[Bugfix] Fix batched KV free aliasing (#34067)
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@@ -82,6 +82,19 @@ class TestFreeSegment(unittest.TestCase):
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alloc.free_group_end()
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self.assertEqual(len(alloc.free_pages), before + 2)
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def test_group_owns_deferred_page_representatives(self):
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alloc = _make_allocator()
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row = _make_kv_row(alloc, 2 * PAGE_SIZE)
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expected_pages = torch.unique(row // PAGE_SIZE)
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alloc.free_group_begin()
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alloc.free_segment(row, start_pos=0)
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row.zero_()
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alloc.free_group_end()
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freed_pages = alloc.free_pages[: expected_pages.numel()]
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self.assertTrue(torch.equal(torch.sort(freed_pages)[0], expected_pages))
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def test_group_end_debug_assert_catches_cross_call_double_free(self):
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# legacy free() + free_segment() on the same page in one group must
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# trip free_group_end's debug assert
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@@ -31,6 +31,7 @@ from array import array
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import torch
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from sglang.srt.disaggregation.kv_events import BlockRemoved, BlockStored
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from sglang.srt.mem_cache.allocator.token import TokenToKVPoolAllocator
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from sglang.srt.mem_cache.base_prefix_cache import (
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EvictParams,
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EvictResult,
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@@ -391,23 +392,7 @@ class TestRadixCache(unittest.TestCase):
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)
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self.assertEqual(cache.total_size(), 5)
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def test_cache_unfinished_req_deferred_free_keeps_original_indices(self):
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class DeferredFreeAllocator:
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device = torch.device("cpu")
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def __init__(self):
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self.free_group = []
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self.freed = None
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def free_group_begin(self):
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self.free_group = []
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def free_segment(self, free_index, *, start_pos):
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self.free_group.append(free_index)
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def free_group_end(self):
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self.freed = torch.cat(self.free_group)
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def test_cache_unfinished_req_deferred_free_owns_original_indices(self):
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class ReqToTokenPool:
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def __init__(self, row):
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self.req_to_token = row.unsqueeze(0)
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@@ -415,11 +400,19 @@ class TestRadixCache(unittest.TestCase):
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def write(self, indices, values):
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self.req_to_token[indices] = values
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allocator = DeferredFreeAllocator()
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allocator = TokenToKVPoolAllocator(
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size=16,
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dtype=torch.float16,
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device="cpu",
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kvcache=None,
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need_sort=False,
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)
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cache = RadixCache.create_simulated(mock_allocator=allocator)
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token_ids = array("q", [1, 2, 3])
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tree_indices = torch.tensor([10, 11, 12], dtype=torch.int64)
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request_indices = torch.tensor([20, 21, 22], dtype=torch.int64)
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tree_indices = allocator.alloc(3)
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request_indices = allocator.alloc(3)
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assert tree_indices is not None
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assert request_indices is not None
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cache.insert(
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InsertParams(
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key=RadixKey(array("q", token_ids)),
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@@ -436,11 +429,16 @@ class TestRadixCache(unittest.TestCase):
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)
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req.get_fill_ids.return_value = token_ids
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available_before_free = allocator.available_size()
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allocator.free_group_begin()
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cache.cache_unfinished_req(req)
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allocator.free_group_end()
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torch.testing.assert_close(allocator.freed, request_indices)
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self.assertEqual(
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allocator.available_size(),
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available_before_free + request_indices.numel(),
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)
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torch.testing.assert_close(allocator.free_pages[-3:], request_indices)
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torch.testing.assert_close(
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cache.req_to_token_pool.req_to_token[0], tree_indices
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)
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@@ -224,7 +224,7 @@ class TestSWA(unittest.TestCase):
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allocator.free_swa(full_indices[1:2])
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self.assertEqual(allocator.swa_available_size(), 16)
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def test_free_swa_batches_with_free_group(self):
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def test_free_swa_group_owns_deferred_indices(self):
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_, allocator, _ = _build_swa_tree(
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is_eagle=False,
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kv_size=32,
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@@ -235,6 +235,7 @@ class TestSWA(unittest.TestCase):
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indices = _swa_alloc(allocator, size)
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assert indices is not None
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index_batches.append(indices)
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original_indices = torch.cat([indices.clone() for indices in index_batches])
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available_before_free = allocator.swa_available_size()
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allocator.free_group_begin()
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@@ -243,20 +244,19 @@ class TestSWA(unittest.TestCase):
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self.assertEqual(len(allocator.swa_free_group), len(index_batches))
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self.assertEqual(allocator.swa_available_size(), available_before_free)
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for indices in index_batches:
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indices.zero_()
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allocator.free_group_end()
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all_indices = torch.cat(index_batches).to(torch.int64)
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self.assertEqual(allocator.swa_free_group, [])
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self.assertTrue(
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torch.equal(
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allocator.full_to_swa_index_mapping[all_indices],
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torch.zeros_like(all_indices),
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allocator.full_to_swa_index_mapping[original_indices.to(torch.int64)],
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torch.zeros_like(original_indices),
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)
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)
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self.assertEqual(
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allocator.swa_available_size(),
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available_before_free + all_indices.numel(),
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available_before_free + original_indices.numel(),
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)
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def test_swa_radix_cache_1(self):
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