75 lines
2.2 KiB
Python
75 lines
2.2 KiB
Python
# Copyright 2019 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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"""
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导入了MindSpore深度学习框架中的数据引擎模块
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用于数据预处理和数据增强等任务
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"""
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import mindspore._c_dataengine as cde
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"""
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创建一个张量形状并进行一些断言测试
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测试'cde.TensorShape()'函数的行为是否符合预期
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"""
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def test_shape():
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x = [2, 3]
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s = cde.TensorShape(x)
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assert s.as_list() == x
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assert s.is_known()
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"""
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使用NumPy和'cde'模块进行一些基本的数组操作
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并添加了更多的断言测试来验证结果
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"""
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def test_basic():
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x = np.array([1, 2, 3, 4, 5])
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n = cde.Tensor(x)
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arr = np.array(n, copy=False)
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arr[0] = 0
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x = np.array([0, 2, 3, 4, 5])
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np.testing.assert_array_equal(x, arr)
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assert n.type() == cde.DataType("int64")
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arr2 = n.as_array()
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arr[0] = 2
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x = np.array([2, 2, 3, 4, 5])
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np.testing.assert_array_equal(x, arr2)
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assert n.type() == cde.DataType("int64")
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assert arr.__array_interface__['data'] == arr2.__array_interface__['data']
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"""
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'test_strides()'函数对NumPy数组和'cde'模块中的张量进行了转换操作，并进行了断言测试
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测试结果可以帮助确保转换操作的过程没有产生错误
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"""
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def test_strides():
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x = np.array([[1, 2, 3], [4, 5, 6]])
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n1 = cde.Tensor(x[:, 1])
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arr = np.array(n1, copy=False)
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np.testing.assert_array_equal(x[:, 1], arr)
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n2 = cde.Tensor(x.transpose())
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arr = np.array(n2, copy=False)
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np.testing.assert_array_equal(x.transpose(), arr)
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if __name__ == '__main__':
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test_shape()
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test_strides()
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test_basic()
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