83 lines
2.9 KiB
Python
83 lines
2.9 KiB
Python
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#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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# This file is a part of the vllm-ascend project.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""Ascend quantization scheme implementations.
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This module provides all quantization scheme implementations for Ascend NPU.
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Schemes are automatically registered via the @register_scheme decorator.
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Usage:
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from vllm_ascend.quantization.methods import get_scheme_class
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# Get a scheme class by quant_type and layer_type
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scheme_cls = get_scheme_class("W8A8_DYNAMIC", "linear")
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scheme = scheme_cls()
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"""
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from typing import Any
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# Import base classes
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from .base import (AscendAttentionScheme, AscendLinearScheme, AscendMoEScheme,
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QuantType)
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# Import registry functions
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from .registry import get_scheme_class, register_scheme
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# Import all scheme classes for external access
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from .w4a4_flatquant import AscendW4A4FlatQuantDynamicLinearMethod
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from .w4a4_laos_dynamic import AscendW4A4LaosDynamicLinearMethod
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from .w4a8 import (AscendW4A8DynamicFusedMoEMethod,
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AscendW4A8DynamicLinearMethod)
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from .w4a16 import AscendW4A16FusedMoEMethod
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from .w8a8_dynamic import (AscendW8A8DynamicFusedMoEMethod,
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AscendW8A8DynamicLinearMethod)
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from .w8a8_mxfp8 import AscendW8A8MXFP8DynamicLinearMethod
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from .w8a8_pdmix import (AscendW8A8PDMixFusedMoeMethod,
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AscendW8A8PDMixLinearMethod)
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from .w8a8_static import AscendW8A8LinearMethod
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from .w8a16 import AscendW8A16LinearMethod
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def is_mx_quant_type(instance: Any) -> bool:
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"""Checks if the quantization method is a microscaling (MX) type."""
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MX_QUANT_TYPES = (AscendW8A8MXFP8DynamicLinearMethod, )
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return isinstance(instance, MX_QUANT_TYPES)
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__all__ = [
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# Base classes
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"AscendAttentionScheme",
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"AscendLinearScheme",
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"AscendMoEScheme",
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"QuantType",
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# Registry functions
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"register_scheme",
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"get_scheme_class",
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# Utility functions
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"is_mx_quant_type",
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# Scheme classes
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"AscendW8A8LinearMethod",
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"AscendW8A8DynamicLinearMethod",
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"AscendW8A8DynamicFusedMoEMethod",
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"AscendW8A8MXFP8DynamicLinearMethod",
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"AscendW8A8PDMixLinearMethod",
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"AscendW8A8PDMixFusedMoeMethod",
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"AscendW8A16LinearMethod",
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"AscendW4A8DynamicLinearMethod",
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"AscendW4A8DynamicFusedMoEMethod",
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"AscendW4A16FusedMoEMethod",
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"AscendW4A4FlatQuantDynamicLinearMethod",
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"AscendW4A4LaosDynamicLinearMethod",
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]
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