[Refactor] Rename NSA → DSA: user-facing aliases, file/class/import rename (#25821)
Co-authored-by: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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co-authored by
Claude Sonnet 4.6
parent
da6d549ab2
commit
8131641bc6
+7
-7
@@ -2,11 +2,11 @@ import unittest
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import torch
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from sglang.srt.mem_cache.memory_pool import NSATokenToKVPool
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from sglang.srt.mem_cache.memory_pool import DSATokenToKVPool
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from sglang.srt.mem_cache.memory_pool_host import (
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ALLOC_MEMORY_FUNCS,
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DSAIndexerPoolHost,
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MLATokenToKVPoolHost,
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NSAIndexerPoolHost,
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alloc_with_pin_memory,
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)
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from sglang.srt.utils import is_cuda, is_hip, is_npu, is_xpu
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@@ -15,12 +15,12 @@ from sglang.test.ci.ci_register import register_cuda_ci
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register_cuda_ci(est_time=9, stage="base-b", runner_config="1-gpu-small")
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class TestNSAHiCacheTransfer(unittest.TestCase):
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class TestDSAHiCacheTransfer(unittest.TestCase):
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def setUp(self):
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if not torch.cuda.is_available():
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self.skipTest("CUDA is required for NSA host transfer tests.")
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self.skipTest("CUDA is required for DSA host transfer tests.")
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if is_npu() or is_xpu():
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self.skipTest("NSA host transfer tests only support CUDA/ROCm.")
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self.skipTest("DSA host transfer tests only support CUDA/ROCm.")
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if not (is_cuda() or is_hip()):
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self.skipTest("CUDA/ROCm not available.")
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@@ -42,7 +42,7 @@ class TestNSAHiCacheTransfer(unittest.TestCase):
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layer_num = 2
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size = page_size * 4
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device_pool = NSATokenToKVPool(
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device_pool = DSATokenToKVPool(
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size=size,
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page_size=page_size,
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kv_lora_rank=128,
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@@ -70,7 +70,7 @@ class TestNSAHiCacheTransfer(unittest.TestCase):
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allocator_type="default",
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override_kv_cache_dim=device_pool.kv_cache_dim,
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)
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indexer_host = NSAIndexerPoolHost(
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indexer_host = DSAIndexerPoolHost(
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device_pool=device_pool,
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anchor_host=mla_host,
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layout="layer_first",
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