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Drop 0.11.0 support (#4377)

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There is a lot hack code for v0.11.0, which makes the code hard to
upgrade to newer vLLM version. Since v0.11.0 will release soon. Let's
drop v0.11.0 support first. Then we'll upgrade to v0.11.2 soon.


- vLLM version: v0.11.0
- vLLM main:
2918c1b49c

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
wangxiyuan
2025-11-24 17:08:20 +08:00
committed by GitHub
parent 41ddb06554
commit a1f142b7ad
80 changed files with 467 additions and 1755 deletions
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40
tests/ut/test_utils.py
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@@ -274,46 +274,8 @@ class TestUtils(TestBase):
utils.update_aclgraph_sizes(test_vllm_config)
del os.environ['HCCL_OP_EXPANSION_MODE']
if utils.vllm_version_is("0.11.0"):
self.assertEqual(
137,
len(test_vllm_config.compilation_config.cudagraph_capture_sizes
))
else:
self.assertEqual(
0,
len(test_vllm_config.compilation_config.cudagraph_capture_sizes
))
return
test_vllm_config.speculative_config = mock.MagicMock()
test_vllm_config.speculative_config.num_speculative_tokens = 2
test_vllm_config.speculative_config.draft_model_config = mock.MagicMock(
)
test_vllm_config.speculative_config.draft_model_config.hf_config = mock.MagicMock(
)
test_vllm_config.speculative_config.draft_model_config.hf_config.num_hidden_layers = 2
os.environ['HCCL_OP_EXPANSION_MODE'] = 'AIV'
utils.update_aclgraph_sizes(test_vllm_config)
del os.environ['HCCL_OP_EXPANSION_MODE']
self.assertEqual(
111,
len(test_vllm_config.compilation_config.cudagraph_capture_sizes))
# max_num_batch_sizes >= len(original_sizes)
test_compilation_config = CompilationConfig(
cudagraph_capture_sizes=[1, 2, 3])
test_vllm_config = VllmConfig(
model_config=test_model_config,
compilation_config=test_compilation_config,
parallel_config=test_parallel_config,
)
utils.update_aclgraph_sizes(test_vllm_config)
os.environ['HCCL_OP_EXPANSION_MODE'] = 'AIV'
utils.update_aclgraph_sizes(test_vllm_config)
del os.environ['HCCL_OP_EXPANSION_MODE']
self.assertEqual(
3,
0,
len(test_vllm_config.compilation_config.cudagraph_capture_sizes))
@mock.patch("vllm.model_executor.custom_op.CustomOp")