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83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
"""
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# 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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from abc import ABC, abstractmethod
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from typing import Any, Optional
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class QuantMethodBase(ABC):
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"""Base class for different quantized methods."""
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@abstractmethod
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def create_weights(self, layer, *weight_args, **extra_weight_attrs):
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"""Create weights for a layer.
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The weights will be set as attributes of the layer."""
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raise NotImplementedError
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@abstractmethod
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def apply(self, layer, *args, **kwargs):
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"""Apply the weights in layer to the input tensor.
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Expects create_weights to have been called before on the layer."""
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raise NotImplementedError
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def process_loaded_weights(self, layer, weights):
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"""Process the weight after loading.
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This can be used for example, to transpose weights for computation.
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"""
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return
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class QuantConfigBase(ABC):
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"""Base class for quantization configs."""
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def __init__(self):
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super().__init__()
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@abstractmethod
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def name(self) -> str:
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"""Name of the quantization method."""
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raise NotImplementedError
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@classmethod
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@abstractmethod
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def from_config(cls, config: dict) -> "QuantConfigBase":
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"""Create a config class from the model's quantization config."""
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raise NotImplementedError
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@staticmethod
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def get_from_keys(config: dict[str, Any], keys: list[str]) -> Any:
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"""Get a value from the model's quantization config."""
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for key in keys:
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if key in config:
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return config[key]
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raise ValueError(f"Cannot find any of {keys} in the model's " "quantization config.")
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@abstractmethod
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def get_quant_method(self, layer, prefix) -> Optional[QuantMethodBase]:
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"""Get the quantize method to use for the quantized layer.
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Args:
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layer: The layer for the quant method.
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prefix: The full name of the layer in the state dict
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Returns:
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The quantize method. None if the given layer doesn't support quant
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method.
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"""
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raise NotImplementedError
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