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 gamma 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 dtype as ms 23 24context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend") 25 26 27class GammaMean(nn.Cell): 28 def __init__(self, concentration, rate, seed=10, dtype=ms.float32, name='Gamma'): 29 super().__init__() 30 self.b = msd.Gamma(concentration, rate, seed, dtype, name) 31 32 def construct(self): 33 out1 = self.b.mean() 34 out2 = self.b.mode() 35 out3 = self.b.var() 36 out4 = self.b.entropy() 37 out5 = self.b.sd() 38 return out1, out2, out3, out4, out5 39 40 41 42@pytest.mark.level1 43@pytest.mark.platform_arm_ascend_training 44@pytest.mark.env_onecard 45def test_probability_gamma_mean_cdoncentration_rate_rand_2_ndarray(): 46 concentration = np.random.uniform(0.0001, 100, size=(1024, 512, 7, 7)).astype(np.float32) 47 rate = np.random.uniform(0.0001, 100, size=(1024, 512, 7, 7)).astype(np.float32) 48 net = GammaMean(concentration, rate) 49 net() 50