1# Copyright 2020-2021 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 16import numpy as np 17import pytest 18import mindspore.context as context 19from mindspore import Tensor 20from mindspore.nn import Cell 21import mindspore.ops.operations as P 22 23 24class Net(Cell): 25 def __init__(self): 26 super(Net, self).__init__() 27 self.add = P.Add() 28 self.mul = P.Mul() 29 30 def construct(self, x): 31 mul_res = self.mul(x, x) 32 square_res = P.Square()(x) 33 return self.add(mul_res, square_res) 34 35 36def test_basic(): 37 input_x = np.random.normal(0, 1, [2, 3, 4, 3]).astype(np.float32) 38 mul_res = input_x * input_x 39 square_res = np.square(input_x) 40 expect = mul_res + square_res 41 42 net = Net() 43 result = net(Tensor(input_x)) 44 45 res = np.allclose(expect, result.asnumpy(), rtol=1.e-4, atol=1.e-7, equal_nan=True) 46 assert res 47 48 49@pytest.mark.level0 50@pytest.mark.platform_x86_gpu_training 51@pytest.mark.env_onecard 52def test_basic_gpu(): 53 context.set_context(mode=context.GRAPH_MODE, enable_graph_kernel=True, device_target="GPU") 54 test_basic() 55 56 57@pytest.mark.level0 58@pytest.mark.platform_arm_ascend_training 59@pytest.mark.platform_x86_ascend_training 60@pytest.mark.env_onecard 61def test_basic_ascend(): 62 context.set_context(mode=context.GRAPH_MODE, enable_graph_kernel=True, device_target="Ascend") 63 test_basic() 64