#!/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.# ******************************************************************************"""Recording utilities."""__all__=["record_quantization_variables"]importnumpyasnpfrom..layersimportrecording
[docs]defrecord_quantization_variables(model):"""Helper method to record quantization objects in the graph. Passing a dummy sample through the model in recording mode, this triggers the recording of all dynamic quantization objects. Args: model (keras.Model): model for which objects need to be recorded. """def_gen_dummy_sample(shape):sample=np.random.randint(0,255,size=(1,*shape))returnsample.astype(np.float32)withrecording(True):# Create sample and pass it through the model to calibrate variablessample=_gen_dummy_sample(model.input.shape[1:])model(sample)