chore: import upstream snapshot with attribution

2026-07-13 13:24:13 +08:00
commit 1037506f2e
6050 changed files with 1731598 additions and 0 deletions
@@ -0,0 +1,79 @@
+# 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 tests.utils as test_utils
+import torch
+from fairseq.data import TokenBlockDataset
+
+
+class TestTokenBlockDataset(unittest.TestCase):
+    def _build_dataset(self, data, **kwargs):
+        sizes = [len(x) for x in data]
+        underlying_ds = test_utils.TestDataset(data)
+        return TokenBlockDataset(underlying_ds, sizes, **kwargs)
+
+    def test_eos_break_mode(self):
+        data = [
+            torch.tensor([5, 4, 3, 2, 1], dtype=torch.long),
+            torch.tensor([1], dtype=torch.long),
+            torch.tensor([8, 7, 6, 1], dtype=torch.long),
+        ]
+        ds = self._build_dataset(data, block_size=None, pad=0, eos=1, break_mode="eos")
+        self.assertEqual(ds[0].tolist(), [5, 4, 3, 2, 1])
+        self.assertEqual(ds[1].tolist(), [1])
+        self.assertEqual(ds[2].tolist(), [8, 7, 6, 1])
+
+        data = [
+            torch.tensor([5, 4, 3, 2, 1], dtype=torch.long),
+            torch.tensor([8, 7, 6, 1], dtype=torch.long),
+            torch.tensor([1], dtype=torch.long),
+        ]
+        ds = self._build_dataset(data, block_size=None, pad=0, eos=1, break_mode="eos")
+        self.assertEqual(ds[0].tolist(), [5, 4, 3, 2, 1])
+        self.assertEqual(ds[1].tolist(), [8, 7, 6, 1])
+        self.assertEqual(ds[2].tolist(), [1])
+
+    def test_block_break_mode(self):
+        data = [
+            torch.tensor([5, 4, 3, 2, 1], dtype=torch.long),
+            torch.tensor([8, 7, 6, 1], dtype=torch.long),
+            torch.tensor([9, 1], dtype=torch.long),
+        ]
+        ds = self._build_dataset(data, block_size=3, pad=0, eos=1, break_mode="none")
+        self.assertEqual(ds[0].tolist(), [5, 4, 3])
+        self.assertEqual(ds[1].tolist(), [2, 1, 8])
+        self.assertEqual(ds[2].tolist(), [7, 6, 1])
+        self.assertEqual(ds[3].tolist(), [9, 1])
+
+    def test_complete_break_mode(self):
+        data = [
+            torch.tensor([5, 4, 3, 2, 1], dtype=torch.long),
+            torch.tensor([8, 7, 6, 1], dtype=torch.long),
+            torch.tensor([9, 1], dtype=torch.long),
+        ]
+        ds = self._build_dataset(
+            data, block_size=6, pad=0, eos=1, break_mode="complete"
+        )
+        self.assertEqual(ds[0].tolist(), [5, 4, 3, 2, 1])
+        self.assertEqual(ds[1].tolist(), [8, 7, 6, 1, 9, 1])
+
+        data = [
+            torch.tensor([4, 3, 2, 1], dtype=torch.long),
+            torch.tensor([5, 1], dtype=torch.long),
+            torch.tensor([1], dtype=torch.long),
+            torch.tensor([6, 1], dtype=torch.long),
+        ]
+        ds = self._build_dataset(
+            data, block_size=3, pad=0, eos=1, break_mode="complete"
+        )
+        self.assertEqual(ds[0].tolist(), [4, 3, 2, 1])
+        self.assertEqual(ds[1].tolist(), [5, 1, 1])
+        self.assertEqual(ds[2].tolist(), [6, 1])
+
+
+if __name__ == "__main__":
+    unittest.main()