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101 lines
2.5 KiB
101 lines
2.5 KiB
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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""" test mod"""
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import mindspore.nn as nn
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from mindspore import context
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context.set_context(mode=context.GRAPH_MODE)
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def test_positive_mod_positive():
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class Mod(nn.Cell):
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def __init__(self, x, y):
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super(Mod, self).__init__()
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self.x = x
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self.y = y
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def construct(self):
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return self.x % self.y
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x = 3.0
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y = 1.3
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mod_net = Mod(x, y)
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expect = x % y
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assert abs(mod_net() - expect) < 0.000001
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def test_positive_mod_negative():
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class Mod(nn.Cell):
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def __init__(self, x, y):
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super(Mod, self).__init__()
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self.x = x
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self.y = y
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def construct(self):
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return self.x % self.y
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x = 3.0
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y = -1.3
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mod_net = Mod(x, y)
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expect = x % y
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assert abs(mod_net() - expect) < 0.000001
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def test_negative_mod_positive():
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class Mod(nn.Cell):
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def __init__(self, x, y):
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super(Mod, self).__init__()
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self.x = x
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self.y = y
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def construct(self):
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return self.x % self.y
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x = -3.0
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y = 1.3
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mod_net = Mod(x, y)
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expect = x % y
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assert abs(mod_net() - expect) < 0.000001
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def test_negative_mod_negative():
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class Mod(nn.Cell):
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def __init__(self, x, y):
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super(Mod, self).__init__()
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self.x = x
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self.y = y
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def construct(self):
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return self.x % self.y
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x = -3.0
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y = -1.3
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mod_net = Mod(x, y)
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expect = x % y
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assert abs(mod_net() - expect) < 0.000001
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def test_int_mod_int():
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class Mod(nn.Cell):
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def __init__(self, x, y):
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super(Mod, self).__init__()
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self.x = x
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self.y = y
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def construct(self):
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return self.x % self.y
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x = 3
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y = 2
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mod_net = Mod(x, y)
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expect = x % y
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assert abs(mod_net() - expect) < 0.000001
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