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41 lines
1.3 KiB
41 lines
1.3 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 case."""
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import numpy as np
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import mindspore
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import mindspore.nn as nn
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from mindspore import Tensor, context
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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.conv1 = nn.Conv2d(1, 3, 3)
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self.conv2 = nn.Conv2d(1, 3, 5, has_bias=True)
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self.layers = (self.conv1, self.conv2)
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def construct(self, x, index):
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x = self.layers[index](x)
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return 2 + x
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def test_case():
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context.set_context(mode=context.GRAPH_MODE, save_graphs=True)
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net = Net()
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data = Tensor(np.ones((1, 1, 224, 224)), mindspore.float32)
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idx = Tensor(1, mindspore.int32)
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net(data, idx)
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