| # Tencent is pleased to support the open source community by making ncnn available. | |
| # | |
| # Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved. | |
| # | |
| # Licensed under the BSD 3-Clause License (the "License"); you may not use this file except | |
| # in compliance with the License. You may obtain a copy of the License at | |
| # | |
| # https://opensource.org/licenses/BSD-3-Clause | |
| # | |
| # Unless required by applicable law or agreed to in writing, software distributed | |
| # under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR | |
| # CONDITIONS OF ANY KIND, either express or implied. See the License for the | |
| # specific language governing permissions and limitations under the License. | |
| import pytest | |
| import ncnn | |
| def test_blob(): | |
| blob = ncnn.Blob() | |
| blob.name = "myblob" | |
| assert blob.name == "myblob" | |
| blob.producer = 0 | |
| assert blob.producer == 0 | |
| blob.consumer = 0 | |
| assert blob.consumer == 0 | |
| blob.shape = ncnn.Mat(1) | |
| assert blob.shape.dims == 1 and blob.shape.w == 1 | |