!4265 support two mstypes do equal.
Merge pull request !4265 from zhangbuxue/support_two_mstypes_do_equalpull/4265/MERGE
mindspore-ci-bot
5 years ago
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Gitee
commit
735fc98c78
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# 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 enumerate"""
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import numpy as np
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore import context
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from mindspore.common import dtype as mstype
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context.set_context(mode=context.GRAPH_MODE)
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def test_equal_two_const_mstype():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.type_base = mstype.float32
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self.type_0 = mstype.float32
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self.type_1 = mstype.float16
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self.type_2 = mstype.int32
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self.type_3 = mstype.tuple_
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def construct(self):
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ret_0 = self.type_0 == self.type_base
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ret_1 = self.type_1 == self.type_base
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ret_2 = self.type_2 == self.type_base
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ret_3 = self.type_3 == self.type_base
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return ret_0, ret_1, ret_2, ret_3
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net = Net()
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assert net() == (True, False, False, False)
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def test_equal_two_tensor_mstype():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def construct(self, x, y, z):
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ret_x = x.dtype == mstype.float32
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ret_y = y.dtype == mstype.int32
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ret_z = z.dtype == mstype.bool_
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ret_xy = x.dtype == y.dtype
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ret_xz = x.dtype == z.dtype
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ret_yz = y.dtype == z.dtype
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return ret_x, ret_y, ret_z, ret_xy, ret_xz, ret_yz
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net = Net()
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x = Tensor(np.arange(3 * 4 * 5).reshape((3, 4, 5)), mstype.float32)
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y = Tensor(np.arange(3 * 4 * 5).reshape((3, 4, 5)), mstype.int32)
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z = Tensor(np.arange(3 * 4 * 5).reshape((3, 4, 5)), mstype.bool_)
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assert net(x, y, z) == (True, True, True, False, False, False)
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