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- # Copyright 2020 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 expand_as"""
- import mindspore as ms
- import mindspore.nn as nn
- import mindspore.common.initializer as init
- from mindspore import Tensor
- from mindspore import context
-
- context.set_context(mode=context.GRAPH_MODE)
-
-
- def test_expand_as():
- class Net(nn.Cell):
- def __init__(self):
- super(Net, self).__init__()
- self.t1 = Tensor([1, 2, 3])
- self.t2 = Tensor([[1, 1, 1], [1, 1, 1]])
-
- def construct(self):
- return self.t1.expand_as(self.t2)
-
- net = Net()
- net()
-
-
- def test_initializer_expand_as():
- class Net(nn.Cell):
- def __init__(self):
- super(Net, self).__init__()
- self.t1 = init.initializer('one', [1, 3], ms.float32)
- self.t2 = init.initializer('one', [2, 3], ms.float32)
-
- def construct(self):
- return self.t1.expand_as(self.t2)
-
- net = Net()
- net()
-
-
- def test_expand_as_parameter():
- class Net(nn.Cell):
- def __init__(self):
- super(Net, self).__init__()
- self.t1 = Tensor([1, 2, 3])
-
- def construct(self, x):
- return self.t1.expand_as(x)
-
- net = Net()
- net(Tensor([[1, 1, 1], [1, 1, 1]]))
-
-
- def test_expand_tensor_as_parameter_1():
- class Net(nn.Cell):
- def __init__(self):
- super(Net, self).__init__()
- self.t2 = Tensor([[1, 1, 1], [1, 1, 1]])
-
- def construct(self, x):
- return x.expand_as(self.t2)
-
- net = Net()
- net(Tensor([1, 2, 3]))
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