def test_api_case(self):
paddle.enable_static()
x_data = np.random.rand(10, 10)
y_data = np.random.rand(10, 10)
places = [paddle.fluid.CPUPlace()]
if paddle.fluid.core.is_compiled_with_cuda():
places.append(paddle.fluid.CUDAPlace(0))
for place in places:
with paddle.static.program_guard(paddle.static.Program(),
paddle.static.Program()):
x = paddle.fluid.data(name='x',
shape=[10, 10],
dtype='float64')
y = paddle.fluid.data(name='y',
shape=[10, 10],
dtype='float64')
result = paddle.isclose(x, y)
exe = paddle.fluid.Executor(place)
fetches = exe.run(paddle.fluid.default_main_program(),
feed={
"x": x_data,
"y": y_data
},
fetch_list=[result])
expected_out = np.isclose(x_data, y_data)
self.assertTrue((fetches[0] == expected_out).all(), True)
def test_y_dtype():
with paddle.static.program_guard(paddle.static.Program(),
paddle.static.Program()):
x = paddle.fluid.data(name='x',
shape=[10, 10],
dtype='float64')
y = paddle.fluid.data(name='y', shape=[10, 10], dtype='int32')
result = paddle.isclose(x, y)
def test_api_case(self):
places = [paddle.CPUPlace()]
if paddle.fluid.core.is_compiled_with_cuda():
places.append(paddle.CUDAPlace(0))
for place in places:
paddle.disable_static()
x_data = np.random.rand(10, 10)
y_data = np.random.rand(10, 10)
x = paddle.to_tensor(x_data, place=place)
y = paddle.to_tensor(y_data, place=place)
out = paddle.isclose(x, y, rtol=1e-05, atol=1e-08)
expected_out = np.isclose(x_data, y_data, rtol=1e-05, atol=1e-08)
self.assertTrue((out.numpy() == expected_out).all(), True)
paddle.enable_static()
def test_equal_nan():
result = paddle.isclose(x, y, equal_nan=1)
def test_atol():
result = paddle.isclose(x, y, rtol=True)
