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