718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
# Tencent is pleased to support the open source community by making ncnn available.
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#
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# Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
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#
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# Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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# in compliance with the License. You may obtain a copy of the License at
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#
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# https://opensource.org/licenses/BSD-3-Clause
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#
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# Unless required by applicable law or agreed to in writing, software distributed
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# under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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# CONDITIONS OF ANY KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations under the License.
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import pytest
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import ncnn
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def test_pool_allocator():
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pa = ncnn.PoolAllocator()
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assert pa is not None
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pa.set_size_compare_ratio(0.5)
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buf = pa.fastMalloc(10 * 1024)
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assert buf is not None
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pa.fastFree(buf)
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pa.clear()
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def test_unlocked_pool_allocator():
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upa = ncnn.UnlockedPoolAllocator()
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assert upa is not None
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upa.set_size_compare_ratio(0.5)
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buf = upa.fastMalloc(10 * 1024)
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assert buf is not None
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upa.fastFree(buf)
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upa.clear()
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