forked from mindspore-Ecosystem/mindspore
67 lines
1.7 KiB
Python
67 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 numpy as np
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import mindspore as ms
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ms.set_context(mode=ms.GRAPH_MODE)
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def mul(x, y):
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return x * y
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def double(x):
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return mul(x, x)
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def test_cell_no_recursive():
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"""
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Feature: no_recursive
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Description: test no_recursive flag.
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Expectation: No exception.
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"""
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@ms.no_recursive
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class Net(ms.nn.Cell):
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def __init__(self):
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super().__init__()
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self.add = ms.ops.Add()
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def construct(self, x, y):
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return self.add(double(x), double(y))
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x = ms.Tensor(np.array([2.0], np.float32))
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y = ms.Tensor(np.array([3.0], np.float32))
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net = Net()
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print(net(x, y))
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@ms.jit
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@ms.no_recursive
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def func(x, y):
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res = double(x) + double(y)
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print(res)
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return res
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def test_ms_function_no_recursive():
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"""
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Feature: no_recursive
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Description: test no_recursive flag.
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Expectation: No exception.
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"""
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x = ms.Tensor(np.array([2.0], np.float32))
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y = ms.Tensor(np.array([3.0], np.float32))
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print(func(x, y))
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