vllm/tests/kernels/quantization/test_scaled_mm_kernel_selection.py
shivampr cd7740ac5c
[ROCm] Enable Triton ScaledMM fallback + kernel selection fix (#26668)
Signed-off-by: Shivam <shivampr.dev@gmail.com>
Signed-off-by: Shivam <shivamprasad91@gmail.com>
2025-12-12 13:28:20 -05:00

92 lines
3.5 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Tests for ScaledMM kernel selection logic (CPU-only)
Run `pytest tests/kernels/quantization/test_scaled_mm_kernel_selection.py`.
"""
import inspect
from abc import ABC
import pytest
from vllm.model_executor.layers.quantization.kernels.scaled_mm import (
ScaledMMLinearLayerConfig,
)
from vllm.model_executor.layers.quantization.kernels.scaled_mm.aiter import (
AiterScaledMMLinearKernel,
)
from vllm.model_executor.layers.quantization.kernels.scaled_mm.cpu import (
CPUScaledMMLinearKernel,
)
from vllm.model_executor.layers.quantization.kernels.scaled_mm.ScaledMMLinearKernel import ( # noqa: E501
ScaledMMLinearKernel,
)
pytestmark = pytest.mark.cpu_test
def test_is_supported_is_abstract():
"""Test that is_supported() is properly defined as abstract."""
assert issubclass(ScaledMMLinearKernel, ABC)
assert hasattr(ScaledMMLinearKernel, "is_supported")
def test_cpu_kernel_implements_is_supported():
"""Test that CPUScaledMMLinearKernel implements is_supported() method."""
assert hasattr(CPUScaledMMLinearKernel, "is_supported"), (
"CPUScaledMMLinearKernel missing is_supported() method"
)
# Verify it's a classmethod by checking if it can be called with the class
# and by checking the method type
assert inspect.ismethod(CPUScaledMMLinearKernel.is_supported) or inspect.isfunction(
CPUScaledMMLinearKernel.is_supported
), "CPUScaledMMLinearKernel.is_supported() should be a classmethod"
# Verify it can be called as a classmethod
result, reason = CPUScaledMMLinearKernel.is_supported()
assert isinstance(result, bool), "is_supported() should return a bool"
assert reason is None or isinstance(reason, str), "reason should be str or None"
def test_aiter_kernel_implements_is_supported():
"""Test that AiterScaledMMLinearKernel implements is_supported() method."""
assert hasattr(AiterScaledMMLinearKernel, "is_supported"), (
"AiterScaledMMLinearKernel missing is_supported() method"
)
# Verify it's a classmethod by checking if it can be called with the class
# and by checking the method type
assert inspect.ismethod(
AiterScaledMMLinearKernel.is_supported
) or inspect.isfunction(AiterScaledMMLinearKernel.is_supported), (
"AiterScaledMMLinearKernel.is_supported() should be a classmethod"
)
# Verify it can be called as a classmethod
# (will return False on CPU, which is expected)
result, reason = AiterScaledMMLinearKernel.is_supported()
assert isinstance(result, bool), "is_supported() should return a bool"
assert reason is None or isinstance(reason, str), "reason should be str or None"
# On CPU, it should return False with a reason about requiring ROCm
# This validates the method works correctly even on non-ROCm platforms
def test_cpu_kernel_accepts_all_configs():
"""Test that CPUScaledMMLinearKernel accepts all config combinations."""
configs = [
ScaledMMLinearLayerConfig(
is_channelwise=False,
is_static_input_scheme=True,
input_symmetric=True,
),
ScaledMMLinearLayerConfig(
is_channelwise=True,
is_static_input_scheme=False,
input_symmetric=False,
),
]
for config in configs:
can_impl, reason = CPUScaledMMLinearKernel.can_implement(config)
assert can_impl, (
f"CPUScaledMMLinearKernel should accept config {config}: {reason}"
)