wehub-resource-sync
139 lines
4.6 KiB
Python
139 lines
4.6 KiB
Python
# 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 unittest
|
|
|
|
import numpy as np
|
|
import op_test
|
|
|
|
import paddle
|
|
|
|
|
|
def create_test_not_equal_class(op_type, typename, callback):
|
|
class Cls(op_test.OpTest):
|
|
def setUp(self):
|
|
x = np.random.random(size=(10, 7)).astype(typename)
|
|
y = np.random.random(size=(10, 7)).astype(typename)
|
|
z = callback(x, y)
|
|
self.python_api = paddle.tensor.equal_all
|
|
self.inputs = {'X': x, 'Y': y}
|
|
self.outputs = {'Out': z}
|
|
self.op_type = op_type
|
|
|
|
def test_output(self):
|
|
self.check_output(check_pir=True)
|
|
|
|
cls_name = "{}_{}_{}".format(op_type, typename, 'not_equal_all')
|
|
Cls.__name__ = cls_name
|
|
globals()[cls_name] = Cls
|
|
|
|
|
|
def create_test_not_shape_equal_class(op_type, typename, callback):
|
|
class Cls(op_test.OpTest):
|
|
def setUp(self):
|
|
x = np.random.random(size=(10, 7)).astype(typename)
|
|
y = np.random.random(size=(10)).astype(typename)
|
|
z = callback(x, y)
|
|
self.python_api = paddle.tensor.equal_all
|
|
self.inputs = {'X': x, 'Y': y}
|
|
self.outputs = {'Out': z}
|
|
self.op_type = op_type
|
|
|
|
def test_output(self):
|
|
self.check_output(check_pir=True)
|
|
|
|
cls_name = "{}_{}_{}".format(op_type, typename, 'not_shape_equal_all')
|
|
Cls.__name__ = cls_name
|
|
globals()[cls_name] = Cls
|
|
|
|
|
|
def create_test_equal_class(op_type, typename, callback):
|
|
class Cls(op_test.OpTest):
|
|
def setUp(self):
|
|
x = y = np.random.random(size=(10, 7)).astype(typename)
|
|
z = callback(x, y)
|
|
self.python_api = paddle.tensor.equal_all
|
|
self.inputs = {'X': x, 'Y': y}
|
|
self.outputs = {'Out': z}
|
|
self.op_type = op_type
|
|
|
|
def test_output(self):
|
|
self.check_output(check_pir=True)
|
|
|
|
cls_name = "{}_{}_{}".format(op_type, typename, 'equal_all')
|
|
Cls.__name__ = cls_name
|
|
globals()[cls_name] = Cls
|
|
|
|
|
|
def create_test_dim1_class(op_type, typename, callback):
|
|
class Cls(op_test.OpTest):
|
|
def setUp(self):
|
|
x = y = np.random.random(size=(1)).astype(typename)
|
|
x = np.array([True, False, True]).astype(typename)
|
|
x = np.array([False, False, True]).astype(typename)
|
|
z = callback(x, y)
|
|
self.python_api = paddle.tensor.equal_all
|
|
self.inputs = {'X': x, 'Y': y}
|
|
self.outputs = {'Out': z}
|
|
self.op_type = op_type
|
|
|
|
def test_output(self):
|
|
self.check_output(check_pir=True)
|
|
|
|
cls_name = "{}_{}_{}".format(op_type, typename, 'equal_all')
|
|
Cls.__name__ = cls_name
|
|
globals()[cls_name] = Cls
|
|
|
|
|
|
def create_test_equal_class_zero_size(op_type, typename, callback):
|
|
class Cls(op_test.OpTest):
|
|
def setUp(self):
|
|
x = np.random.random(size=(0, 7)).astype(typename)
|
|
y = np.random.random(size=(0, 7)).astype(typename)
|
|
z = callback(x, y)
|
|
self.python_api = paddle.tensor.equal_all
|
|
self.inputs = {'X': x, 'Y': y}
|
|
self.outputs = {'Out': z}
|
|
self.op_type = op_type
|
|
|
|
def test_output(self):
|
|
self.check_output(check_pir=True)
|
|
|
|
cls_name = "{}_{}_{}".format(op_type, typename, 'equal_all_zero_size')
|
|
Cls.__name__ = cls_name
|
|
globals()[cls_name] = Cls
|
|
|
|
|
|
np_equal = lambda _x, _y: np.array(np.array_equal(_x, _y))
|
|
|
|
for _type_name in {'float32', 'float64', 'int32', 'int64', 'bool'}:
|
|
create_test_not_equal_class('equal_all', _type_name, np_equal)
|
|
create_test_equal_class('equal_all', _type_name, np_equal)
|
|
create_test_dim1_class('equal_all', _type_name, np_equal)
|
|
create_test_equal_class_zero_size('equal_all', _type_name, np_equal)
|
|
|
|
|
|
class TestEqualReduceAPI(unittest.TestCase):
|
|
def test_dynamic_api(self):
|
|
paddle.disable_static()
|
|
x = paddle.ones(shape=[10, 10], dtype="int32")
|
|
y = paddle.ones(shape=[10, 10], dtype="int32")
|
|
out = paddle.equal_all(x, y)
|
|
assert out.item() is True
|
|
paddle.enable_static()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|