def test1(self):
# this is a quick test after the LazyLinker branch merge
# to check that all the current modes can still be used.
linker_classes_involved = []
predef_modes = ['FAST_COMPILE', 'FAST_RUN', 'DEBUG_MODE']
# Use a new instance of ProfileMode instead of 'PROFILE_MODE' to
# avoid printing a profile mode summary in nose output
predef_modes.append(ProfileMode())
# Linkers to use with regular Mode
linkers = ['c|py', 'c|py_nogc', 'vm', 'vm_nogc', 'cvm', 'cvm_nogc']
modes = predef_modes + [Mode(linker, 'fast_run') for linker in linkers]
for mode in modes:
x = T.matrix()
y = T.vector()
f = theano.function([x, y], x + y, mode=mode)
# test that it runs something
f([[1, 2], [3, 4]], [5, 6])
linker_classes_involved.append(f.maker.mode.linker.__class__)
print 'MODE:', mode, f.maker.mode.linker, 'stop'
# regression check:
# there should be
# - VM_Linker
# - OpWiseCLinker (FAST_RUN)
# - WrapLinker (PROFILE_MODE)
# - PerformLinker (FAST_COMPILE)
# - DebugMode's Linker (DEBUG_MODE)
assert 5 == len(set(linker_classes_involved))
def test_1(self):
# First, compile a function with a new ProfileMode() object
# No need to call that function
x = T.matrix()
mode = ProfileMode()
theano.function([x], x * 2, mode=mode)
# Then, build a mode with the same linker, and a modified optimizer
default_mode = theano.compile.mode.get_default_mode()
modified_mode = default_mode.including('specialize')
# The following line used to fail, with Python 2.4, in July 2012,
# because an fgraph was associated to the default linker
copy.deepcopy(modified_mode)
# More straightforward test
linker = theano.compile.mode.get_default_mode().linker
assert not hasattr(linker, "fgraph") or linker.fgraph is None