260-271, 273-292, 321-647
theano.compile.profiling 474 388 18% 32, 49-61, 67, 71, 75, 84-85, 88, 92, 101, 117-130, 154, 169-176, 186, 195-198, 200-201, 204-211, 215-216, 218-225, 227-234, 237-241, 245-265, 269-280, 283-288, 291-302, 304-324, 326-335, 343-356, 359-368, 371-376, 378-423, 432-457, 460-557, 562-700, 707-709, 713-723, 736-752, 757, 759, 763-774, 779, 786-804, 811-813, 815-1161
theano.compile.sharedvalue 62 5 92% 130-131, 138, 207, 211
theano.configdefaults 86 7 92% 9, 404-408, 429
theano.configparser 170 26 85% 13-15, 20, 27-28, 54, 59, 69, 72, 84, 127, 148-158, 248, 313-317, 337, 352, 359, 365
theano.gof 12 0 100%
theano.gof.callcache 33 26 21% 7-15, 18-25, 28-38, 41-45
theano.gof.cc 638 32 95% 16, 19, 23, 68-71, 87, 92, 329, 480, 1606-1639
theano.gof.cmodule 825 24 97% 686, 1148-1153, 1179-1181, 1197, 1225, 1251, 1263, 1278, 1650, 1660, 1666, 1679, 1691, 1703, 1712, 1821-1825, 1844-1845
theano.gof.compiledir 182 121 34% 116, 142-143, 153, 163-193, 195-337
theano.gof.compilelock 143 39 73% 15-38, 61-64, 85, 96-107, 145-146, 180-181, 194-202, 224, 236, 241-247, 260, 273, 276, 297
theano.gof.cutils 48 36 25% 6, 11, 15, 23-41, 217-293
theano.gof.destroyhandler 235 16 93% 21, 231, 603-646, 668, 760-768, 798, 818, 888
theano.gof.fg 325 58 82% 17, 34-65, 157-158, 160, 162, 178, 192, 264-265, 278-298, 415, 438, 448, 528, 531, 600-602, 607, 610-612, 615, 623, 627-628, 631-633, 635-639, 647, 652, 659-678
theano.gof.graph 401 16 96% 25-43, 118, 138, 156-158, 211, 218, 224-225, 232-235, 576, 722
theano.gof.lazylinker_c 70 33 53% 2, 7, 10, 22-23, 35, 38, 48-49, 59, 64, 74-75, 82-110
theano.gof.link 295 35 88% 5, 18-34, 50-51, 102, 107, 135, 201, 242, 284, 360-361, 367, 370, 394, 424, 429-431, 521-540, 650, 658
theano.gof.null_type 18 8 56% 22, 25, 28, 31, 34, 37-40
theano.gof.op 224 51 77% 10-13, 28-31, 315-349, 395, 398, 401-404, 406-407, 410, 424-427, 435, 438, 447-448, 450, 461-467, 497, 654, 670, 675, 679-680, 682-683, 723, 725-726, 731, 734-753, 776, 779, 782, 795-802, 808, 818, 820
theano.gof.opt 928 55 94% 10, 61, 81, 182, 193, 197, 200, 245, 249, 340, 589, 805, 813, 1343, 1369, 1513, 1521-1522, 1526, 1529, 1533, 1540, 1542, 1545, 1548-1585, 1589-1593, 1596, 1602, 1725, 1740, 1743
theano.gof.optdb 155 12 92% 39, 131, 173, 194, 239, 248, 253-254, 257, 273, 277-278
theano.gof.python25 1 0 100%
theano.gof.sched 78 49 37% 3, 28, 30-31, 44, 56-69, 92-106, 136, 138, 140-154, 179-197
theano.gof.toolbox 184 27 85% 7-11, 199, 259, 263-267, 271-272, 276-277, 285, 293, 295, 298-299, 304, 307-308, 311-312, 315-316, 320, 324-325
theano.gof.type 83 25 70% 12, 45, 97-140, 181-200, 215, 228, 257, 295, 306, 327, 356-360, 404, 409-412, 425, 446, 459, 462-465
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 220 121 45% 1-7, 19-20, 22-35, 49-51, 53-56, 59-61, 63-64, 72, 77, 87-90, 105-107, 109-111, 113, 124, 132-133, 141-144, 146-152, 154-164, 166-168, 172, 174, 176-180, 191, 198-231, 233-239, 241, 245, 247, 259, 272-273, 276, 281-284, 311, 316, 319-324, 331, 342-346, 350, 353, 356, 361-402
theano.gof.vm 398 14 96% 33, 36-38, 53-81, 97-104, 115, 133, 147, 854
theano.gradient 615 21 97% 33-38, 60, 67, 109, 1467, 1503-1506, 1512, 1515-1516, 1519-1529, 1579, 1586, 1599, 1621
theano.ifelse 356 155 56% 88, 99-106, 131, 137, 148, 196-197, 457-462, 467-487, 492-493, 498-501, 507, 509-511, 522-536, 540-541, 548, 551-552, 554-562, 566-586, 588-592, 597-612, 615-637, 639-643, 648-697
theano.misc 0 0 100%
theano.misc.cpucount 18 15 17% 41-57
theano.misc.ordered_set 111 78 30% 1-10, 21-48, 64, 73, 79, 104-113, 115-125, 132-220
theano.misc.safe_asarray 13 2 85% 31, 48
theano.misc.strutil 34 27 21% 17-29, 32, 37-60
theano.misc.windows 20 9 55% 1-5, 11-23
theano.printing 655 183 72% 17-19, 27, 29-30, 34-37, 82, 88, 90-91, 103-104, 113-114, 117-121, 240, 242, 247, 252, 257, 287, 294, 297-299, 359, 365, 368-373, 376-398, 403-409, 415, 431, 486, 786, 789, 795-801, 811-814, 821-897, 901, 905, 908, 910, 929, 932, 936, 940-945, 948, 981, 1063, 1080-1152, 1161
theano.sandbox 0 0 100%
theano.sandbox.cuda 205 11 95% 366, 411, 431, 460, 470-474, 482-491
theano.sandbox.cuda.basic_ops 986 96 90% 384, 443, 556, 817, 845, 848, 860, 914, 959, 1032, 1111, 1135, 1137, 1163, 1185, 1188, 1244-1248, 1387, 1408-1409, 1487, 1517-1518, 1795, 2375, 2420, 2452, 2458, 2554, 2609, 2612, 2674, 2705, 2758, 2807, 2815, 2819, 2877, 2880, 2884, 2916, 2925, 2949, 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 1 99% 942
theano.sandbox.cuda.elemwise 466 170 64% 168-261, 267-408, 527, 533, 580-581, 583, 585-589, 621-624, 663-664, 715, 736, 787, 905, 1050-1054
theano.sandbox.cuda.kernel_codegen 61 34 44% 17, 20-23, 34, 64-69, 109, 115, 121, 143, 194-213, 252, 285-316
theano.sandbox.cuda.nnet 102 30 71% 30-32, 93-95, 209, 225, 228, 231, 234, 238, 241-243, 364, 367, 373, 376, 383, 534, 537, 540, 544, 547-549, 655-701
theano.sandbox.cuda.nvcc_compiler 231 3 99% 79, 91, 383
theano.sandbox.cuda.opt 787 1 99% 343
theano.sandbox.cuda.rng_curand 120 6 95% 134, 268, 277-281
theano.sandbox.cuda.type 165 1 99% 483
theano.sandbox.cuda.var 91 18 80% 51, 148, 153-167, 204-205
theano.sandbox.softsign 23 4 83% 9, 11, 19, 25
theano.scalar 2 0 100%
theano.scalar.basic 1614 22 99% 46, 85, 111, 114-118, 152, 220, 283, 414-420, 446, 449, 456, 521, 712, 718, 725, 960, 978, 2856
theano.scalar.basic_scipy 138 54 61% 19, 25, 53, 59, 65, 73, 100-101, 104, 122-124, 128, 132, 136, 150-152, 158-165, 170-173, 181-189, 197, 200, 205-274
theano.scalar.sharedvar 22 1 95% 42
theano.scan_module 8 0 100%
theano.scan_module.scan 382 32 92% 56-57, 61-65, 385-387, 426, 470-476, 488-489, 498, 600-603, 654, 658-663, 671, 680, 744, 749, 763, 1055
theano.scan_module.scan_op 1162 275 76% 154-156, 158-160, 245, 333, 790-795, 810, 835, 840-841, 847-850, 856, 873-874, 880-886, 889-891, 896-900, 905, 909-913, 917-942, 948-949, 954, 964-975, 980, 987-1001, 1004, 1016, 1028, 1041, 1767, 1806-1808, 1810-1811, 1813-2109
theano.scan_module.scan_opt 943 190 80% 449, 1207, 1213, 1217-1223, 1228, 1243, 1254-1264, 1267-1277, 1281-1296, 1305-1307, 1313-1322, 1325-1335, 1340, 1345-1362, 1368-1377, 1401-1407, 1413-1418, 1422, 1429, 1452-1693
theano.scan_module.scan_perform_ext 57 1 98% 45
theano.scan_module.scan_utils 585 53 91% 21, 28-37, 50-52, 61-62, 86, 106-123, 133, 137-138, 142, 152, 154, 936, 948-1019
theano.scan_module.scan_views 18 1 94% 113
theano.sparse 16 3 81% 11-13
theano.sparse.basic 1430 11 99% 2648, 2652, 2719, 2919, 3010, 3013, 3064, 3148, 3154, 3253, 3265
theano.sparse.opt 443 140 68% 57-59, 104, 111, 135, 292-295, 302-304, 321-325, 428-436, 482, 488, 491, 504-507, 510, 518, 537-559, 758, 764-768, 908, 920-923, 1024, 1036-1039, 1127, 1130-1138, 1179, 1187-1191, 1270, 1272-1281, 1322-1329, 1337-1341, 1429, 1431-1448, 1541-1568, 1679, 1688, 1691-1697
theano.sparse.sharedvar 16 1 94% 27
theano.sparse.type 81 24 70% 5-6, 18, 22, 60, 67, 74-79, 82, 85, 87, 105, 108, 115, 118, 121, 127, 131-137, 148, 153-154
theano.sparse.utils 3 0 100%
theano.tensor 20 3 85% 26, 36, 59
theano.tensor.basic 3432 209 94% 24, 56, 58-60, 85, 101-111, 114, 6806, 7102, 7144-7146, 7152, 7176, 7256, 7272, 7289, 7311, 7329, 7339, 7344, 7349-7350, 7399-7400, 7404, 7409, 7427, 7443, 7465-7467, 7474, 7479, 7498-7499, 7508, 7513, 7518, 7525, 7529, 7551-7553, 7568-7573, 7578, 7583, 7600-7602, 7607, 7613, 7617, 7639, 7641, 7650, 7674, 7700, 7702, 7708, 7711, 7714-7715, 7724, 7794, 7822, 7864, 7867, 7878-7886, 7891, 7911, 7917, 7924-7926, 7931, 7969, 7971, 7980-8114, 8119-8124, 8128-8152, 8161-8168, 8175-8321
theano.tensor.blas 815 9 99% 466, 474, 482, 501, 518, 1950-1960
theano.tensor.blas_c 58 6 90% 267, 580, 584, 594, 607-618
theano.tensor.blas_headers 60 46 23% 6-17, 47-135, 717, 924-934, 951, 955-960, 965-967
theano.tensor.blas_scipy 38 5 87% 25-28, 32, 38
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 898 69 92% 45, 54, 413-416, 422, 1897-1965, 1973-1975, 1979-2026
theano.tensor.elemwise_cgen 130 1 99% 225
theano.tensor.extra_ops 255 3 99% 388, 398, 467
theano.tensor.io 140 120 14% 6-12, 24, 27, 30, 33, 36, 43-44, 46, 52-282
theano.tensor.nnet 6 0 100%
theano.tensor.nnet.Conv3D 145 3 98% 345-348
theano.tensor.nnet.ConvGrad3D 67 0 100%
theano.tensor.nnet.ConvTransp3D 122 1 99% 34
theano.tensor.nnet.conv 598 46 92% 31-32, 129, 264, 442, 590-593, 600, 658, 667-702, 708, 721, 874, 1230, 1251-1258
theano.tensor.nnet.nnet 740 135 82% 67-71, 245, 487, 491-495, 517, 525-527, 533, 538, 544-547, 555, 566, 701, 792-794, 828-829, 833, 836, 839, 857, 944, 947, 956, 966, 969, 992, 1394-1399, 1428-1429, 1452, 1492, 1557, 1566-1567, 1571, 1587, 1589-1595, 1598, 1601, 1607, 1612-1615, 1627, 1756, 1763, 1771-1772, 1776-1779, 1781-1870, 1891
theano.tensor.nnet.sigm 309 21 93% 29, 66, 89, 108, 338, 463, 623-624, 628, 630-631, 644, 646-647, 649-654, 665
theano.tensor.opt 2110 84 96% 15, 18, 145, 351, 472, 638-639, 642, 651-674, 677-681, 1334-1335, 1338, 1343-1344, 1373-1377, 4198-4230, 4232-4265, 4267, 4270, 4622, 4661, 4665, 4682-4692
theano.tensor.opt_uncanonicalize 42 3 93% 39, 49, 78
theano.tensor.randomstreams 66 1 98% 163
theano.tensor.raw_random 340 67 80% 55-56, 59, 62-65, 67, 70, 72-91, 134-137, 150-151, 200, 231, 246, 332, 337, 343, 381, 419-426, 505, 540, 559, 563-566, 601, 616-619, 652, 671, 675-678, 691-693, 706, 708, 716, 772-774, 778, 809-810, 823, 843, 877-889
theano.tensor.shared_randomstreams 42 5 88% 77, 79-82, 115-117
theano.tensor.sharedvar 36 4 89% 14, 86-88
theano.tensor.signal 0 0 100%
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% 147
theano.tensor.utils 31 0 100%
theano.tensor.xlogx 41 18 56% 1, 4, 10, 13-16, 29, 31-38, 41-44, 46, 57, 59
theano.updates 46 24 48% 14, 53, 59, 61-91
theano.version 8 0 100%
----------------------------------------------------------------------------
TOTAL 36234 6057 83%
----------------------------------------------------------------------
Ran 58 tests in 222.668s

FAILED (errors=8, failures=5)
Closing remaining open files: /Tmp/lisa/tmpqznC2J... done /Tmp/lisa/tmpJsrj29... done /Tmp/lisa/tmp9BgfBl... done /Tmp/lisa/tmpECw1Jb... done /Tmp/lisa/tmpsgXSGB... done /Tmp/lisa/tmppJtJZZ... done /Tmp/lisa/tmpZnrFe0... done /Tmp/lisa/tmpGKU8Wl... done /Tmp/lisa/tmpWpoMbS... done /Tmp/lisa/tmp7Hwhf6... done /Tmp/lisa/tmpKfNGv4... done
executing nosetests with mode=FAST_RUN,floatX=float32
/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/scan_inputs_groups.py:106: UserWarning: theano modules are deprecated and will be removed in release 0.7
self.M=theano.Module()
ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

EERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

...F....E/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/tests/test_mcRBM.py:131: UserWarning: The parameter 'updates' of theano.function() expects an OrderedDict, got <type 'dict'>. Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7, or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.
updates=trainer.cd_updates())
..E....E./part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_dbd.py:17: UserWarning: The parameter 'updates' of theano.function() expects an OrderedDict, got <type 'dict'>. Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7, or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.
fn = theano.function([], cost, updates=ups)
.EEE.......................E.E../part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py:73: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
env_r = f.maker.env.inputs[9]
/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py:74: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
order = f.maker.env.toposort()
/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py:76: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
assert str(f.maker.env.outputs[6].owner.inputs[0]) == 'r'
FFFF/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_lecun1998.py:26: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
for i, n in enumerate(f.maker.env.toposort()):
...
======================================================================
ERROR: test (pylearn.algorithms.sandbox.test_cost.T_logfactorial)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 13, in test
self.failUnless(numpy.all(f() - numpy.asarray([0., 0., 1.38629436, 3.29583687, 5.54517744, 8.04718956, 10.75055682, 13.62137104, 16.63553233, 19.7750212])) < 1e-5)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')
-------------------- >> begin captured logging << --------------------
theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

--------------------- >> end captured logging << ---------------------

======================================================================
ERROR: Failure: ImportError (No module named common.autoname)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/tests/test_linear_regression.py", line 3, in <module>
from pylearn.algorithms.linear_regression import *
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/linear_regression.py", line 11, in <module>
from common.autoname import AutoName
ImportError: No module named common.autoname

======================================================================
ERROR: pylearn.algorithms.tests.test_stacker.test_train
----------------------------------------------------------------------
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/Pylearn/pylearn/algorithms/tests/test_stacker.py", line 29, in test_train
cost = model.update(data, targets)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 498, in __call__
allow_downcast=s.allow_downcast)
File "/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, matrix) 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, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1,
0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1,
1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0,
0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0,
1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 0],
[1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0,
1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1,
1, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0,
1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0,
0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0],
[1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0,
0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0,
1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1,
1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0,
1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1],
[1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0,
1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0,
0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0,
1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1,
0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1],
[0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1,
1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0,
1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0,
1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1,
1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1],
[1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1,
1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0,
1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0,
0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1,
1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1],
[0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1,
0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0,
1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0,
0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1,
1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0],
[0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0,
1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1,
0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1,
1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1,
0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1],
[1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0,
1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0,
1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1,
0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0,
0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0],
[0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0,
0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1,
1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1,
1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0]]))

======================================================================
ERROR: Failure: ImportError (No module named old_dataset.dataset)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/datasets/make_test_datasets.py", line 1, in <module>
from pylearn.old_dataset.dataset import ArrayDataSet
ImportError: No module named old_dataset.dataset

======================================================================
ERROR: test_sgd.test_sgd0
----------------------------------------------------------------------
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/Pylearn/pylearn/gd/tests/test_sgd.py", line 19, in test_sgd0
c = m.step_cost(3.0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
NotImplementedError: input nd

======================================================================
ERROR: test_sgd.test_sgd_stepsize_variable
----------------------------------------------------------------------
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/Pylearn/pylearn/gd/tests/test_sgd.py", line 38, in test_sgd_stepsize_variable
c = m.step_cost(3.0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
NotImplementedError: input nd

======================================================================
ERROR: test_sgd.test_sgd_stepsize_none
----------------------------------------------------------------------
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/Pylearn/pylearn/gd/tests/test_sgd.py", line 68, in test_sgd_stepsize_none
c = m.step_cost(3.0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
NotImplementedError: input nd

======================================================================
ERROR: test_hmc.test_hmc
----------------------------------------------------------------------
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/Pylearn/pylearn/sampling/tests/test_hmc.py", line 76, in test_hmc
assert abs(sampler.avg_acceptance_rate.get_value() -
UnboundLocalError: local variable 'sampler' referenced before assignment
-------------------- >> begin captured stdout << ---------------------
HMC

--------------------- >> end captured stdout << ----------------------

======================================================================
ERROR: Failure: AttributeError ('module' object has no attribute 'RandomStreams')
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/test_scan_inputs_groups.py", line 10, in <module>
from pylearn.sandbox.scan_inputs_groups import FillMissing
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/scan_inputs_groups.py", line 428, in <module>
scannoise=ScanNoise()
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/scan_inputs_groups.py", line 391, in __init__
self.M.rand = T.RandomStreams(seed)
AttributeError: 'module' object has no attribute 'RandomStreams'

======================================================================
FAIL: test_gradient_fail (pylearn.algorithms.sandbox.test_cost.T_nlpoisson)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 56, in test_gradient_fail
self.failUnless(numpy.all(f() - numpy.asarray([206., 559.96605666, 558.96605666, 205., 557.96605666, 204., 30473.11077513, 459.96605666] < 1e-5)))
AssertionError: False is not true
-------------------- >> begin captured stdout << ---------------------
[array([-0., -1., -1., -0., -1., -0., -5., -1.])]

--------------------- >> end captured stdout << ----------------------

======================================================================
FAIL: test_kouh2008.test_A
----------------------------------------------------------------------
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/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 76, in test_A
assert str(f.maker.env.outputs[6].owner.inputs[0]) == 'r'
AssertionError:
-------------------- >> begin captured logging << --------------------
pylearn.shared.layers.kouh2008: DEBUG: dtype float64
pylearn.shared.layers.kouh2008: DEBUG: output dtype float64
pylearn.shared.layers.LogisticRegression: DEBUG: allocating params w, b 10 2 float64
--------------------- >> end captured logging << ---------------------

======================================================================
FAIL: test_kouh2008.test_smaller
----------------------------------------------------------------------
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/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 108, in test_smaller
assert rval < 6.1
AssertionError:
-------------------- >> begin captured stdout << ---------------------
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::w]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, p]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, q]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, r]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, k]
COMPILING
DONE

--------------------- >> end captured stdout << ----------------------
-------------------- >> begin captured logging << --------------------
pylearn.shared.layers.kouh2008: DEBUG: dtype float64
pylearn.shared.layers.kouh2008: DEBUG: output dtype float64
pylearn.shared.layers.LogisticRegression: DEBUG: allocating params w, b 8 2 float64
--------------------- >> end captured logging << ---------------------

======================================================================
FAIL: test_kouh2008.test_smaller32
----------------------------------------------------------------------
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/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 113, in test_smaller32
assert rval < 6.1
AssertionError:
-------------------- >> begin captured stdout << ---------------------
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::w]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, p]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, q]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, r]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, k]
COMPILING
DONE

--------------------- >> end captured stdout << ----------------------
-------------------- >> begin captured logging << --------------------
pylearn.shared.layers.kouh2008: DEBUG: dtype float64
pylearn.shared.layers.kouh2008: DEBUG: output dtype float64
pylearn.shared.layers.LogisticRegression: DEBUG: allocating params w, b 8 2 float64
--------------------- >> end captured logging << ---------------------

======================================================================
FAIL: test_kouh2008.test_big
----------------------------------------------------------------------
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/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 118, in test_big
assert rval < 0.1
AssertionError:
-------------------- >> begin captured stdout << ---------------------
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::f_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_0]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh::2008::b_1]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, Kouh2008::w]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, p]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, q]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, r]
COMPILING
DONE
PARAMS [LogisticRegression.w, LogisticRegression.b, k]
COMPILING
DONE

--------------------- >> end captured stdout << ----------------------
-------------------- >> begin captured logging << --------------------
pylearn.shared.layers.kouh2008: DEBUG: dtype float64
pylearn.shared.layers.kouh2008: DEBUG: output dtype float64
pylearn.shared.layers.LogisticRegression: DEBUG: allocating params w, b 100 2 float64
--------------------- >> end captured logging << ---------------------

----------------------------------------------------------------------
Ran 58 tests in 159.232s

FAILED (errors=9, failures=5)
Closing remaining open files: /Tmp/lisa/tmpH_UXdf... done /Tmp/lisa/tmp50UpHI... done /Tmp/lisa/tmpLB94Y9... done /Tmp/lisa/tmpuspi_t... done /Tmp/lisa/tmp4kC7VA... done /Tmp/lisa/tmpUW9Bl4... done /Tmp/lisa/tmpuk2hwl... done /Tmp/lisa/tmpzp_knP... done /Tmp/lisa/tmp4d_4mo... done /Tmp/lisa/tmpWFb9bL... done /Tmp/lisa/tmpsss71W... done
executing nosetests with mode=DEBUG_MODE with seed of the day 32510
/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/scan_inputs_groups.py:106: UserWarning: theano modules are deprecated and will be removed in release 0.7
self.M=theano.Module()
ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

EERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(2,)]')

...F....E/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/tests/test_mcRBM.py:131: UserWarning: The parameter 'updates' of theano.function() expects an OrderedDict, got <type 'dict'>. Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7, or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.
updates=trainer.cd_updates())
...E.EEE./part/01/Tmp/nightly_build/Pylearn/pylearn/gd/tests/test_dbd.py:17: UserWarning: The parameter 'updates' of theano.function() expects an OrderedDict, got <type 'dict'>. Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7, or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.
fn = theano.function([], cost, updates=ups)
.EEE........................EE../part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py:73: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
env_r = f.maker.env.inputs[9]
/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py:74: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
order = f.maker.env.toposort()
/part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py:76: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
assert str(f.maker.env.outputs[6].owner.inputs[0]) == 'r'
F.../part/01/Tmp/nightly_build/Pylearn/pylearn/shared/layers/tests/test_lecun1998.py:26: UserWarning: FunctionMaker.env is deprecated, it has been renamed 'fgraph'
for i, n in enumerate(f.maker.env.toposort()):
/Tmp/nightly_build/Theano/theano/tensor/nnet/conv.py:759: ComplexWarning: Casting complex values to real discards the imaginary part
1, val, bval, 0)
...
======================================================================
ERROR: test (pylearn.algorithms.sandbox.test_cost.T_logfactorial)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 13, in test
self.failUnless(numpy.all(f() - numpy.asarray([0., 0., 1.38629436, 3.29583687, 5.54517744, 8.04718956, 10.75055682, 13.62137104, 16.63553233, 19.7750212])) < 1e-5)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 2068, in deco
return f()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1828, in f
thunk_py()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1663, in <lambda>
n=node: p(n, [x[0] for x in i], o))
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')
-------------------- >> begin captured logging << --------------------
theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: <theano.gof.opt.LocalOptGroup instance>['constant_folding']
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 747, in transform
repl = opt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

theano.gof.opt: ERROR: Optimization failure due to: constant_folding
theano.gof.opt: ERROR: TRACEBACK:
theano.gof.opt: ERROR: Traceback (most recent call last):
File "/Tmp/nightly_build/Theano/theano/gof/opt.py", line 1213, in process_node
replacements = lopt.transform(node)
File "/Tmp/nightly_build/Theano/theano/tensor/opt.py", line 3934, in constant_folding
required = thunk()
File "/Tmp/nightly_build/Theano/theano/gof/op.py", line 615, in rval
r = p(n, [x[0] for x in i], o)
File "/Tmp/nightly_build/Theano/theano/tensor/elemwise.py", line 879, in perform
variables = ufunc(*ufunc_args)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 42, in impl
return LogFactorial.st_impl(x)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/cost.py", line 34, in st_impl
raise TypeError('type(x) = %s, must be int or long' % type(x))
TypeError: ("type(x) = <type 'float'>, must be int or long", 'While computing [logfactorial.0]: Failed calling ufunc for op scalar_logfactoral for params of shape [(10,)]')

--------------------- >> end captured logging << ---------------------

======================================================================
ERROR: Failure: ImportError (No module named common.autoname)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/tests/test_linear_regression.py", line 3, in <module>
from pylearn.algorithms.linear_regression import *
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/linear_regression.py", line 11, in <module>
from common.autoname import AutoName
ImportError: No module named common.autoname

======================================================================
ERROR: Test that the image numbers come out in the right range for various dtypes
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/dataset_ops/tests/test_cifar10.py", line 33, in test_shape_range
xval, yval = f(0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 2068, in deco
return f()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1947, in f
inputs_val=inputs_val)
BadThunkOutput: BadThunkOutput
variable : Elemwise{Composite{[Composite{[Composite{[Cast{uint8}(add(i0, i1))]}(add(i0, i1), mul(i2, i3))]}(mul(i0, i1), mul(i2, i3), i4, i5)]}}.0
Outputs Type: TensorType(uint8, vector)
Outputs Shape: (1024,)
Outputs Strides: (1,)
Inputs Type : [TensorType(float32, (True,)), TensorType(uint8, vector), TensorType(float32, (True,)), TensorType(uint8, vector), TensorType(float32, (True,)), TensorType(uint8, vector)]
Inputs Shape: [(1,), (1024,), (1,), (1024,), (1,), (1024,)]
Inputs Strides: [(4,), (1,), (4,), (1,), (4,), (1,)]
Apply : Elemwise{Composite{[Composite{[Composite{[Cast{uint8}(add(i0, i1))]}(add(i0, i1), mul(i2, i3))]}(mul(i0, i1), mul(i2, i3), i4, i5)]}}(TensorConstant{(1,) of 0.3}, Subtensor{:1024:}.0, TensorConstant{(1,) of 0.59}, Subtensor{1024:2048:}.0, TensorConstant{(1,) of 0.11}, Subtensor{2048::}.0)
thunk1 : perform
thunk2 : c_code
val1 : [ 61 44 48 ..., 188 124 99]
val2 : [ 61 44 48 ..., 188 124 99]
op : <class 'theano.tensor.elemwise.Elemwise'>
Value 1 : shape, dtype, strides, min, max, n_inf, n_nan: (1024,) uint8 (1,) 0 251 0 0
Value 2 : shape, dtype, strides, min, max, n_inf, n_nan: (1024,) uint8 (1,) 0 251 0 0
Max Abs Diff: 1
Mean Abs Diff: 0.01171875
Median Abs Diff: 0.0
Std Abs Diff: 0.107617010265
Max Rel Diff: 0
Mean Rel Diff: 0.0
Median Rel Diff: 0.0
Std Rel Diff: 0.0



======================================================================
ERROR: test_split_different (test_cifar10.TestCifar10)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/dataset_ops/tests/test_cifar10.py", line 97, in test_split_different
train_xval, train_yval = f(0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 2068, in deco
return f()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1947, in f
inputs_val=inputs_val)
BadThunkOutput: BadThunkOutput
variable : Elemwise{Composite{[Composite{[Composite{[Cast{uint8}(add(i0, i1))]}(add(i0, i1), mul(i2, i3))]}(mul(i0, i1), mul(i2, i3), i4, i5)]}}.0
Outputs Type: TensorType(uint8, vector)
Outputs Shape: (1024,)
Outputs Strides: (1,)
Inputs Type : [TensorType(float32, (True,)), TensorType(uint8, vector), TensorType(float32, (True,)), TensorType(uint8, vector), TensorType(float32, (True,)), TensorType(uint8, vector)]
Inputs Shape: [(1,), (1024,), (1,), (1024,), (1,), (1024,)]
Inputs Strides: [(4,), (1,), (4,), (1,), (4,), (1,)]
Apply : Elemwise{Composite{[Composite{[Composite{[Cast{uint8}(add(i0, i1))]}(add(i0, i1), mul(i2, i3))]}(mul(i0, i1), mul(i2, i3), i4, i5)]}}(TensorConstant{(1,) of 0.3}, Subtensor{:1024:}.0, TensorConstant{(1,) of 0.59}, Subtensor{1024:2048:}.0, TensorConstant{(1,) of 0.11}, Subtensor{2048::}.0)
thunk1 : perform
thunk2 : c_code
val1 : [ 61 44 48 ..., 188 124 99]
val2 : [ 61 44 48 ..., 188 124 99]
op : <class 'theano.tensor.elemwise.Elemwise'>
Value 1 : shape, dtype, strides, min, max, n_inf, n_nan: (1024,) uint8 (1,) 0 251 0 0
Value 2 : shape, dtype, strides, min, max, n_inf, n_nan: (1024,) uint8 (1,) 0 251 0 0
Max Abs Diff: 1
Mean Abs Diff: 0.01171875
Median Abs Diff: 0.0
Std Abs Diff: 0.107617010265
Max Rel Diff: 0
Mean Rel Diff: 0.0
Median Rel Diff: 0.0
Std Rel Diff: 0.0



======================================================================
ERROR: test that each split has the correct length
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/dataset_ops/tests/test_cifar10.py", line 126, in test_split_length
f(i)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 2068, in deco
return f()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1947, in f
inputs_val=inputs_val)
BadThunkOutput: BadThunkOutput
variable : Elemwise{Composite{[Composite{[Composite{[Cast{uint8}(add(i0, i1))]}(add(i0, i1), mul(i2, i3))]}(mul(i0, i1), mul(i2, i3), i4, i5)]}}.0
Outputs Type: TensorType(uint8, vector)
Outputs Shape: (1024,)
Outputs Strides: (1,)
Inputs Type : [TensorType(float32, (True,)), TensorType(uint8, vector), TensorType(float32, (True,)), TensorType(uint8, vector), TensorType(float32, (True,)), TensorType(uint8, vector)]
Inputs Shape: [(1,), (1024,), (1,), (1024,), (1,), (1024,)]
Inputs Strides: [(4,), (1,), (4,), (1,), (4,), (1,)]
Apply : Elemwise{Composite{[Composite{[Composite{[Cast{uint8}(add(i0, i1))]}(add(i0, i1), mul(i2, i3))]}(mul(i0, i1), mul(i2, i3), i4, i5)]}}(TensorConstant{(1,) of 0.3}, Subtensor{:1024:}.0, TensorConstant{(1,) of 0.59}, Subtensor{1024:2048:}.0, TensorConstant{(1,) of 0.11}, Subtensor{2048::}.0)
thunk1 : perform
thunk2 : c_code
val1 : [ 61 44 48 ..., 188 124 99]
val2 : [ 61 44 48 ..., 188 124 99]
op : <class 'theano.tensor.elemwise.Elemwise'>
Value 1 : shape, dtype, strides, min, max, n_inf, n_nan: (1024,) uint8 (1,) 0 251 0 0
Value 2 : shape, dtype, strides, min, max, n_inf, n_nan: (1024,) uint8 (1,) 0 251 0 0
Max Abs Diff: 1
Mean Abs Diff: 0.01171875
Median Abs Diff: 0.0
Std Abs Diff: 0.107617010265
Max Rel Diff: 0
Mean Rel Diff: 0.0
Median Rel Diff: 0.0
Std Rel Diff: 0.0



======================================================================
ERROR: Failure: ImportError (No module named old_dataset.dataset)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/datasets/make_test_datasets.py", line 1, in <module>
from pylearn.old_dataset.dataset import ArrayDataSet
ImportError: No module named old_dataset.dataset

======================================================================
ERROR: test_sgd.test_sgd0
----------------------------------------------------------------------
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/Pylearn/pylearn/gd/tests/test_sgd.py", line 19, in test_sgd0
c = m.step_cost(3.0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
NotImplementedError: input nd

======================================================================
ERROR: test_sgd.test_sgd_stepsize_variable
----------------------------------------------------------------------
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/Pylearn/pylearn/gd/tests/test_sgd.py", line 38, in test_sgd_stepsize_variable
c = m.step_cost(3.0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
NotImplementedError: input nd

======================================================================
ERROR: test_sgd.test_sgd_stepsize_none
----------------------------------------------------------------------
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/Pylearn/pylearn/gd/tests/test_sgd.py", line 68, in test_sgd_stepsize_none
c = m.step_cost(3.0)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 586, in __call__
gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error])
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
NotImplementedError: input nd

======================================================================
ERROR: test_mcmc.test_mcmc
----------------------------------------------------------------------
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/Pylearn/pylearn/sampling/tests/test_mcmc.py", line 61, in test_mcmc
sampler = _sampler_on_2d_gaussian(MCMC_sampler, burnin=3000, n_samples=90000)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sampling/tests/test_mcmc.py", line 30, in _sampler_on_2d_gaussian
samples = [sampler.draw() for r in xrange(burnin)] #burn-in
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sampling/mcmc.py", line 101, in draw
self.simulate(n_steps=n_steps)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sampling/mcmc.py", line 84, in simulate
acceptance_rate = self.accept_reject_positions(self.stepsize)
File "/Tmp/nightly_build/Theano/theano/compile/function_module.py", line 580, in __call__
outputs = self.fn()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 2068, in deco
return f()
File "/Tmp/nightly_build/Theano/theano/compile/debugmode.py", line 1779, in f
"%s" % (r, storage_map[r][0])))
InvalidValueError: InvalidValueError
type(variable) = TensorType(float64, vector)
variable = <TensorType(float64, vector)>
type(value) = <type 'numpy.ndarray'>
dtype(value) = float64
shape(value) = (3,)
value = [ inf inf inf]
min(value) = inf
max(value) = inf
isfinite = False
client_node = None
hint = Graph Input '<TensorType(float64, vector)>' has invalid value [ inf inf inf]
specific_hint = none
context = ...
<TensorType(float64, vector)> [@A]


-------------------- >> begin captured stdout << ---------------------
MCMC
initial position [[-0.08738186 -3.12888464]
[-0.96973267 0.93466579]
[ 0.04386634 1.4252155 ]]
initial stepsize 0.01

--------------------- >> end captured stdout << ----------------------

======================================================================
ERROR: Failure: AttributeError ('module' object has no attribute 'RandomStreams')
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/opt/lisa/os/epd-7.1.2/lib/python2.7/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/test_scan_inputs_groups.py", line 10, in <module>
from pylearn.sandbox.scan_inputs_groups import FillMissing
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/scan_inputs_groups.py", line 428, in <module>
scannoise=ScanNoise()
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/sandbox/scan_inputs_groups.py", line 391, in __init__
self.M.rand = T.RandomStreams(seed)
AttributeError: 'module' object has no attribute 'RandomStreams'

======================================================================
FAIL: test_gradient_fail (pylearn.algorithms.sandbox.test_cost.T_nlpoisson)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/part/01/Tmp/nightly_build/Pylearn/pylearn/algorithms/sandbox/test_cost.py", line 56, in test_gradient_fail
self.failUnless(numpy.all(f() - numpy.asarray([206., 559.96605666, 558.96605666, 205., 557.96605666, 204., 30473.11077513, 459.96605666] < 1e-5)))
AssertionError: False is not true
-------------------- >> begin captured stdout << ---------------------
[array([-0., -1., -1., -0., -1., -0., -5., -1.])]

--------------------- >> end captured stdout << ----------------------

======================================================================
FAIL: test_kouh2008.test_A
----------------------------------------------------------------------
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/Pylearn/pylearn/shared/layers/tests/test_kouh2008.py", line 76, in test_A
assert str(f.maker.env.outputs[6].owner.inputs[0]) == 'r'
AssertionError:
-------------------- >> begin captured logging << --------------------
pylearn.shared.layers.kouh2008: DEBUG: dtype float64
pylearn.shared.layers.kouh2008: DEBUG: output dtype float64
pylearn.shared.layers.LogisticRegression: DEBUG: allocating params w, b 10 2 float64
--------------------- >> end captured logging << ---------------------

----------------------------------------------------------------------
Ran 58 tests in 334.580s

FAILED (errors=11, failures=2)
Closing remaining open files: /Tmp/lisa/tmpQjF1ri... done /Tmp/lisa/tmpQQhxSj... done /Tmp/lisa/tmpZex1ZE... done /Tmp/lisa/tmpMtJf4F... done /Tmp/lisa/tmp1tJaXe... done /Tmp/lisa/tmpLy1vVk... done /Tmp/lisa/tmpGIRA6s... done /Tmp/lisa/tmpStrPV9... done /Tmp/lisa/tmp7rB5W9... done /Tmp/lisa/tmp1LjLNc... done /Tmp/lisa/tmpFOXKEr... done

Total test time: 12m 7s
Thu May 16 19:12:48 EDT 2013
689.17user 25.51system 12:07.91elapsed 98%CPU (0avgtext+0avgdata 3635896maxresident)k
132104inputs+17496outputs (520major+3924958minor)pagefaults 0swaps

li...@iro.umontreal.ca

unread,
May 18, 2013, 4:23:43 AM5/18/13
to theano-...@googlegroups.com
Fri May 17 19:00:44 EDT 2013
Ran 58 tests in 268.396s

FAILED (errors=8, failures=5)
Closing remaining open files: /Tmp/lisa/tmpp7U1yM... done /Tmp/lisa/tmpEFYZWJ... done /Tmp/lisa/tmpZiGUYP... done /Tmp/lisa/tmp09U996... done /Tmp/lisa/tmpGfU54G... done /Tmp/lisa/tmpKIHmOv... done /Tmp/lisa/tmpNMTJjo... done /Tmp/lisa/tmpMVHZZJ... done /Tmp/lisa/tmpREk54m... done /Tmp/lisa/tmp2sgAME... done /Tmp/lisa/tmpfUy2g4... done
Ran 58 tests in 181.278s

FAILED (errors=9, failures=5)
Closing remaining open files: /Tmp/lisa/tmpk9otjO... done /Tmp/lisa/tmphHrKR6... done /Tmp/lisa/tmpcPdVx2... done /Tmp/lisa/tmppUs8SS... done /Tmp/lisa/tmpQ1IOC3... done /Tmp/lisa/tmp5O2v3D... done /Tmp/lisa/tmpSbGF0c... done /Tmp/lisa/tmpxqAeFP... done /Tmp/lisa/tmp7OJPTt... done /Tmp/lisa/tmpjklSiX... done /Tmp/lisa/tmpdXgavy... done
executing nosetests with mode=DEBUG_MODE with seed of the day 99
Ran 58 tests in 339.403s

FAILED (errors=11, failures=2)
Closing remaining open files: /Tmp/lisa/tmphbVWri... done /Tmp/lisa/tmpgM1WmI... done /Tmp/lisa/tmpByV59P... done /Tmp/lisa/tmpjFNPOm... done /Tmp/lisa/tmpJ4gMXo... done /Tmp/lisa/tmpvjq5ow... done /Tmp/lisa/tmp2dDMkI... done /Tmp/lisa/tmpgkeHhW... done /Tmp/lisa/tmprPLVl4... done /Tmp/lisa/tmpnjtCgM... done /Tmp/lisa/tmpu3XVJg... done

Total test time: 13m 22s
Fri May 17 19:14:06 EDT 2013
694.71user 26.77system 13:21.47elapsed 90%CPU (0avgtext+0avgdata 3635872maxresident)k
245320inputs+17504outputs (333major+3927941minor)pagefaults 0swaps

li...@iro.umontreal.ca

unread,
May 19, 2013, 5:00:16 AM5/19/13
to theano-...@googlegroups.com
Sat May 18 19:00:38 EDT 2013
Ran 58 tests in 227.482s

FAILED (errors=8, failures=5)
Closing remaining open files: /Tmp/lisa/tmp9dQB2G... done /Tmp/lisa/tmp0xvOQ8... done /Tmp/lisa/tmpsFptn2... done /Tmp/lisa/tmpvvReL4... done /Tmp/lisa/tmpMUefFx... done /Tmp/lisa/tmpshl6PP... done /Tmp/lisa/tmpP8GtLz... done /Tmp/lisa/tmprJo4l2... done /Tmp/lisa/tmpifqIGj... done /Tmp/lisa/tmpDvQrMw... done /Tmp/lisa/tmpXe64Ce... done
Ran 58 tests in 158.945s

FAILED (errors=9, failures=5)
Closing remaining open files: /Tmp/lisa/tmpCgu9Py... done /Tmp/lisa/tmphptX_9... done /Tmp/lisa/tmpNkErqM... done /Tmp/lisa/tmpBbYm7v... done /Tmp/lisa/tmpjzlftM... done /Tmp/lisa/tmpd5xLzN... done /Tmp/lisa/tmpv4MEwe... done /Tmp/lisa/tmpcAeWE_... done /Tmp/lisa/tmpAPhlMu... done /Tmp/lisa/tmpwmD3Ne... done /Tmp/lisa/tmpijBHfA... done
executing nosetests with mode=DEBUG_MODE with seed of the day 5460
Ran 58 tests in 337.677s

FAILED (errors=11, failures=2)
Closing remaining open files: /Tmp/lisa/tmpimDjQt... done /Tmp/lisa/tmpiXNGhc... done /Tmp/lisa/tmplfMpMf... done /Tmp/lisa/tmpQWwlZu... done /Tmp/lisa/tmp9QZqZJ... done /Tmp/lisa/tmpm99sfH... done /Tmp/lisa/tmpT8xexX... done /Tmp/lisa/tmp7OpW5a... done /Tmp/lisa/tmpkG7I26... done /Tmp/lisa/tmpJ0TMsg... done /Tmp/lisa/tmp0jw2dz... done

Total test time: 12m 16s
Sat May 18 19:12:54 EDT 2013
694.78user 27.24system 12:15.31elapsed 98%CPU (0avgtext+0avgdata 3636776maxresident)k
129160inputs+17488outputs (682major+3923170minor)pagefaults 0swaps

li...@iro.umontreal.ca

unread,
May 20, 2013, 4:19:16 AM5/20/13
to theano-...@googlegroups.com
Sun May 19 19:00:38 EDT 2013
Ran 58 tests in 245.696s

FAILED (errors=8, failures=5)
Closing remaining open files: /Tmp/lisa/tmpsotAle... done /Tmp/lisa/tmp6J20Ix... done /Tmp/lisa/tmp430sem... done /Tmp/lisa/tmpq8Ilkb... done /Tmp/lisa/tmpOANmat... done /Tmp/lisa/tmps7far4... done /Tmp/lisa/tmpf1Fowf... done /Tmp/lisa/tmpxZj7c1... done /Tmp/lisa/tmpVuUtI5... done /Tmp/lisa/tmpvCYqG0... done /Tmp/lisa/tmpz5Cy_D... done
Ran 58 tests in 155.278s

FAILED (errors=9, failures=5)
Closing remaining open files: /Tmp/lisa/tmpc30jTe... done /Tmp/lisa/tmpHk01wt... done /Tmp/lisa/tmpgKIW0u... done /Tmp/lisa/tmpEVgrG7... done /Tmp/lisa/tmpRqnnEy... done /Tmp/lisa/tmpzIXDJc... done /Tmp/lisa/tmpM2U8mZ... done /Tmp/lisa/tmp18Tnxf... done /Tmp/lisa/tmpE5Tl5b... done /Tmp/lisa/tmpW2LGYm... done /Tmp/lisa/tmpvAkk5O... done
executing nosetests with mode=DEBUG_MODE with seed of the day 22183
Ran 58 tests in 335.183s

FAILED (errors=11, failures=2)
Closing remaining open files: /Tmp/lisa/tmpPQfBdT... done /Tmp/lisa/tmpNONOxP... done /Tmp/lisa/tmp2yYpw8... done /Tmp/lisa/tmpq13c0W... done /Tmp/lisa/tmpesjuvX... done /Tmp/lisa/tmp0Oifkr... done /Tmp/lisa/tmp4hPxWJ... done /Tmp/lisa/tmpfMPiuw... done /Tmp/lisa/tmpPM1US7... done /Tmp/lisa/tmpVNOjTw... done /Tmp/lisa/tmp6Zif2B... done

Total test time: 12m 27s
Sun May 19 19:13:05 EDT 2013
690.12user 25.78system 12:26.88elapsed 95%CPU (0avgtext+0avgdata 3607508maxresident)k
140808inputs+17488outputs (506major+3928358minor)pagefaults 0swaps

li...@iro.umontreal.ca

unread,
May 21, 2013, 4:51:58 AM5/21/13
to theano-...@googlegroups.com
Mon May 20 19:00:50 EDT 2013
theano.tensor.basic 3433 209 94% 24, 56, 58-60, 85, 101-111, 114, 6806, 7102, 7144-7146, 7149, 7167, 7176, 7181, 7286, 7289, 7306, 7329, 7339, 7349-7350, 7404, 7411, 7414, 7417-7419, 7430, 7433, 7439, 7447-7450, 7461, 7466-7468, 7478-7479, 7499, 7503, 7509, 7518, 7525, 7529, 7534, 7549, 7552-7554, 7556-7557, 7572-7573, 7578, 7582, 7592, 7599-7601, 7607, 7617, 7639, 7650, 7674, 7700, 7702, 7708-7709, 7711, 7714-7715, 7717, 7724, 7761, 7864, 7870, 7878-7885, 7891-7892, 7909, 7915, 7927, 7930-7935, 7975, 7984-8106, 8115, 8121-8124, 8128-8155, 8162-8169, 8179-8325
TOTAL 36235 6057 83%
----------------------------------------------------------------------
Ran 58 tests in 233.718s

FAILED (errors=8, failures=5)
Closing remaining open files: /Tmp/lisa/tmptTr9G_... done /Tmp/lisa/tmp5RLatz... done /Tmp/lisa/tmpV6VMna... done /Tmp/lisa/tmp2BHj2P... done /Tmp/lisa/tmpqL05DR... done /Tmp/lisa/tmpyE4PTw... done /Tmp/lisa/tmpjn7RbR... done /Tmp/lisa/tmpS5sw9l... done /Tmp/lisa/tmpFbpx0G... done /Tmp/lisa/tmpwt0h9H... done /Tmp/lisa/tmpymqoUy... done
File "/Tmp/nightly_build/Theano/theano/tensor/basic.py", line 765, in filter
Ran 58 tests in 172.334s

FAILED (errors=9, failures=5)
Closing remaining open files: /Tmp/lisa/tmp2X67El... done /Tmp/lisa/tmpLeGrhx... done /Tmp/lisa/tmprKGPyM... done /Tmp/lisa/tmpNF_nMR... done /Tmp/lisa/tmp9ZVc1R... done /Tmp/lisa/tmphEml1a... done /Tmp/lisa/tmpTwQmVf... done /Tmp/lisa/tmpFOEOKS... done /Tmp/lisa/tmpz9TVCL... done /Tmp/lisa/tmpaZD5Sk... done /Tmp/lisa/tmp7500Kk... done
executing nosetests with mode=DEBUG_MODE with seed of the day 15041
Ran 58 tests in 348.417s

FAILED (errors=11, failures=2)
Closing remaining open files: /Tmp/lisa/tmp3YZ3Oy... done /Tmp/lisa/tmpxhGqxu... done /Tmp/lisa/tmpreJEwy... done /Tmp/lisa/tmpXOsp63... done /Tmp/lisa/tmpCFnbyh... done /Tmp/lisa/tmpAWiC8h... done /Tmp/lisa/tmph84uJT... done /Tmp/lisa/tmpYm4aQ5... done /Tmp/lisa/tmpH5KaHL... done /Tmp/lisa/tmp1Kk96d... done /Tmp/lisa/tmp7fgSHR... done

Total test time: 12m 50s
Mon May 20 19:13:40 EDT 2013
694.00user 27.32system 12:49.66elapsed 93%CPU (0avgtext+0avgdata 3635624maxresident)k
346424inputs+17504outputs (864major+3877014minor)pagefaults 0swaps

li...@iro.umontreal.ca

unread,
May 22, 2013, 5:19:17 AM5/22/13
to theano-...@googlegroups.com
Tue May 21 19:00:50 EDT 2013
theano.scan_module.scan_opt 943 173 82% 1214, 1221, 1226, 1241-1244, 1247, 1262-1265, 1267-1272, 1275-1278, 1280-1285, 1289-1296, 1299, 1313-1315, 1317-1319, 1321-1322, 1325-1330, 1333-1334, 1340, 1343, 1348, 1353-1363, 1365, 1368-1370, 1376-1377, 1409, 1411-1415, 1421-1423, 1430, 1460-1701
TOTAL 36235 6040 83%
----------------------------------------------------------------------
Ran 58 tests in 304.789s

FAILED (errors=8, failures=5)
Closing remaining open files: /Tmp/lisa/tmpVAT4Tb... done /Tmp/lisa/tmpSyLf6H... done /Tmp/lisa/tmp2QofEP... done /Tmp/lisa/tmpJqJTBX... done /Tmp/lisa/tmp6XWMIM... done /Tmp/lisa/tmpyEzfHr... done /Tmp/lisa/tmpbm6VjR... done /Tmp/lisa/tmpJgBJ0L... done /Tmp/lisa/tmpCorpXX... done /Tmp/lisa/tmpHzJ_Kr... done /Tmp/lisa/tmpsAq3MX... done
Ran 58 tests in 160.362s

FAILED (errors=9, failures=5)
Closing remaining open files: /Tmp/lisa/tmpj4YZdU... done /Tmp/lisa/tmptB7Vrr... done /Tmp/lisa/tmpRi2EuK... done /Tmp/lisa/tmpOGUEJH... done /Tmp/lisa/tmp78e9G_... done /Tmp/lisa/tmpKS8lVI... done /Tmp/lisa/tmpOcWdJL... done /Tmp/lisa/tmp9O5Ylq... done /Tmp/lisa/tmp2QuRkA... done /Tmp/lisa/tmpGKoSWz... done /Tmp/lisa/tmpQRmMQj... done
executing nosetests with mode=DEBUG_MODE with seed of the day 14715
Ran 58 tests in 337.586s

FAILED (errors=11, failures=2)
Closing remaining open files: /Tmp/lisa/tmpe3f60b... done /Tmp/lisa/tmpO9Nhah... done /Tmp/lisa/tmpHePiYX... done /Tmp/lisa/tmpC_9n3I... done /Tmp/lisa/tmpnrnuML... done /Tmp/lisa/tmp_BxKZu... done /Tmp/lisa/tmpfDeQ7T... done /Tmp/lisa/tmpSxSGex... done /Tmp/lisa/tmpU0hlx1... done /Tmp/lisa/tmpQznGRs... done /Tmp/lisa/tmpAZaOGR... done

Total test time: 13m 35s
Tue May 21 19:14:25 EDT 2013
700.20user 25.88system 13:35.41elapsed 89%CPU (0avgtext+0avgdata 3635628maxresident)k
538784inputs+24248outputs (297major+3859607minor)pagefaults 0swaps

li...@iro.umontreal.ca

unread,
May 23, 2013, 5:43:58 AM5/23/13
to theano-...@googlegroups.com
Wed May 22 19:00:38 EDT 2013
Ran 58 tests in 283.240s

FAILED (errors=8, failures=5)
Closing remaining open files: /Tmp/lisa/tmpXmTbEE... done /Tmp/lisa/tmpVKpt8a... done /Tmp/lisa/tmpiAiBiM... done /Tmp/lisa/tmpV2tq_b... done /Tmp/lisa/tmpSA180h... done /Tmp/lisa/tmp5OVtUv... done /Tmp/lisa/tmpAGGEcv... done /Tmp/lisa/tmpNj36Z9... done /Tmp/lisa/tmp6Zcn0V... done /Tmp/lisa/tmpfNhCEM... done /Tmp/lisa/tmpKNsrFR... done
Ran 58 tests in 203.658s

FAILED (errors=9, failures=5)
Closing remaining open files: /Tmp/lisa/tmpgvlRfb... done /Tmp/lisa/tmpT530Ph... done /Tmp/lisa/tmpeCRxrN... done /Tmp/lisa/tmpji6MI4... done /Tmp/lisa/tmp5z0TmF... done /Tmp/lisa/tmp5VpZqO... done /Tmp/lisa/tmppJXNpb... done /Tmp/lisa/tmpVlxERp... done /Tmp/lisa/tmpk1ft7E... done /Tmp/lisa/tmpNT_6JB... done /Tmp/lisa/tmpnF3TsB... done
executing nosetests with mode=DEBUG_MODE with seed of the day 26266
Ran 58 tests in 334.506s

FAILED (errors=11, failures=2)
Closing remaining open files: /Tmp/lisa/tmpvc2ccK... done /Tmp/lisa/tmp3DwNJ8... done /Tmp/lisa/tmpcqYTxZ... done /Tmp/lisa/tmpnAeBTA... done /Tmp/lisa/tmphtBbO3... done /Tmp/lisa/tmpWnOR6O... done /Tmp/lisa/tmp6SBuwA... done /Tmp/lisa/tmpaQOyRa... done /Tmp/lisa/tmpG1Di4v... done /Tmp/lisa/tmpcy8yb9... done /Tmp/lisa/tmpRLFHCz... done

Total test time: 14m 9s
Wed May 22 19:14:47 EDT 2013
699.32user 26.84system 14:09.23elapsed 85%CPU (0avgtext+0avgdata 3636040maxresident)k
390840inputs+24344outputs (577major+3898944minor)pagefaults 0swaps

li...@iro.umontreal.ca

unread,
May 24, 2013, 5:13:38 AM5/24/13
to theano-...@googlegroups.com
Thu May 23 19:00:59 EDT 2013
theano.scan_module.scan_op 1166 279 76% 154-156, 158-160, 245, 333, 790-795, 810, 835, 840-841, 847-850, 856, 873-874, 880-886, 889-891, 896-900, 905, 909-913, 917-942, 948-949, 954, 964-975, 980, 987-1001, 1004, 1016, 1028, 1041, 1777-1778, 1803, 1811-2114
TOTAL 36239 6044 83%
----------------------------------------------------------------------
Ran 58 tests in 304.655s

FAILED (errors=8, failures=5)
Closing remaining open files: /Tmp/lisa/tmpe1BrPa... done /Tmp/lisa/tmptla8JM... done /Tmp/lisa/tmpfFhvDB... done /Tmp/lisa/tmpOUI3Po... done /Tmp/lisa/tmpy7fHMz... done /Tmp/lisa/tmp8ud2hI... done /Tmp/lisa/tmp2SNe_7... done /Tmp/lisa/tmpAPwvFn... done /Tmp/lisa/tmplbW0kv... done /Tmp/lisa/tmpgD2K2m... done /Tmp/lisa/tmpVjVsAR... done
Ran 58 tests in 163.934s

FAILED (errors=9, failures=5)
Closing remaining open files: /Tmp/lisa/tmpe1jv7x... done /Tmp/lisa/tmpW0DAUI... done /Tmp/lisa/tmpxtPkeO... done /Tmp/lisa/tmp0l7YjX... done /Tmp/lisa/tmpWgLXp7... done /Tmp/lisa/tmp7btgsl... done /Tmp/lisa/tmph5ZSf6... done /Tmp/lisa/tmpykQxx1... done /Tmp/lisa/tmpKkrmSH... done /Tmp/lisa/tmpXl63U9... done /Tmp/lisa/tmpAMwMHP... done
executing nosetests with mode=DEBUG_MODE with seed of the day 13412
Ran 58 tests in 341.436s

FAILED (errors=11, failures=2)
Closing remaining open files: /Tmp/lisa/tmpuTQhal... done /Tmp/lisa/tmphtosy8... done /Tmp/lisa/tmpylyZxh... done /Tmp/lisa/tmpRzcpC4... done /Tmp/lisa/tmpuCg8rN... done /Tmp/lisa/tmph8dEiW... done /Tmp/lisa/tmpL1PiSo... done /Tmp/lisa/tmp8bg7hT... done /Tmp/lisa/tmpyj4pze... done /Tmp/lisa/tmp0KlPML... done /Tmp/lisa/tmpZWbjeD... done

Total test time: 13m 47s
Thu May 23 19:14:46 EDT 2013
708.45user 26.41system 13:47.28elapsed 88%CPU (0avgtext+0avgdata 3635592maxresident)k
542008inputs+24352outputs (295major+3883952minor)pagefaults 0swaps

li...@iro.umontreal.ca

unread,
May 25, 2013, 5:25:53 AM5/25/13
to theano-...@googlegroups.com
Fri May 24 19:00:44 EDT 2013
theano.gof.link 295 34 88% 5, 18-34, 50-51, 102, 107, 135, 201, 242, 284, 360-361, 367, 370, 394, 424, 429-431, 521-540, 650
theano.gof.null_type 18 8 56% 22, 25, 28, 31, 34, 37-40
theano.gof.op 224 51 77% 10-13, 28-31, 315-349, 395, 398, 401-404, 406-407, 410, 424-427, 435, 438, 447-448, 450, 461-467, 497, 654, 670, 675, 679-680, 682-683, 723, 725-726, 731, 734-753, 776, 779, 782, 795-802, 808, 818, 820
theano.gof.opt 928 55 94% 10, 61, 81, 182, 193, 197, 200, 245, 249, 340, 589, 805, 813, 1343, 1369, 1513, 1521-1522, 1526, 1529, 1533, 1540, 1542, 1545, 1548-1585, 1589-1593, 1596, 1602, 1725, 1740, 1743
theano.gof.optdb 155 11 93% 39, 131, 173, 194, 239, 248, 253-254, 257, 273, 277
theano.gof.python25 1 0 100%
theano.gof.sched 78 49 37% 3, 28, 30-31, 44, 56-69, 92-106, 136, 138, 140-154, 179-197
theano.gof.toolbox 184 27 85% 7-11, 199, 259, 263-267, 271-272, 276-277, 285, 293, 295, 298-299, 304, 307-308, 311-312, 315-316, 320, 324-325
theano.gof.type 83 25 70% 12, 45, 97-140, 181-200, 215, 228, 257, 295, 306, 327, 356-360, 404, 409-412, 425, 446, 459, 462-465
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 220 121 45% 1-7, 19-20, 22-35, 49-51, 53-56, 59-61, 63-64, 72, 77, 87-90, 105-107, 109-111, 113, 124, 132-133, 141-144, 146-152, 154-164, 166-168, 172, 174, 176-180, 191, 198-231, 233-239, 241, 245, 247, 259, 272-273, 276, 281-284, 311, 316, 319-324, 331, 342-346, 350, 353, 356, 361-402
theano.gof.vm 398 14 96% 33, 36-38, 53-81, 97-104, 115, 133, 147, 854
theano.gradient 615 21 97% 33-38, 60, 67, 109, 1467, 1503-1506, 1512, 1515-1516, 1519-1529, 1579, 1586, 1599, 1621
theano.ifelse 356 155 56% 88, 99-106, 131, 137, 148, 196-197, 457-462, 467-487, 492-493, 498-501, 507, 509-511, 522-536, 540-541, 548, 551-552, 554-562, 566-586, 588-592, 597-612, 615-637, 639-643, 648-697
theano.misc 0 0 100%
theano.misc.cpucount 18 15 17% 41-57
theano.misc.ordered_set 111 78 30% 1-10, 21-48, 64, 73, 79, 104-113, 115-125, 132-220
theano.misc.safe_asarray 13 2 85% 31, 48
theano.misc.strutil 34 27 21% 17-29, 32, 37-60
theano.misc.windows 20 9 55% 1-5, 11-23
theano.printing 655 183 72% 17-19, 27, 29-30, 34-37, 82, 88, 90-91, 103-104, 113-114, 117-121, 240, 242, 247, 252, 257, 287, 294, 297-299, 359, 365, 368-373, 376-398, 403-409, 415, 431, 486, 786, 789, 795-801, 811-814, 821-897, 901, 905, 908, 910, 929, 932, 936, 940-945, 948, 981, 1063, 1080-1152, 1161
theano.sandbox 0 0 100%
theano.sandbox.cuda 205 6 97% 366, 411, 431, 482-491
theano.sandbox.cuda.basic_ops 986 78 92% 384, 443, 1032, 1188, 1244-1248, 1387, 1408-1409, 1487, 1517-1518, 2375, 2420, 2452, 2458, 2609, 2612, 2674, 2705, 2758, 2807, 2819, 2877, 2884, 2949, 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 1 99% 942
theano.sandbox.cuda.elemwise 466 170 64% 168-261, 267-408, 527, 533, 580-581, 583, 585-589, 621-624, 663-664, 715, 736, 787, 905, 1050-1054
theano.sandbox.cuda.kernel_codegen 61 34 44% 17, 20-23, 34, 64-69, 109, 115, 121, 143, 194-213, 252, 285-316
theano.sandbox.cuda.nnet 102 23 77% 30-32, 93-95, 209, 225, 228, 231, 234, 238, 241-243, 383, 534, 547-549, 655-701
theano.sandbox.cuda.nvcc_compiler 231 3 99% 79, 91, 383
theano.sandbox.cuda.opt 787 1 99% 343
theano.sandbox.cuda.rng_curand 120 6 95% 134, 268, 277-281
theano.sandbox.cuda.type 165 1 99% 483
theano.sandbox.cuda.var 91 18 80% 51, 148, 153-167, 204-205
theano.sandbox.softsign 23 4 83% 9, 11, 19, 25
theano.scalar 2 0 100%
theano.scalar.basic 1614 22 99% 46, 85, 111, 114-118, 152, 220, 283, 414-420, 446, 449, 456, 521, 712, 718, 725, 960, 978, 2856
theano.scalar.basic_scipy 138 54 61% 19, 25, 53, 59, 65, 73, 100-101, 104, 122-124, 128, 132, 136, 150-152, 158-165, 170-173, 181-189, 197, 200, 205-274
theano.scalar.sharedvar 22 1 95% 42
theano.scan_module 8 0 100%
theano.scan_module.scan 382 32 92% 56-57, 61-65, 385-387, 426, 470-476, 488-489, 498, 600-603, 654, 658-663, 671, 680, 744, 749, 763, 1055
theano.scan_module.scan_op 1166 279 76% 154-156, 158-160, 245, 333, 790-795, 810, 835, 840-841, 847-850, 856, 873-874, 880-886, 889-891, 896-900, 905, 909-913, 917-942, 948-949, 954, 964-975, 980, 987-1001, 1004, 1016, 1028, 1041, 1777-1778, 1803, 1811-2114
theano.scan_module.scan_opt 943 164 83% 1221, 1226, 1262-1265, 1267-1272, 1275-1278, 1280-1285, 1289-1296, 1299, 1313-1315, 1321-1322, 1325-1330, 1333-1334, 1340, 1343, 1348, 1353-1363, 1365, 1368-1370, 1376-1377, 1409, 1411-1415, 1421-1423, 1430, 1460-1701
theano.scan_module.scan_perform_ext 57 1 98% 45
theano.scan_module.scan_utils 585 51 91% 21, 28-37, 50-52, 61-62, 86, 110-123, 133, 137-138, 142, 152, 154, 936, 948-1019
theano.scan_module.scan_views 18 1 94% 113
theano.sparse 16 3 81% 11-13
theano.sparse.basic 1430 11 99% 2648, 2652, 2719, 2919, 3010, 3013, 3064, 3148, 3154, 3253, 3265
theano.sparse.opt 443 140 68% 57-59, 104, 111, 135, 292-295, 302-304, 321-325, 428-436, 482, 488, 491, 504-507, 510, 518, 537-559, 758, 764-768, 908, 920-923, 1024, 1036-1039, 1127, 1130-1138, 1179, 1187-1191, 1270, 1272-1281, 1322-1329, 1337-1341, 1429, 1431-1448, 1541-1568, 1679, 1688, 1691-1697
theano.sparse.sharedvar 16 1 94% 27
theano.sparse.type 81 24 70% 5-6, 18, 22, 60, 67, 74-79, 82, 85, 87, 105, 108, 115, 118, 121, 127, 131-137, 148, 153-154
theano.sparse.utils 3 0 100%
theano.tensor 20 3 85% 26, 36, 59
theano.tensor.basic 3433 200 94% 24, 56, 58-60, 85, 101-111, 114, 7144-7146, 7149, 7167, 7176, 7181, 7289, 7306, 7329, 7339, 7404, 7411, 7414, 7417-7419, 7430, 7433, 7439, 7447-7450, 7461, 7466-7468, 7478-7479, 7499, 7503, 7509, 7518, 7525, 7529, 7534, 7549, 7552-7554, 7556-7557, 7572-7573, 7578, 7582, 7592, 7599-7601, 7607, 7617, 7639, 7650, 7674, 7700, 7708, 7714-7715, 7717, 7724, 7761, 7864, 7870, 7878-7885, 7891-7892, 7909, 7927, 7930-7935, 7975, 7984-8106, 8115, 8121-8124, 8128-8155, 8162-8169, 8179-8325
theano.tensor.blas 815 9 99% 466, 474, 482, 501, 518, 1950-1960
theano.tensor.blas_c 58 6 90% 267, 580, 584, 594, 607-618
theano.tensor.blas_headers 60 46 23% 6-17, 47-135, 717, 924-934, 951, 955-960, 965-967
theano.tensor.blas_scipy 38 5 87% 25-28, 32, 38
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 898 69 92% 45, 54, 413-416, 422, 1897-1965, 1973-1975, 1979-2026
theano.tensor.elemwise_cgen 130 1 99% 225
theano.tensor.extra_ops 255 3 99% 388, 398, 467
theano.tensor.io 140 120 14% 6-12, 24, 27, 30, 33, 36, 43-44, 46, 52-282
theano.tensor.nnet 6 0 100%
theano.tensor.nnet.Conv3D 145 3 98% 345-348
theano.tensor.nnet.ConvGrad3D 67 0 100%
theano.tensor.nnet.ConvTransp3D 122 1 99% 34
theano.tensor.nnet.conv 598 45 92% 31-32, 129, 264, 442, 590-593, 600, 658, 667-702, 708, 721, 1230, 1251-1258
theano.tensor.nnet.nnet 740 133 82% 67-71, 245, 487, 491-495, 525-527, 533, 544-547, 555, 566, 701, 792-794, 828-829, 833, 836, 839, 857, 944, 947, 956, 966, 969, 992, 1394-1399, 1428-1429, 1452, 1492, 1557, 1566-1567, 1571, 1587, 1589-1595, 1598, 1601, 1607, 1612-1615, 1627, 1756, 1763, 1771-1772, 1776-1779, 1781-1870, 1891
theano.tensor.nnet.sigm 309 21 93% 29, 66, 89, 108, 338, 463, 623-624, 628, 630-631, 644, 646-647, 649-654, 665
theano.tensor.opt 2110 82 96% 15, 18, 145, 351, 472, 638-639, 642, 651-674, 677-681, 1334-1335, 1338, 1343-1344, 1373-1377, 4198-4230, 4232-4265, 4267, 4270, 4622, 4661, 4665, 4685-4692
theano.tensor.opt_uncanonicalize 42 3 93% 39, 49, 78
theano.tensor.randomstreams 66 1 98% 163
theano.tensor.raw_random 340 67 80% 55-56, 59, 62-65, 67, 70, 72-91, 134-137, 150-151, 200, 231, 246, 332, 337, 343, 381, 419-426, 505, 540, 559, 563-566, 601, 616-619, 652, 671, 675-678, 691-693, 706, 708, 716, 772-774, 778, 809-810, 823, 843, 877-889
theano.tensor.shared_randomstreams 42 5 88% 77, 79-82, 115-117
theano.tensor.sharedvar 36 4 89% 14, 86-88
theano.tensor.signal 0 0 100%
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% 147
theano.tensor.utils 31 0 100%
theano.tensor.xlogx 41 18 56% 1, 4, 10, 13-16, 29, 31-38, 41-44, 46, 57, 59
theano.updates 46 24 48% 14, 53, 59, 61-91
theano.version 8 0 100%
----------------------------------------------------------------------------
TOTAL 36239 5987 83%
----------------------------------------------------------------------
Ran 58 tests in 274.346s

FAILED (errors=8, failures=5)
Closing remaining open files: /Tmp/lisa/tmpg9n8QT... done /Tmp/lisa/tmpjGWPuF... done /Tmp/lisa/tmphr3M0v... done /Tmp/lisa/tmpv7dDQC... done /Tmp/lisa/tmpV7cVyj... done /Tmp/lisa/tmpDvXkX0... done /Tmp/lisa/tmpPbjUBQ... done /Tmp/lisa/tmpc96hak... done /Tmp/lisa/tmpgnNjxA... done /Tmp/lisa/tmpDstv2g... done /Tmp/lisa/tmptD1tjC... done
Ran 58 tests in 183.806s

FAILED (errors=9, failures=5)
Closing remaining open files: /Tmp/lisa/tmpmK43vu... done /Tmp/lisa/tmpBgfW8y... done /Tmp/lisa/tmpmxkYF6... done /Tmp/lisa/tmpU2owFZ... done /Tmp/lisa/tmp_hnk1i... done /Tmp/lisa/tmpjlIiZz... done /Tmp/lisa/tmpTwdIUP... done /Tmp/lisa/tmpYG3lEM... done /Tmp/lisa/tmpOKIPY_... done /Tmp/lisa/tmpFTwgwL... done /Tmp/lisa/tmp4iMC35... done
executing nosetests with mode=DEBUG_MODE with seed of the day 8443
Ran 58 tests in 348.056s

FAILED (errors=11, failures=2)
Closing remaining open files: /Tmp/lisa/tmpsXCgbH... done /Tmp/lisa/tmpQKlXuJ... done /Tmp/lisa/tmpBxjahQ... done /Tmp/lisa/tmpRGETo_... done /Tmp/lisa/tmpHe95CV... done /Tmp/lisa/tmp_KpK1e... done /Tmp/lisa/tmpRcDeye... done /Tmp/lisa/tmpJum4h3... done /Tmp/lisa/tmpyXQkXu... done /Tmp/lisa/tmpVn_DOA... done /Tmp/lisa/tmpURUump... done

Total test time: 13m 38s
Fri May 24 19:14:22 EDT 2013
711.00user 27.17system 13:38.10elapsed 90%CPU (0avgtext+0avgdata 3635592maxresident)k
186208inputs+17768outputs (340major+3928918minor)pagefaults 0swaps

li...@iro.umontreal.ca

unread,
May 26, 2013, 7:30:35 AM5/26/13
to theano-...@googlegroups.com
Sat May 25 19:00:46 EDT 2013
theano.sandbox.cuda.nvcc_compiler 231 2 99% 79, 91
theano.sandbox.cuda.opt 787 1 99% 343
theano.sandbox.cuda.rng_curand 120 6 95% 134, 268, 277-281
theano.sandbox.cuda.type 165 1 99% 483
theano.sandbox.cuda.var 91 18 80% 51, 148, 153-167, 204-205
theano.sandbox.softsign 23 4 83% 9, 11, 19, 25
theano.scalar 2 0 100%
theano.scalar.basic 1654 37 98% 46, 85, 111, 114-118, 152, 220, 283, 414-420, 446, 449, 456, 521, 712, 718, 725, 960, 2855-2859, 2864-2867, 2881, 2888, 2891, 2901, 2909, 2918, 2920, 2929, 2944, 2950
theano.scalar.basic_scipy 138 54 61% 19, 25, 53, 59, 65, 73, 100-101, 104, 122-124, 128, 132, 136, 150-152, 158-165, 170-173, 181-189, 197, 200, 205-274
theano.scalar.sharedvar 22 1 95% 42
theano.scan_module 8 0 100%
theano.scan_module.scan 382 32 92% 56-57, 61-65, 385-387, 426, 470-476, 488-489, 498, 600-603, 654, 658-663, 671, 680, 744, 749, 763, 1055
theano.scan_module.scan_op 1166 279 76% 154-156, 158-160, 245, 333, 790-795, 810, 835, 840-841, 847-850, 856, 873-874, 880-886, 889-891, 896-900, 905, 909-913, 917-942, 948-949, 954, 964-975, 980, 987-1001, 1004, 1016, 1028, 1041, 1777-1778, 1803, 1811-2114
theano.scan_module.scan_opt 943 164 83% 1221, 1226, 1262-1265, 1267-1272, 1275-1278, 1280-1285, 1289-1296, 1299, 1313-1315, 1321-1322, 1325-1330, 1333-1334, 1340, 1343, 1348, 1353-1363, 1365, 1368-1370, 1376-1377, 1409, 1411-1415, 1421-1423, 1430, 1460-1701
theano.scan_module.scan_perform_ext 57 1 98% 45
theano.scan_module.scan_utils 585 51 91% 21, 28-37, 50-52, 61-62, 86, 110-123, 133, 137-138, 142, 152, 154, 936, 948-1019
theano.scan_module.scan_views 18 1 94% 113
theano.sparse 16 3 81% 11-13
theano.sparse.basic 1430 11 99% 2648, 2652, 2719, 2919, 3010, 3013, 3064, 3148, 3154, 3253, 3265
theano.sparse.opt 443 140 68% 57-59, 104, 111, 135, 292-295, 302-304, 321-325, 428-436, 482, 488, 491, 504-507, 510, 518, 537-559, 758, 764-768, 908, 920-923, 1024, 1036-1039, 1127, 1130-1138, 1179, 1187-1191, 1270, 1272-1281, 1322-1329, 1337-1341, 1429, 1431-1448, 1541-1568, 1679, 1688, 1691-1697
theano.sparse.sharedvar 16 1 94% 27
theano.sparse.type 81 24 70% 5-6, 18, 22, 60, 67, 74-79, 82, 85, 87, 105, 108, 115, 118, 121, 127, 131-137, 148, 153-154
theano.sparse.utils 3 0 100%
theano.tensor 20 3 85% 26, 36, 59
theano.tensor.basic 3433 202 94% 24, 56, 58-60, 85, 101-111, 114, 7145-7146, 7149, 7167, 7176, 7191-7192, 7280, 7306, 7311-7312, 7326, 7329, 7339, 7344, 7395, 7399-7400, 7404, 7414, 7419, 7427, 7430-7433, 7437-7439, 7447, 7450, 7453, 7461, 7472, 7479, 7508, 7513, 7520, 7525, 7529, 7534, 7556, 7565-7569, 7583, 7589, 7596, 7599, 7617, 7632-7633, 7636, 7650, 7664, 7699, 7708, 7715, 7717, 7733, 7879-7886, 7889, 7891, 7896, 7899, 7926, 7932, 7936-7946, 7984, 7986, 7995-8105, 8110-8115, 8120, 8128-8152, 8166-8167, 8177-8183, 8190-8336
theano.tensor.blas 815 9 99% 466, 474, 482, 501, 518, 1950-1960
theano.tensor.blas_c 58 6 90% 267, 580, 584, 594, 607-618
theano.tensor.blas_headers 60 46 23% 6-17, 47-135, 717, 924-934, 951, 955-960, 965-967
theano.tensor.blas_scipy 38 5 87% 25-28, 32, 38
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 910 77 92% 45, 54, 413-416, 422, 1859-1867, 1873, 1877-1968, 1972-1974, 1982-2062
theano.tensor.elemwise_cgen 130 0 100%
theano.tensor.extra_ops 255 3 99% 388, 398, 467
theano.tensor.io 140 120 14% 6-12, 24, 27, 30, 33, 36, 43-44, 46, 52-282
theano.tensor.nnet 6 0 100%
theano.tensor.nnet.Conv3D 145 3 98% 345-348
theano.tensor.nnet.ConvGrad3D 67 0 100%
theano.tensor.nnet.ConvTransp3D 122 1 99% 34
theano.tensor.nnet.conv 598 45 92% 31-32, 129, 264, 442, 590-593, 600, 658, 667-702, 708, 721, 1230, 1251-1258
theano.tensor.nnet.nnet 740 133 82% 67-71, 245, 487, 491-495, 525-527, 533, 544-547, 555, 566, 701, 792-794, 828-829, 833, 836, 839, 857, 944, 947, 956, 966, 969, 992, 1394-1399, 1428-1429, 1452, 1492, 1557, 1566-1567, 1571, 1587, 1589-1595, 1598, 1601, 1607, 1612-1615, 1627, 1756, 1763, 1771-1772, 1776-1779, 1781-1870, 1891
theano.tensor.nnet.sigm 324 53 84% 29, 58, 69, 74, 77-78, 108, 120-121, 166, 337, 356-357, 376, 379, 447-448, 465, 469, 490, 596-597, 602, 607, 617, 619, 627, 631-632, 650-655, 665, 669-708
theano.tensor.opt 2110 82 96% 15, 18, 145, 351, 472, 638-639, 642, 651-674, 677-681, 1334-1335, 1338, 1343-1344, 1373-1377, 4198-4230, 4232-4265, 4267, 4270, 4622, 4661, 4665, 4685-4692
theano.tensor.opt_uncanonicalize 42 3 93% 39, 49, 78
theano.tensor.randomstreams 66 1 98% 163
theano.tensor.raw_random 340 67 80% 55-56, 59, 62-65, 67, 70, 72-91, 134-137, 150-151, 200, 231, 246, 332, 337, 343, 381, 419-426, 505, 540, 559, 563-566, 601, 616-619, 652, 671, 675-678, 691-693, 706, 708, 716, 772-774, 778, 809-810, 823, 843, 877-889
theano.tensor.shared_randomstreams 42 5 88% 77, 79-82, 115-117
theano.tensor.sharedvar 36 4 89% 14, 86-88
theano.tensor.signal 0 0 100%
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% 147
theano.tensor.utils 31 0 100%
theano.tensor.xlogx 41 18 56% 1, 4, 10, 13-16, 29, 31-38, 41-44, 46, 57, 59
theano.updates 46 24 48% 14, 53, 59, 61-91
theano.version 8 0 100%
----------------------------------------------------------------------------
TOTAL 36306 6042 83%
----------------------------------------------------------------------
Ran 58 tests in 380.654s

FAILED (errors=8, failures=5)
Closing remaining open files: /Tmp/lisa/tmpeGfBfJ... done /Tmp/lisa/tmpTprw9E... done /Tmp/lisa/tmp2iPLTI... done /Tmp/lisa/tmpBElQRY... done /Tmp/lisa/tmpOh8V7A... done /Tmp/lisa/tmpnyVPcj... done /Tmp/lisa/tmpxB_0kq... done /Tmp/lisa/tmpxScReC... done /Tmp/lisa/tmpT8D5Sf... done /Tmp/lisa/tmphHCfuJ... done /Tmp/lisa/tmpaFJask... done
Ran 58 tests in 229.159s

FAILED (errors=9, failures=5)
Closing remaining open files: /Tmp/lisa/tmpRgYFJO... done /Tmp/lisa/tmps3lafB... done /Tmp/lisa/tmpMFYPJH... done /Tmp/lisa/tmpdcFsgE... done /Tmp/lisa/tmpRtr44X... done /Tmp/lisa/tmpQy1DBs... done /Tmp/lisa/tmpW3DDAr... done /Tmp/lisa/tmpwHuWE4... done /Tmp/lisa/tmpRng4Mu... done /Tmp/lisa/tmpNQ6u_G... done /Tmp/lisa/tmplqd73s... done
executing nosetests with mode=DEBUG_MODE with seed of the day 1448
Ran 58 tests in 451.690s

FAILED (errors=11, failures=2)
Closing remaining open files: /Tmp/lisa/tmplfSXpE... done /Tmp/lisa/tmpfX0GG5... done /Tmp/lisa/tmpk_ygR2... done /Tmp/lisa/tmpVqZGGF... done /Tmp/lisa/tmpe4_eU2... done /Tmp/lisa/tmpWlcr3F... done /Tmp/lisa/tmpnyJZou... done /Tmp/lisa/tmpHqTwUp... done /Tmp/lisa/tmp7bJzdx... done /Tmp/lisa/tmpJH1HIh... done /Tmp/lisa/tmpoqIPlY... done

Total test time: 17m 54s
Sat May 25 19:18:40 EDT 2013
941.43user 60.42system 17:53.93elapsed 93%CPU (0avgtext+0avgdata 3572588maxresident)k
433920inputs+574744outputs (296major+15406195minor)pagefaults 0swaps
Reply all
Reply to author
Forward
0 new messages