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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 10, 12:45 UTC

[ROCm]Skip test_torchao.py::test_pre_quantized_model on CDNA3 arch (#31905)

Signed-off-by: ZhiweiYan-96 <zhiwei.yan@amd.com>

Zhiwei committed Jan 8, 2026 at 15:47 UTC 573a1d1119af85613ff0cb90ac063ab669cbbd7f
1 file changed +6
tests/quantization/test_torchao.py
+6
@@ -6,11 +6,17 @@ import importlib.util
6 import pytest
7 import torch
8
9 +from vllm.platforms import current_platform
10 +
11 DTYPE = ["bfloat16"]
12
13 TORCHAO_AVAILABLE = importlib.util.find_spec("torchao") is not None
14
15
16 +@pytest.mark.skipif(
17 + current_platform.is_rocm() and current_platform.is_fp8_fnuz(),
18 + reason="Only fp8_fnuz supported on CDNA3 architecture",
19 +)
20 @pytest.mark.skipif(not TORCHAO_AVAILABLE, reason="torchao is not available")
21 def test_pre_quantized_model(vllm_runner):
22 with vllm_runner(