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| # Copyright (c) Facebook, Inc. and its affiliates. | |
| # | |
| # This source code is licensed under the MIT license found in the | |
| # LICENSE file in the root directory of this source tree. | |
| import logging | |
| import unittest | |
| from typing import Sequence | |
| from fairseq.data import LanguagePairDataset, ListDataset, RoundRobinZipDatasets | |
| from tests.test_train import mock_dict | |
| def lang_pair_dataset(lengths: Sequence[int]) -> LanguagePairDataset: | |
| tokens = [[i] * l for i, l in enumerate(lengths)] | |
| return LanguagePairDataset(ListDataset(tokens), lengths, mock_dict()) | |
| def sample(id: int, length: int): | |
| return {"id": id, "source": [id] * length, "target": None} | |
| class TestDataset(unittest.TestCase): | |
| def setUp(self): | |
| logging.disable(logging.CRITICAL) | |
| def tearDown(self): | |
| logging.disable(logging.NOTSET) | |
| def test_round_robin_zip_datasets(self): | |
| long_dataset = lang_pair_dataset([10, 9, 8, 11]) | |
| short_dataset = lang_pair_dataset([11, 9]) | |
| dataset = RoundRobinZipDatasets({"a": long_dataset, "b": short_dataset}) | |
| # Dataset is now sorted by sentence length | |
| dataset.ordered_indices() | |
| assert dataset.longest_dataset is long_dataset | |
| self.assertEqual(dict(dataset[0]), {"a": sample(2, 8), "b": sample(1, 9)}) | |
| # The item 2 of dataset 'a' is with item (2 % 2 = 0) of dataset 'b' | |
| self.assertEqual(dict(dataset[2]), {"a": sample(0, 10), "b": sample(1, 9)}) | |
| def test_round_robin_zip_datasets_filtered(self): | |
| long_dataset = lang_pair_dataset([10, 20, 8, 11, 1000, 7, 12]) | |
| short_dataset = lang_pair_dataset([11, 20, 9, 1000]) | |
| dataset = RoundRobinZipDatasets({"a": long_dataset, "b": short_dataset}) | |
| # Dataset is now sorted by sentence length | |
| idx = dataset.ordered_indices() | |
| idx, _ = dataset.filter_indices_by_size(idx, {"a": 19, "b": 900}) | |
| self.assertEqual(list(idx), [0, 1, 2, 3, 4]) | |
| self.assertEqual(dict(dataset[0]), {"a": sample(5, 7), "b": sample(2, 9)}) | |
| self.assertEqual(dict(dataset[2]), {"a": sample(0, 10), "b": sample(1, 20)}) | |
| self.assertEqual(dict(dataset[4]), {"a": sample(6, 12), "b": sample(0, 11)}) | |
| def test_round_robin_zip_datasets_filtered_with_tuple(self): | |
| long_dataset = lang_pair_dataset([10, 20, 8, 11, 1000, 7, 12]) | |
| short_dataset = lang_pair_dataset([11, 20, 9, 1000]) | |
| dataset = RoundRobinZipDatasets({"a": long_dataset, "b": short_dataset}) | |
| # Dataset is now sorted by sentence length | |
| idx = dataset.ordered_indices() | |
| idx, _ = dataset.filter_indices_by_size(idx, 19) | |
| self.assertEqual(list(idx), [0, 1, 2, 3, 4]) | |
| self.assertEqual(dict(dataset[0]), {"a": sample(5, 7), "b": sample(2, 9)}) | |
| self.assertEqual(dict(dataset[2]), {"a": sample(0, 10), "b": sample(2, 9)}) | |
| self.assertEqual(dict(dataset[4]), {"a": sample(6, 12), "b": sample(2, 9)}) | |