1# Copyright 2021 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# ============================================================================ 15# """test_dice""" 16import math 17import numpy as np 18import pytest 19from mindspore import Tensor 20from mindspore.nn.metrics import get_metric_fn, Dice 21 22 23def test_classification_dice(): 24 """test_dice""" 25 x = Tensor(np.array([[0.2, 0.5], [0.3, 0.1], [0.9, 0.6]])) 26 y = Tensor(np.array([[0, 1], [1, 0], [0, 1]])) 27 metric = get_metric_fn('dice') 28 metric.clear() 29 metric.update(x, y) 30 dice = metric.eval() 31 32 assert math.isclose(dice, 0.20467791371802546, abs_tol=0.001) 33 34 35def test_dice_update1(): 36 x = Tensor(np.array([[0.2, 0.5, 0.7], [0.3, 0.1, 0.2], [0.9, 0.6, 0.5]])) 37 metric = Dice(1e-5) 38 metric.clear() 39 40 with pytest.raises(ValueError): 41 metric.update(x) 42 43 44def test_dice_runtime(): 45 metric = Dice(1e-5) 46 metric.clear() 47 48 with pytest.raises(RuntimeError): 49 metric.eval() 50