| # Copyright (C) 2020 Arm Limited or its affiliates. All rights reserved. |
| # |
| # SPDX-License-Identifier: Apache-2.0 |
| # |
| # Licensed under the Apache License, Version 2.0 (the License); you may |
| # not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # www.apache.org/licenses/LICENSE-2.0 |
| # |
| # 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. |
| # |
| # Description: |
| # Unit tests for tensor_allocator. |
| from ethosu import tensor_allocator |
| |
| |
| def test_allocate(): |
| """Tests the search allocator""" |
| # Create an input that requires a search to produce a perfect allocation. |
| # Should result in size 16016 |
| lrs = [(0, 100, 8000), (0, 1, 8016), (100, 110, 2000), (108, 110, 4000), (109, 110, 6000)] |
| input = [x for lr in lrs for x in lr] |
| res = tensor_allocator.allocate(input, 0) |
| assert len(res) == len(lrs) |
| assert max(addr + lr[2] for addr, lr in zip(res, lrs)) == 16016 |