mindspore/tests/syntax/simple_expression/test_logic_or.py

137 lines
3.2 KiB
Python

# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================
""" test syntax for logic expression """
import numpy as np
import mindspore.nn as nn
from mindspore import context
from mindspore.common.tensor import Tensor
context.set_context(mode=context.GRAPH_MODE)
class LogicOr(nn.Cell):
def __init__(self):
super(LogicOr, self).__init__()
self.m = 1
def construct(self, x, y):
or_v = x or y
return or_v
class LogicOrSpec(nn.Cell):
def __init__(self, x, y):
super(LogicOrSpec, self).__init__()
self.x = x
self.y = y
def construct(self, x, y):
or_v = self.x or self.y
return or_v
def test_ms_syntax_operator_logic_int_or_int():
net = LogicOr()
ret = net(1, 2)
print(ret)
def test_ms_syntax_operator_logic_float_or_float():
net = LogicOr()
ret = net(1.89, 1.99)
print(ret)
def test_ms_syntax_operator_logic_float_or_int():
net = LogicOr()
ret = net(1.89, 1)
print(ret)
def test_ms_syntax_operator_logic_tensor_1_int_or_tensor_1_int():
net = LogicOr()
x = Tensor(np.ones([1], np.int32))
y = Tensor(np.zeros([1], np.int32))
ret = net(x, y)
print(ret)
def test_ms_syntax_operator_logic_tensor_1_float_or_tensor_1_int():
net = LogicOr()
x = Tensor(np.ones([1], np.float))
y = Tensor(np.zeros([1], np.int32))
ret = net(x, y)
print(ret)
def test_ms_syntax_operator_logic_tensor_2X2_int_or_tensor_2X2_int():
net = LogicOr()
x = Tensor(np.ones([2, 2], np.int32))
y = Tensor(np.zeros([2, 2], np.int32))
ret = net(x, y)
print(ret)
def test_ms_syntax_operator_logic_int_or_str():
net = LogicOr()
ret = net(1, "cba")
print(ret)
def test_ms_syntax_operator_logic_int_or_str_2():
net = LogicOrSpec(1, "cba")
ret = net(1, 2)
print(ret)
def test_ms_syntax_operator_logic_str_or_str():
net = LogicOrSpec("abc", "cba")
ret = net(1, 2)
print(ret)
def test_ms_syntax_operator_logic_list_int_or_list_int():
net = LogicOr()
ret = net([1, 2, 3], [3, 2, 1])
print(ret)
def test_ms_syntax_operator_logic_list_int_or_int():
net = LogicOr()
ret = net([1, 2, 3], 1)
print(ret)
def test_ms_syntax_operator_logic_list_int_or_str():
net = LogicOrSpec([1, 2, 3], "aaa")
ret = net(1, 2)
print(ret)
def test_ms_syntax_operator_logic_list_int_or_list_str():
net = LogicOrSpec([1, 2, 3], ["1", "2", "3"])
ret = net(1, 2)
print(ret)
def test_ms_syntax_operator_logic_list_int_or_list_str_var():
left = [1, 2, 3]
right = ["1", "2", "3"]
net = LogicOrSpec(left, right)
ret = net(1, 2)
print(ret)