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chore: import upstream snapshot with attribution
2026-07-13 12:55:37 +08:00

42 lines
1.1 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
from vllm.platforms import current_platform
from ..utils import compare_two_settings, create_new_process_for_each_test
@pytest.mark.parametrize(
"PP_SIZE, MODEL_NAME",
[
(2, "JackFram/llama-160m"),
],
)
@pytest.mark.parametrize(
"ATTN_BACKEND",
[None] if current_platform.is_rocm() else ["FLASH_ATTN"],
)
@create_new_process_for_each_test()
def test_pp_cudagraph(
PP_SIZE: int,
MODEL_NAME: str,
ATTN_BACKEND: str | None,
):
cudagraph_args = [
# use half precision for speed and memory savings in CI environment
"--dtype",
"float16",
"--pipeline-parallel-size",
str(PP_SIZE),
"--distributed-executor-backend",
"mp",
]
# On ROCm, defer to the platform attention selector instead of forcing a backend.
if ATTN_BACKEND is not None:
cudagraph_args.append(f"--attention-backend={ATTN_BACKEND}")
eager_args = cudagraph_args + ["--enforce-eager"]
compare_two_settings(MODEL_NAME, eager_args, cudagraph_args)