71 lines
2.0 KiB
Python
71 lines
2.0 KiB
Python
# 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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import numpy as np
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import mindspore.context as context
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore.ops import operations as P
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
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class Net1(nn.Cell):
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def __init__(self):
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super(Net1, self).__init__()
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self.relu1 = P.ReLU()
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self.relu2 = P.ReLU()
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self.mul = P.Mul()
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self.depend = P.Depend()
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def construct(self, x, y):
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a = self.relu1(x)
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y = self.depend(y, a)
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b = self.relu2(y)
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c = self.mul(a, b)
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return c, a
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.relu1 = P.ReLU()
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self.relu2 = P.ReLU().set_device("CPU")
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self.mul = P.Mul()
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self.depend = P.Depend()
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def construct(self, x, y):
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a = self.relu1(x)
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y = self.depend(y, a)
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b = self.relu2(y)
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c = self.mul(a, b)
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return c, a
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def test_net():
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x = np.random.randn(2, 3, 3, 4).astype(np.float32)
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y = np.random.randn(2, 3, 3, 4).astype(np.float32)
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net1 = Net1()
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output1 = net1(Tensor(x), Tensor(y))
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net2 = Net2()
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output2 = net2(Tensor(x), Tensor(y))
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assert np.allclose(output1[0].asnumpy(), output2[0].asnumpy())
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print("##success##")
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if __name__ == "__main__":
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test_net()
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