#!/usr/bin/env python# ******************************************************************************# Copyright 2022 Brainchip Holdings Ltd.## 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.# ******************************************************************************__all__=["QuantizedDropout"]importkerasfrom.layers_baseimport(register_quantize_target,tensor_inputs,register_no_output_quantizer,QuantizedLayer)from..tensorsimportQTensor
[docs]@register_quantize_target(keras.layers.Dropout)@register_no_output_quantizer@keras.saving.register_keras_serializable()classQuantizedDropout(QuantizedLayer,keras.layers.Dropout):""" A dropout layer that operates on quantized inputs and weights. It is only implemented as a passthrough. """@tensor_inputs([QTensor])defcall(self,inputs):# QuantizedDropout act as a pass through.returninputsdefget_config(self):returnkeras.layers.Dropout.get_config(self)