forked from mindspore-Ecosystem/mindspore
51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
# Copyright 2022 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 pytest
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import numpy as np
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import mindspore as ms
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from mindspore import jit
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from mindspore import Tensor, export, load, context
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from mindspore.nn import GraphCell
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@pytest.mark.level0
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@pytest.mark.platform_x86_cpu
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@pytest.mark.platform_arm_cpu
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_add_tensor():
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"""
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Feature: Test MindIR Export msfunction with decorator.
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Description: test msfunction export as mindir.
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Expectation: No exception, assert True.
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"""
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@jit
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def add_tensor(i):
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a = Tensor([9, 8, 5], ms.int32)
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return a + i
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context.set_context(mode=context.GRAPH_MODE)
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in_data = Tensor([2, 1, 1], ms.int32)
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expected_out = add_tensor(in_data)
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export(add_tensor, in_data, file_name="tt.mindir", file_format="MINDIR")
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c_graph = load("tt.mindir")
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c_net = GraphCell(c_graph)
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actual_out = c_net(in_data)
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assert np.array_equal(actual_out.asnumpy(), expected_out.asnumpy())
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