def test_broken_pickle_with_shared(self):
saves = []
def pers_save(obj):
if isinstance(obj, np.ndarray):
saves.append(obj)
return len(saves) - 1
else:
return None
def pers_load(id):
return saves[id]
b = np.random.rand(5, 4)
x = theano.tensor.matrix()
y = theano.shared(b)
f = theano.function([x], theano.tensor.dot(x, y))
from theano.compat import BytesIO
fp = BytesIO()
p = pickle.Pickler(fp, 2)
p.persistent_id = pers_save
try:
p.dump(f)
except NotImplementedError as e:
if exc_message(e).startswith('DebugMode is not picklable'):
return
else:
raise
fp2 = BytesIO(fp.getvalue())
fp.close()
p = pickle.Unpickler(fp2)
p.persistent_load = pers_load
p.load()
fp2.close()
y = theano.shared(b)
f = theano.function([x], theano.tensor.dot(x, y))
from theano.compat import BytesIO
fp = BytesIO()
p = cPickle.Pickler(fp, 2)
p.persistent_id = pers_save
try:
p.dump(f)
except NotImplementedError, e:
if exc_message(e).startswith('DebugMode is not picklable'):
return
else:
raise
fp2 = BytesIO(fp.getvalue())
fp.close()
p = cPickle.Unpickler(fp2)
p.persistent_load = pers_load
f2 = p.load()
fp2.close()
def test_pickle_class_with_functions(self):
blah = SomethingToPickle()
assert blah.f2.container[blah.s].storage is blah.f1.container[blah.s].storage
try:
blah2 = copy.deepcopy(blah)
except NotImplementedError, e:
if e[0].startswith('DebugMode is not picklable'):
y = theano.shared(b)
f = theano.function([x], theano.tensor.dot(x, y))
from theano.compat import BytesIO
fp = BytesIO()
p = cPickle.Pickler(fp, 2)
p.persistent_id = pers_save
try:
p.dump(f)
except NotImplementedError, e:
if exc_message(e).startswith('DebugMode is not picklable'):
return
else:
raise
fp2 = BytesIO(fp.getvalue())
fp.close()
p = cPickle.Unpickler(fp2)
p.persistent_load = pers_load
f2 = p.load()
fp2.close()
def test_pickle_class_with_functions(self):
blah = SomethingToPickle()
assert blah.f2.container[blah.s].storage is blah.f1.container[blah.s].storage
try:
blah2 = copy.deepcopy(blah)
except NotImplementedError, e:
if e[0].startswith('DebugMode is not picklable'):