Thanks for reporting this.
There are 3 errors and 2 failures in the tests in that build, the TypeError:
"'numpy.float64' object cannot be interpreted
as an index" (3) points to being another problem with numpy 1.12.0.
1)
<cut>
ERROR: test_infer_shape (theano.sparse.tests.test_sp2.BinomialTester)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/<<PKGBUILDDIR>>/theano/sparse/tests/test_sp2.py", line 100, in
test_infer_shape
self.op_class)
File "/<<PKGBUILDDIR>>/theano/tests/unittest_tools.py", line 251, in
_compile_and_check
numeric_outputs = outputs_function(*numeric_inputs)
File "/<<PKGBUILDDIR>>/theano/compile/function_module.py", line 871, in
__call__
storage_map=getattr(self.fn, 'storage_map', None))
File "/<<PKGBUILDDIR>>/theano/gof/link.py", line 314, in raise_with_op
reraise(exc_type, exc_value, exc_trace)
File "/<<PKGBUILDDIR>>/theano/compile/function_module.py", line 859, in
__call__
outputs = self.fn()
File "/<<PKGBUILDDIR>>/theano/gof/op.py", line 912, in rval
r = p(n, [x[0] for x in i], o)
File "/<<PKGBUILDDIR>>/theano/sparse/sandbox/sp2.py", line 125, in perform
binomial = numpy.random.binomial(n, p, size=shape)
File "mtrand.pyx", line 3764, in mtrand.RandomState.binomial
(numpy/random/mtrand/mtrand.c:31661)
TypeError: Cannot cast array data from dtype('float64') to dtype('int64')
according to the rule 'safe'
Apply node that caused the error: Binomial{format='csc',
dtype='float64'}(<TensorType(float64, scalar)>, <TensorType(float64, scalar)>,
<TensorType(int64, vector)>)
Toposort index: 0
Inputs types: [TensorType(float64, scalar), TensorType(float64, scalar),
TensorType(int64, vector)]
Inputs shapes: [(), (), (2,)]
Inputs strides: [(), (), (8,)]
Inputs values: [array(5.0), array(0.25), array([3, 5])]
Outputs clients: [['output']]
Backtrace when the node is created(use Theano flag traceback.limit=N to make it
longer):
File "/usr/lib/python2.7/dist-packages/nose/suite.py", line 177, in __call__
return self.run(*arg, **kw)
File "/usr/lib/python2.7/dist-packages/nose/suite.py", line 224, in run
test(orig)
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 45, in __call__
return self.run(*arg, **kwarg)
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 133, in run
self.runTest(result)
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 151, in runTest
test(result)
File "/usr/lib/python2.7/unittest/case.py", line 393, in __call__
return self.run(*args, **kwds)
File "/usr/lib/python2.7/unittest/case.py", line 329, in run
testMethod()
File "/<<PKGBUILDDIR>>/theano/sparse/tests/test_sp2.py", line 98, in
test_infer_shape
[Binomial(sp_format, o_type)(*self.inputs)],
HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and
storage map footprint of this apply node.
</cut>
2)
<cut>
RROR: test_op (theano.sparse.tests.test_sp2.BinomialTester)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/<<PKGBUILDDIR>>/theano/sparse/tests/test_sp2.py", line 85, in test_op
tested = f(*self._inputs)
File "/<<PKGBUILDDIR>>/theano/compile/function_module.py", line 871, in
__call__
storage_map=getattr(self.fn, 'storage_map', None))
File "/<<PKGBUILDDIR>>/theano/gof/link.py", line 314, in raise_with_op
reraise(exc_type, exc_value, exc_trace)
File "/<<PKGBUILDDIR>>/theano/compile/function_module.py", line 859, in
__call__
outputs = self.fn()
File "/<<PKGBUILDDIR>>/theano/gof/op.py", line 912, in rval
r = p(n, [x[0] for x in i], o)
File "/<<PKGBUILDDIR>>/theano/sparse/sandbox/sp2.py", line 125, in perform
binomial = numpy.random.binomial(n, p, size=shape)
File "mtrand.pyx", line 3764, in mtrand.RandomState.binomial
(numpy/random/mtrand/mtrand.c:31661)
TypeError: Cannot cast array data from dtype('float64') to dtype('int64')
according to the rule 'safe'
Apply node that caused the error: Binomial{format='csc',
dtype='float64'}(<TensorType(float64, scalar)>, <TensorType(float64, scalar)>,
<TensorType(int64, vector)>)
Toposort index: 0
Inputs types: [TensorType(float64, scalar), TensorType(float64, scalar),
TensorType(int64, vector)]
Inputs shapes: [(), (), (2,)]
Inputs strides: [(), (), (8,)]
Inputs values: [array(5.0), array(0.25), array([3, 5])]
Outputs clients: [['output']]
Backtrace when the node is created(use Theano flag traceback.limit=N to make it
longer):
File "/usr/lib/python2.7/dist-packages/nose/suite.py", line 177, in __call__
return self.run(*arg, **kw)
File "/usr/lib/python2.7/dist-packages/nose/suite.py", line 224, in run
test(orig)
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 45, in __call__
return self.run(*arg, **kwarg)
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 133, in run
self.runTest(result)
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 151, in runTest
test(result)
File "/usr/lib/python2.7/unittest/case.py", line 393, in __call__
return self.run(*args, **kwds)
File "/usr/lib/python2.7/unittest/case.py", line 329, in run
testMethod()
File "/<<PKGBUILDDIR>>/theano/sparse/tests/test_sp2.py", line 83, in test_op
Binomial(sp_format, o_type)(*self.inputs))
</cut>
3)
<cut>
ERROR: test_bincountFn (theano.tensor.tests.test_extra_ops.TestBinCountOp)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/<<PKGBUILDDIR>>/theano/tensor/tests/test_extra_ops.py", line 160, in
test_bincountFn
assert (ref(a) == f1(a)).all()
File "/<<PKGBUILDDIR>>/theano/tensor/tests/test_extra_ops.py", line 146, in
ref
out = np.zeros(size, dtype=a.dtype)
TypeError: 'numpy.float64' object cannot be interpreted as an index
</cut>
4)
<cut>
FAIL: test_c (theano.tensor.tests.test_elemwise.test_CAReduce)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/<<PKGBUILDDIR>>/theano/tensor/tests/test_elemwise.py", line 524, in
test_c
self.with_linker(gof.CLinker(), scalar.and_, dtype=dtype)
File "/<<PKGBUILDDIR>>/theano/tensor/tests/test_elemwise.py", line 455, in
with_linker
(f_xv, zv, xsh, tosum))
AssertionError: (array(1, dtype=int8), array(-1, dtype=int8), (5, 0), [0, 1])
</cut>
5)
<cut>
FAIL: test_perform (theano.tensor.tests.test_elemwise.test_CAReduce)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/<<PKGBUILDDIR>>/theano/tensor/tests/test_elemwise.py", line 489, in
test_perform
self.with_linker(gof.PerformLinker(), scalar.and_, dtype=dtype)
File "/<<PKGBUILDDIR>>/theano/tensor/tests/test_elemwise.py", line 455, in
with_linker
(f_xv, zv, xsh, tosum))
AssertionError: (array(1, dtype=int8), array(-1, dtype=int8), (5, 0), [0, 1])
</cut>
DS
--
4096R/DF5182C8
Debian Developer (sten...@debian.org)
LPIC-1 (LPI000329859 64mz6f7kt4)
http://www.danielstender.com/
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