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49 lines
2.1 KiB
49 lines
2.1 KiB
# Copyright 2020 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.context as context
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore.ops import operations as P
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context.set_context(mode=context.GRAPH_MODE,
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device_target="Ascend")
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class EditDistance(nn.Cell):
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def __init__(self, hypothesis_shape, truth_shape, normalize=True):
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super(EditDistance, self).__init__()
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self.edit_distance = P.EditDistance(normalize)
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self.hypothesis_shape = hypothesis_shape
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self.truth_shape = truth_shape
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def construct(self, hypothesis_indices, hypothesis_values, truth_indices, truth_values):
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return self.edit_distance(hypothesis_indices, hypothesis_values, self.hypothesis_shape,
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truth_indices, truth_values, self.truth_shape)
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def test_edit_distance():
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h1, h2, h3 = np.array([[0, 0, 0], [1, 0, 1], [1, 1, 1]]), np.array([1, 2, 3]), np.array([2, 2, 2])
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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])
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hypothesis_indices = Tensor(h1.astype(np.int64))
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hypothesis_values = Tensor(h2.astype(np.int64))
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hypothesis_shape = Tensor(h3.astype(np.int64))
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truth_indices = Tensor(t1.astype(np.int64))
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truth_values = Tensor(t2.astype(np.int64))
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truth_shape = Tensor(t3.astype(np.int64))
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edit_distance = EditDistance(hypothesis_shape, truth_shape)
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out = edit_distance(hypothesis_indices, hypothesis_values, truth_indices, truth_values)
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print(out)
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