forked from mindspore-Ecosystem/mindspore
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
# Copyright 2021 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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"""Export net test."""
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import os
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import numpy as np
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import pytest
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import mindspore as ms
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import mindspore.nn as nn
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from mindspore import context
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from mindspore.common.tensor import Tensor
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from mindspore.train.serialization import export
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class SliceNet(nn.Cell):
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def __init__(self):
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super().__init__()
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self.relu = nn.ReLU()
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def construct(self, x, y):
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x = self.relu(x)
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x[2,] = y
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return x
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@pytest.mark.level1
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.env_onecard
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def test_export_slice_net():
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
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input_x = Tensor(np.random.rand(4, 4, 4), ms.float32)
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input_y = Tensor(np.array([1]), ms.float32)
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net = SliceNet()
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file_name = "slice_net"
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export(net, input_x, input_y, file_name=file_name, file_format='AIR')
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verify_name = file_name + ".air"
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assert os.path.exists(verify_name)
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os.remove(verify_name)
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export(net, input_x, input_y, file_name=file_name, file_format='MINDIR')
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verify_name = file_name + ".mindir"
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assert os.path.exists(verify_name)
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os.remove(verify_name)
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