def test_interface(self):
mySymbolicMatricesList = TypedListType(T.TensorType(theano.config.floatX, (False, False)))()
myMatrix = T.matrix()
myScalar = T.scalar(dtype="int64")
z = mySymbolicMatricesList.insert(myScalar, myMatrix)
f = theano.function([mySymbolicMatricesList, myScalar, 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], numpy.asarray(1, dtype="int64"), y), [x, y]))
def test_interface(self):
mySymbolicMatricesList = TypedListType(
T.TensorType(theano.config.floatX, (False, False)))()
myMatrix = T.matrix()
myScalar = T.scalar(dtype="int64")
z = mySymbolicMatricesList.insert(myScalar, myMatrix)
f = theano.function([mySymbolicMatricesList, myScalar, myMatrix], z)
x = rand_ranged_matrix(-1000, 1000, [100, 101])
y = rand_ranged_matrix(-1000, 1000, [100, 101])
assert np.array_equal(f([x], np.asarray(1, dtype="int64"), y), [x, y])
