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Fix typo of VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE (#1112)

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### What this PR does / why we need it?
Fix typo of VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

CI passed

Signed-off-by: linfeng-yuan <1102311262@qq.com>
This commit is contained in:
linfeng-yuan
2025-06-07 19:45:33 +08:00
committed by GitHub
parent 20dedba5d1
commit b80a484864
4 changed files with 5 additions and 5 deletions
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2
tests/multicard/test_offline_inference_distributed.py
View File

@@ -61,7 +61,7 @@ def test_models_distributed_DeepSeek():
vllm_model.generate_greedy(example_prompts, max_tokens)
@patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_TOPK_OPTIMZE": "1"})
@patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE": "1"})
def test_models_distributed_topk() -> None:
example_prompts = [
"vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs.",

2
tests/singlecard/test_offline_inference.py
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@@ -83,7 +83,7 @@ def test_multimodal(model, prompt_template, vllm_runner):
max_tokens=64)
@patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_TOPK_OPTIMZE": "1"})
@patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE": "1"})
def test_models_topk() -> None:
example_prompts = [
"Hello, my name is",

4
vllm_ascend/envs.py
View File

@@ -57,8 +57,8 @@ env_variables: Dict[str, Callable[[], Any]] = {
lambda: bool(int(os.getenv("VLLM_ENABLE_MC2", '0'))),
# Whether to enable the topk optimization. It's disabled by default for experimental support
# We'll make it enabled by default in the future.
"VLLM_ASCEND_ENABLE_TOPK_OPTIMZE":
lambda: bool(int(os.getenv("VLLM_ASCEND_ENABLE_TOPK_OPTIMZE", '0'))),
"VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE":
lambda: bool(int(os.getenv("VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE", '0'))),
# Whether to use LCCL communication. If not set, the default value is False.
"USING_LCCL_COM":
lambda: bool(int(os.getenv("USING_LCCL_COM", '0'))),

2
vllm_ascend/patch/worker/patch_common/patch_sampler.py
View File

@@ -97,5 +97,5 @@ def topk_topp_forward_native(
Sampler.apply_min_p = apply_min_p
if envs.VLLM_ASCEND_ENABLE_TOPK_OPTIMZE:
if envs.VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE:
TopKTopPSampler.forward_native = topk_topp_forward_native