You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
141 lines
5.2 KiB
141 lines
5.2 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import paddle
|
|
import paddle.fluid as fluid
|
|
import unittest
|
|
import numpy as np
|
|
|
|
|
|
class TestAllcloseLayer(unittest.TestCase):
|
|
def allclose_check(self, use_cuda):
|
|
a = fluid.data(name="a", shape=[2], dtype='float32')
|
|
b = fluid.data(name="b", shape=[2], dtype='float32')
|
|
|
|
result = paddle.allclose(
|
|
a, b, rtol=1e-05, atol=1e-08, equal_nan=False, name="ignore_nan")
|
|
result_nan = paddle.allclose(
|
|
a, b, rtol=1e-05, atol=1e-08, equal_nan=True, name="equal_nan")
|
|
|
|
place = fluid.CUDAPlace(0) if use_cuda else fluid.CPUPlace()
|
|
exe = fluid.Executor(place)
|
|
exe.run(fluid.default_startup_program())
|
|
|
|
x = np.array([10000., 1e-07]).astype("float32")
|
|
y = np.array([10000.1, 1e-08]).astype("float32")
|
|
result_v, result_nan_v = exe.run(feed={'a': x,
|
|
'b': y},
|
|
fetch_list=[result, result_nan])
|
|
self.assertEqual(result_v[0], False)
|
|
self.assertEqual(result_nan_v[0], False)
|
|
|
|
x = np.array([10000., 1e-08]).astype("float32")
|
|
y = np.array([10000.1, 1e-09]).astype("float32")
|
|
result_v, result_nan_v = exe.run(feed={'a': x,
|
|
'b': y},
|
|
fetch_list=[result, result_nan])
|
|
self.assertEqual(result_v[0], True)
|
|
self.assertEqual(result_nan_v[0], True)
|
|
|
|
x = np.array([1.0, float('nan')]).astype("float32")
|
|
y = np.array([1.0, float('nan')]).astype("float32")
|
|
result_v, result_nan_v = exe.run(feed={'a': x,
|
|
'b': y},
|
|
fetch_list=[result, result_nan])
|
|
self.assertEqual(result_v[0], False)
|
|
self.assertEqual(result_nan_v[0], True)
|
|
|
|
def test_allclose_cpu(self):
|
|
main = fluid.Program()
|
|
startup = fluid.Program()
|
|
with fluid.unique_name.guard():
|
|
with fluid.program_guard(main, startup):
|
|
self.allclose_check(use_cuda=False)
|
|
|
|
def test_allclose_gpu(self):
|
|
if fluid.core.is_compiled_with_cuda():
|
|
main = fluid.Program()
|
|
startup = fluid.Program()
|
|
with fluid.unique_name.guard():
|
|
with fluid.program_guard(main, startup):
|
|
self.allclose_check(use_cuda=True)
|
|
|
|
def test_dygraph_mode(self):
|
|
x_1 = np.array([10000., 1e-07]).astype("float32")
|
|
y_1 = np.array([10000.1, 1e-08]).astype("float32")
|
|
x_2 = np.array([10000., 1e-08]).astype("float32")
|
|
y_2 = np.array([10000.1, 1e-09]).astype("float32")
|
|
x_3 = np.array([1.0, float('nan')]).astype("float32")
|
|
y_3 = np.array([1.0, float('nan')]).astype("float32")
|
|
|
|
with fluid.dygraph.guard():
|
|
x_v_1 = fluid.dygraph.to_variable(x_1)
|
|
y_v_1 = fluid.dygraph.to_variable(y_1)
|
|
ret_1 = paddle.allclose(
|
|
x_v_1,
|
|
y_v_1,
|
|
rtol=1e-05,
|
|
atol=1e-08,
|
|
equal_nan=False,
|
|
name='test_1')
|
|
self.assertEqual(ret_1.numpy()[0], False)
|
|
ret_1 = paddle.allclose(
|
|
x_v_1,
|
|
y_v_1,
|
|
rtol=1e-05,
|
|
atol=1e-08,
|
|
equal_nan=True,
|
|
name='test_2')
|
|
self.assertEqual(ret_1.numpy()[0], False)
|
|
x_v_2 = fluid.dygraph.to_variable(x_2)
|
|
y_v_2 = fluid.dygraph.to_variable(y_2)
|
|
ret_2 = paddle.allclose(
|
|
x_v_2,
|
|
y_v_2,
|
|
rtol=1e-05,
|
|
atol=1e-08,
|
|
equal_nan=False,
|
|
name='test_3')
|
|
self.assertEqual(ret_2.numpy()[0], True)
|
|
ret_2 = paddle.allclose(
|
|
x_v_2,
|
|
y_v_2,
|
|
rtol=1e-05,
|
|
atol=1e-08,
|
|
equal_nan=True,
|
|
name='test_4')
|
|
self.assertEqual(ret_2.numpy()[0], True)
|
|
x_v_3 = fluid.dygraph.to_variable(x_3)
|
|
y_v_3 = fluid.dygraph.to_variable(y_3)
|
|
ret_3 = paddle.allclose(
|
|
x_v_3,
|
|
y_v_3,
|
|
rtol=1e-05,
|
|
atol=1e-08,
|
|
equal_nan=False,
|
|
name='test_5')
|
|
self.assertEqual(ret_3.numpy()[0], False)
|
|
ret_3 = paddle.allclose(
|
|
x_v_3,
|
|
y_v_3,
|
|
rtol=1e-05,
|
|
atol=1e-08,
|
|
equal_nan=True,
|
|
name='test_6')
|
|
self.assertEqual(ret_3.numpy()[0], True)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|