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[Cherry-Pick][Bugfix] Fix entropy calculation bugs (#5941) (#5942)

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* fix entropy bug
This commit is contained in:
GoldPancake
2026-01-08 20:57:45 +08:00
committed by GitHub
parent 16645c671c
commit 8049a4982e
3 changed files with 70 additions and 16 deletions
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tests/model_executor/test_entropy_utils.py
+56
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@@ -107,6 +107,34 @@ class TestCalculateLogitsEntropy(unittest.TestCase):
self.assertAlmostEqual(share_inputs["entropy_list"][2][0], 0.0003187173861078918, places=6)
def test_negative_inf_clip(self):
share_inputs = {
"seq_lens_this_time": paddle.to_tensor([[1], [0], [15]], dtype="int32"),
"seq_lens_encoder": paddle.to_tensor([[0], [0], [15]], dtype="int32"),
"seq_lens_decoder": paddle.to_tensor([[30], [0], [15]], dtype="int32"),
"entropy_list": [[], [], []],
"stop_flags": paddle.to_tensor([[False], [True], [False]], dtype="bool"),
"req_ids": ["req_1", "req_2", "req_3"],
}
logits = paddle.to_tensor(
[
[10.0, 1.0, -float("inf")],
[1.0, 1.0, -float("inf")],
],
dtype="float32",
)
temperature = paddle.ones([3], dtype="float32")
calculate_logits_entropy(logits, share_inputs, temperature)
self.assertEqual(len(share_inputs["entropy_list"][0]), 1)
self.assertEqual(len(share_inputs["entropy_list"][1]), 0)
self.assertEqual(len(share_inputs["entropy_list"][2]), 1)
self.assertAlmostEqual(share_inputs["entropy_list"][0][0], 0.0017332095885649323, places=6)
self.assertAlmostEqual(share_inputs["entropy_list"][2][0], 1.017357349395752, places=6)
class TestSpeculateCalculateLogitsEntropy(unittest.TestCase):
@@ -207,6 +235,34 @@ class TestSpeculateCalculateLogitsEntropy(unittest.TestCase):
self.assertAlmostEqual(share_inputs["entropy_list"][1][0], 0.0024676250759512186, places=6)
def test_negative_inf_clip(self):
share_inputs = {
"seq_lens_this_time": paddle.to_tensor([[1], [0], [15]], dtype="int32"),
"seq_lens_encoder": paddle.to_tensor([[0], [0], [15]], dtype="int32"),
"seq_lens_decoder": paddle.to_tensor([[30], [0], [15]], dtype="int32"),
"entropy_list": [[], [], []],
"stop_flags": paddle.to_tensor([[False], [True], [False]], dtype="bool"),
"req_ids": ["req_1", "req_2", "req_3"],
}
logits = paddle.to_tensor(
[
[10.0, 1.0, -float("inf")],
[1.0, 1.0, -float("inf")],
],
dtype="float32",
)
temperature = paddle.ones([3], dtype="float32")
calculate_logits_entropy(logits, share_inputs, temperature)
self.assertEqual(len(share_inputs["entropy_list"][0]), 1)
self.assertEqual(len(share_inputs["entropy_list"][1]), 0)
self.assertEqual(len(share_inputs["entropy_list"][2]), 1)
self.assertAlmostEqual(share_inputs["entropy_list"][0][0], 0.0017332095885649323, places=6)
self.assertAlmostEqual(share_inputs["entropy_list"][2][0], 1.017357349395752, places=6)
if __name__ == "__main__":
unittest.main()