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[None][chore] Waive E2E GB200 tests for Gemma3 27B #6916

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Merged
merged 1 commit into from
Aug 19, 2025
+16 −5
Merged

[None][chore] Waive E2E GB200 tests for Gemma3 27B #6916

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5 changes: 4 additions & 1 deletion 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 @@ -759,13 +759,16 @@ def test_auto_dtype(self):
kv_cache_config = KvCacheConfig(
enable_block_reuse=False,
enable_partial_reuse=False,
free_gpu_memory_fraction=0.5,
)
# We use FlashInfer as the attention backend for Gemma3 VLM to support custom mask for images.
# So, testing with it here.
with LLM(self.MODEL_PATH,
kv_cache_config=kv_cache_config,
attn_backend="FLASHINFER",
cuda_graph_config=None) as llm:
cuda_graph_config=None,
max_batch_size=128,
max_seq_len=4096) as llm:
task = CnnDailymail(self.MODEL_NAME)
task.evaluate(llm)
task = MMLU(self.MODEL_NAME)
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15 changes: 12 additions & 3 deletions tests/integration/defs/test_e2e.py
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Expand Up @@ -2232,7 +2232,8 @@ def test_ptp_quickstart_advanced_mixed_precision(llm_root, llm_venv):
marks=pytest.mark.skip_less_device_memory(80000)),
pytest.param("gemma-3-27b-it",
"gemma/gemma-3-27b-it",
marks=pytest.mark.skip_less_device_memory(80000)),
marks=(skip_post_blackwell,
pytest.mark.skip_less_device_memory(80000))),
])
def test_ptp_quickstart_multimodal(llm_root, llm_venv, model_name, model_path,
modality, use_cuda_graph):
Expand Down Expand Up @@ -2368,6 +2369,8 @@ def test_ptp_quickstart_multimodal(llm_root, llm_venv, model_name, model_path,
cmd.append("--image_format=pil")
cmd.append("--attention_backend=FLASHINFER")
cmd.append("--disable_kv_cache_reuse")
cmd.append("--kv_cache_fraction=0.5")
cmd.append("--max_seq_len=1024")

output = llm_venv.run_cmd(cmd, caller=check_output)

Expand Down Expand Up @@ -2528,9 +2531,10 @@ def test_ptp_quickstart_multimodal_phi4mm(llm_root, llm_venv, modality):
@pytest.mark.skip_less_device(2)
@pytest.mark.skip_less_device_memory(80000)
@pytest.mark.parametrize("model_name,model_path", [
("gemma-3-27b-it", "gemma/gemma-3-27b-it"),
("mistral-small-3.1-24b-instruct", "Mistral-Small-3.1-24B-Instruct-2503"),
("Phi-4-multimodal-instruct", "multimodals/Phi-4-multimodal-instruct"),
pytest.param(
"gemma-3-27b-it", "gemma/gemma-3-27b-it", marks=skip_post_blackwell),
])
def test_ptp_quickstart_multimodal_2gpu(llm_root, llm_venv, model_name,
model_path):
Expand Down Expand Up @@ -2602,6 +2606,8 @@ def test_ptp_quickstart_multimodal_2gpu(llm_root, llm_venv, model_name,
cmd.append("--image_format=pil")
cmd.append("--attention_backend=FLASHINFER")
cmd.append("--disable_kv_cache_reuse")
cmd.append("--kv_cache_fraction=0.5")
cmd.append("--max_seq_len=1024")
elif model_name == "Phi-4-multimodal-instruct":
# Set max_seq_len to 4096 to use short rope factor.
cmd.append("--max_seq_len=4096")
Expand Down Expand Up @@ -2630,9 +2636,10 @@ def test_ptp_quickstart_multimodal_2gpu(llm_root, llm_venv, model_name,

@pytest.mark.skip_less_device_memory(80000)
@pytest.mark.parametrize("model_name,model_path", [
("gemma-3-27b-it", "gemma/gemma-3-27b-it"),
("mistral-small-3.1-24b-instruct", "Mistral-Small-3.1-24B-Instruct-2503"),
("Phi-4-multimodal-instruct", "multimodals/Phi-4-multimodal-instruct"),
pytest.param(
"gemma-3-27b-it", "gemma/gemma-3-27b-it", marks=skip_post_blackwell),
])
def test_ptp_quickstart_multimodal_multiturn(llm_root, llm_venv, model_name,
model_path):
Expand Down Expand Up @@ -2698,6 +2705,8 @@ def test_ptp_quickstart_multimodal_multiturn(llm_root, llm_venv, model_name,
cmd.append("--image_format=pil")
cmd.append("--attention_backend=FLASHINFER")
cmd.append("--disable_kv_cache_reuse")
cmd.append("--kv_cache_fraction=0.5")
cmd.append("--max_seq_len=1024")
elif model_name == "Phi-4-multimodal-instruct":
# Set max_seq_len to 4096 to use short rope factor.
cmd.append("--max_seq_len=4096")
Expand Down
1 change: 0 additions & 1 deletion tests/integration/test_lists/waives.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -281,7 +281,6 @@ full:GB200/examples/test_qwen.py::test_llm_qwen_7b_multi_gpus_summary[qwen1.5_7b
full:GB200/examples/test_qwen.py::test_llm_qwen_7b_multi_gpus_summary[qwen2_7b_instruct-enable_fmha_fp32_acc-enable_plugin-tp2pp2-nb:4] SKIP (https://nvbugs/5247837)
full:GB200/examples/test_qwen.py::test_llm_qwen_7b_multi_gpus_summary[qwen2_vl_7b_instruct-enable_fmha_fp32_acc-enable_plugin-tp2pp2-nb:4] SKIP (https://nvbugs/5359696)
full:GB200/examples/test_qwen.py::test_llm_qwen_7b_multi_gpus_summary[qwen2.5_7b_chat-enable_fmha_fp32_acc-enable_plugin-tp2pp2-nb:4] SKIP (https://nvbugs/5247837)
accuracy/test_llm_api_pytorch.py::TestMistralSmall24B::test_auto_dtype[/scratch.trt_llm_data/llm-models/Mistral-Small-3.1-24B-Instruct-2503-fp8-FP8] SKIP (https://nvbugs/5462007)
accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16[mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5410391)
accuracy/test_llm_api.py::TestMistral_Nemo_12B_Base::test_fp8 SKIP (https://nvbugs/5413197)
accuracy/test_cli_flow.py::TestLlama3_8BInstructGradient1048k::test_long_context_ppl SKIP (https://nvbugs/5413362)
Expand Down