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71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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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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quantization module
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"""
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from typing import Dict, List, Type
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from .quant_base import QuantConfigBase
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QUANTIZATION_METHODS: List[str] = [
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"wint2",
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"wint4",
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"wint8",
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"weight_only",
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"block_wise_fp8",
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"w4afp8",
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"w8a8",
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"w4a8",
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"wfp8afp8",
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"mix_quant",
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"tensor_wise_fp8",
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"kvcache",
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]
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def get_quantization_config(quantization: str) -> Type[QuantConfigBase]:
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"""
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Get the quantization config class by the quantization name.
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"""
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if quantization not in QUANTIZATION_METHODS:
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raise ValueError(f"Invalid quantization method: {quantization}")
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from .block_wise_fp8 import BlockWiseFP8Config
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from .kv_cache import KvCacheQuantConfig
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from .mix_quant import MixQuantConfig
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from .tensor_wise_fp8 import TensorWiseFP8Config
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from .w4a8 import W4A8Config
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from .w4afp8 import W4AFP8Config
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from .w8a8 import W8A8Config
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from .weight_only import WeightOnlyConfig, WINT4Config, WINT8Config
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from .wfp8afp8 import WFP8AFP8Config
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from .wint2 import WINT2Config
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method_to_config: Dict[str, Type[QuantConfigBase]] = {
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"wint2": WINT2Config,
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"wint4": WINT4Config,
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"wint8": WINT8Config,
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"weight_only": WeightOnlyConfig,
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"block_wise_fp8": BlockWiseFP8Config,
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"w4afp8": W4AFP8Config,
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"w8a8": W8A8Config,
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"w4a8": W4A8Config,
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"wfp8afp8": WFP8AFP8Config,
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"tensor_wise_fp8": TensorWiseFP8Config,
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"kvcache": KvCacheQuantConfig,
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"mix_quant": MixQuantConfig,
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}
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return method_to_config[quantization]
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