# Copyright 2022 Huawei Technologies Co., Ltd # # 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 # # 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 foNtest_resr the specific language governing permissions and # limitations under the License. # ============================================================================== """ Test Gtzan dataset operators. """ import numpy as np import pytest import mindspore.dataset as ds from mindspore import log as logger DATA_DIR = "../data/dataset/testGTZANData" def test_gtzan_basic(): """ Feature: GTZANDataset Description: test basic usage of GTZAN Expectation: the dataset is as expected """ logger.info("Test GTZANDataset Op") # case 1: test loading whole dataset. data1 = ds.GTZANDataset(DATA_DIR) num_iter1 = 0 for _ in data1.create_dict_iterator(output_numpy=True, num_epochs=1): num_iter1 += 1 assert num_iter1 == 3 # case 2: test num_samples. data2 = ds.GTZANDataset(DATA_DIR, num_samples=2) num_iter2 = 0 for _ in data2.create_dict_iterator(output_numpy=True, num_epochs=1): num_iter2 += 1 assert num_iter2 == 2 # case 3: test repeat. data3 = ds.GTZANDataset(DATA_DIR, num_samples=2) data3 = data3.repeat(5) num_iter3 = 0 for _ in data3.create_dict_iterator(output_numpy=True, num_epochs=1): num_iter3 += 1 assert num_iter3 == 10 # case 4: test batch with drop_remainder=False. data4 = ds.GTZANDataset(DATA_DIR, num_samples=3) assert data4.get_dataset_size() == 3 assert data4.get_batch_size() == 1 data4 = data4.batch(batch_size=2) # drop_remainder is default to be False. assert data4.get_dataset_size() == 2 assert data4.get_batch_size() == 2 # case 5: test batch with drop_remainder=True. data5 = ds.GTZANDataset(DATA_DIR, num_samples=3) assert data5.get_dataset_size() == 3 assert data5.get_batch_size() == 1 # the rest of incomplete batch will be dropped. data5 = data5.batch(batch_size=2, drop_remainder=True) assert data5.get_dataset_size() == 1 assert data5.get_batch_size() == 2 def test_gtzan_distribute_sampler(): """ Feature: GTZANDataset Description: test GTZAN dataset with DistributedSampler Expectation: the results are as expected """ logger.info("Test GTZAN with DistributedSampler") label_list1, label_list2 = [], [] num_shards = 3 shard_id = 0 data1 = ds.GTZANDataset(DATA_DIR, usage="all", num_shards=num_shards, shard_id=shard_id) count = 0 for item1 in data1.create_dict_iterator(output_numpy=True, num_epochs=1): label_list1.append(item1["label"]) count = count + 1 assert count == 1 num_shards = 3 shard_id = 0 sampler = ds.DistributedSampler(num_shards, shard_id) data2 = ds.GTZANDataset(DATA_DIR, usage="all", sampler=sampler) count = 0 for item2 in data2.create_dict_iterator(output_numpy=True, num_epochs=1): label_list2.append(item2["label"]) count = count + 1 np.testing.assert_array_equal(label_list1, label_list2) assert count == 1 def test_gtzan_exception(): """ Feature: GTZANDataset Description: test error cases for GTZANDataset Expectation: the results are as expected """ logger.info("Test error cases for GTZANDataset") error_msg_1 = "sampler and shuffle cannot be specified at the same time" with pytest.raises(RuntimeError, match=error_msg_1): ds.GTZANDataset(DATA_DIR, shuffle=False, sampler=ds.PKSampler(3)) error_msg_2 = "sampler and sharding cannot be specified at the same time" with pytest.raises(RuntimeError, match=error_msg_2): ds.GTZANDataset(DATA_DIR, sampler=ds.PKSampler(3), num_shards=2, shard_id=0) error_msg_3 = "num_shards is specified and currently requires shard_id as well" with pytest.raises(RuntimeError, match=error_msg_3): ds.GTZANDataset(DATA_DIR, num_shards=10) error_msg_4 = "shard_id is specified but num_shards is not" with pytest.raises(RuntimeError, match=error_msg_4): ds.GTZANDataset(DATA_DIR, shard_id=0) error_msg_5 = "Input shard_id is not within the required interval" with pytest.raises(ValueError, match=error_msg_5): ds.GTZANDataset(DATA_DIR, num_shards=5, shard_id=-1) with pytest.raises(ValueError, match=error_msg_5): ds.GTZANDataset(DATA_DIR, num_shards=5, shard_id=5) with pytest.raises(ValueError, match=error_msg_5): ds.GTZANDataset(DATA_DIR, num_shards=2, shard_id=5) error_msg_6 = "num_parallel_workers exceeds" with pytest.raises(ValueError, match=error_msg_6): ds.GTZANDataset(DATA_DIR, shuffle=False, num_parallel_workers=0) with pytest.raises(ValueError, match=error_msg_6): ds.GTZANDataset(DATA_DIR, shuffle=False, num_parallel_workers=256) with pytest.raises(ValueError, match=error_msg_6): ds.GTZANDataset(DATA_DIR, shuffle=False, num_parallel_workers=-2) error_msg_7 = "Argument shard_id" with pytest.raises(TypeError, match=error_msg_7): ds.GTZANDataset(DATA_DIR, num_shards=2, shard_id="0") def exception_func(item): raise Exception("Error occur!") error_msg_8 = "The corresponding data files" with pytest.raises(RuntimeError, match=error_msg_8): data = ds.GTZANDataset(DATA_DIR) data = data.map(operations=exception_func, input_columns=["waveform"], num_parallel_workers=1) for _ in data.create_dict_iterator(output_numpy=True, num_epochs=1): pass def test_gtzan_sequential_sampler(): """ Feature: GTZANDataset Description: test GTZANDataset with SequentialSampler Expectation: the results are as expected """ logger.info("Test GTZANDataset Op with SequentialSampler") num_samples = 2 sampler = ds.SequentialSampler(num_samples=num_samples) data1 = ds.GTZANDataset(DATA_DIR, sampler=sampler) data2 = ds.GTZANDataset(DATA_DIR, shuffle=False, num_samples=num_samples) label_list1, label_list2 = [], [] num_iter = 0 for item1, item2 in zip(data1.create_dict_iterator(output_numpy=True, num_epochs=1), data2.create_dict_iterator(output_numpy=True, num_epochs=1)): label_list1.append(item1["label"]) label_list2.append(item2["label"]) num_iter += 1 np.testing.assert_array_equal(label_list1, label_list2) assert num_iter == num_samples def test_gtzan_usage(): """ Feature: GTZANDataset Description: test GTZANDataset usage Expectation: the results are as expected """ logger.info("Test GTZANDataset usage") def test_config(usage, gtzan_path=None): gtzan_path = DATA_DIR if gtzan_path is None else gtzan_path try: data = ds.GTZANDataset(gtzan_path, usage=usage, shuffle=False) num_rows = 0 for _ in data.create_dict_iterator(num_epochs=1, output_numpy=True): num_rows += 1 except (ValueError, TypeError, RuntimeError) as e: return str(e) return num_rows assert test_config("valid") == 3 assert test_config("all") == 3 assert "usage is not within the valid set of ['train', 'valid', 'test', 'all']" in test_config("invalid") assert "Argument usage with value ['list'] is not of type []" in test_config(["list"]) # change this directory to the folder that contains all gtzan files. all_files_path = None # the following tests on the entire datasets. if all_files_path is not None: assert test_config("train", all_files_path) == 3 assert test_config("valid", all_files_path) == 3 assert ds.GTZANDataset(all_files_path, usage="train").get_dataset_size() == 3 assert ds.GTZANDataset(all_files_path, usage="valid").get_dataset_size() == 3 if __name__ == '__main__': test_gtzan_basic() test_gtzan_distribute_sampler() test_gtzan_exception() test_gtzan_sequential_sampler() test_gtzan_usage()