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 +1,48 @@
+# 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 Dictionary
+from fairseq.modules import CharacterTokenEmbedder
+
+
+class TestCharacterTokenEmbedder(unittest.TestCase):
+    def test_character_token_embedder(self):
+        vocab = Dictionary()
+        vocab.add_symbol("hello")
+        vocab.add_symbol("there")
+
+        embedder = CharacterTokenEmbedder(
+            vocab, [(2, 16), (4, 32), (8, 64), (16, 2)], 64, 5, 2
+        )
+
+        test_sents = [["hello", "unk", "there"], ["there"], ["hello", "there"]]
+        max_len = max(len(s) for s in test_sents)
+        input = torch.LongTensor(len(test_sents), max_len + 2).fill_(vocab.pad())
+        for i in range(len(test_sents)):
+            input[i][0] = vocab.eos()
+            for j in range(len(test_sents[i])):
+                input[i][j + 1] = vocab.index(test_sents[i][j])
+            input[i][j + 2] = vocab.eos()
+        embs = embedder(input)
+
+        assert embs.size() == (len(test_sents), max_len + 2, 5)
+        self.assertAlmostEqual(embs[0][0], embs[1][0])
+        self.assertAlmostEqual(embs[0][0], embs[0][-1])
+        self.assertAlmostEqual(embs[0][1], embs[2][1])
+        self.assertAlmostEqual(embs[0][3], embs[1][1])
+
+        embs.sum().backward()
+        assert embedder.char_embeddings.weight.grad is not None
+
+    def assertAlmostEqual(self, t1, t2):
+        self.assertEqual(t1.size(), t2.size(), "size mismatch")
+        self.assertLess((t1 - t2).abs().max(), 1e-6)
+
+
+if __name__ == "__main__":
+    unittest.main()