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

30 lines
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Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
import torch
from tests.kernels.utils import opcheck
from vllm import _custom_ops as ops # noqa: F401
@pytest.mark.skipif(
not hasattr(torch.ops._C, "awq_dequantize"),
reason="AWQ is not supported on this GPU type.",
)
def test_awq_dequantize_opcheck(monkeypatch: pytest.MonkeyPatch):
with monkeypatch.context() as m:
m.setenv("VLLM_USE_TRITON_AWQ", "0")
qweight = torch.randint(
-2000000000, 2000000000, (8192, 256), device="cuda", dtype=torch.int32
)
scales = torch.rand((64, 2048), device="cuda", dtype=torch.float16)
zeros = torch.empty((64, 256), device="cuda", dtype=torch.int32)
split_k_iters = 0
thx = 0
thy = 0
opcheck(
torch.ops._C.awq_dequantize,
(qweight, scales, zeros, split_k_iters, thx, thy),
)