xinyu-intel commented on a change in pull request #12808: MKL-DNN Quantization Examples and README URL: https://github.com/apache/incubator-mxnet/pull/12808#discussion_r225604949
########## File path: example/ssd/quantization.py ########## @@ -0,0 +1,168 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you 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 __future__ import print_function +import os +import sys +import importlib +import mxnet as mx +from dataset.iterator import DetRecordIter +from config.config import cfg +from evaluate.eval_metric import MApMetric, VOC07MApMetric +import argparse +import logging +import time +from symbol.symbol_factory import get_symbol +from symbol import symbol_builder +from mxnet.base import SymbolHandle, check_call, _LIB, mx_uint, c_str_array +import ctypes +from mxnet.contrib.quantization import * + +def save_symbol(fname, sym, logger=None): + if logger is not None: + logger.info('Saving symbol into file at %s' % fname) + sym.save(fname) + + +def save_params(fname, arg_params, aux_params, logger=None): + if logger is not None: + logger.info('Saving params into file at %s' % fname) + save_dict = {('arg:%s' % k): v.as_in_context(cpu()) for k, v in arg_params.items()} + save_dict.update({('aux:%s' % k): v.as_in_context(cpu()) for k, v in aux_params.items()}) + mx.nd.save(fname, save_dict) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser(description='Generate a calibrated quantized SSD model from a FP32 model') + parser.add_argument('--batch-size', type=int, default=32) + parser.add_argument('--num-calib-batches', type=int, default=5, + help='number of batches for calibration') + parser.add_argument('--exclude-first-conv', action='store_true', default=True, + help='excluding quantizing the first conv layer since the' + ' number of channels is usually not a multiple of 4 in that layer' + ' which does not satisfy the requirement of cuDNN') + parser.add_argument('--shuffle-dataset', action='store_true', default=True, + help='shuffle the calibration dataset') + parser.add_argument('--shuffle-chunk-seed', type=int, default=3982304, + help='shuffling chunk seed, see' + ' https://mxnet.incubator.apache.org/api/python/io/io.html?highlight=imager#mxnet.io.ImageRecordIter' + ' for more details') + parser.add_argument('--shuffle-seed', type=int, default=48564309, + help='shuffling seed, see' + ' https://mxnet.incubator.apache.org/api/python/io/io.html?highlight=imager#mxnet.io.ImageRecordIter' + ' for more details') + parser.add_argument('--calib-mode', type=str, default='naive', + help='calibration mode used for generating calibration table for the quantized symbol; supports' + ' 1. none: no calibration will be used. The thresholds for quantization will be calculated' Review comment: Added at the beginning of this readme. Thanks. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
