| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you 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 |
| # |
| # http://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. |
| """Test genetic algorithm tuner""" |
| |
| from tvm.testing.autotvm import DummyRunner, get_sample_task |
| from tvm import autotvm |
| |
| |
| def test_ga_tuner(): |
| """Test GATuner""" |
| # Test population size smaller than space size tuning configuration |
| task, _ = get_sample_task() |
| tuner = autotvm.tuner.GATuner(task, pop_size=32) |
| valid_indexes = list( |
| filter(lambda idx: tuner.space.is_index_valid(idx), range(tuner.space.range_length)) |
| ) |
| assert tuner.visited.issubset(valid_indexes) |
| assert tuner.pop_size == len(tuner.visited) == len(tuner.genes) |
| assert len(tuner.space) == 64 |
| |
| measure_option = autotvm.measure_option(builder=autotvm.LocalBuilder(), runner=DummyRunner()) |
| tuner.tune(n_trial=len(tuner.space), measure_option=measure_option) |
| assert tuner.visited.issubset(valid_indexes) |
| |
| # Test population size bigger than space size tuning configuration |
| task, _ = get_sample_task() |
| tuner = autotvm.tuner.GATuner(task, pop_size=100) |
| valid_indexes = list( |
| filter(lambda idx: tuner.space.is_index_valid(idx), range(tuner.space.range_length)) |
| ) |
| assert tuner.visited.issubset(valid_indexes) |
| assert tuner.pop_size == len(tuner.visited) == len(tuner.genes) |
| assert len(tuner.space) == 64 |
| |
| measure_option = autotvm.measure_option(builder=autotvm.LocalBuilder(), runner=DummyRunner()) |
| tuner.tune(n_trial=len(tuner.space), measure_option=measure_option) |
| assert tuner.visited.issubset(valid_indexes) |
| |
| # Test population size smaller than multi-filtered space size tuning configuration |
| task, _ = get_sample_task() |
| task.config_space.multi_filter( |
| filter=lambda entity: 8 <= (entity["tile_x"].size[1] * entity["tile_y"].size[1]) < 1024 |
| ) |
| tuner = autotvm.tuner.GATuner(task, pop_size=32) |
| valid_indexes = list( |
| filter(lambda idx: tuner.space.is_index_valid(idx), range(tuner.space.range_length)) |
| ) |
| assert tuner.visited.issubset(valid_indexes) |
| assert tuner.pop_size == len(tuner.visited) == len(tuner.genes) |
| assert len(tuner.space) == 43 |
| |
| measure_option = autotvm.measure_option(builder=autotvm.LocalBuilder(), runner=DummyRunner()) |
| tuner.tune(n_trial=len(tuner.space), measure_option=measure_option) |
| assert tuner.visited.issubset(valid_indexes) |
| |
| # Test population size bigger than multi-filtered space size tuning configuration |
| task, _ = get_sample_task() |
| task.config_space.multi_filter( |
| filter=lambda entity: 8 <= (entity["tile_x"].size[1] * entity["tile_y"].size[1]) < 1024 |
| ) |
| tuner = autotvm.tuner.GATuner(task, pop_size=100) |
| valid_indexes = list( |
| filter(lambda idx: tuner.space.is_index_valid(idx), range(tuner.space.range_length)) |
| ) |
| assert tuner.visited.issubset(valid_indexes) |
| assert tuner.pop_size == len(tuner.visited) == len(tuner.genes) |
| assert len(tuner.space) == 43 |
| |
| measure_option = autotvm.measure_option(builder=autotvm.LocalBuilder(), runner=DummyRunner()) |
| tuner.tune(n_trial=len(tuner.space), measure_option=measure_option) |
| assert tuner.visited.issubset(valid_indexes) |
| |
| |
| if __name__ == "__main__": |
| test_ga_tuner() |