2023-01-11 19:55:47 +08:00
|
|
|
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
|
|
|
#
|
|
|
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
|
|
|
# you may not use this file except in compliance with the License.
|
|
|
|
|
# You may obtain a copy of the License at
|
|
|
|
|
#
|
|
|
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
|
#
|
|
|
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
|
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
|
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
|
|
|
# See the License for the specific language governing permissions and
|
|
|
|
|
# limitations under the License.
|
|
|
|
|
|
|
|
|
|
from paddle.nn import Layer
|
|
|
|
|
|
|
|
|
|
from .base_quanter import BaseQuanter
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class ObserveWrapper(Layer):
|
|
|
|
|
r"""
|
|
|
|
|
Put an observer layer and an observed layer into a wrapping layer.
|
|
|
|
|
It is used to insert layers into the model for QAT or PTQ.
|
|
|
|
|
Args:
|
2024-01-22 14:26:50 +08:00
|
|
|
observer(BaseQuanter): Observer layer
|
|
|
|
|
observed(Layer): Observed layer
|
|
|
|
|
observe_input(bool): If it is true the observer layer will be called before observed layer.
|
2023-01-11 19:55:47 +08:00
|
|
|
If it is false the observed layer will be called before observer layer. Default: True.
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
def __init__(
|
|
|
|
|
self,
|
|
|
|
|
observer: BaseQuanter,
|
|
|
|
|
observed: Layer,
|
|
|
|
|
observe_input=True,
|
|
|
|
|
):
|
2023-03-20 17:55:36 +08:00
|
|
|
super().__init__()
|
2023-01-11 19:55:47 +08:00
|
|
|
self._observer = observer
|
|
|
|
|
self._observed = observed
|
|
|
|
|
self._observe_input = observe_input
|
|
|
|
|
|
|
|
|
|
def forward(self, *inputs, **kwargs):
|
|
|
|
|
if self._observe_input:
|
|
|
|
|
out = self._observer(*inputs, **kwargs)
|
|
|
|
|
return self._observed(out, **kwargs)
|
|
|
|
|
else:
|
|
|
|
|
out = self._observed(*inputs, **kwargs)
|
|
|
|
|
return self._observer(out, **kwargs)
|
