1# Copyright 2024 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 16import pytest 17 18import mindspore as ms 19import mindspore.nn as nn 20import mindspore.ops as ops 21 22 23class Net(nn.Cell): 24 def __init__(self, size): 25 super().__init__() 26 self.cauchy = ops.Cauchy(size) 27 28 def construct(self): 29 return self.cauchy() 30 31@pytest.mark.level0 32@pytest.mark.platform_x86_cpu 33@pytest.mark.platform_arm_cpu 34@pytest.mark.platform_arm_ascend_training 35@pytest.mark.platform_x86_ascend_training 36@pytest.mark.env_onecard 37@pytest.mark.parametrize('mode', [ms.GRAPH_MODE, ms.PYNATIVE_MODE]) 38def test_cauchy(mode): 39 """ 40 Feature: Cauchy op 41 Description: Verify the result of cauchy 42 Expectation: success 43 """ 44 ms.set_context(mode=mode) 45 size = [2, 3] 46 net = Net(size) 47 out = net() 48 assert out.shape == tuple(size) 49