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1# Copyright 2020 Huawei Technologies Co., Ltd
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ============================================================================
15import numpy as np
16
17import mindspore.context as context
18import mindspore.nn as nn
19from mindspore import Tensor
20from mindspore.ops import operations as P
21
22context.set_context(mode=context.GRAPH_MODE,
23                    device_target="Ascend")
24
25
26class EditDistance(nn.Cell):
27    def __init__(self, hypothesis_shape, truth_shape, normalize=True):
28        super(EditDistance, self).__init__()
29        self.edit_distance = P.EditDistance(normalize)
30        self.hypothesis_shape = hypothesis_shape
31        self.truth_shape = truth_shape
32
33    def construct(self, hypothesis_indices, hypothesis_values, truth_indices, truth_values):
34        return self.edit_distance(hypothesis_indices, hypothesis_values, self.hypothesis_shape,
35                                  truth_indices, truth_values, self.truth_shape)
36
37def test_edit_distance():
38    h1, h2, h3 = np.array([[0, 0, 0], [1, 0, 1], [1, 1, 1]]), np.array([1, 2, 3]), np.array([2, 2, 2])
39    t1, t2, t3 = np.array([[0, 1, 0], [0, 0, 1], [1, 1, 0], [1, 0, 1]]), np.array([1, 2, 3, 1]), np.array([2, 2, 2])
40    hypothesis_indices = Tensor(h1.astype(np.int64))
41    hypothesis_values = Tensor(h2.astype(np.int64))
42    hypothesis_shape = Tensor(h3.astype(np.int64))
43    truth_indices = Tensor(t1.astype(np.int64))
44    truth_values = Tensor(t2.astype(np.int64))
45    truth_shape = Tensor(t3.astype(np.int64))
46    edit_distance = EditDistance(hypothesis_shape, truth_shape)
47    out = edit_distance(hypothesis_indices, hypothesis_values, truth_indices, truth_values)
48    print(out)
49