def test_sanity_check(self):
mySymbolicMatricesList = TypedListType(
T.TensorType(theano.config.floatX, (False, False)))()
myMatrix = T.matrix()
z = Append()(mySymbolicMatricesList, myMatrix)
f = theano.function([mySymbolicMatricesList, myMatrix], z)
x = rand_ranged_matrix(-1000, 1000, [100, 101])
y = rand_ranged_matrix(-1000, 1000, [100, 101])
self.assertTrue(numpy.array_equal(f([x], y), [x, y]))
def test_inplace(self):
mySymbolicMatricesList = TypedListType(
tt.TensorType(theano.config.floatX, (False, False))
)()
myMatrix = tt.matrix()
z = Append(True)(mySymbolicMatricesList, myMatrix)
f = theano.function([mySymbolicMatricesList, myMatrix], z, accept_inplace=True)
x = rand_ranged_matrix(-1000, 1000, [100, 101])
y = rand_ranged_matrix(-1000, 1000, [100, 101])
assert np.array_equal(f([x], y), [x, y])
def test_append_inplace(self):
mySymbolicMatricesList = TypedListType(T.TensorType(
theano.config.floatX, (False, False)))()
mySymbolicMatrix = T.matrix()
z = Append()(mySymbolicMatricesList, mySymbolicMatrix)
m = theano.compile.mode.get_default_mode().including("typed_list_inplace_opt")
f = theano.function([In(mySymbolicMatricesList, borrow=True,
mutable=True),
In(mySymbolicMatrix, borrow=True,
mutable=True)], z, accept_inplace=True, mode=m)
self.assertTrue(f.maker.fgraph.toposort()[0].op.inplace)
x = rand_ranged_matrix(-1000, 1000, [100, 101])
y = rand_ranged_matrix(-1000, 1000, [100, 101])
self.assertTrue(numpy.array_equal(f([x], y), [x, y]))
