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 cases for cauchy distribution""" 16 17import pytest 18import numpy as np 19import mindspore.context as context 20import mindspore.nn as nn 21import mindspore.nn.probability.distribution as msd 22from mindspore import Tensor 23from mindspore import dtype as ms 24 25context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend") 26 27 28class CauchyMean(nn.Cell): 29 def __init__(self, loc, scale, seed=10, dtype=ms.float32, name='Cauchy'): 30 super().__init__() 31 self.b = msd.Cauchy(loc, scale, seed, dtype, name) 32 33 def construct(self): 34 out4 = self.b.entropy() 35 return out4 36 37 38 39@pytest.mark.level1 40@pytest.mark.platform_arm_ascend_training 41@pytest.mark.env_onecard 42def test_probability_cauchy_mean_loc_scale_rand_2_ndarray(): 43 loc = np.random.randn(1024, 512, 7, 7).astype(np.float32) 44 scale = np.random.uniform(0.0001, 100, size=(1024, 512, 7, 7)).astype(np.float32) 45 net = CauchyMean(loc, scale) 46 net() 47 48 49class CauchyProb(nn.Cell): 50 def __init__(self, loc, scale, seed=10, dtype=ms.float32, name='Cauchy'): 51 super().__init__() 52 self.b = msd.Cauchy(loc, scale, seed, dtype, name) 53 54 def construct(self, value): 55 out1 = self.b.prob(value) 56 out2 = self.b.log_prob(value) 57 out3 = self.b.cdf(value) 58 out4 = self.b.log_cdf(value) 59 out5 = self.b.survival_function(value) 60 out6 = self.b.log_survival(value) 61 return out1, out2, out3, out4, out5, out6 62 63 64@pytest.mark.level1 65@pytest.mark.platform_arm_ascend_training 66@pytest.mark.env_onecard 67def test_probability_cauchy_prob_cdf_loc_scale_rand_4_ndarray(): 68 loc = np.random.randn(1024, 512, 7, 7).astype(np.float32) 69 scale = np.random.uniform(0.0001, 100, size=(1024, 512, 7, 7)).astype(np.float32) 70 value = np.random.randn(1024, 512, 7, 7).astype(np.float32) 71 net = CauchyProb(loc, scale) 72 net(Tensor(value)) 73