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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 unittest | |
| import torch | |
| from fairseq.data import LanguagePairDataset, TokenBlockDataset | |
| from fairseq.data.concat_dataset import ConcatDataset | |
| from tests.test_train import mock_dict | |
| class TestConcatDataset(unittest.TestCase): | |
| def setUp(self): | |
| d = mock_dict() | |
| tokens_1 = torch.LongTensor([1]).view(1, -1) | |
| tokens_ds1 = TokenBlockDataset( | |
| tokens_1, | |
| sizes=[tokens_1.size(-1)], | |
| block_size=1, | |
| pad=0, | |
| eos=1, | |
| include_targets=False, | |
| ) | |
| self.dataset_1 = LanguagePairDataset( | |
| tokens_ds1, tokens_ds1.sizes, d, shuffle=False | |
| ) | |
| tokens_2 = torch.LongTensor([2]).view(1, -1) | |
| tokens_ds2 = TokenBlockDataset( | |
| tokens_2, | |
| sizes=[tokens_2.size(-1)], | |
| block_size=1, | |
| pad=0, | |
| eos=1, | |
| include_targets=False, | |
| ) | |
| self.dataset_2 = LanguagePairDataset( | |
| tokens_ds2, tokens_ds2.sizes, d, shuffle=False | |
| ) | |
| def test_concat_dataset_basics(self): | |
| d = ConcatDataset([self.dataset_1, self.dataset_2]) | |
| assert len(d) == 2 | |
| assert d[0]["source"][0] == 1 | |
| assert d[1]["source"][0] == 2 | |
| d = ConcatDataset([self.dataset_1, self.dataset_2], sample_ratios=[1, 2]) | |
| assert len(d) == 3 | |
| assert d[0]["source"][0] == 1 | |
| assert d[1]["source"][0] == 2 | |
| assert d[2]["source"][0] == 2 | |
| d = ConcatDataset([self.dataset_1, self.dataset_2], sample_ratios=[2, 1]) | |
| assert len(d) == 3 | |
| assert d[0]["source"][0] == 1 | |
| assert d[1]["source"][0] == 1 | |
| assert d[2]["source"][0] == 2 | |