fix: malformed KV events for NVIDIA Dynamo (#13488)
Signed-off-by: PeaBrane <yanrpei@gmail.com> Co-authored-by: ishandhanani <82981111+ishandhanani@users.noreply.github.com> Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>
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co-authored by
ishandhanani
Zhiqiang Xie
parent
a102a0507a
commit
f446b51c41
@@ -553,6 +553,94 @@ class TestRadixCache(unittest.TestCase):
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result_branch = cache.match_prefix(RadixKey(seq2))
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torch.testing.assert_close(result_branch.device_indices, val2)
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def test_hash_value_storage(self):
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"""Test that hash_value is stored correctly after insert operations."""
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cache = RadixCache.create_simulated(
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page_size=4,
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enable_kv_cache_events=True,
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)
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# Insert a sequence
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cache.insert(RadixKey([1, 2, 3, 4, 5, 6, 7, 8]), None)
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# Trigger event emission to compute hash_value lazily
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cache.take_events()
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# Find the inserted node (traverse from root)
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node = cache.root_node
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for i in range(0, 8, 4): # page_size=4, so 2 pages
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child_key = tuple([1, 2, 3, 4][:4]) if i == 0 else tuple([5, 6, 7, 8][:4])
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if child_key in node.children:
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node = node.children[child_key]
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break
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# Verify hash_value is set (computed lazily during event emission)
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self.assertIsNotNone(node.hash_value)
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# Should have 2 pages (8 tokens / 4 page_size)
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self.assertEqual(len(node.hash_value), 2)
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def test_hash_value_repeating_tokens(self):
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"""Test that repeating token patterns get different hash values."""
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cache = RadixCache.create_simulated(
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page_size=4,
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enable_kv_cache_events=True,
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)
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# Insert a sequence with repeating token pattern: [1,2,3,4, 1,2,3,4]
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cache.insert(RadixKey([1, 2, 3, 4, 1, 2, 3, 4]), None)
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events = cache.take_events()
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block_stored_events = [e for e in events if isinstance(e, BlockStored)]
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# Should have 2 blocks (2 pages of size 4)
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self.assertEqual(len(block_stored_events), 2)
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# Extract block hashes
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block_hash_1 = block_stored_events[0].block_hashes[0]
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block_hash_2 = block_stored_events[1].block_hashes[0]
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# The two blocks should have DIFFERENT hashes despite same content
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# because they are at different positions (sequence-aware hashing)
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self.assertNotEqual(
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block_hash_1,
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block_hash_2,
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"Repeating token patterns should get different sequence-aware hashes",
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)
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# First block should have no parent
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self.assertIsNone(block_stored_events[0].parent_block_hash)
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# Second block's parent should be the first block's hash
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self.assertEqual(block_stored_events[1].parent_block_hash, block_hash_1)
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def test_hash_value_split(self):
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"""Test that hash_value is split correctly when nodes are split."""
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cache = RadixCache.create_simulated(
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page_size=2,
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enable_kv_cache_events=True,
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)
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# Insert a sequence that will cause a split
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cache.insert(RadixKey([1, 2, 3, 4]), None)
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cache.take_events() # Clear events and compute hash_value for first node
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# Insert a diverging sequence that will cause a split at page boundary
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cache.insert(RadixKey([1, 2, 5, 6]), None)
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cache.take_events() # Trigger event emission to compute hash_value
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# Find the split node
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node = cache.root_node
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child_key = tuple([1, 2])
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if child_key in node.children:
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node = node.children[child_key]
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# After split and event emission, hash_value should be computed
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# Note: If hash_value wasn't set before split, it will be computed lazily
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# during event emission. If it was set, it will be split.
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# Either way, after events are emitted, it should be set.
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self.assertIsNotNone(node.hash_value)
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# Should have 1 page (split at page_size=2)
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self.assertEqual(len(node.hash_value), 1)
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if __name__ == "__main__":
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unittest.main()
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