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 +1,62 @@
+#!/usr/bin/env python3
+# 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 examples.speech_recognition.data import data_utils
+
+
+class DataUtilsTest(unittest.TestCase):
+    def test_normalization(self):
+        sample_len1 = torch.tensor(
+            [
+                [
+                    -0.7661,
+                    -1.3889,
+                    -2.0972,
+                    -0.9134,
+                    -0.7071,
+                    -0.9765,
+                    -0.8700,
+                    -0.8283,
+                    0.7512,
+                    1.3211,
+                    2.1532,
+                    2.1174,
+                    1.2800,
+                    1.2633,
+                    1.6147,
+                    1.6322,
+                    2.0723,
+                    3.1522,
+                    3.2852,
+                    2.2309,
+                    2.5569,
+                    2.2183,
+                    2.2862,
+                    1.5886,
+                    0.8773,
+                    0.8725,
+                    1.2662,
+                    0.9899,
+                    1.1069,
+                    1.3926,
+                    1.2795,
+                    1.1199,
+                    1.1477,
+                    1.2687,
+                    1.3843,
+                    1.1903,
+                    0.8355,
+                    1.1367,
+                    1.2639,
+                    1.4707,
+                ]
+            ]
+        )
+        out = data_utils.apply_mv_norm(sample_len1)
+        assert not torch.isnan(out).any()
+        assert (out == sample_len1).all()