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Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/1357 Reviewed By: alexeib Differential Revision: D24377772 fbshipit-source-id: 51581af041d42d62166b33a35a1a4228b1a76f0c
59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
# Copyright (c) Facebook, Inc. and its affiliates.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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import unittest
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import torch
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from fairseq.data import LanguagePairDataset, TokenBlockDataset
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from fairseq.data.concat_dataset import ConcatDataset
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from tests.test_train import mock_dict
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class TestConcatDataset(unittest.TestCase):
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def setUp(self):
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d = mock_dict()
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tokens_1 = torch.LongTensor([1]).view(1, -1)
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tokens_ds1 = TokenBlockDataset(
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tokens_1,
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sizes=[tokens_1.size(-1)],
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block_size=1,
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pad=0,
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eos=1,
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include_targets=False,
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)
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self.dataset_1 = LanguagePairDataset(
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tokens_ds1, tokens_ds1.sizes, d, shuffle=False
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)
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tokens_2 = torch.LongTensor([2]).view(1, -1)
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tokens_ds2 = TokenBlockDataset(
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tokens_2,
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sizes=[tokens_2.size(-1)],
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block_size=1,
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pad=0,
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eos=1,
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include_targets=False,
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)
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self.dataset_2 = LanguagePairDataset(
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tokens_ds2, tokens_ds2.sizes, d, shuffle=False
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)
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def test_concat_dataset_basics(self):
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d = ConcatDataset([self.dataset_1, self.dataset_2])
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assert len(d) == 2
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assert d[0]["source"][0] == 1
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assert d[1]["source"][0] == 2
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d = ConcatDataset([self.dataset_1, self.dataset_2], sample_ratios=[1, 2])
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assert len(d) == 3
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assert d[0]["source"][0] == 1
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assert d[1]["source"][0] == 2
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assert d[2]["source"][0] == 2
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d = ConcatDataset([self.dataset_1, self.dataset_2], sample_ratios=[2, 1])
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assert len(d) == 3
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assert d[0]["source"][0] == 1
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assert d[1]["source"][0] == 1
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assert d[2]["source"][0] == 2
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