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[None][fix] fix CUDA graph config for test_llm_api_pytorch.py. #6826

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Merged
yuxianq merged 1 commit into from
Aug 13, 2025
Merged

[None][fix] fix CUDA graph config for test_llm_api_pytorch.py. #6826

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12 changes: 8 additions & 4 deletions tests/integration/defs/accuracy/test_llm_api_pytorch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -503,7 +503,8 @@ def test_fp8(self, cuda_graph, tp_size, pp_size, ep_size):
max_seq_len=8192,
pipeline_parallel_size=pp_size,
moe_expert_parallel_size=ep_size,
use_cuda_graph=cuda_graph) as llm:
cuda_graph_config=CudaGraphConfig()
if cuda_graph else None) as llm:
assert llm.args.quant_config.quant_algo == QuantAlgo.FP8
assert llm.args.quant_config.kv_cache_quant_algo == QuantAlgo.FP8
task = MMLU(self.MODEL_NAME)
Expand All @@ -526,7 +527,8 @@ def test_fp8_chunked_prefill(self, cuda_graph, tp_size, pp_size, ep_size):
moe_expert_parallel_size=ep_size,
enable_chunked_prefill=True,
max_num_tokens=256,
use_cuda_graph=cuda_graph) as llm:
cuda_graph_config=CudaGraphConfig()
if cuda_graph else None) as llm:
assert llm.args.quant_config.quant_algo == QuantAlgo.FP8
assert llm.args.quant_config.kv_cache_quant_algo == QuantAlgo.FP8
task = MMLU(self.MODEL_NAME)
Expand Down Expand Up @@ -646,7 +648,8 @@ def test_fp8_chunked_prefill(self, cuda_graph, tp_size, pp_size, ep_size):
moe_expert_parallel_size=ep_size,
enable_chunked_prefill=True,
max_num_tokens=256,
use_cuda_graph=cuda_graph) as llm:
cuda_graph_config=CudaGraphConfig()
if cuda_graph else None) as llm:
assert llm.args.quant_config.quant_algo == QuantAlgo.FP8
assert llm.args.quant_config.kv_cache_quant_algo == QuantAlgo.FP8
task = MMLU(self.MODEL_NAME)
Expand All @@ -668,7 +671,8 @@ def test_fp4_chunked_prefill(self, cuda_graph, tp_size, pp_size, ep_size):
max_seq_len=22000,
enable_chunked_prefill=True,
max_num_tokens=256,
use_cuda_graph=cuda_graph) as llm:
cuda_graph_config=CudaGraphConfig()
if cuda_graph else None) as llm:
assert llm.args.quant_config.quant_algo == QuantAlgo.NVFP4
assert llm.args.quant_config.kv_cache_quant_algo == QuantAlgo.FP8
task = MMLU(self.MODEL_NAME)
Expand Down