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vllm-project--vllm/tests/kernels/moe/test_profile_modular_kernel.py
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chore: import upstream snapshot with attribution
2026-07-13 12:55:37 +08:00

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Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
import torch
from vllm.model_executor.layers.fused_moe import TritonExperts
from vllm.model_executor.layers.fused_moe.prepare_finalize import (
MoEPrepareAndFinalizeNoDPEPModular,
)
from .modular_kernel_tools.common import Config
from .modular_kernel_tools.profile_modular_kernel import run
@pytest.mark.skipif(
not torch.cuda.is_available(),
reason="profile_modular_kernel requires a CUDA device",
)
def test_profile_modular_kernel_smoke(tmp_path):
config = Config(
Ms=[16],
K=128,
N=256,
E=4,
topks=[2],
dtype=torch.bfloat16,
quant_config=None,
prepare_finalize_type=MoEPrepareAndFinalizeNoDPEPModular,
fused_experts_type=TritonExperts,
world_size=1,
torch_trace_dir_path=str(tmp_path),
)
run(config)
traces = list(tmp_path.glob("m*_*_trace.json"))
assert traces, "profile_modular_kernel.run did not emit any chrome traces"