1# Copyright 2022 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, kernel_size=1, stride=1, pad_mode="valid", padding=0, ceil_mode=False, count_include_pad=True, 25 divisor_override=None): 26 super(Net, self).__init__() 27 self.pool = nn.AvgPool3d(kernel_size=kernel_size, stride=stride, pad_mode=pad_mode, padding=padding, 28 ceil_mode=ceil_mode, count_include_pad=count_include_pad, 29 divisor_override=divisor_override) 30 31 def construct(self, x): 32 out = self.pool(x) 33 return out 34 35 36@pytest.mark.level2 37@pytest.mark.platform_x86_gpu_training 38@pytest.mark.platform_x86_cpu 39@pytest.mark.platform_arm_cpu 40@pytest.mark.env_onecard 41@pytest.mark.parametrize('mode', [ms.GRAPH_MODE, ms.PYNATIVE_MODE]) 42def test_avgpool3d_normal(mode): 43 """ 44 Feature: AvgPool3d 45 Description: Verify the result of AvgPool3d 46 Expectation: success 47 """ 48 ms.set_context(mode=mode) 49 x1 = ops.randn(1, 2, 4, 4, 5).astype(ms.float32) 50 pool1 = Net(kernel_size=3, stride=1) 51 output1 = pool1(x1) 52 53 x2 = ops.randn(6, 5, 7, 7, 5).astype(ms.float32) 54 pool2 = Net(kernel_size=4, stride=2, pad_mode='pad', padding=(2, 2, 1), divisor_override=10) 55 output2 = pool2(x2) 56 57 assert output1.shape == (1, 2, 2, 2, 3) 58 assert output2.shape == (6, 5, 4, 4, 2) 59