wehub-resource-sync
129 lines
4.3 KiB
Python
129 lines
4.3 KiB
Python
# Copyright (c) 2023 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 unittest
|
|
|
|
import numpy as np
|
|
|
|
import paddle
|
|
|
|
paddle.enable_static()
|
|
|
|
|
|
class TestOperatorBase(unittest.TestCase):
|
|
def setUp(self):
|
|
self.shape = [4, 16]
|
|
|
|
def check_operator(self, operator_func, expected_out):
|
|
main_program = paddle.static.Program()
|
|
with paddle.static.program_guard(main_program):
|
|
x = paddle.ones(self.shape, dtype='float32') * 2
|
|
out = operator_func(x)
|
|
|
|
exe = paddle.static.Executor(paddle.CPUPlace())
|
|
res = exe.run(main_program, fetch_list=[out])
|
|
np.testing.assert_almost_equal(res[0], expected_out)
|
|
|
|
|
|
class TestOperator(TestOperatorBase):
|
|
def test_add(self):
|
|
operator_func = lambda x: x + x
|
|
expected_out = np.ones(self.shape, dtype='float32') * 4
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_sub(self):
|
|
operator_func = lambda x: x - x
|
|
expected_out = np.ones(self.shape, dtype='float32') * 0
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_mul(self):
|
|
operator_func = lambda x: x * x
|
|
expected_out = np.ones(self.shape, dtype='float32') * 4
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_div(self):
|
|
operator_func = lambda x: x / x
|
|
expected_out = np.ones(self.shape, dtype='float32') * 1
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
|
|
class TestOperatorWithScale(TestOperatorBase):
|
|
def test_add(self):
|
|
operator_func = lambda x: x + 1
|
|
expected_out = np.ones(self.shape, dtype='float32') * 3
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_sub(self):
|
|
operator_func = lambda x: x - 1.0
|
|
expected_out = np.ones(self.shape, dtype='float32')
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_mul(self):
|
|
operator_func = lambda x: x * 2
|
|
expected_out = np.ones(self.shape, dtype='float32') * 4
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_div(self):
|
|
operator_func = lambda x: x / 2.0
|
|
expected_out = np.ones(self.shape, dtype='float32') * 1
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
|
|
class TestCompareOperator(TestOperatorBase):
|
|
def test_lt(self):
|
|
operator_func = lambda x: x < x - 1
|
|
expected_out = np.zeros(self.shape, dtype='bool')
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_gt(self):
|
|
operator_func = lambda x: x > x - 1
|
|
expected_out = np.ones(self.shape, dtype='bool')
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_le(self):
|
|
operator_func = lambda x: x <= x
|
|
expected_out = np.ones(self.shape, dtype='bool')
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_ge(self):
|
|
operator_func = lambda x: x >= x + 1
|
|
expected_out = np.zeros(self.shape, dtype='bool')
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
|
|
class TestCompareOpWithFull(TestOperatorBase):
|
|
def test_lt(self):
|
|
operator_func = lambda x: x < 1
|
|
expected_out = np.zeros(self.shape, dtype='bool')
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_gt(self):
|
|
operator_func = lambda x: x > 1.0
|
|
expected_out = np.ones(self.shape, dtype='bool')
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_le(self):
|
|
operator_func = lambda x: x <= 2
|
|
expected_out = np.ones(self.shape, dtype='bool')
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
def test_ge(self):
|
|
operator_func = lambda x: x >= 3.0
|
|
expected_out = np.zeros(self.shape, dtype='bool')
|
|
self.check_operator(operator_func, expected_out)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|