def test_name(self):
with fluid.program_guard(fluid.Program()):
x = fluid.data(name="x", shape=[2, 3], dtype="float32")
y = fluid.data(name='y', shape=[2, 3], dtype='float32')
y_1 = paddle.div(x, y, name='div_res')
self.assertEqual(('div_res' in y_1.name), True)
def test_dygraph(self):
with fluid.dygraph.guard():
np_x = np.array([2, 3, 4]).astype('float64')
np_y = np.array([1, 5, 2]).astype('float64')
x = fluid.dygraph.to_variable(np_x)
y = fluid.dygraph.to_variable(np_y)
z = paddle.div(x, y)
np_z = z.numpy()
z_expected = np.array([2., 0.6, 2.])
self.assertEqual((np_z == z_expected).all(), True)
def test_out(self):
with fluid.program_guard(fluid.Program()):
x = fluid.data(name="x", shape=[3], dtype="float32")
y = fluid.data(name='y', shape=[3], dtype='float32')
res = fluid.data(name="output", shape=[3], dtype="float32")
y_1 = paddle.div(x, y, out=res)
place = fluid.CPUPlace()
exe = fluid.Executor(place)
data1 = np.array([2, 3, 4], dtype='float32')
data2 = np.array([1, 5, 2], dtype='float32')
np_res, np_y_1 = exe.run(feed={'x': data1,
'y': data2},
fetch_list=[res, y_1])
self.assertEqual((np_res == np_y_1).all(), True)
def l2_norm(input, axis=1):
norm = paddle.norm(input, 2, axis, True)
output = paddle.div(input, norm)
return output